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ORCID31st 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