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31st CIKM 2022: Atlanta, GA, USA
- Mohammad Al Hasan, Li Xiong:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. ACM 2022, ISBN 978-1-4503-9236-5
Keynote Talks
- Evgeniy Gabrilovich:
Implicit User-Generated Content in the Service of Public Health. 1 - Ling Liu:
Ensemble Learning Methods for Dirty Data. 2 - Divesh Srivastava, Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann:
Exploring and Analyzing Change: The Janus Project. 3 - Jaime Teevan:
How Hybrid Work Will Make Work More Intelligent. 4
CIKM'22 Full Papers
- Mustafa Abdallah
, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi:
AutoForecast: Automatic Time-Series Forecasting Model Selection. 5-14 - Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos
, Pascal Frossard:
On Smoothed Explanations: Quality and Robustness. 15-25 - Manal A. Alshehri
, Xiangliang Zhang
:
Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation. 26-36 - Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan:
UnCommonSense: Informative Negative Knowledge about Everyday Concepts. 37-46 - Jose A. Ayala-Romero, Péter Mernyei, Bichen Shi, Diego Mazón:
KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning. 47-56 - Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. 57-66 - Xin Bi, Shining Zhang, Yu Zhang, Lei Hu, Wei Zhang, Wenjing Niu, Ye Yuan, Guoren Wang:
CASA-Net: A Context-Aware Correlation Convolutional Network for Scale-Adaptive Crack Detection. 67-76 - Koby Bibas, Oren Sar Shalom, Dietmar Jannach:
Collaborative Image Understanding. 77-87 - Le Binh, Rajat Tandon, Chingis Oinar, Jeffrey Liu, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Fred Morstatter, Simon S. Woo, Jelena Mirkovic:
Samba: Identifying Inappropriate Videos for Young Children on YouTube. 88-97 - Andreas Burgdorf, Alexander Paulus, André Pomp, Tobias Meisen
:
DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner. 98-107 - Xiaoyu Cai, Yao Fu
, Hong Zhao
, Weihao Jiang, Shiliang Pu:
Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. 108-117 - Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng:
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. 118-127 - Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang
, Longbo Huang:
Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. 128-137 - Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang:
Contrastive Cross-Domain Sequential Recommendation. 138-147 - Bing-Jyue Chen, De-Nian Yang:
User Recommendation in Social Metaverse with VR. 148-158 - Cen Chen, Tiandi Ye, Li Wang, Ming Gao:
Learning to Generalize in Heterogeneous Federated Networks. 159-168 - Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang:
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). 169-179 - Haonan Chen, Zhicheng Dou
, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen:
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. 180-190 - Jiangui Chen
, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. 191-200 - Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang:
Towards Self-supervised Learning on Graphs with Heterophily. 201-211 - Lihua Chen, Ning Yang, Philip S. Yu:
Time Lag Aware Sequential Recommendation. 212-221 - Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao:
GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases. 222-231 - Xuanlei Chen, Yan Zhao, Kai Zheng:
Task Publication Time Recommendation in Spatial Crowdsourcing. 232-241 - Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang:
Efficient Second-Order Optimization for Neural Networks with Kernel Machines. 242-251 - Ziheng Chen, Fabrizio Silvestri, Jia Wang
, He Zhu, Hongshik Ahn, Gabriele Tolomei:
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. 252-261 - Zirui Chen, Xin Wang, Chenxu Wang, Jianxin Li
:
Explainable Link Prediction in Knowledge Hypergraphs. 262-271 - Eunseong Choi, Sunkyung Lee
, Minjin Choi
, Hyeseon Ko, Young-In Song, Jongwuk Lee:
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval. 272-282 - Yoonhyuk Choi
, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim:
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. 283-292 - Yoonhyuk Choi
, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim:
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation. 293-303 - Hyeshin Chu, Joohee Kim, Seongouk Kim, Hongkyu Lim, Hyunwook Lee
, Seungmin Jin, Jongeun Lee, Taehwan Kim, Sungahn Ko:
An Empirical Study on How People Perceive AI-generated Music. 304-314 - Robin Cugny, Julien Aligon
, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste
:
AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. 315-324 - Jian Cui, Kwanwoo Kim, Seung Ho Na, Seungwon Shin:
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information. 325-334 - Yuanning Cui
, Yuxin Wang
, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. 335-344 - Qiangqiang Dai
, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang:
Scaling Up Maximal k-plex Enumeration. 345-354 - Julien Delaunay, Luis Galárraga, Christine Largouët:
When Should We Use Linear Explanations? 355-364 - Liwei Deng, Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu, Kai Zheng:
Efficient Trajectory Similarity Computation with Contrastive Learning. 365-374 - Chen-Lu Ding, Xin Luo
, Xiao-Ming Wu, Yu-Wei Zhan, Rui Li, Hui Zhang, Xin-Shun Xu:
Weakly-Supervised Online Hashing with Refined Pseudo Tags. 375-385 - Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo:
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. 386-395 - Hanwen Du
, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu
, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. 396-405 - Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. 406-415 - Vasisht Duddu, Antoine Boutet:
Inferring Sensitive Attributes from Model Explanations. 416-425 - Alexandre Duval
, Fragkiskos D. Malliaros:
Higher-order Clustering and Pooling for Graph Neural Networks. 426-435 - Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr:
Federated K-Private Set Intersection. 436-445 - Guglielmo Faggioli
, Nicola Ferro, Norbert Fuhr:
Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models. 446-456 - Rui Fan, Erick Delage:
Risk-Aware Bid Optimization for Online Display Advertisement. 457-467 - Shuhui Fan, Shaojing Fu, Yuchuan Luo, Haoran Xu, Xuyun Zhang
, Ming Xu:
Smart Contract Scams Detection with Topological Data Analysis on Account Interaction. 468-477 - Zekuan Fang, Fan Zhang, Ting Wang, Xiang Lian
, Mingsong Chen:
MonitorLight: Reinforcement Learning-based Traffic Signal Control Using Mixed Pressure Monitoring. 478-487 - Junbo Fei, Weixin Zeng, Xiang Zhao, Xuanyi Li, Weidong Xiao:
Few-Shot Relational Triple Extraction with Perspective Transfer Network. 488-498 - Chunhui Feng, Zhicheng Pan
, Junhua Fang, Jiajie Xu, Pengpeng Zhao, Lei Zhao:
Aries: Accurate Metric-based Representation Learning for Fast Top-k Trajectory Similarity Query. 499-508 - Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu:
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. 509-519 - Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo:
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. 520-529 - Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui:
DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server. 530-539 - Chongming Gao, Shijun Li
, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang
, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. 540-550 - Zhiqi Ge, Yuanyuan Guan, Ximing Li, Bo Fu:
Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning. 551-560 - Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond, Laurent-Walter Goix:
PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction. 561-571 - Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu:
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. 572-581 - Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. 582-591 - Daniel Glake, Fabian Panse, Ulfia Lenfers, Thomas Clemen, Norbert Ritter:
Spatio-temporal Trajectory Learning using Simulation Systems. 592-602 - Fengjiao Gong, Yuzhou Nie, Hongteng Xu:
Gromov-Wasserstein Multi-modal Alignment and Clustering. 603-613 - Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li:
ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering. 614-623 - Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim:
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. 624-634 - Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang, Xuemin Lin, Dian Ouyang:
Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks. 635-645 - Shuai Guo, Yang Gu, Shijie Wen, Yuan Ma, Yiqiang Chen, Jiwei Wang, Chunyu Hu:
KiCi: A Knowledge Importance Based Class Incremental Learning Method for Wearable Activity Recognition. 646-655 - Xianjie Guo
, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu:
Bootstrap-based Causal Structure Learning. 656-665 - Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu:
RAGUEL: Recourse-Aware Group Unfairness Elimination. 666-675 - Jinkun Han
, Wei Li, Zhipeng Cai, Yingshu Li:
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation. 676-685 - A. S. M. Ahsan-Ul-Haque, Hongning Wang:
Rethinking Conversational Recommendations: Is Decision Tree All You Need? 686-695 - Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. 696-705 - Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci
:
Change Detection for Local Explainability in Evolving Data Streams. 706-716 - Huarui He, Jie Wang, Yunfei Liu, Feng Wu:
Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables. 717-726 - Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang:
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. 727-736 - Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. 737-747 - Seoyoung Hong, Heejoo Shin, Jeongwhan Choi
, Noseong Park:
Prediction-based One-shot Dynamic Parking Pricing. 748-757 - Yu Hong, Zhixu Li, Jianfeng Qu, Jiaqing Liang, Yi Luo, Miyu Zhang, Yanghua Xiao, Wei Wang:
Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift. 758-767 - Amin Hosseiny Marani, Joshua Levine, Eric P. S. Baumer:
One Rating to Rule Them All?: Evidence of Multidimensionality in Human Assessment of Topic Labeling Quality. 768-779 - Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer:
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. 780-790 - Yidan Hu
, Yong Liu, Chunyan Miao, Yuan Miao
:
Memory Bank Augmented Long-tail Sequential Recommendation. 791-801 - Sunghyun Hwang, Dong-Kyu Chae:
An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering. 802-811 - Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. 812-821 - Nitisha Jain, Ralf Krestel:
Discovering Fine-Grained Semantics in Knowledge Graph Relations. 822-831 - Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang:
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. 832-841 - Hao Jiang
, Yuntao Liu, Shengze Li
, Jieyuan Zhang, Xinhai Xu, Donghong Liu:
Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. 842-851 - Song Jiang, Yizhou Sun:
Estimating Causal Effects on Networked Observational Data via Representation Learning. 852-861 - Xuefeng Jiang
, Sheng Sun, Yuwei Wang, Min Liu:
Towards Federated Learning against Noisy Labels via Local Self-Regularization. 862-873 - Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu:
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. 874-883 - Xin Jin, Xia Sun, Jiacheng Chen, Richard F. E. Sutcliffe:
Extracting Drug-drug Interactions from Biomedical Texts using Knowledge Graph Embeddings and Multi-focal Loss. 884-893 - Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. 894-904 - Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi:
Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation. 905-914 - Carl Johnell, Morteza Haghir Chehreghani:
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms. 915-924 - Endri Kacupaj, Kuldeep Singh, Maria Maleshkova
, Jens Lehmann:
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs. 925-934 - Yilin Kang, Yong Liu, Jian Li
, Weiping Wang:
Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth. 951-961 - Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo:
Residual Correction in Real-Time Traffic Forecasting. 962-971 - Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun
:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. 972-981 - Sunoh Kim, Taegil Ha, Kimin Yun, Jin Young Choi:
SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding. 982-992 - Taeri Kim, Yeon-Chang Lee
, Kijung Shin, Sang-Wook Kim:
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. 993-1002 - Kaiting Lai, Yinong Long, Bowen Wu, Ying Li, Baoxun Wang:
Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection. 1003-1013 - Tinghao Lai, Yan Zhao, Weizhu Qian, Kai Zheng:
Loyalty-based Task Assignment in Spatial Crowdsourcing. 1014-1023 - Yuquan Le, Yuming Zhao, Meng Chen, Zhe Quan, Xiaodong He, Kenli Li:
Legal Charge Prediction via Bilinear Attention Network. 1024-1033 - Gwanghan Lee, Saebyeol Shin, Simon S. Woo:
Accelerating CNN via Dynamic Pattern-based Pruning Network. 1034-1043 - Hanbeen Lee, Jeongho Kim, Simon S. Woo:
Sliding Cross Entropy for Self-Knowledge Distillation. 1044-1053 - Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park:
Relational Self-Supervised Learning on Graphs. 1054-1063 - Seonjae Lee, Myoung-Hoon Lee, Jun Moon:
Maximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front. 1064-1073 - Chuanwen Li, Yu Gu, Jianzhong Qi
, Ge Yu:
Parallel Skyline Processing Using Space Pruning on GPU. 1074-1083 - Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin:
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. 1084-1093 - Guohui Li, Zhiqiang Guo
, Jianjun Li, Chaoyang Wang:
MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies. 1094-1103 - Huahang Li, Shuangyin Li
, Yuncheng Jiang, Gansen Zhao:
CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings. 1104-1113 - Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen
, Zhengwei Tao, Chongyang Tao:
SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. 1114-1123 - Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley
, Chun-Nan Hsu:
SPOT: Knowledge-Enhanced Language Representations for Information Extraction. 1124-1134 - Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang
, Claude Sammut:
Multi-agent Transformer Networks for Multimodal Human Activity Recognition. 1135-1145 - Junhui Li, Wensheng Gan, Yijie Gui, Yongdong Wu, Philip S. Yu:
Frequent Itemset Mining with Local Differential Privacy. 1146-1155 - Ke Li, Bin Guo, Siyuan Ren, Zhiwen Yu:
AdaDebunk: An Efficient and Reliable Deep State Space Model for Adaptive Fake News Early Detection. 1156-1165 - Mei Li, Xiangrui Cai, Linyu Li, Sihan Xu, Hua Ji:
Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction. 1166-1176 - Ping Li, Xiaoyun Li, Gennady Samorodnitsky:
℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning. 1177-1187 - Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. 1188-1198 - Xinhang Li
, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang
, Yong Zhang, Chunxiao Xing, Xian Wu
:
Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation. 1199-1208 - Yinfeng Li
, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. 1209-1218 - Zhuoming Li, Darong Lai:
Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization. 1219-1228 - Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
TrajFormer: Efficient Trajectory Classification with Transformers. 1229-1237 - Allen Lin, Jianling Wang, Ziwei Zhu
, James Caverlee:
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. 1238-1247 - Fudong Lin, Xu Yuan
, Lu Peng, Nian-Feng Tzeng
:
Cascade Variational Auto-Encoder for Hierarchical Disentanglement. 1248-1257 - Bing Liu, Wen Hua
, Guido Zuccon
, Genghong Zhao, Xia Zhang:
High-quality Task Division for Large-scale Entity Alignment. 1258-1268 - Hanyang Liu, Michael Montana, Dingwen Li, Chase Renfroe, Thomas George Kannampallil, Chenyang Lu:
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks. 1269-1278 - Jiaxin Liu
, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng:
Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. 1279-1288 - Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin:
DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. 1289-1298 - Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu:
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. 1299-1308 - Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou, Kai Zheng:
Efficient Learning with Pseudo Labels for Query Cost Estimation. 1309-1318 - Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng:
HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic. 1319-1328 - Yang Liu, Zequn Sun, Guangyao Li, Wei Hu:
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. 1329-1338 - Yao Liu
, Lina Yao, Binghao Li, Xianzhi Wang
, Claude Sammut:
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. 1339-1349 - Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen:
Improving Personality Consistency in Conversation by Persona Extending. 1350-1359 - Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? 1360-1368 - Wei Lu, Zhaobo Zhang, Pingpeng Yuan, Hai Jin, Qiang-Sheng Hua:
Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters. 1369-1378 - Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming:
Dual-Task Learning for Multi-Behavior Sequential Recommendation. 1379-1388 - Sichun Luo
, Xinyi Zhang, Yuanzhang Xiao, Linqi Song
:
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. 1389-1398 - Fuyuan Lyu
, Xing Tang
, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. 1399-1409 - Yuanjie Lyu, Chen Zhu, Tong Xu, Zikai Yin, Enhong Chen:
Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer. 1410-1419 - Changsheng Ma
, Qiang Yang
, Xin Gao, Xiangliang Zhang
:
DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model. 1420-1429 - Chenglong Ma
, Yongli Ren, Pablo Castells, Mark Sanderson
:
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. 1430-1440 - Guanghui Ma
, Chunming Hu, Ling Ge
, Junfan Chen, Hong Zhang, Richong Zhang:
Towards Robust False Information Detection on Social Networks with Contrastive Learning. 1441-1450 - Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao:
Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. 1451-1460 - Runze Ma, Yidan Zhang
, Xinye Wang
, Zhenyang Yu, Lei Duan:
MORN: Molecular Property Prediction Based on Textual-Topological-Spatial Multi-View Learning. 1461-1470 - Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. 1471-1480 - Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla:
Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. 1481-1490 - Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking with a Corpus Graph. 1491-1500 - Zhenyu Mao, Ziyue Li
, Dedong Li, Lei Bai
, Rui Zhao:
Jointly Contrastive Representation Learning on Road Network and Trajectory. 1501-1510 - Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco
:
Cascade-based Echo Chamber Detection. 1511-1520 - Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai, None None:
Mining Reaction and Diffusion Dynamics in Social Activities. 1521-1531 - K. V. M. Naidu, Praveen Gupta, Vaishnavi Gujjula
:
Network Aware Forecasting for eCommerce Supply Planning. 1532-1541 - Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer:
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. 1542-1551 - Thi Huyen Nguyen
, Koustav Rudra:
Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs. 1552-1562 - Wentao Ning
, Reynold Cheng, Jiajun Shen
, Nur Al Hasan Haldar
, Ben Kao, Xiao Yan, Nan Huo, Wai Kit Lam, Tian Li, Bo Tang:
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation. 1563-1572 - Hui Niu, Siyuan Li, Jian Li:
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. 1573-1583 - Sejoon Oh
, Berk Ustun, Julian J. McAuley
, Srijan Kumar:
Rank List Sensitivity of Recommender Systems to Interaction Perturbations. 1584-1594 - Yi Ouyang, Peng Wu, Li Pan:
Asymmetrical Context-aware Modulation for Collaborative Filtering Recommendation. 1595-1604 - Soumen Pachal, Avinash Achar:
Sequence Prediction under Missing Data: An RNN Approach without Imputation. 1605-1614 - Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
Analysis of Knowledge Transfer in Kernel Regime. 1615-1624 - Shaowen Peng, Kazunari Sugiyama
, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. 1625-1634 - Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang:
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. 1645-1654 - Yuqi Qin, Pengfei Wang
, Biyu Ma, Zhe Zhang:
A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention. 1655-1665 - Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama
, Marcus de Carvalho:
Reinforced Continual Learning for Graphs. 1666-1674 - Houxing Ren, Jingyuan Wang, Wayne Xin Zhao:
RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis. 1675-1684 - Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu
, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. 1685-1695 - Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu
, Philip S. Yu, Lifang He:
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. 1696-1705 - Shaogang Ren, Ping Li:
Flow-based Perturbation for Cause-effect Inference. 1706-1715 - Yi Ren, Hongyan Tang, Siwen Zhu:
Unbiased Learning to Rank with Biased Continuous Feedback. 1716-1725 - Abilasha S
, Sahely Bhadra, Ahmed Zaheer Dadarkar, Deepak P:
Deep Extreme Mixture Model for Time Series Forecasting. 1726-1735 - Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini
, Paolo Papotti:
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? 1736-1746 - Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia
:
PLAID: An Efficient Engine for Late Interaction Retrieval. 1747-1756 - Ryoma Sato:
Towards Principled User-side Recommender Systems. 1757-1766 - Qijie Shen, Hong Wen, Jing Zhang
, Qi Rao:
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search. 1767-1776 - Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang
, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. 1777-1786 - A. B. Siddique, Muhammad Hasan Maqbool, Kshitija Taywade, Hassan Foroosh:
Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function. 1787-1797 - Ilija Simic, Vedran Sabol, Eduardo E. Veas:
Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution. 1798-1807 - Hongzu Su, Yifei Zhang
, Xuejiao Yang, Hua Hua, Shuangyang Wang, Jingjing Li:
Cross-domain Recommendation via Adversarial Adaptation. 1808-1817 - Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction. 1818-1826 - Li Sun, Junda Ye, Hao Peng, Philip S. Yu:
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. 1827-1836 - Longlong Sun, Hui Li, Yanguo Peng, Jiangtao Cui:
Serpens: Privacy-Preserving Inference through Conditional Separable of Convolutional Neural Networks. 1837-1847 - Qingyun Sun
, Jianxin Li, Haonan Yuan
, Xingcheng Fu
, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. 1848-1857 - Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An:
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. 1858-1867 - Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. 1868-1877 - Shiyin Tan
, Jingyi You, Dongyuan Li:
Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network. 1878-1888 - Yihong Tang
, Ao Qu, Andy H. F. Chow
, William H. K. Lam, Sze Chun Wong, Wei Ma
:
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities. 1905-1915 - Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang:
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems. 1916-1924 - Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao:
Temporal Contrastive Pre-Training for Sequential Recommendation. 1925-1934 - Abhisek Tiwari, Manisimha Manthena, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar
, Sarbajeet Tiwari:
Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant. 1935-1944 - Hanwen Tong, Chenhao Xie, Jiaqing Liang, Qianyu He, Zhiang Yue, Jingping Liu, Yanghua Xiao, Wenguang Wang:
A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction. 1945-1954 - Hai Dang Tran, Andrew Yates:
Dense Retrieval with Entity Views. 1955-1964 - Ali Vardasbi, Maarten de Rijke
, Mostafa Dehghani:
Intersection of Parallels as an Early Stopping Criterion. 1965-1974 - Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong:
Adaptive Multi-Source Causal Inference from Observational Data. 1975-1985 - Govind Waghmare, Ankur Debnath, Siddhartha Asthana, Aakarsh Malhotra:
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes. 1986-1995 - Bingning Wang, Feiyang Lv, Ting Yao, Jin Ma, Yu Luo, Haijin Liang:
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. 1996-2006 - Chenyang Wang, Zhefan Wang, Yankai Liu, Yang Ge, Weizhi Ma, Min Zhang, Yiqun Liu, Junlan Feng, Chao Deng, Shaoping Ma:
Target Interest Distillation for Multi-Interest Recommendation. 2007-2016 - Lei Wang, Ee-Peng Lim
, Zhiwei Liu, Tianxiang Zhao:
Explanation Guided Contrastive Learning for Sequential Recommendation. 2017-2027 - Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang:
Generative-Free Urban Flow Imputation. 2028-2037 - Shuo Wang, Yifei Zhang, Bochen Lin, Boxun Li:
Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model. 2038-2045 - Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang
:
AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training. 2046-2055 - Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang
, Philip S. Yu:
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. 2056-2066 - Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. 2067-2076 - Zhuoyi Wang, Dingcheng Li, Ping Li:
Latent Coreset Sampling based Data-Free Continual Learning. 2077-2087 - Zilong Wang, Liya Guo, Junming Yin, Shuai Li:
Bandit Learning in Many-to-One Matching Markets. 2088-2097 - Ziyang Wang, Huoyu Liu, Wei Wei, Yue Hu, Xian-Ling Mao, Shaojian He, Rui Fang, Dangyang Chen:
Multi-level Contrastive Learning Framework for Sequential Recommendation. 2098-2107 - Chunyu Wei, Jian Liang, Bing Bai, Di Liu:
Dynamic Hypergraph Learning for Collaborative Filtering. 2108-2117 - Pengfei Wei, Xinghua Qu, Wen Song
, Zejun Ma:
Dynamic Transfer Gaussian Process Regression. 2118-2127 - Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke
, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. 2128-2137 - Ensen Wu, Hongyan Cui, Zunming Chen:
RelpNet: Relation-based Link Prediction Neural Network. 2138-2147 - Haolun Wu, Chen Ma
, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. 2148-2157 - Hongfa Wu, Lisai Zhang
, Qingcai Chen, Yimeng Deng, Joanna Siebert, Yunpeng Han, Zhonghua Li, Dejiang Kong, Zhao Cao:
Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval. 2158-2168 - Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao
, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang:
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. 2169-2178 - Meihan Wu
, Li Li, Chang Tao, Eric Rigall, Xiaodong Wang, Cheng-Zhong Xu:
FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction. 2179-2188 - Po-Cheng Wu, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Incorporating Peer Reviews and Rebuttal Counter-Arguments for Meta-Review Generation. 2189-2198 - Yuexin Wu, Xiaolei Huang
:
A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. 2199-2209 - Yuyang Xia, Shuncheng Liu, Xu Chen, Zhi Xu, Kai Zheng, Han Su:
RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning. 2210-2219 - Teng Xiao
, Zhengyu Chen
, Suhang Wang
:
Representation Matters When Learning From Biased Feedback in Recommendation. 2220-2229 - Jiandong Xie, Yue Cui
, Feiteng Huang, Chao Liu, Kai Zheng:
MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis. 2230-2239 - Kexuan Xin
, Zequn Sun, Wen Hua
, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. 2240-2249 - Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He:
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL. 2250-2259 - Chen Xu
, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. 2260-2269 - Lingjun Xu, Shiyin Zhang, Guojie Song, Junshan Wang, Tianshu Wu, Guojun Liu:
Taxonomy-Enhanced Graph Neural Networks. 2270-2279 - Qianxiong Xu
, Sijie Ruan, Cheng Long, Liang Yu, Chen Zhang
:
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training. 2280-2289 - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. 2290-2300 - Shuyuan Xu
, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke
, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. 2301-2310 - Tianyu Xu, Wen Hua
, Jianfeng Qu, Zhixu Li, Jiajie Xu, An Liu, Lei Zhao:
Evidence-aware Document-level Relation Extraction. 2311-2320 - Wanyue Xu, Liwang Zhu, Jiale Guan, Zuobai Zhang, Zhongzhi Zhang:
Effects of Stubbornness on Opinion Dynamics. 2321-2330 - Xiaojia Xu, An Liu, Guanfeng Liu
, Zhixu Li, Lei Zhao:
Drive Less but Finish More: Food Delivery based on Multi-Level Workers in Spatial Crowdsourcing. 2331-2340 - Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong:
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. 2341-2351 - Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher:
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion. 2352-2361 - Jinghua Yang, Chuan Chen, Hong-Ning Dai
, Meng Ding, Lele Fu, Zibin Zheng:
Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. 2362-2371 - Benedict Yeoh, Huijuan Wang:
GROWN+UP: A "Graph Representation Of a Webpage" Network Utilizing Pre-training. 2372-2382 - Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui:
Scalable Graph Sampling on GPUs with Compressed Graph. 2383-2392 - Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang:
A Biased Sampling Method for Imbalanced Personalized Ranking. 2393-2402 - Ruiyun Yu, Kang Yang
, Bingyang Guo:
The Interaction Graph Auto-encoder Network Based on Topology-aware for Transferable Recommendation. 2403-2412 - Tao Yu, Yao Fu
, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu:
Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. 2413-2422 - Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang
, Dong Wang:
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. 2423-2433 - Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. 2434-2443 - Fankai Zeng, Mingbo Zhao, Zhao Zhang, Shanchuan Gao, Lu Cheng:
Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer. 2444-2454 - Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li:
Causal Learning Empowered OD Prediction for Urban Planning. 2455-2464 - Kaisheng Zeng, Zhenhao Dong, Lei Hou
, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Lei Cao, Xin Wang, Haozhuang Liu, Yi Huang, Junlan Feng, Jing Wan, Juanzi Li, Ling Feng:
Interactive Contrastive Learning for Self-Supervised Entity Alignment. 2465-2475 - Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu:
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. 2476-2485 - Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. 2486-2496 - Chaoli Zhang, Tian Zhou
, Qingsong Wen, Liang Sun:
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. 2497-2507 - Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li:
Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. 2508-2518 - Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang:
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. 2519-2528 - Fuwei Zhang
, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He:
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. 2529-2538 - Haoqi Zhang
, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu:
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. 2539-2548 - Hengyu Zhang
, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen
, Xiu Li, Ruiming Tang:
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. 2549-2558 - Jiazheng Zhang
, Bang Wang:
Dismantling Complex Networks by a Neural Model Trained from Tiny Networks. 2559-2568 - Junwei Zhang, Ruifang He, Fengyu Guo, Jinsong Ma, Mengnan Xiao:
Disentangled Representation for Long-tail Senses of Word Sense Disambiguation. 2569-2579 - Qianzhen Zhang, Deke Guo, Xiang Zhao, Lailong Luo:
Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together. 2580-2589 - Qinggang Zhang
, Junnan Dong
, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. 2590-2599 - Rui Zhang
, Arthur Zimek
, Peter Schneider-Kamp
:
A Simple Meta-path-free Framework for Heterogeneous Network Embedding. 2600-2609 - Rui Zhang
, Arthur Zimek
, Peter Schneider-Kamp
:
Unsupervised Representation Learning on Attributed Multiplex Network. 2610-2619 - Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu
, Qingyun Sun
, Yangyang Li, Jingyi Zhang, Philip S. Yu:
Automating DBSCAN via Deep Reinforcement Learning. 2620-2630 - Song Zhang
, Nan Zheng, Danli Wang:
GBERT: Pre-training User representations for Ephemeral Group Recommendation. 2631-2639 - Xuanyu Zhang, Qing Yang, Dongliang Xu:
DeepVT: Deep View-Temporal Interaction Network for News Recommendation. 2640-2650 - Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu
, Hui Song, Yangyong Zhu:
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. 2651-2660 - Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang:
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. 2661-2670 - Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. 2671-2680 - Kesen Zhao
, Xiangyu Zhao, Zijian Zhang
, Muyang Li
:
MAE4Rec: Storage-saving Transformer for Sequential Recommendations. 2681-2690 - Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen:
CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. 2691-2700 - Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun:
Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference. 2701-2710 - Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu:
End-to-end Modularity-based Community Co-partition in Bipartite Networks. 2711-2720 - Dawei Zhou, Lecheng Zheng
, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. 2721-2731 - Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia:
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. 2732-2742 - Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang:
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. 2743-2752 - Yao Zhou, Jun Wu
, Haixun Wang, Jingrui He:
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. 2753-2762 - Zhiheng Zhou, Tao Wang, Linfang Hou, Xinyuan Zhou, Mian Ma, Zhuoye Ding:
Decoupled Hyperbolic Graph Attention Network for Modeling Substitutable and Complementary Item Relationships. 2763-2772 - Zile Zhou, Xiao Zhou, Mingzhe Li, Yang Song, Tao Zhang, Rui Yan:
Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment. 2773-2783 - Yutao Zhu, Jian-Yun Nie
, Yixuan Su, Haonan Chen, Xinyu Zhang, Zhicheng Dou
:
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking. 2784-2794 - Jun Zhuang, Mohammad Al Hasan:
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. 2795-2805 - Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang
, Xing Xie, Yinliang Yue:
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. 2806-2816 - Ding Zou
, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu
, Rui Fang, Dangyang Chen:
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning. 2817-2826 - Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong:
Hierarchical Conversational Preference Elicitation with Bandit Feedback. 2827-2836
CIKM'22 Applied Research Papers
- Ahmad Ajalloeian, Michalis Vlachos
, Johannes Schneider, Alexis Steinmann:
A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay. 2853-2862 - Javier Albert, Dmitri Goldenberg:
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling. 2863-2872 - Miguel Alves Gomes
, Richard Meyes, Philipp Meisen, Tobias Meisen
:
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings. 2873-2882 - Xiao Bai, Lei Duan, Richard Tang, Gaurav Batra, Ritesh Agrawal:
Improving Text-based Similar Product Recommendation for Dynamic Product Advertising at Yahoo. 2883-2892 - Hannah Bast, Johannes Kalmbach
, Theresa Klumpp, Florian Kramer, Niklas Schnelle:
Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs. 2893-2902 - Roy Benjamin
, Uriel Singer, Kira Radinsky:
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction. 2903-2912 - Nan Bi, Pablo Castells, Daniel Gilbert, Slava Galperin, Patrick Tardif, Sachin Ahuja:
Debiased Balanced Interleaving at Amazon Search. 2913-2922 - Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen:
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. 2923-2932 - Stella Biderman, Edward Raff
:
Fooling MOSS Detection with Pretrained Language Models. 2933-2943 - Kaiyan Cao, Deqing Yang, Jingping Liu, Jiaqing Liang, Yanghua Xiao, Feng Wei, Baohua Wu, Quan Lu:
A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction. 2944-2953 - Lele Cao
, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren:
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data. 2954-2963 - Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang
, Qingwen Liu, Shouling Ji:
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. 2964-2973 - Yue Cao, Xiaojiang Zhou, Jiaqi Feng, Peihao Huang, Yao Xiao, Dayao Chen, Sheng Chen:
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction. 2974-2983 - Bo Chen
, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang:
Numerical Feature Representation with Hybrid N-ary Encoding. 2984-2993 - Bo Chen, Jiayi Liu, Mieradilijiang Maimaiti, Xing Gao, Ji Zhang:
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce. 2994-3002 - Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng:
Hierarchically Constrained Adaptive Ad Exposure in Feeds. 3003-3012 - Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. 3013-3022 - Xiusi Chen, Jyun-Yu Jiang, Kun Jin
, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang:
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. 3023-3032 - Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro
, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. 3033-3042 - Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li:
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. 3043-3051 - Ben Chugg, Nicolas Rothbacher, Alex Feng, Xiaoqi Long, Daniel E. Ho
:
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act. 3052-3062 - Miao Fan, Jizhou Huang
, Haifeng Wang:
DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps. 3063-3071 - Zhengqing Gao, Huimin Wu, Martin Takác, Bin Gu:
Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints. 3072-3081 - Bhavya Ghai, Mihir Mishra, Klaus Mueller
:
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions. 3082-3091 - Mogan Gim, Donghee Choi
, Kana Maruyama, Jihun Choi, Hajung Kim, Donghyeon Park, Jaewoo Kang:
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer. 3092-3102 - Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Real-time Short Video Recommendation on Mobile Devices. 3103-3112 - Bin Gu, Zhou Zhai, Xiang Li, Heng Huang:
Towards Fairer Classifier via True Fairness Score Path. 3113-3121 - Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:
UDM: A Unified Deep Matching Framework in Recommender Systems. 3122-3130 - Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma
, Roberto Yus
, Nalini Venkatasubramanian:
Sentaur: Sensor Observable Data Model for Smart Spaces. 3131-3140 - Cuize Han, Pablo Castells, Parth Gupta, Xu Xu, Vamsi Salaka:
Addressing Cold Start in Product Search via Empirical Bayes. 3141-3151 - Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang:
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. 3152-3161 - Connor Henderson, Spencer Bryson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte
:
BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML. 3162-3171 - Jizhou Huang
, Zhengjie Huang, Xiaomin Fang
, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang:
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. 3172-3181 - Jizhou Huang
, Haifeng Wang, Shaolei Wang:
DuIVRS: A Telephonic Interactive Voice Response System for Large-Scale POI Attribute Acquisition at Baidu Maps. 3182-3191 - Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit
, Samarth Swarup, Anil Vullikanti:
Incorporating Fairness in Large-scale Evacuation Planning. 3192-3201 - Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun:
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. 3202-3211 - Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng:
Adaptive Domain Interest Network for Multi-domain Recommendation. 3212-3221 - Sareena Karapoola, Nikhilesh Singh
, Chester Rebeiro, V. Kamakoti:
RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks. 3222-3232 - Kushal Kumar
, Anoop S. V. K. K. Saladi:
PAVE: Lazy-MDP based Ensemble to Improve Recall of Product Attribute Extraction Models. 3233-3242 - Kunpeng Li, Guangcui Shao, Naijun Yang, Xiao Fang, Yang Song:
Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou. 3243-3251 - Meng Li, Lu Yu, Ya-Lin Zhang
, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou:
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. 3252-3261 - Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma:
Query Rewriting in TaoBao Search. 3262-3271 - Sheng Li, Quanlong Guan, Liangda Fang, Fang Xiao, Zhenyu He, Yizhou He, Weiqi Luo:
Cognitive Diagnosis Focusing on Knowledge Concepts. 3272-3281 - Tong Li, Shiduo Xin, Yanxin Xi, Sasu Tarkoma, Pan Hui, Yong Li:
Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery. 3282-3291 - Xiangyang Li, Bo Chen
, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang:
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. 3292-3301 - Dandan Lin
, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen:
PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. 3302-3311 - Qianying Lin, Wen-Ji Zhou
, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang
:
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. 3312-3321 - Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun:
Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates. 3322-3331 - Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang:
Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. 3332-3341 - Mingxuan Lu
, Zhichao Han, Susie Xi Rao
, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang:
BRIGHT - Graph Neural Networks in Real-time Fraud Detection. 3342-3351 - Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. 3352-3360 - Wenjun Lyu, Kexin Zhang, Baoshen Guo, Zhiqing Hong, Guang Yang, Guang Wang, Yu Yang, Yunhuai Liu, Desheng Zhang:
Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery. 3361-3370 - Md. Parvez Mollah
, Biplob Debnath, Murugan Sankaradas, Srimat Chakradhar, Abdullah Mueen:
Efficient Compression Method for Roadside LiDAR Data. 3371-3380 - Abhirup Mondal, Anirban Majumder, Vineet Chaoji
:
MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments. 3381-3390 - Keyu Nie, Zezhong Zhang
, Bingquan Xu, Ted Tao Yuan:
Ensure A/B Test Quality at Scale with Automated Randomization Validation and Sample Ratio Mismatch Detection. 3391-3399 - Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren:
MIC: Model-agnostic Integrated Cross-channel Recommender. 3400-3409 - Behrooz Omidvar-Tehrani, Aurélien Personnaz, Sihem Amer-Yahia:
Guided Text-based Item Exploration. 3410-3420 - Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao:
Multimodal Meta-Learning for Cold-Start Sequential Recommendation. 3421-3430 - Madhura Pande, Vishal Kakkar, Manish Bansal, Surender Kumar, Chinmay Sharma, Himanshu Malhotra, Praneet Mehta:
Learning-to-Spell: Weak Supervision based Query Correction in E-Commerce Search with Small Strong Labels. 3431-3440 - Krishna Kantikiran Pasupuleti
, Dinesh Das, Satyanarayana R. Valluri, Mohamed Zaït:
Observability of SQL Hints in Oracle. 3441-3450 - Krishna Kantikiran Pasupuleti
, Boris Klots, Vijayakrishnan Nagarajan, Ananthakiran Kandukuri, Nipun Agarwal:
High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems. 3451-3460 - Indraneil Paul
, Sumit Negi:
Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data. 3461-3471 - Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson, Gavin Edwards, Andriy Nikolov, Eliseo Papa:
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy. 3472-3483 - Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song:
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. 3484-3494 - Youjin Shin, Eun-Ju Park, Simon S. Woo, Okchul Jung, Daewon Chung:
Selective Tensorized Multi-layer LSTM for Orbit Prediction. 3495-3504 - Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan:
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. 3505-3513 - Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee
:
WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. 3514-3523 - Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen, Peilin Chen:
A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. 3524-3533 - Shahroz Tariq
, Binh Minh Le, Simon S. Woo:
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. 3534-3544 - Yiheng Wang, Hexi Jin, Guanjie Zheng:
CTRL: Cooperative Traffic Tolling via Reinforcement Learning. 3545-3554 - Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. 3555-3564 - Deguo Xia
, Jizhou Huang
, Jianzhong Yang, Xiyan Liu
, Haifeng Wang:
DuARUS: Automatic Geo-object Change Detection with Street-view Imagery for Updating Road Database at Baidu Maps. 3565-3574 - Deguo Xia
, Xiyan Liu
, Wei Zhang, Hui Zhao, Chengzhou Li, Weiming Zhang, Jizhou Huang
, Haifeng Wang:
DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps. 3575-3583 - Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang
, Yuqi Liang:
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. 3584-3593 - Zhiyuan Yao, Zihan Ding, Thomas H. Clausen:
Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. 3594-3603 - Congde Yuan, Mengzhuo Guo, Chaoneng Xiang, Shuangyang Wang, Guoqing Song, Qingpeng Zhang:
An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising. 3604-3613 - Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar:
Offline Reinforcement Learning for Mobile Notifications. 3614-3623 - Won Joon Yun, David Mohaisen
, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. 3624-3633 - Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. 3634-3643 - Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan
, Yingjie Li, Lifang Wu, Bingchao Zheng:
QuickSkill: Novice Skill Estimation in Online Multiplayer Games. 3644-3653 - Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. 3654-3663 - Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Measuring Friendship Closeness: A Perspective of Social Identity Theory. 3664-3673 - Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang:
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. 3674-3683 - Yujing Zhang, Zhangming Chan
, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng:
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. 3684-3693 - Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed
, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. 3694-3704 - Zimu Zheng, Yunzhe Li, Han Song, Lanjun Wang, Fei Xia:
Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework. 3705-3714 - Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu:
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems. 3715-3724 - Fanwei Zhu, Zulong Chen, Fan Zhang, Jiazhen Lou, Hong Wen, Shui Liu, Qi Rao, Tengfei Yuan, Shenghua Ni, Jinxin Hu, Fuzhen Sun, Quan Lu:
SASNet: Stage-aware Sequential Matching for Online Travel Recommendation. 3725-3734 - Haoren Zhu
, Pengfei Zhao, Yiu-Pong Chan, Hong Kang, Dik Lun Lee:
Breast Cancer Early Detection with Time Series Classification. 3735-3745 - Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li:
Cross-Domain Product Search with Knowledge Graph. 3746-3755 - Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang
, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin:
Approximated Doubly Robust Search Relevance Estimation. 3756-3765
CIKM'22 Short Papers
- Nidhi Ahlawat, Amit Awekar:
Scaling Up Mass-Based Clustering. 3781-3785 - Mehdi Akbarian Rastaghi, Ehsan Kamalloo, Davood Rafiei:
Probing the Robustness of Pre-trained Language Models for Entity Matching. 3786-3790 - Irfan Al-Hussaini
, Cassie S. Mitchell
:
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features. 3791-3795 - Pegah Alizadeh, Aomar Osmani, Sammy Taleb:
Improving Imitation Learning by Merging Experts Trajectories. 3796-3800 - Sophia Althammer, Sebastian Hofstätter, Suzan Verberne
, Allan Hanbury:
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. 3801-3805 - Vito Walter Anelli, Giovanni Maria Biancofiore
, Alessandro De Bellis, Tommaso Di Noia, Eugenio Di Sciascio:
Interpretability of BERT Latent Space through Knowledge Graphs. 3806-3810 - Negar Arabzadeh, Mahsa Seifikar, Charles L. A. Clarke:
Unsupervised Question Clarity Prediction through Retrieved Item Coherency. 3811-3816 - Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary
:
IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid. 3817-3821 - Elias Bassani, Pranav Kasela, Alessandro Raganato, Gabriella Pasi:
A Multi-Domain Benchmark for Personalized Search Evaluation. 3822-3827 - Ali Behrouz, Farnoosh Hashemi:
CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks. 3828-3832 - Tanya Boone-Sifuentes, Mohamed Reda Bouadjenek
, Imran Razzak
, Hakim Hacid, Asef Nazari:
A Mask-based Output Layer for Multi-level Hierarchical Classification. 3833-3837 - Tanya Boone-Sifuentes, Asef Nazari, Imran Razzak
, Mohamed Reda Bouadjenek
, Antonio Robles-Kelly, Daniel Ierodiaconou, Elizabeth S. Oh
:
Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification. 3838-3842 - Derun Cai, Moxian Song, Chenxi Sun
, Baofeng Zhang, Shenda Hong, Hongyan Li:
Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. 3843-3847 - Shubham Chatterjee, Laura Dietz:
Predicting Guiding Entities for Entity Aspect Linking. 3848-3852 - Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo:
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments. 3853-3857 - Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Discriminative Language Model via Self-Teaching for Dense Retrieval. 3858-3862 - Mingzhi Chen, Quanlong Guan, Yizhou He, Zhenyu He, Liangda Fang, Weiqi Luo:
Knowledge Tracing Model with Learning and Forgetting Behavior. 3863-3867 - Wei Chen, Songqiao Han, Hailiang Huang:
An Empirical Cross Domain-Specific Entity Recognition with Domain Vector. 3868-3872 - Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng:
Trusted Media Challenge Dataset and User Study. 3873-3877 - Xiusi Chen, Jyun-Yu Jiang, Wei Wang:
Scalable Graph Representation Learning via Locality-Sensitive Hashing. 3878-3882 - Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo:
CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. 3883-3887 - Yuan Cheng
:
Dynamic Explicit Embedding Representation for Numerical Features in Deep CTR Prediction. 3888-3892 - Luca Colomba, Alessandro Farasin, Simone Monaco
, Salvatore Greco
, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. 3893-3897 - Hejie Cui
, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. 3898-3902 - Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang:
LCD: Adaptive Label Correction for Denoising Music Recommendation. 3903-3907 - Arman Dashti, Saeed Samet, Hossein Fani:
Effective Neural Team Formation via Negative Samples. 3908-3912 - Arman Dashti, Karan Saxena, Dhwani Patel, Hossein Fani:
OpeNTF: A Benchmark Library for Neural Team Formation. 3913-3917 - Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo:
GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. 3918-3922 - Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo:
MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. 3923-3927 - Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu:
Semi-Supervised Learning with Data Augmentation for Tabular Data. 3928-3932 - Aosong Feng, Leandros Tassiulas:
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting. 3933-3937 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Subspace Co-clustering with Two-Way Graph Convolution. 3938-3942 - Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
On the Mining of Time Series Data Counterfactual Explanations using Barycenters. 3943-3947 - Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Image Database of Malicious Software. 3948-3952 - Chongming Gao, Shijun Li
, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. 3953-3957 - Yingqi Gao, Zhiling Luo, Shiqian Chen, Wei Zhou:
End-to-end Multi-task Learning Framework for Spatio-Temporal Grounding in Video Corpus. 3958-3962 - Zhabiz Gharibshah, Xingquan Zhu:
Local Contrastive Feature Learning for Tabular Data. 3963-3967 - Ege Berkay Gulcan, Isin Su Ecevit, Fazli Can:
Binary Transformation Method for Multi-Label Stream Classification. 3968-3972 - Aibo Guo
, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao:
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. 3973-3977 - Siyuan Guo, Tianying Liu, Wengen Li, Jihong Guan, Shuigeng Zhou:
Fusing Geometric and Scene Information for Cross-View Geo-Localization. 3978-3982 - Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He:
Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. 3983-3987 - Salim Hafid, Sebastian Schellhammer, Sandra Bringay, Konstantin Todorov, Stefan Dietze:
SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. 3988-3992 - Hui Han, Tianyu Zhao, Cheng Yang
, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi:
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. 3993-3997 - Sangwoo Han, Eunseong Choi, Chan Lim, Hyunjung Shim, Jongwuk Lee:
Long-tail Mixup for Extreme Multi-label Classification. 3998-4002 - Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations. 4003-4008 - Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. 4009-4013 - Ming He, Xin Chen, Xinlei Hu, Changshu Li:
Causal Intervention for Sentiment De-biasing in Recommendation. 4014-4018 - Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley
:
Query-Aware Sequential Recommendation. 4019-4023 - Stella Ho
, Ming Liu, Lan Du
, Yunfeng Li, Longxiang Gao, Shang Gao:
Semi-supervised Continual Learning with Meta Self-training. 4024-4028 - Jingwen Hou, Xiaochen Wang, Jean-Jacques Dubois, R. Byron Rice, Amanda Haddock
, Yue Wang
:
Extreme Systematic Reviews: A Large Literature Screening Dataset to Support Environmental Policymaking. 4029-4033 - Yu Hou, Cong Tran, Won-Yong Shin:
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. 4034-4038 - Zepeng Huai
, Zhe Wang, Yifan Zhu
, Peng Zhang:
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query. 4039-4043 - Huiling Huang, Jianliang Gao, Cong Xu, Xiaoting Ying:
Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market. 4044-4048 - Jianqiang Huang, Xingyuan Tang, Zhe Wang, Shaolin Jia, Yin Bai, Zhiwei Liu, Jia Cheng, Jun Lei, Yan Zhang:
Deep Presentation Bias Integrated Framework for CTR Prediction. 4049-4053 - Tiancheng Huang, Ke Xu
, Donglin Wang:
GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks. 4054-4058 - Tiancheng Huang, Feng Zhao
, Donglin Wang:
LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs. 4059-4063 - Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia:
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. 4064-4068 - Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, Steffen Staab:
NILK: Entity Linking Dataset Targeting NIL-linking Cases. 4069-4073 - Myung-Hwan Jang, Yun-Yong Ko
, Dongkyu Jeong
, Jeong-Min Park, Sang-Wook Kim:
RealGraphGPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis. 4074-4078 - Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang:
Intra-session Context-aware Feed Recommendation in Live Systems. 4079-4083 - Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu
, Bang Liu, Siheng Li, Yujiu Yang
, Yefeng Zheng:
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. 4084-4088 - Seungwan Jin, Hoyoung Choi, Kyungsik Han
:
AI-Augmented Art Psychotherapy through a Hierarchical Co-Attention Mechanism. 4089-4093 - Zhiwen Jing, Ziliang Zhao, Yang Feng, Xiaochen Ma, Nan Wu, Shengqiao Kang, Cheng Yang, Yujia Zhang, Hao Guo:
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform. 4094-4098 - Hideaki Joko, Faegheh Hasibi:
Personal Entity, Concept, and Named Entity Linking in Conversations. 4099-4103 - Jinhao Ju, Deqing Yang, Jingping Liu:
Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model. 4104-4108 - Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji:
Convolutional Transformer Networks for Epileptic Seizure Detection. 4109-4113 - Tanya Khanna, Abhinav Ganesan, Jose Mathew, Kranthi Mitra Adusimilli:
Mining Entry Gates for Points of Interest. 4114-4117 - Dongkwan Kim, Jiho Jin, Jaimeen Ahn, Alice Oh:
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs. 4118-4122 - Jun Seon Kim, Seong-Jin Ahn, Myoung Ho Kim:
Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion. 4123-4127 - Minseok Kim, Jinoh Oh, Jaeyoung Do, Sungjin Lee:
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems. 4128-4132 - Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park:
Context-aware Traffic Flow Forecasting in New Roads. 4133-4137 - Taeho Kim, Yungi Kim, Yeon-Chang Lee
, Won-Yong Shin, Sang-Wook Kim:
Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. 4138-4142 - Wonjun Ko, Heung-Il Suk:
EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation. 4143-4147 - Gaurav Kumar, Durga Toshniwal:
Neuron Specific Pruning for Communication Efficient Federated Learning. 4148-4152 - ByeongTak Lee, Yong-Yeon Jo, Seon-Yu Lim, Youngjae Song, Joon-Myoung Kwon:
Efficient Data Augmentation Policy for Electrocardiograms. 4153-4157 - Yu-Ting Lee, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li, Hen-Hsen Huang:
A Multi-grained Dataset for News Event Triggered Knowledge Update. 4158-4162 - Hai Li, Xin Dong, Lei Cheng, Linjian Mo:
A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. 4163-4167 - Hao Li, Jie Shao, Kewen Liao
, Mingjian Tang:
Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting? 4168-4172 - Lin Li, Renbo Li, Yuquan Peng, Chuanming Huang, Jingling Yuan:
Cooperative Max-Pressure Enhanced Traffic Signal Control. 4173-4177 - Nian Li, Chen Gao, Jinghua Piao, Xin Huang, Aizhen Yue, Liang Zhou, Qingmin Liao, Yong Li:
An Exploratory Study of Information Cocoon on Short-form Video Platform. 4178-4182 - Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong:
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. 4183-4187 - Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li:
Dual-Augment Graph Neural Network for Fraud Detection. 4188-4192 - Quanzhi Li, Yingchi Liu, Yang Chao:
CNewsTS - A Large-scale Chinese News Dataset with Hierarchical Topic Category and Summary. 4193-4198 - Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. 4199-4203 - Yangmin Li, Xinhang Yuan, Wengen Li:
An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection. 4204-4208 - Yongkang Li
, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin
, Jinliang Deng, Xuan Song:
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. 4209-4213 - Huizhi Liang, Zehao Liu
, Thanet Markchom
:
Relation-aware Blocking for Scalable Recommendation Systems. 4214-4218 - Zukang Liao, Michael Cheung:
Invariance Testing and Feature Selection Using Sparse Linear Layers. 4219-4223 - Susana Lima, Ricardo Morla
, João Routar:
JavaScript&Me, A Tool to Support Research into Code Transformation and Browser Security. 4224-4228 - Boheng Liu
, Tianrui Zhang, Ligang Miao:
Knowledge Distillation via Hypersphere Features Distribution Transfer. 4229-4233 - Hengyu Liu
, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. 4234-4238 - Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng:
Efficient Non-sampling Expert Finding. 4239-4243 - Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng:
ExpertBert: Pretraining Expert Finding. 4244-4248 - Meng Liu
, Jiaming Wu, Yong Liu:
Embedding Global and Local Influences for Dynamic Graphs. 4249-4253 - Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen:
Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. 4254-4258 - Sijie Long, Lin Li, Jingling Yuan, Jianquan Liu:
MomNet: Gender Prediction using Mechanism of Working Memory. 4259-4263 - Yican Lou, Jia Wu, Yunchuan Ran:
Meta-Reinforcement Learning for Multiple Traffic Signals Control. 4264-4268 - Paul Louis, Shweta Ann Jacob, Amirali Salehi-Abari:
Sampling Enclosing Subgraphs for Link Prediction. 4269-4273 - Haiping Lu, Xianyuan Liu
, Shuo Zhou
, Robert Turner, Peizhen Bai
, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu:
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. 4274-4278 - Yihang Lu
, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li:
Scalable Multiple Kernel k-means Clustering. 4279-4283 - Yihang Lu
, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li:
Self-Paced and Discrete Multiple Kernel k-Means. 4284-4288 - Sichun Luo
, Yuanzhang Xiao, Linqi Song
:
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. 4289-4293 - Yan Luo, Fu-Lai Chung, Kai Chen:
Urban Region Profiling via Multi-Graph Representation Learning. 4294-4298 - Shiwei Lyu, Hongbo Cai, Chaohe Zhang, Shuai Ling, Yue Shen, Xiaodong Zeng, Jinjie Gu, Guannan Zhang, Haipeng Zhang
:
See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. 4299-4303 - Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao:
A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. 4304-4308 - Jiachen Ma
, Yong Liu, Meng Liu
, Meng Han:
Curriculum Contrastive Learning for Fake News Detection. 4309-4313 - Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. 4314-4318 - Ananth Mahadevan
, Arpit Merchant
, Yanhao Wang
, Michael Mathioudakis
:
Robustness of Sketched Linear Classifiers to Adversarial Attacks. 4319-4323 - Sameen Mansha, Abdur Rehman, Shaaf Abdullah, Faisal Kamiran, Hongzhi Yin
:
Locality Aware Temporal FMs for Crime Prediction. 4324-4328 - Behrooz Mansouri
, Douglas W. Oard
, Richard Zanibbi:
Contextualized Formula Search Using Math Abstract Meaning Representation. 4329-4333 - Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. 4334-4338 - Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl:
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. 4339-4343 - Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli:
Towards Confidence-aware Calibrated Recommendation. 4344-4348 - Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi:
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. 4349-4353 - Charini Nanayakkara, Peter Christen:
Locality Sensitive Hashing with Temporal and Spatial Constraints for Efficient Population Record Linkage. 4354-4358 - Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. 4359-4363 - Sejoon Oh
, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. 4364-4368 - Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang:
Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. 4369-4373 - Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. 4374-4378 - Seongsik Park, Dongkeun Yoon, Harksoo Kim
:
Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure. 4379-4383 - Luca Podo, Paola Velardi:
Plotly.plus, an Improved Dataset for Visualization Recommendation. 4384-4388 - Mario Alfonso Prado-Romero
, Giovanni Stilo:
GRETEL: Graph Counterfactual Explanation Evaluation Framework. 4389-4393 - Eliana Providel, Daniel Toro, Fabián Riquelme, Marcelo Mendoza
, Eduardo Puraivan
:
CLNews: The First Dataset of the Chilean Social Outbreak for Disinformation Analysis. 4394-4398 - Erasmo Purificato
, Ludovico Boratto, Ernesto William De Luca:
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling. 4399-4403 - Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu:
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. 4404-4408 - Can Qin, Yizhou Wang, Yun Fu:
Robust Semi-supervised Domain Adaptation against Noisy Labels. 4409-4413 - Zidi Qin, Yang Liu, Qing He, Xiang Ao:
Explainable Graph-based Fraud Detection via Neural Meta-graph Search. 4414-4418 - Lin Qiu, Nils Murrugarra-Llerena
, Vítor Silva, Lin Lin, Vernon M. Chinchilli:
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR. 4419-4423 - Yiming Qiu
, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang:
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. 4424-4428 - Ismail Sabei, Ahmed Mourad, Guido Zuccon
:
SCC - A Test Collection for Search in Chat Conversations. 4429-4433 - Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay:
A Model-Centric Explainer for Graph Neural Network based Node Classification. 4434-4438 - Yuya Sasaki:
Cost-constrained Minimal Steiner Tree Enumeration. 4439-4443 - Ryoma Sato, Makoto Yamada
, Hisashi Kashima:
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. 4444-4448 - Procheta Sen, Sourav Saha, Debasis Ganguly, Manisha Verma, Dwaipayan Roy:
Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. 4449-4453 - Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu:
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. 4454-4458 - Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor
, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon:
A Graph-based Spatiotemporal Model for Energy Markets. 4459-4463 - Dahlia Shehata, Negar Arabzadeh, Charles L. A. Clarke:
Early Stage Sparse Retrieval with Entity Linking. 4464-4469 - Jiasheng Sheng, Zelalem Gero, Joyce C. Ho:
PubMed Author-assigned Keyword Extraction (PubMedAKE) Benchmark. 4470-4474 - Kaijie Shi, Xiaozhi Wang, Jifan Yu, Lei Hou
, Juanzi Li, Jingtong Wu, Dingyu Yong, Jinghui Xiao, Qun Liu:
CStory: A Chinese Large-scale News Storyline Dataset. 4475-4479 - Meihui Shi
, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu:
Multi-task Generative Adversarial Network for Missing Mobility Data Imputation. 4480-4484 - Georgios Sidiropoulos, Svitlana Vakulenko, Evangelos Kanoulas:
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering. 4485-4489 - Indu Solomon, Senthilnath Jayavelu
, Md Meftahul Ferdaus, Uttam Kumar:
Data Oversampling with Structure Preserving Variational Learning. 4490-4494 - Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao:
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models. 4495-4499 - Junho Song, Jiwon Son, Dong-hyuk Seo, Kyungsik Han
, Namhyuk Kim, Sang-Wook Kim:
ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction. 4500-4504 - Mingyang Song
, Yi Feng, Liping Jing:
A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space. 4505-4509 - Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun:
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. 4510-4514 - Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang:
Targeted Influence with Community and Gender-Aware Seeding. 4515-4519 - Aimin Sun, Zhiguo Gong:
Multi-Aspect Embedding of Dynamic Graphs. 4520-4524 - Chenxi Sun
, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
Confidence-Guided Learning Process for Continuous Classification of Time Series. 4525-4529 - Mingze Sun, Weizhi Ma, Yang Liu:
Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification. 4530-4534 - Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin:
Improving Downstream Task Performance by Treating Numbers as Entities. 4535-4539 - Kazutoshi Umemoto:
ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders. 4540-4544 - Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra:
Leveraging the Graph Structure of Neural Network Training Dynamics. 4545-4549 - Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models. 4550-4554 - Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu:
Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. 4555-4559 - Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang:
Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. 4560-4564 - Haotian Wu:
MNCM: Multi-level Network Cascades Model for Multi-Task Learning. 4565-4569 - Jiahao Wu
, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang:
Disentangled Contrastive Learning for Social Recommendation. 4570-4574 - Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen:
Nonlinear Causal Discovery in Time Series. 4575-4579 - Wei Wu, Junlin He, Yu Qiao, Guoheng Fu, Li Liu, Jin Yu:
HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints. 4580-4584 - Yanping Wu, Renjie Sun, Chen Chen
, Xiaoyang Wang
, Xianming Fu:
Efficiently Answering Minimum Reachable Label Set Queries in Edge-Labeled Graphs. 4585-4589 - Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang:
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning. 4590-4594 - Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin:
Multi-granularity Fatigue in Recommendation. 4595-4599 - Wanyang Xu, Wengen Li, Jihong Guan, Shuigeng Zhou:
BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition. 4600-4604 - Xianghong Xu
, Kai Ouyang, Liuyin Wang, Jiaxin Zou, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim:
Modeling Latent Autocorrelation for Session-based Recommendation. 4605-4609 - Zelai Xu, Tan Yu, Ping Li:
Texture BERT for Cross-modal Texture Image Retrieval. 4610-4614 - Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu
, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. 4615-4619 - Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang:
Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. 4620-4624 - Cheng Yang, Zhongwei Zhang, Jie Ding, Wenjun Zheng, Zhiwen Jing, Ying Li:
A Multi-granularity Network for Emotion-Cause Pair Extraction via Matrix Capsule. 4625-4629 - Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo:
Task Similarity Aware Meta Learning for Cold-Start Recommendation. 4630-4634 - Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. 4635-4639 - Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao:
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. 4640-4644 - An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Unanswerable Question Correction and Explanation over Personal Knowledge Base. 4645-4649 - Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li:
MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. 4650-4654 - Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li:
Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. 4655-4660 - Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst
, Christin Seifert, Matthias Hagen, Michael Granitzer:
The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. 4661-4666 - Hang Zhang, Hao Wang, Guifeng Wang, Jiayu Liu, Qi Liu:
A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation. 4667-4671 - Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner:
Binary Classification with Positive Labeling Sources. 4672-4676 - Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui
:
An Enhanced Gated Graph Neural Network for E-commerce Recommendation. 4677-4681 - Jijie Zhang, Yan Yang, Yong Liu, Meng Han, Shaowei Yin:
Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast. 4682-4686 - Lirong Zhang, Hideo Joho, Sumio Fujita, Haitao Yu:
Selectively Expanding Queries and Documents for News Background Linking. 4687-4691 - Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang:
Deep Contrastive Multiview Network Embedding. 4692-4696 - Shun Zhang, Xiangkui Lu, Jun Wu:
Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction. 4697-4701 - Xuxin Zhang, Di Wang, Dehong Gao, Wen Jiang, Wei Ning, Yang Zhou, Chen Wang
:
Revisiting Cold-Start Problem in CTR Prediction: Augmenting Embedding via GAN. 4702-4706 - Zeyu Zhang, Thuy Vu, Sunil Gandhi, Ankit Chadha, Alessandro Moschitti:
WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection. 4707-4711 - Zhenning Zhang, Boxin Du, Hanghang Tong:
SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. 4712-4716 - Feng Zhao
, Ziqi Zhang, Donglin Wang:
KSG: Knowledge and Skill Graph. 4717-4721 - Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang
, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang
, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. 4722-4726 - Yao Zhao
, Haipeng Zhang
, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang:
Multiple Instance Learning for Uplift Modeling. 4727-4731 - Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu:
Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. 4732-4736 - Yihao Zhou, Guoshuai Zhao, Xueming Qian:
Dialogue State Tracking Based on Hierarchical Slot Attention and Contrastive Learning. 4737-4741 - Fanwei Zhu, Wendong Xiao, Yao Yu, Ziyi Wang, Zulong Chen, Quan Lu, Zemin Liu, Minghui Wu, Shenghua Ni:
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing. 4742-4746 - Jing Zhu, Danai Koutra, Mark Heimann:
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. 4747-4751 - Wenqiao Zhu, Yesheng Xu, Xin Huang, Qiyang Min, Xun Zhou:
Spherical Graph Embedding for Item Retrieval in Recommendation System. 4752-4756 - Xinyu Zhu
, Yongliang Shen, Weiming Lu:
Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction. 4757-4761 - Soroush Ziaeinejad, Saeed Samet, Hossein Fani:
SEERa: A Framework for Community Prediction. 4762-4766
CIKM'22 Demonstrations
- Sikder Tahsin Al-Amin, Mohammad Imtiaz Nur, Aisha Farooque, Guoning Chen
, Robin Varghese, Carlos Ordonez:
A Different VIM: Visualizing Incremental Machine Learning. 4783-4787 - Dana Arad, Daniel Deutch, Nave Frost:
LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs. 4788-4792 - Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia:
SoCRATe: A Recommendation System with Limited-Availability Items. 4793-4797 - Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, Antoine Deiana, Emilie Gautreau, Antoine Krempf, Thomas Pontillon, Gérald Roux, Joanna Yakin:
Statistical Claim Checking: StatCheck in Action. 4798-4802 - Nelly Barret, Ioana Manolescu, Prajna Upadhyay:
Abstra: Toward Generic Abstractions for Data of Any Model. 4803-4807 - Elias Bassani, Luca Romelli:
ranx.fuse: A Python Library for Metasearch. 4808-4812 - Sebastian Baunsgaard, Matthias Boehm, Kevin Innerebner, Mito Kehayov, Florian Lackner, Olga Ovcharenko, Arnab Phani, Tobias Rieger, David Weissteiner, Sebastian Benjamin Wrede:
Federated Data Preparation, Learning, and Debugging in Apache SystemDS. 4813-4817 - Amit Bergman, Viviane Slon, Daniel Deutch:
exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data. 4818-4822 - Wellington Cabrera, Xiantian Zhou, Ladjel Bellatreche, Carlos Ordonez:
GALGO: Scalable Graph Analytics with a Parallel DBMS. 4823-4827 - Ranran Chen, Feng Li, Drew Bieger, Fengguang Song, Yao Liang, Daniel Luna, Ryan Young, Xu Liang, Sudhakar Pamidighantam
:
CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering. 4833-4837 - Shaowei Chen, Haoran Wang, Jie Liu, Jiahui Wu:
DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans. 4838-4842 - Alaa El-Ebshihy, Annisa Maulida Ningtyas, Linda Andersson, Florina Piroi, Andreas Rauber:
A Platform for Argumentative Zoning Annotation and Scientific Summarization. 4843-4847 - Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. 4848-4852 - Jianling Gao, Nan Zhao, Ning Wang, Shuang Hao
:
SmartIndex: An Index Advisor with Learned Cost Estimator. 4853-4856 - Michael N. Gubanov, Sophie Pavia, Anna Pyayt
, William Goble:
Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. 4857-4861 - Siqi Han, Wanting Li, En Zhang, Jilin Shi, Wei Wang, Xuesong Lu:
MLadder: An Online Training System for Machine Learning and Data Science Education. 4862-4866 - Lin Hu, Lei Zou:
A GPU-based Graph Pattern Mining System. 4867-4871 - Liangyi Huang, Sophia Hall, Fei Shao, Arafath Nihar, Vipin Chaudhary, Yinghui Wu, Roger H. French
, Xusheng Xiao:
System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems. 4872-4876 - Yuhang Jia, Huiqi Hu, Xuan Zhou, Weining Qian:
Hockey: A Hybrid PMem-SSD Storage Engine for Analytical Database. 4877-4881 - Linge Jiang, Guiyang Wang, Zhibo Zhu, Binghao Wang, Runsheng Gan, Ziqi Liu, Jun Zhou:
A Real-time Post-processing System for Itinerary Recommendation. 4882-4886 - Maya Kapoor, Joshua Melton, Michael Ridenhour, Thomas Moyer, Siddharth Krishnan:
Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning. 4887-4891 - Pavel Koupil
, Jáchym Bártík
, Irena Holubová:
MM-evocat: A Tool for Modelling and Evolution Management of Multi-Model Data. 4892-4896 - Ádám Kovács
, Kinga Gémes, Eszter Iklódi
, Gábor Recski:
POTATO: exPlainable infOrmation exTrAcTion framewOrk. 4897-4901 - Aritra Kumar Lahiri, Qinmin Vivian Hu:
Named Entity-based Question-Answering Pair Generator. 4902-4906 - Teddy Lazebnik, Amit Somech:
Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. 4907-4911 - Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau:
Visual Exploration of Literature with Argo Scholar. 4912-4916 - Mingda Li, Jin Wang, Guorui Xiao, Youfu Li, Carlo Zaniolo:
Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System. 4917-4920 - Yafei Li, Lei Gao, Haobo Sun, Huiling Li
, Qingshun Wu
:
PRID: An Efficient Pub/Sub Ride Hitching System. 4921-4925 - Jinshu Liu, Yunlong Xu
, Fatemeh Nargesian, Gourab Ghoshal:
TSUPY: Dynamic Climate Network Analysis Library. 4926-4930 - Hitarth Narvala
, Graham McDonald, Iadh Ounis:
Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. 4931-4935 - Hoang Nguyen, Radin Hamidi Rad
, Ebrahim Bagheri:
PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation. 4936-4940 - Thi Huyen Nguyen, Miroslav Shaltev, Koustav Rudra:
CrisICSum: Interpretable Classification and Summarization Platform for Crisis Events from Microblogs. 4941-4945 - Alexander Paulus, Andreas Burgdorf, Tristan Langer, André Pomp, Tobias Meisen
, Sebastian Pol:
PLASMA: A Semantic Modeling Tool for Domain Experts. 4946-4950 - Periklis Perikleous
, Andreas Kafkalias, Zenonas Theodosiou, Pinar Barlas, Evgenia Christoforou, Jahna Otterbacher, Gianluca Demartini
, Andreas Lanitis:
How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data. 4951-4954 - Sayantan Polley, Subhajit Mondal, Venkata Srinath Mannam
, Kushagra Kumar, Subhankar Patra, Andreas Nürnberger:
X-Vision: Explainable Image Retrieval by Re-Ranking in Semantic Space. 4955-4959 - Ying Rong, Hui Li, Kankan Zhao
, Xiyue Gao, Jiangtao Cui:
DBinsight: A Tool for Interactively Understanding the Query Processing Pipeline in RDBMSs. 4960-4964 - Kassem Sabeh, Mouna Kacimi, Johann Gamper:
CAVE: Correcting Attribute Values in E-commerce Profiles. 4965-4969 - Ryoma Sato:
CLEAR: A Fully User-side Image Search System. 4970-4974 - Leixian Shen, Enya Shen, Zhiwei Tai, Yun Wang, Yuyu Luo, Jianmin Wang
:
GALVIS: Visualization Construction through Example-Powered Declarative Programming. 4975-4979 - Honghao Shi, Qijian Tian
, Jingyuan Wang, Jiawei Cheng:
LibEpidemic: An Open-source Framework for Modeling Infectious Disease with Bigdata. 4980-4984 - Tomasz Szydlo
, Prem Prakash Jayaraman
, Yinhao Li, Graham Morgan, Rajiv Ranjan:
TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. 4985-4988 - Sotirios Tzamaras, Radu Ciucanu, Marta Soare, Sihem Amer-Yahia:
FeReD: Federated Reinforcement Learning in the DBMS. 4989-4993 - Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang
, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xuanting Cai, Xia Ben Hu:
BED: A Real-Time Object Detection System for Edge Devices. 4994-4998 - Mengru Wang, Omar Alonso:
ClozeSearch: A Collocation Retrieval Application to Assist in Scientific Writing. 5009-5013 - Mengying Wang
, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu:
CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. 5014-5018 - Sheng-Fu Wang, Shu-Hang Liu, Tian-Yi Che, Yi-Fan Lu, Song-Xiao Yang, Heyan Huang, Xian-Ling Mao:
Hammer PDF: An Intelligent PDF Reader for Scientific Papers. 5019-5023 - Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He:
A System for Time Series Feature Extraction in Federated Learning. 5024-5028 - Yifan Wang, Daisy Zhe Wang:
Extensible Database Simulator for Fast Prototyping In-Database Algorithms. 5029-5033 - Yuxiang Wang, Arijit Khan
, Xiaoliang Xu, Shuzhan Ye, Shihuang Pan, Yuhan Zhou:
Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration. 5034-5038 - Yingting Wu, Bingzhu Du, Yongliang Wang, Zihao Wang, Minghui Yang, Yuchi Zhang, Hai Zhao:
FinBot: A Memory-Augmented Intelligent Financial Assistant. 5039-5043 - Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao:
An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. 5044-5048 - Min Xie, Yang Liu:
Favorite+: Favorite Tuples Extraction via Regret Minimization. 5049-5053 - Linglin Yang, Lei Yang, Yue Pang
, Lei Zou:
gCBO: A Cost-based Optimizer for Graph Databases. 5054-5058 - Kaiping Zheng, Thao Nguyen, Changshuo Liu, Charlene Enhui Goh, Beng Chin Ooi:
eDental: Managing Your Dental Care in Diet Diaries. 5059-5063 - Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov:
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. 5064-5068 - Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul:
Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. 5069-5073 - Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov:
ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. 5074-5078
CIKM'22 Industry Day Talks
- Andrea Alfieri, Ralf Wolter, Seyyed Hadi Hashemi:
Intent Disambiguation for Task-oriented Dialogue Systems. 5079-5080 - Lei Chen, Tianqi Wang:
Utilizing Contrastive Learning To Address Long Tail Issue in Product Categorization. 5081-5082 - Jacek Dabrowski, Barbara Rychalska:
Synerise Monad - Real-Time Multimodal Behavioral Modeling. 5083-5084 - Giuseppe Di Fabbrizio:
From Product Searches to Conversational Agents for E-Commerce. 5085 - Giancarlo Fissore, Nikolaos Vasiloglou:
Simulating Complex Problems Inside a Database. 5086-5087 - Ilya Katsov:
Building Next Best Action Engines for B2C and B2B Use Cases. 5088-5089 - Lizzie Liang, Sneha Kamath, Petar Ristoski, Qunzhi Zhou, Zhe Wu:
Fifty Shades of Pink: Understanding Color in e-commerce using Knowledge Graphs. 5090-5091 - Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed:
Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare. 5092-5093 - Petar Ristoski, Aritra Mandal, Simon Becker, Anu Mandalam, Ethan Hart, Sanjika Hewavitharana, Zhe Wu, Qunzhi Zhou:
Shoe Size Resolution in Search Queries and Product Listings using Knowledge Graphs. 5094-5095 - Ravindra Babu Tallamraju:
Geographical Address Models in the Indian e-Commerce. 5096-5097 - Mi Tian, Claudia Hauff, Praveen Chandar:
On the Challenges of Podcast Search at Spotify. 5098-5099 - Chengyu Wang, Minghui Qiu, Jun Huang:
Building Natural Language Processing Applications with EasyNLP. 5100-5101 - Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov:
Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. 5102-5103
CIKM'22 PhD Symposium
- Usman Ahmed:
Sequence-Driven Analytics and Prediction. 5104-5107 - Mousumi Akter:
Rank-Aware Gain-Based Evaluation of Extractive Summarization. 5108-5111 - Ren Fujiwara:
C-Cast: A Real-Time Forecasting Model for a Controlled Sequence. 5112-5115 - Hao Huang:
Causal Relationship over Knowledge Graphs. 5116-5119 - Ngozi Ihemelandu:
Best Practices for Top-N Recommendation Evaluation: Candidate Set Sampling and Statistical Inference Techniques. 5120-5123 - Pooja Oza:
Identify Relevant Entities Through Text Understanding. 5124-5127 - Wei-Yao Wang
:
Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches. 5128-5131
CIKM'22 Tutorials
- Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin:
Fairness of Machine Learning in Search Engines. 5132-5135 - Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin:
Self-Supervised Learning for Recommendation. 5136-5139 - Arijit Khan
, Cuneyt Gurcan Akcora:
Graph-based Management and Mining of Blockchain Data. 5140-5143 - Geon Lee, Jaemin Yoo
, Kijung Shin:
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators. 5144-5147 - Shubhanshu Mishra, Rezvaneh Rezapour, Jana Diesner:
Information Extraction from Social Media: A Hands-on Tutorial on Tasks, Data, and Open Source Tools. 5148-5151 - Masashi Sugiyama, Tongliang Liu
, Bo Han, Yang Liu, Gang Niu:
Learning and Mining with Noisy Labels. 5152-5155 - Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin
:
Tutorial on Deep Learning Interpretation: A Data Perspective. 5156-5159
CIKM'22 Workshops
- Adrien Bibal
, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas
:
AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. 5160 - Gianluca Demartini, Jie Yang
, Shazia W. Sadiq
:
Workshop on Human-in-the-loop Data Curation. 5161-5162 - Georgios Drakopoulos, Eleanna Kafeza:
THECOG 2022 - Transforms In Behavioral And Affective Computing (Revisited). 5163-5164 - Gareth J. F. Jones, Procheta Sen, Debasis Ganguly, Emine Yilmaz:
Workshop on Proactive and Agent-Supported Information Retrieval (PASIR). 5167-5168 - Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei
, Dawei Zhou:
TrustLOG: The First Workshop on Trustworthy Learning on Graphs. 5169-5170 - Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao
, Yuxi Zhang:
Deep Learning for Search and Recommendation. 5171-5172 - Ida Mele, Cristina Ioana Muntean, Mohammad Aliannejadi, Nikos Voskarides:
The 2nd Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS). 5173-5174 - Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen Guo, Raghav Chalapathy, Musen Wen:
Applied Machine Learning Methods for Time Series Forecasting. 5175-5176 - Hua Wei, Guni Sheron, Cathy Wu, Sanjay Chawla, Zhenhui Li:
The Third Workshop on Data-driven Intelligent Transportation. 5177-5178 - Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun
, Salman Avestimehr:
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). 5179-5180 - Philip S. Yu, Olivera Kotevska, Tyler Derr
:
PAS: Privacy Algorithms in Systems. 5181-5182
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