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30th CIKM 2021: Virtual Event, Queensland, Australia
- Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong:
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM 2021, ISBN 978-1-4503-8446-9
Keynote Talks
- Leman Akoglu:
Anomaly Mining: Past, Present and Future. 1-2 - Mark Johnson:
The Primacy of Data in Deep Learning NLP for Conversational AI. 3 - Himabindu Lakkaraju:
Towards Reliable and Practicable Algorithmic Recourse. 4
Full Paper Track
- Qingyao Ai, Lakshmi Narayanan Ramasamy:
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search. 5-15 - Mohammad Aliannejadi
, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas
, Paul Thomas
, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. 16-26 - Yael Amsterdamer
, Moran Cohen:
Automated Selection of Multiple Datasets for Extension by Integration. 27-36 - Aris Anagnostopoulos
, Adriano Fazzone
, Giacomo Vettraino:
Skyline in Crowdsourcing with Imprecise Comparisons. 37-46 - Héber Hwang Arcolezi
, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao:
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. 47-57 - Ali Selman Aydin, Yu-Jung Ko, Utku Uckun, I. V. Ramakrishnan, Vikas Ashok
:
Non-Visual Accessibility Assessment of Videos. 58-67 - Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
:
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. 68-77 - Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
:
Representation Learning via Variational Bayesian Networks. 78-88 - Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang', Johannes Hoffart:
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations. 89-99 - Ruben Becker
, Gianlorenzo D'Angelo
, Hugo Gilbert:
Influence Maximization With Co-Existing Seeds. 100-109 - Hamed R. Bonab, Mohammad Aliannejadi
, Ali Vardasbi
, Evangelos Kanoulas
, James Allan:
Cross-Market Product Recommendation. 110-119 - Ryma Boumazouza, Fahima Cheikh Alili
, Bertrand Mazure, Karim Tabia:
ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations. 120-129 - Kai Burkholder, Kenny Kwock, Yuesheng Xu, Jiaxin Liu, Chao Chen, Sihong Xie:
Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection. 130-139 - Surajit Chakrabarty, Rukma Talwadker, Tridib Mukherjee:
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior. 140-150 - Siddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala:
Geometric Heuristics for Transfer Learning in Decision Trees. 151-160 - Cong Chen, Chaofan Tao, Ngai Wong:
LiteGT: Efficient and Lightweight Graph Transformers. 161-170 - Jia Chen
, Yiqun Liu, Jiaxin Mao, Fan Zhang
, Tetsuya Sakai, Weizhi Ma, Min Zhang, Shaoping Ma:
Incorporating Query Reformulating Behavior into Web Search Evaluation. 171-180 - Jiangui Chen
, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. 181-190 - Jiayi Chen, Aidong Zhang:
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. 191-200 - Xiaocong Chen
, Lina Yao, Aixin Sun
, Xianzhi Wang
, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. 201-210 - Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao
, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison:
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. 211-220 - Zekai Chen
, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng:
DCAP: Deep Cross Attentional Product Network for User Response Prediction. 221-230 - Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang
, Jianyong Wang:
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. 231-240 - Lizhi Cheng
, Weijia Jia, Wenmian Yang:
An Effective Non-Autoregressive Model for Spoken Language Understanding. 241-250 - Jeongwhan Choi
, Jinsung Jeon, Noseong Park:
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. 251-260 - Zhumin Chu, Jiaxin Mao, Fan Zhang
, Yiqun Liu, Tetsuya Sakai, Min Zhang, Shaoping Ma:
Evaluating Relevance Judgments with Pairwise Discriminative Power. 261-270 - Gianluca Cima, Federico Croce
, Maurizio Lenzerini:
Query Definability and Its Approximations in Ontology-based Data Management. 271-280 - Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam:
Answering POI-recommendation Questions using Tourism Reviews. 281-291 - Yue Cui
, Chen Zhu, Guanyu Ye, Ziwei Wang, Kai Zheng:
Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction. 292-301 - Enyan Dai, Suhang Wang
:
Towards Self-Explainable Graph Neural Network. 302-311 - Qiangqiang Dai, Rong-Hua Li, Lu Qin
, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan:
Scaling Up Distance-generalized Core Decomposition. 312-321 - Xin Dai, Xiangnan Kong, Tian Guo
, Xinlu He:
FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. 322-331 - Gianlorenzo D'Angelo
, Mohammad Abouei Mehrizi:
Mitigating Negative Influence Diffusion is Hard. 332-341 - Songgaojun Deng, Huzefa Rangwala, Yue Ning:
Understanding Event Predictions via Contextualized Multilevel Feature Learning. 342-351 - Tyler Derr
, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. 352-361 - Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer:
Explanations for Data Repair Through Shapley Values. 362-371 - Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He:
A Deep Learning Framework for Self-evolving Hierarchical Community Detection. 372-381 - Yue Ding, Yuxiang Shi, Bo Chen
, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang:
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. 382-391 - Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. 392-401 - Yuntao Du, Jindong Wang
, Wenjie Feng
, Sinno Jialin Pan, Tao Qin
, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. 402-411 - Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu:
Query-Variant Advertisement Text Generation with Association Knowledge. 412-421 - Lorik Dumani, Tobias Wiesenfeldt, Ralf Schenkel:
Fine and Coarse Granular Argument Classification before Clustering. 422-432 - Ziwei Fan
, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. 433-442 - Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang:
Large-scale Secure XGB for Vertical Federated Learning. 443-452 - Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han:
HyperGraph Convolution Based Attributed HyperGraph Clustering. 453-463 - Cheng Feng
, Chaoliang Zhong
, Jie Wang
, Jun Sun
, Yasuto Yokota:
CANN: Coupled Approximation Neural Network for Partial Domain Adaptation. 464-473 - Philip J. Feng, Pingjun Pan, Tingting Zhou, Hongxiang Chen, Chuanjiang Luo:
Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems. 474-483 - Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. 484-493 - Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang:
Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. 494-503 - Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda:
Fast and Accurate Anchor Graph-based Label Prediction. 504-513 - Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong
, Lothar Thiele:
Pruning Meta-Trained Networks for On-Device Adaptation. 514-523 - Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu:
Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. 524-533 - Zihan Gao, Jiepu Jiang:
Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions. 534-544 - Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur:
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. 545-554 - Zhiqi Ge, Ximing Li:
To Be or not to Be, Tail Labels in Extreme Multi-label Learning. 555-564 - Daniel Glake, Norbert Ritter, Florian Ocker, Nima Ahmady-Moghaddam, Daniel Osterholz, Ulfia Lenfers, Thomas Clemen:
Hierarchical Semantics Matching For Heterogeneous Spatio-temporal Sources. 565-575 - Jiaying Gong, Hoda Eldardiry:
Zero-shot Relation Classification from Side Information. 576-585 - Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Driving the Herd: Search Engines as Content Influencers. 586-595 - Alexander Gorovits, Lin Zhang, Ekta Gujral
, Evangelos E. Papalexakis, Petko Bogdanov:
Mining Bursty Groups from Interaction Data. 596-605 - Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang
, Marzyeh Ghassemi:
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing. 606-616 - Renchu Guan, Yonghao Liu
, Xiaoyue Feng, Ximing Li:
VPALG: Paper-publication Prediction with Graph Neural Networks. 617-626 - Ekta Gujral
, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah:
NED: Niche Detection in User Content Consumption Data. 627-637 - Jiale Han, Bo Cheng, Guoshun Nan:
Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction. 638-648 - Yi Han, Linbo Qiao, Jianming Zheng, Zhigang Kan, Linhui Feng, Yifu Gao, Yu Tang, Qi Zhai, Dongsheng Li, Xiangke Liao:
Multi-view Interaction Learning for Few-Shot Relation Classification. 649-658 - Shonosuke Harada, Hisashi Kashima:
GraphITE: Estimating Individual Effects of Graph-structured Treatments. 659-668 - Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Learning Multiple Intent Representations for Search Queries. 669-679 - Tobias Hatt, Stefan Feuerriegel:
Estimating Average Treatment Effects via Orthogonal Regularization. 680-689 - Li He, Hongxu Chen
, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. 690-699 - Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen
, Tie-Yan Liu:
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. 700-709 - Kaixi Hu
, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao:
What is Next when Sequential Prediction Meets Implicitly Hard Interaction? 710-719 - Zhihui Hu, Guang Kou, Haoyu Zhang, Na Li, Ke Yang, Lin Liu:
Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation Learning. 720-729 - Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong:
Two-tier Graph Contextual Embedding for Cross-device User Matching. 730-739 - Junjie Huang, Huawei Shen, Qi Cao
, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. 740-749 - Shaoyuan Huang, Heng Zhang, Xiaofei Wang, Min Chen, Jianxin Li
, Victor C. M. Leung:
Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era. 750-759 - Zhiqi Huang, Hamed R. Bonab, Sheikh Muhammad Sarwar, Razieh Rahimi, James Allan:
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval. 760-770 - Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt
, Changlong Sun, Conghui Zhu, Tiejun Zhao:
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. 771-781 - Luo Ji, Qi Qin, Bingqing Han, Hongxia Yang:
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation. 782-791 - Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum:
Complex Temporal Question Answering on Knowledge Graphs. 792-802 - Xunqiang Jiang, Yuanfu Lu, Yuan Fang
, Chuan Shi:
Contrastive Pre-Training of GNNs on Heterogeneous Graphs. 803-812 - Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr
, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. 813-822 - Weiyu Ju, Wei Bao, Liming Ge, Dong Yuan:
Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits. 823-832 - Mahsa Keramati, Zahra Zohrevand, Uwe Glässer:
Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain Adaptation. 833-843 - Udayan Khurana, Sainyam Galhotra:
Semantic Concept Annotation for Tabular Data. 844-853 - Bosung Kim, Hyewon Choi, Haeun Yu, Youngjoong Ko:
Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary. 854-862 - Yun-Yong Ko
, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim:
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. 863-872 - Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang:
Fast Extraction of Word Embedding from Q-contexts. 873-882 - Gwanghan Lee, Minha Kim, Minha Kim, Simon S. Woo:
Efficient Multi-Scale Feature Generation Adaptive Network. 883-892 - David D. Lewis, Eugene Yang
, Ophir Frieder:
Certifying One-Phase Technology-Assisted Reviews. 893-902 - Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang:
Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks. 903-912 - Dingwen Li, Patrick G. Lyons
, Jeff Klaus, Brian F. Gage, Marin Kollef, Chenyang Lu:
Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems. 913-936 - Haoyang Li, Lei Chen:
Cache-based GNN System for Dynamic Graphs. 937-946 - Maocheng Li, Jiachuan Wang, Libin Zheng, Han Wu, Peng Cheng
, Lei Chen, Xuemin Lin:
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server. 947-956 - Xing Li, Qiquan Shi, Gang Hu, Lei Chen, Hui Mao, Yiyuan Yang, Mingxuan Yuan, Jia Zeng, Zhuo Cheng:
Block Access Pattern Discovery via Compressed Full Tensor Transformer. 957-966 - Yang Li, Tong Chen
, Peng-Fei Zhang, Hongzhi Yin
:
Lightweight Self-Attentive Sequential Recommendation. 967-977 - Yi Li
, Yan Song, Qin Zhang
:
Learning to Cluster via Same-Cluster Queries. 978-987 - Yicong Li
, Hongxu Chen
, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. 988-997 - Yunzhe Li
, Yue Ding, Bo Chen
, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang:
Extracting Attentive Social Temporal Excitation for Sequential Recommendation. 998-1007 - Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu
, Xinghao Ding, Junzhou Huang
:
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. 1008-1017 - Haowen Lin, Jinlong Li, Xu Zhang, Huanhuan Chen:
Grammatical Error Correction with Dependency Distance. 1018-1027 - Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. 1028-1037 - Zizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, Junpeng Ye:
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. 1038-1047 - Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu:
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. 1048-1057 - Huanyu Liu, Ruifang He, Liangliang Zhao, Haocheng Wang, Ruifang Wang:
SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social Summarization. 1058-1068 - Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
Mining Cross Features for Financial Credit Risk Assessment. 1069-1078 - Yi Liu, Bohan Li, Yalei Zang, Aoran Li, Hongzhi Yin
:
A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network. 1079-1088 - Yiyang Liu, Hua Dai, Bohan Li, Jiawei Li, Geng Yang, Jun Wang:
ECMA: An Efficient Convoy Mining Algorithm for Moving Objects. 1089-1098 - Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li:
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. 1099-1108 - Yue Liu, Xin Wang, Xue Xu, Jianbo Yang, Wenwu Zhu:
Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling. 1109-1118 - Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson:
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. 1119-1129 - Zhao Liu, Chang Lu, Ghadah Alghamdi, Renate A. Schmidt, Yizheng Zhao:
Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge Bases. 1130-1139 - Zhihong Liu, Huiyu Li, Ruixin Li
, Yong Zeng, Jianfeng Ma:
Graph Embedding Based on Euclidean Distance Matrix and its Applications. 1140-1149 - Amit Livne, Roy Dor, Bracha Shapira
, Lior Rokach:
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. 1150-1159 - Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. 1160-1169 - Linhao Luo, Yixiang Fang
, Xin Cao
, Xiaofeng Zhang, Wenjie Zhang
:
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. 1170-1180 - Changsheng Ma
, Xiangliang Zhang
:
GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation. 1181-1190 - Xiaojun Ma, Hanyue Chen, Guojie Song:
LEReg: Empower Graph Neural Networks with Local Energy Regularization. 1191-1201 - Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. 1202-1211 - Zhengyi Ma, Zhicheng Dou
, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen:
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. 1212-1221 - Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay:
Generating Compositional Color Representations from Text. 1222-1231 - Maria Maistro
, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
:
Principled Multi-Aspect Evaluation Measures of Rankings. 1232-1242 - Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. 1243-1252 - Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He:
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. 1253-1262 - Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan:
Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness. 1263-1273 - Naoki Marumo
, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka:
A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion. 1274-1283 - Keith G. Mills
, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. 1284-1293 - Rahul Mishra, Shuo Zhang:
POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence. 1294-1303 - Moran Mizrahi, Dafna Shahaf:
50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts. 1304-1314 - Dingheng Mo, Siqiang Luo
:
Agenda: Robust Personalized PageRanks in Evolving Graphs. 1315-1324 - Corrado Monti, Giuseppe Manco
, Çigdem Aslay
, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. 1325-1334 - Josiane Mothe, Md. Zia Ullah:
Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive Approach. 1335-1345 - Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. 1346-1355 - Preksha Nema, Alexandros Karatzoglou, Filip Radlinski:
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. 1356-1365 - Jingchao Ni, Zhengzhang Chen
, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen:
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. 1366-1375 - Masahiro Nomura, Yuta Saito:
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift. 1376-1385 - Sejoon Oh
, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. 1386-1395 - Liang Pang
, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. 1396-1405 - Prathyush S. Parvatharaju, Ramesh Doddaiah
, Thomas Hartvigsen, Elke A. Rundensteiner:
Learning Saliency Maps to Explain Deep Time Series Classifiers. 1406-1415 - Hao Peng, Haoran Li
, Yangqiu Song, Vincent W. Zheng, Jianxin Li:
Differentially Private Federated Knowledge Graphs Embedding. 1416-1425 - Alexandru Petrescu, Ciprian-Octavian Truica, Elena Simona Apostol, Panagiotis Karras:
Sparse Shield: Social Network Immunization vs. Harmful Speech. 1426-1436 - Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan:
MentalSpot: Effective Early Screening for Depression Based on Social Contagion. 1437-1446 - Paul J. Pritz, Liang Ma, Kin K. Leung:
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning. 1447-1456 - Panpan Qi, Wei Wang, Lei Zhu
, See-Kiong Ng:
Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees. 1457-1466 - Hongjin Qian
, Zhicheng Dou
, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen:
Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. 1467-1477 - Zi-Hao Qiu, Ying-Chun Jian, Qing-Guo Chen, Lijun Zhang:
Learning to Augment Imbalanced Data for Re-ranking Models. 1478-1487 - Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
:
Natural Language Understanding with Privacy-Preserving BERT. 1488-1497 - Jiaming Qu
, Jaime Arguello, Yue Wang
:
A Study of Explainability Features to Scrutinize Faceted Filtering Results. 1498-1507 - Francesco Ranzato, Caterina Urban
, Marco Zanella:
Fairness-Aware Training of Decision Trees by Abstract Interpretation. 1508-1517 - Muhammad Shihab Rashid, Fuad T. Jamour, Vagelis Hristidis:
QuAX: Mining the Web for High-utility FAQ. 1518-1527 - Masoud Reyhani Hamedani, Sang-Wook Kim:
AdaSim: A Recursive Similarity Measure in Graphs. 1528-1537 - Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin:
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. 1538-1547 - Mahdin Rohmatillah
, Jen-Tzung Chien
:
Corrective Guidance and Learning for Dialogue Management. 1548-1557 - Benedek Rozemberczki, Rik Sarkar:
The Shapley Value of Classifiers in Ensemble Games. 1558-1567 - Ilie Sarpe
, Fabio Vandin:
odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks. 1568-1577 - Patrick Schäfer, Arik Ermshaus
, Ulf Leser:
ClaSP - Time Series Segmentation. 1578-1587 - Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia
, Yong Li:
One-shot Transfer Learning for Population Mapping. 1588-1597 - Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu:
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. 1598-1608 - Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. 1609-1618 - Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li
:
How Powerful is Graph Convolution for Recommendation? 1619-1629 - Yuxin Shen, Zhao Li, Xin Wang, Jianxin Li
, Xiaowang Zhang
:
DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space. 1630-1639 - Qiang Sheng
, Xueyao Zhang
, Juan Cao, Lei Zhong:
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning. 1640-1650 - Shaoyun Shi, Weizhi Ma, Zhen Wang, Min Zhang, Kun Fang, Jingfang Xu, Yiqun Liu, Shaoping Ma:
WG4Rec: Modeling Textual Content with Word Graph for News Recommendation. 1651-1660 - Si Shi
, Jianjun Li, Guohui Li, Peng Pan, Ke Liu:
XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management. 1661-1670 - Lin Shu, Erxin Du, Yaomin Chang, Chuan Chen, Zibin Zheng
, Xingxing Xing, Shaofeng Shen:
SGCL: Contrastive Representation Learning for Signed Graphs. 1671-1680 - Yaman Kumar Singla
, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. 1681-1691 - Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking. 1692-1702 - Chengyu Song
, Fei Cai, Jianming Zheng, Wanyu Chen, Zhiqiang Pan:
Metric Sentiment Learning for Label Representation. 1703-1712 - Jiayu Song, Jiajie Xu, Rui Zhou, Lu Chen, Jianxin Li
, Chengfei Liu
:
CBML: A Cluster-based Meta-learning Model for Session-based Recommendation. 1713-1722 - Zixing Song, Ziqiao Meng, Yifei Zhang
, Irwin King
:
Semi-supervised Multi-label Learning for Graph-structured Data. 1723-1733 - Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng:
PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network. 1734-1743 - Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara:
Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. 1744-1753 - Xin Sun, Xin Huang, Zitan Sun, Di Jin:
Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach. 1754-1763 - Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta
, Tanmoy Chakraborty
:
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. 1764-1773 - Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash:
Actionable Insights in Urban Multivariate Time-series. 1774-1783 - Juntao Tan, Shuyuan Xu
, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang:
Counterfactual Explainable Recommendation. 1784-1793 - Shuchang Tao
, Qi Cao
, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. 1794-1803 - Ya-Wen Teng, Hsi-Wen Chen, De-Nian Yang
, Yvonne-Anne Pignolet, Ting-Wei Li, Lydia Yiyu Chen:
On Influencing the Influential: Disparity Seeding. 1804-1813 - Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong:
Self-supervised Representation Learning on Dynamic Graphs. 1814-1823 - Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
:
Recipe Representation Learning with Networks. 1824-1833 - Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. 1834-1843 - Ajim Uddin
, Xinyuan Tao, Dantong Yu:
Attention Based Dynamic Graph Learning Framework for Asset Pricing. 1844-1853 - Ali Vardasbi
, Maarten de Rijke, Ilya Markov:
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. 1869-1878 - Baolai Wang, Shaojing Fu, Xuyun Zhang
, Tao Xie, Lingjuan Lyu, Yuchuan Luo:
Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing. 1879-1888 - Chunyang Wang, Yanmin Zhu, Haobing Liu
, Wenze Ma, Tianzi Zang, Jiadi Yu:
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. 1889-1898 - Hao Wang, Cheng Yang
, Chuan Shi:
Neural Information Diffusion Prediction with Topic-Aware Attention Network. 1899-1908 - Haoyu Wang, Yaqing Wang, Defu Lian
, Jing Gao:
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. 1909-1918 - Hu Wang, Hui Li, Meng Wang, Jiangtao Cui:
Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate Solutions. 1919-1928 - Hui Wang
, Wan-Lei Zhao, Xiangxiang Zeng
, Jianye Yang:
Fast k-NN Graph Construction by GPU based NN-Descent. 1929-1938 - Jianhua Wang, Jianye Yang, Wenjie Zhang
:
Top-k Tree Similarity Join. 1939-1948 - Jingkun Wang, Yipu Chen, Zichun Wang, Wen Zhao:
Popularity-Enhanced News Recommendation with Multi-View Interest Representation. 1949-1958 - Li Wang, Peipei Li, Kai Xiong, Jiashu Zhao, Rui Lin:
Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism. 1959-1968 - Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. 1969-1978 - Song Wang, Xiao Huang, Chen Chen
, Liang Wu, Jundong Li:
REFORM: Error-Aware Few-Shot Knowledge Graph Completion. 1979-1988 - Weichao Wang, Wei Gao, Shi Feng, Ling Chen, Daling Wang:
Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation. 1989-1998 - Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu:
Improving Chinese Character Representation with Formation Graph Attention Network. 1999-2009 - Xinping Wang, Caidie Huang, Jinfang Cai, Liangyu Chen:
Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis. 2010-2019 - Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu
, Xue Li
:
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. 2020-2029 - Yongjie Wang
, Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu
, Chunyan Miao:
The Skyline of Counterfactual Explanations for Machine Learning Decision Models. 2030-2039 - Yu Wang, Tyler Derr
:
Tree Decomposed Graph Neural Network. 2040-2049 - Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding:
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. 2050-2059 - Zhaonan Wang, Renhe Jiang
, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki:
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. 2060-2069 - Ziwei Wang, Yan Zhao, Xuanhao Chen
, Kai Zheng:
Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing. 2070-2079 - Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang:
Region Semantically Aligned Network for Zero-Shot Learning. 2080-2090 - Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He:
Pooling Architecture Search for Graph Classification. 2091-2100 - Zhikun Wei, Xin Wang, Wenwu Zhu:
AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction. 2101-2110 - Tobias Weller, Maribel Acosta
:
Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural Networks. 2111-2118 - Dawid Wisniewski
, Jedrzej Potoniec, Agnieszka Lawrynowicz:
SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL. 2119-2128 - Junda Wu
, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li:
Clustering of Conversational Bandits for User Preference Learning and Elicitation. 2129-2139 - Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He:
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. 2140-2149 - Libing Wu, Min Wang
, Dan Wu, Jia Wu
:
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control. 2150-2159 - Qitian Wu, Chenxiao Yang, Shuodian Yu, Xiaofeng Gao, Guihai Chen
:
Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders. 2160-2169 - Jiafeng Xia, Dongsheng Li
, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Incremental Graph Convolutional Network for Collaborative Filtering. 2170-2179 - Xin Xia
, Hongzhi Yin
, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. 2180-2190 - Yikuan Xia, Jun Gao, Bin Cui
:
iMap: Incremental Node Mapping between Large Graphs Using GNN. 2191-2200 - Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. 2201-2210 - Chenhao Xie, Wenhao Huang
, Jiaqing Liang, Chengsong Huang, Yanghua Xiao:
WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model. 2211-2220 - Zhongwei Xie, Ling Liu
, Lin Li, Luo Zhong:
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. 2221-2230 - Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. 2231-2240 - Hui Xu, Liyao Xiang, Jiahao Yu, Anqi Cao, Xinbing Wang:
Speedup Robust Graph Structure Learning with Low-Rank Information. 2241-2250 - Kun Xu, Yuanzhen Xie, Liang Chen, Zibin Zheng
:
Expanding Relationship for Cross Domain Recommendation. 2251-2260 - Siyong Xu, Cheng Yang
, Chuan Shi, Yuan Fang
, Yuxin Guo, Tianchi Yang
, Luhao Zhang, Maodi Hu
:
Topic-aware Heterogeneous Graph Neural Network for Link Prediction. 2261-2270 - Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su:
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning. 2271-2280 - Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng
, Shih-wei Liao:
Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. 2281-2290 - Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song:
Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising. 2291-2300 - Han Yang, Leilei Zhang, Bingning Wang, Ting Yao, Junfei Liu:
Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding? 2301-2310 - Han Yang, Junfei Liu:
Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplEx. 2311-2320 - Huanhuan Yang
, Dianxi Shi, Chenran Zhao, Guojun Xie, Shaowu Yang:
CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse Rewards. 2321-2330 - Jinzhu Yang, Ding Wang
, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu
:
Entity and Relation Matching Consensus for Entity Alignment. 2331-2341 - Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. 2342-2351 - Peng Yang, Ping Li:
Adversarial Kernel Sampling on Class-imbalanced Data Streams. 2352-2362 - Zhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li:
HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data. 2363-2372 - Jing Yao, Zhicheng Dou
, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen:
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. 2373-2382 - Kaichun Yao
, Chuan Qin, Hengshu Zhu
, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong:
An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment. 2383-2393 - Yixiang Yao, Tanmay Ghai, Srivatsan Ravi
, Pedro A. Szekely:
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. 2394-2403 - Guanyu Ye, Yan Zhao, Xuanhao Chen
, Kai Zheng:
Task Allocation with Geographic Partition in Spatial Crowdsourcing. 2404-2413 - Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo
, Cao Xiao, Fenglong Ma:
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. 2414-2423 - Jingyi You, Chenlong Hu, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura:
Robust Dynamic Clustering for Temporal Networks. 2424-2433 - Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang
:
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. 2434-2443 - Tan Yu, Yi Yang
, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li:
Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. 2444-2454 - Tan Yu, Ping Li:
Multiple Exemplars Learning for Fast Image Retrieval. 2455-2465 - Jinliang Yuan
, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang:
Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. 2466-2476 - Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan:
Reinforced Active Entity Alignment. 2477-2486 - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. 2487-2496 - Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong:
Fraud Detection under Multi-Sourced Extremely Noisy Annotations. 2497-2506 - Delvin Ce Zhang
, Hady W. Lauw
:
Topic Modeling for Multi-Aspect Listwise Comparisons. 2507-2516 - Han Zhang, Yu Hao, Xin Cao
, Yixiang Fang
, Won-Yong Shin, Wei Wang:
Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. 2517-2526 - Haoxiang Zhang
, Aécio S. R. Santos, Juliana Freire:
DSDD: Domain-Specific Dataset Discovery on the Web. 2527-2536 - Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye:
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. 2537-2546 - Jiuling Zhang, Zhiming Ding:
Delve into the Performance Degradation of Differentiable Architecture Search. 2547-2556 - Junwei Zhang, Min Gao
, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. 2557-2567 - Mingwei Zhang, Yang Yang, Rizwan Abbas, Ke Deng, Jianxin Li
, Bin Zhang:
SNPR: A Serendipity-Oriented Next POI Recommendation Model. 2568-2577 - Mingxi Zhang, Xifeng Yan, Wei Wang:
Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph. 2578-2587 - Moyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan
, Changchuan Yin:
Multi-Factors Aware Dual-Attentional Knowledge Tracing. 2588-2597 - Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. 2598-2607 - Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. 2608-2617 - Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang:
Adversarial Separation Network for Cross-Network Node Classification. 2618-2626 - Yao Zhang, Yun Xiong, Dongsheng Li
, Caihua Shan, Kan Ren, Yangyong Zhu:
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. 2627-2636 - Yufeng Zhang, Weiqing Wang
, Wei Chen, Jiajie Xu, An Liu, Lei Zhao:
Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding. 2637-2646 - Yuting Zhang, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Pareto-optimal Community Search on Large Bipartite Graphs. 2647-2656 - Zuobai Zhang, Zhongzhi Zhang, Guanrong Chen:
Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal. 2657-2667 - Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang:
Action Sequence Augmentation for Early Graph-based Anomaly Detection. 2668-2678 - Wan-Lei Zhao, Shi-Ying Lan, Run-Qing Chen, Chong-Wah Ngo:
k-sums Clustering: A Stochastic Optimization Approach. 2679-2687 - Shangfei Zheng, Wei Chen, Pengpeng Zhao, An Liu, Junhua Fang, Lei Zhao:
When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations. 2688-2697 - Weiguo Zheng, Mei Zhang:
Automated Query Graph Generation for Querying Knowledge Graphs. 2698-2707 - Wendong Zheng, Putian Zhao, Kai Huang, Gang Chen:
Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism. 2708-2717 - Dongming Zhou, Jing Yang:
Relation Network and Causal Reasoning for Image Captioning. 2718-2727 - Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. 2728-2737 - Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang
:
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. 2738-2748 - Yujia Zhou, Zhicheng Dou
, Yutao Zhu, Ji-Rong Wen:
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. 2749-2758 - Jieming Zhu, Jinyang Liu
, Shuai Yang, Qi Zhang, Xiuqiang He:
Open Benchmarking for Click-Through Rate Prediction. 2759-2769 - Tianyu Zhu, Wen Hua
, Jianfeng Qu, Xiaofang Zhou:
Summarizing Long-Form Document with Rich Discourse Information. 2770-2779 - Yutao Zhu, Jian-Yun Nie
, Zhicheng Dou
, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, Hao Jiang:
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking. 2780-2791
Short Paper Track
- Saima Absar, Lu Zhang
:
Discovering Time-invariant Causal Structure from Temporal Data. 2807-2811 - Shubhangi Agarwal, Sourav Dutta
, Arnab Bhattacharya:
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality. 2812-2816 - Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma
:
Goal-Directed Extractive Summarization of Financial Reports. 2817-2821 - Dawon Ahn, Seyun Kim, U Kang:
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. 2822-2826 - Seong-Jin Ahn, Myoung Ho Kim:
Variational Graph Normalized AutoEncoders. 2827-2831 - Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates:
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. 2832-2836 - Mira Ait Saada, François Role, Mohamed Nadif:
How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach. 2837-2841 - Elaheh Alipour Chavary
, Sarah M. Erfani, Christopher Leckie:
Scalable Contrast Pattern Mining over Data Streams. 2842-2846 - Faisal M. Almutairi, Nicholas D. Sidiropoulos
, Bo Yang:
XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering. 2847-2851 - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. 2852-2856 - Negar Arabzadeh, Maryam Khodabakhsh, Ebrahim Bagheri:
BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction. 2857-2861 - Negar Arabzadeh, Xinyi Yan, Charles L. A. Clarke:
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection. 2862-2866 - Mozhdeh Ariannezhad
, Sami Jullien
, Pim Nauts, Min Fang, Sebastian Schelter
, Maarten de Rijke
:
Understanding Multi-channel Customer Behavior in Retail. 2867-2871 - Jianghan Bao, Yu Zhang:
Time-Aware Recommender System via Continuous-Time Modeling. 2872-2876 - Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein
:
Anchor-based Collaborative Filtering. 2877-2881 - Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein
:
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. 2882-2887 - Qiwei Bi, Haoyuan Li, Hanfang Yang:
Boosting Few-shot Abstractive Summarization with Auxiliary Tasks. 2888-2893 - Alexander Bondarenko, Ekaterina Shirshakova, Marina Driker, Matthias Hagen, Pavel Braslavski:
Misbeliefs and Biases in Health-Related Searches. 2894-2899 - Pengfei Cao, Xinyu Zuo, Yubo Chen
, Kang Liu, Jun Zhao, Wei Bi:
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. 2900-2904 - Heng Chang
, Yu Rong, Tingyang Xu
, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang
, Wenwu Zhu:
Spectral Graph Attention Network with Fast Eigen-approximation. 2905-2909 - Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
New Tight Relaxations of Rank Minimization for Multi-Task Learning. 2910-2914 - Chung-Chi Chen
, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen:
Constructing Noise Free Economic Policy Uncertainty Index. 2915-2919 - Chung-Chi Chen
, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen:
Distilling Numeral Information for Volatility Forecasting. 2920-2924 - Chung-Chi Chen
, Hen-Hsen Huang, Hsin-Hsi Chen:
NQuAD: 70, 000+ Questions for Machine Comprehension of the Numerals in Text. 2925-2929 - John Chen, Qihan Wang, Anastasios Kyrillidis:
Mitigating Deep Double Descent by Concatenating Inputs. 2930-2934 - Lingwei Chen, Yujie Fan, Yanfang Ye:
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. 2935-2939 - Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu:
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. 2940-2944 - Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin
, Dawei Yin, Brian D. Davison
:
MGNETS: Multi-Graph Neural Networks for Table Search. 2945-2949 - Hyewon Choi, Youngjoong Ko:
Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection. 2950-2954 - Xiaokai Chu, Xinxin Fan, Zhihua Zhu, Jingping Bi:
Variational Cross-Network Embedding for Anonymized User Identity Linkage. 2955-2959 - Qiang Cui, Chenrui Zhang, Yafeng Zhang, Jinpeng Wang, Mingchen Cai:
ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation. 2960-2964 - Yue Cui
, Jiandong Xie, Kai Zheng:
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting. 2965-2969 - Tanmoy Dam
, Md Meftahul Ferdaus
, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? 2970-2973 - Marco Del Tredici, Gianni Barlacchi, Xiaoyu Shen, Weiwei Cheng, Adrià de Gispert:
Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations. 2974-2978 - Kaize Ding, Xuan Shan, Huan Liu:
Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning. 2979-2983 - Chengzhang Dong, Chenyang Huang, Osmar Zaïane, Lili Mou:
Simulated Annealing for Emotional Dialogue Systems. 2984-2988 - Erick Draayer, Huiping Cao
, Yifan Hao:
Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection. 2989-2993 - Lun Du
, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. 2994-2998 - Wei Du, Xintao Wu:
Fair and Robust Classification Under Sample Selection Bias. 2999-3003 - Vasilis Efthymiou, Kostas Stefanidis
, Evaggelia Pitoura, Vassilis Christophides:
FairER: Entity Resolution With Fairness Constraints. 3004-3008 - Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri:
Collaborative Experts Discovery in Social Coding Platforms. 3009-3013 - Michael Färber
, Ann-Kathrin Leisinger:
Recommending Datasets for Scientific Problem Descriptions. 3014-3018 - Ziwei Fan
, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. 3019-3023 - Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe:
Towards Robustness to Label Noise in Text Classification via Noise Modeling. 3024-3028 - Nikos Giatrakos
, Eleni Kougioumtzi, Antonios Kontaxakis, Antonios Deligiannakis, Yannis Kotidis:
EasyFlinkCEP: Big Event Data Analytics for Everyone. 3029-3033 - Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang:
Density-Based Dynamic Curriculum Learning for Intent Detection. 3034-3037 - Kalpa Gunaratna, Vijay Srinivasan
, Sandeep Nama, Hongxia Jin:
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. 3038-3042 - Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti:
Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. 3043-3047 - Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. 3048-3052 - Vinayak Gupta
, Srikanta Bedathur:
Region Invariant Normalizing Flows for Mobility Transfer. 3053-3057 - Hojae Han, Seungtaek Choi, Myeongho Jeong, Jin-Woo Park, Seung-won Hwang:
Counterfactual Generative Smoothing for Imbalanced Natural Language Classification. 3058-3062 - Soyeon Caren Han, Taejun Lim, Siqu Long, Bernd Burgstaller, Josiah Poon:
GLocal-K: Global and Local Kernels for Recommender Systems. 3063-3067 - Xiao Han
, Shuhan Yuan
:
Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation. 3068-3072 - Md. Kamrul Hasan, Mohammad Mahdavi:
Automatic Error Correction Using the Wikipedia Page Revision History. 3073-3077 - Arezoo Hatefi, Xuan-Son Vu, Monowar H. Bhuyan, Frank Drewes:
Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling. 3078-3082 - Magnus Haxen, Morten Raeburn
, Peyman Afshani, Panagiotis Karras:
Centerpoint Query Authentication. 3083-3087 - Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley
:
Locker: Locally Constrained Self-Attentive Sequential Recommendation. 3088-3092 - Chuyin Huang, Weiyang Kong, Genan Dai, Yubao Liu:
LTPHM: Long-term Traffic Prediction based on Hybrid Model. 3093-3097 - Ruoran Huang, Chuanqi Han, Li Cui:
Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation. 3098-3102 - Aaron Hui, Byron J. Gao:
When is Nearest Neighbor Meaningful: Sequential Data. 3103-3106 - Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato:
The Effect of News Article Quality on Ad Consumption. 3107-3111 - Zijing Ji, Xin Wang, Yuxin Shen, Guozheng Rao:
CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese. 3112-3116 - Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng:
Robust Adaptive-weighting Multi-view Classification. 3117-3121 - Ming Jin, Yixin Liu, Yu Zheng
, Lianhua Chi, Yuan-Fang Li, Shirui Pan:
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. 3122-3126 - Taegwan Kang, Minwoo Lee, Nakyeong Yang, Kyomin Jung:
RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction. 3127-3131 - Anoop R. Katti, Kai Hui, Adrià de Gispert, Hagen Fürstenau:
Question Answering using Web Lists. 3132-3136 - Yonchanok Khaokaew, Mohammad Saiedur Rahaman
, Ryen W. White, Flora D. Salim:
CoSEM: Contextual and Semantic Embedding for App Usage Prediction. 3137-3141 - Meoungjun Kim, Youngjoong Ko:
Self-supervised Fine-tuning for Efficient Passage Re-ranking. 3142-3146 - Youngwoo Kim
, Razieh Rahimi, Hamed R. Bonab, James Allan:
Query-driven Segment Selection for Ranking Long Documents. 3147-3151 - Toon Koppelaars, Xavier Oriol
, Ernest Teniente, Sergi Curto, Eduard Pujol:
UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion. 3152-3156 - Ivan Kropotov, Alan Medlar, Dorota Glowacka:
Exploratory Search of GANs with Contextual Bandits. 3157-3161 - Yuki Kurauchi, Yoshiaki Takimoto, Shuhei Yamamoto, Shunichi Seko, Hiroyuki Toda:
Asterisk-Shaped Features for Tabular Data. 3162-3165 - Alexander Frederiksen Kyster, Simon Daugaard Nielsen, Judith Hermanns, Davide Mottin, Panagiotis Karras:
Boosting Graph Alignment Algorithms. 3166-3170 - Darong Lai, Zheyi Liu, Junyao Huang, Zhihong Chong, Weiwei Wu, Christine Nardini:
Attention Based Subgraph Classification for Link Prediction by Network Re-weighting. 3171-3175 - Dohyeon Lee, Jaeseong Lee, Gyewon Lee, Byung-Gon Chun, Seung-won Hwang:
SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer. 3176-3180 - Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee
, Cheon-Eum Park, Kyomin Jung:
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. 3181-3185 - Youngjune Lee, Kee-Eung Kim:
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. 3186-3190 - Yu Lei, Jing Zhang:
Capsule Graph Neural Networks with EM Routing. 3191-3195 - Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu:
Hubness-aware User Identity Linkage. 3196-3200 - Chen Li, Xutan Peng
, Hao Peng, Jia Wu
, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun
:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. 3201-3205 - Dongyue Li, Tao Yang, Lun Du
, Zhezhi He, Li Jiang:
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. 3206-3210 - Lin Li, Ming Li, Zichen Zan, Qing Xie, Jianquan Liu:
Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images. 3211-3215 - Mingyang Li, Shao-Lun Huang, Lin Zhang:
OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. 3216-3220 - Xiangju Li
, Wei Gao, Shi Feng, Daling Wang, Shafiq R. Joty:
Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network. 3221-3226 - Xiangju Li
, Wei Gao, Shi Feng, Daling Wang, Shafiq R. Joty:
Span-level Emotion Cause Analysis with Neural Sequence Tagging. 3227-3231 - Yinxiao Li, T. Jennings Anderson, Yiqi Niu:
Vandalism Detection in OpenStreetMap via User Embeddings. 3232-3236 - Yunhe Li, Yaochen Hu, Yingxue Zhang:
Graph Representation Learning via Adversarial Variational Bayes. 3237-3241 - Bin Liang, Wangda Luo, Xiang Li, Lin Gui
, Min Yang, Xiaoqi Yu, Ruifeng Xu:
Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning. 3242-3247 - Chung-Yi Lin, Hung-Ting Su, Shen-Lung Tung, Winston H. Hsu:
Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic. 3248-3252 - Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen:
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation. 3253-3257 - Jiqun Liu
, Ran Yu
:
State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval. 3258-3262 - Qiang Liu, Yanqiao Zhu
, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. 3263-3267 - Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang:
Fine-Grained Element Identification in Complaint Text of Internet Fraud. 3268-3272 - Yaguang Liu, Lisa Singh:
Age Inference Using A Hierarchical Attention Neural Network. 3273-3277 - Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou:
Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. 3278-3282 - Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao:
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. 3283-3287 - Ruipu Luo, Qi Zhu, Qin Chen, Siyuan Wang, Zhongyu Wei, Weijian Sun, Shuang Tang:
Operation Diagnosis on Procedure Graph: The Task and Dataset. 3288-3292 - Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan:
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention. 3293-3297 - Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo:
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast. 3298-3302 - Ziyang Luo, Yadong Xi, Xiaoxi Mao:
Smoothing with Fake Label. 3303-3307 - Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li:
Learning Sparse Binary Code for Maximum Inner Product Search. 3308-3312 - Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. 3313-3317 - Craig Macdonald, Nicola Tonellotto:
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. 3318-3322 - Sameen Mansha, Tayyab Khalid, Faisal Kamiran, Masroor Hussain, Syed Fawad Hussain
, Hongzhi Yin
:
GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction. 3323-3327 - Haitao Mao, Xu Chen, Qiang Fu, Lun Du
, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. 3328-3332 - Francesco Meggetto
, Crawford Revie
, John Levine, Yashar Moshfeghi:
On Skipping Behaviour Types in Music Streaming Sessions. 3333-3337 - Ishani Mondal, Procheta Sen, Debasis Ganguly:
Multi-objective Few-shot Learning for Fair Classification. 3338-3342 - Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li:
MDFEND: Multi-domain Fake News Detection. 3343-3347 - Levin Noronha, Fei Chiang:
Discovery of Temporal Graph Functional Dependencies. 3348-3352 - Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia
, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang:
Lightweight Visual Question Answering using Scene Graphs. 3353-3357 - Ji-Young Park, Lin Liu
, Jiuyong Li
, Jixue Liu
:
Training Neural Networks with Random Noise Images for Adversarial Robustness. 3358-3362 - Sachin Pathiyan Cherumanal, Damiano Spina
, Falk Scholer, W. Bruce Croft:
Evaluating Fairness in Argument Retrieval. 3363-3367 - Luca Piras
, Ludovico Boratto
, Guilherme Ramos
:
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. 3368-3372 - Yi Qi, Ke Hu, Bo Zhang, Jia Cheng, Jun Lei:
Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search. 3373-3377 - Guilherme Ramos
, Ludovico Boratto
, Mirko Marras:
Reputation Equity in Ranking Systems. 3378-3382 - Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang:
Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval. 3383-3387 - Praveen Rao, Arun Zachariah, Deepthi S. Rao, Peter J. Tonellato, Wesley C. Warren, Eduardo J. Simões
:
Accelerating Variant Calling on Human Genomes Using a Commodity Cluster. 3388-3392 - Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu
, Bochao Li:
A Conditional Cascade Model for Relational Triple Extraction. 3393-3397 - Soumyadeep Roy
, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural
, Niloy Ganguly:
Knowledge-Aware Neural Networks for Medical Forum Question Classification. 3398-3402 - Maciej Rybinski, Sarvnaz Karimi:
Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search. 3403-3407 - Sarina Sajadi Ghaemmaghami, Amirali Salehi-Abari:
DeepGroup: Group Recommendation with Implicit Feedback. 3408-3412 - Jiangli Shao
, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. 3413-3417 - Manjira Sinha
, Tirthankar Dasgupta:
Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network. 3418-3422 - Manjira Sinha
, Tirthankar Dasgupta:
Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization. 3423-3427 - Dongcheol Son, Youngjoong Ko:
Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation. 3428-3432 - Maithrreye Srinivasan, Davood Rafiei:
Location-Aware Named Entity Disambiguation. 3433-3438 - Hongyang Su, Xiaolong Wang, Yang Qin:
AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting. 3439-3442 - Jie Tang, Yiling Wu, Minglei Li, Zhu Wang:
Talking Face Generation Based on Information Bottleneck and Complementary Representations. 3443-3447 - Tokala Yaswanth Sri Sai Santosh, Nikhil Reddy Varimalla, Anoop Vallabhajosyula, Debarshi Kumar Sanyal, Partha Pratim Das:
HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation. 3448-3452 - Nicola Tonellotto, Craig Macdonald:
Query Embedding Pruning for Dense Retrieval. 3453-3457 - Guanyu Wang, Ting Zhong, Xovee Xu
, Kunpeng Zhang, Fan Zhou, Yong Wang:
Vector-Quantized Autoencoder With Copula for Collaborative Filtering. 3458-3462 - Jiaan Wang
, Zhixu Li, Qiang Yang
, Jianfeng Qu, Zhigang Chen, Qingsheng Liu, Guoping Hu:
SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary. 3463-3467 - Jian Wang
, Wenjie Li:
Template-guided Clarifying Question Generation for Web Search Clarification. 3468-3472 - Lili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, Soroush Vosoughi:
Embedding Node Structural Role Identity Using Stress Majorization. 3473-3477 - Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi:
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. 3478-3482 - Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Fully Hyperbolic Graph Convolution Network for Recommendation. 3483-3487 - Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Label-informed Graph Structure Learning for Node Classification. 3488-3492 - Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao
:
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. 3493-3497 - Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He:
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. 3498-3502 - Shuai Wang, Wenji Mao:
Modeling Inter-Claim Interactions for Verifying Multiple Claims. 3503-3507 - Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. 3508-3512 - Yu Wang, Zhiwei Liu, Ziwei Fan
, Lichao Sun
, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. 3513-3517 - Yuening Wang, Yingxue Zhang, Mark Coates:
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. 3518-3522 - Zhen Wang
, Yang Zhang, Ai Jiang, Ji Zhang, Zhao Li, Jun Gao, Ke Li, Chenhao Lu, Zujie Ren:
Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks. 3523-3527 - Penghui Wei, Weimin Zhang, Zixuan Xu
, Shaoguo Liu, Kuang-chih Lee, Bo Zheng:
AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. 3528-3532 - Tobias Weller, Heiko Paulheim
:
Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs. 3533-3537 - Jie Wen, Zhihao Wu, Zheng Zhang
, Lunke Fei, Bob Zhang
, Yong Xu:
Structural Deep Incomplete Multi-view Clustering Network. 3538-3542 - Shiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng:
SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. 3543-3547 - Xiaoying Xing, Hongfu Liu, Chen Chen
, Jundong Li:
Fairness-Aware Unsupervised Feature Selection. 3548-3552 - Yichen Xu, Yanqiao Zhu
, Feng Yu, Qiang Liu, Shu Wu:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. 3553-3557 - Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong:
DESTINE: Dense Subgraph Detection on Multi-Layered Networks. 3558-3562 - Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Binary Code based Hash Embedding for Web-scale Applications. 3563-3567 - Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. 3568-3572 - Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. 3573-3577 - Hang Yang, Yubo Chen
, Kang Liu, Jun Zhao, Taifeng Wang:
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. 3578-3582 - Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang:
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. 3583-3587 - Yonghao Gu, Liangxun Li:
GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution. 3588-3591 - HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. 3592-3596 - Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li:
MixBERT for Image-Ad Relevance Scoring in Advertising. 3597-3602 - Samson Yu Bai Jian
, Tapas Nayak, Navonil Majumder, Soujanya Poria
:
Aspect Sentiment Triplet Extraction Using Reinforcement Learning. 3603-3607 - Gongsheng Yuan, Jiaheng Lu
, Shuxun Zhang, Zhengtong Yan
:
Storing Multi-model Data in RDBMSs based on Reinforcement Learning. 3608-3611 - Huixin Zhan, Kun Zhang, Chenyi Hu
, Victor S. Sheng:
Multi-objective Privacy-preserving Text Representation Learning. 3612-3616 - He Zhang, Bang Wu
, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan:
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. 3617-3621 - Jingsen Zhang, Xu Chen, Wayne Xin Zhao:
Causally Attentive Collaborative Filtering. 3622-3626 - Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. 3627-3631 - Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang:
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. 3632-3636 - Wenjia Zhang, Lin Gui
, Yulan He
:
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. 3637-3641 - Xuanyu Zhang, Qing Yang:
DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking. 3642-3646 - Zhenyu Zhang, Tao Guo, Meng Chen:
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder. 3647-3651 - Zhiling Zhang, Zelin Zhou, Haifeng Tang, Guangwei Li, Mengyue Wu, Kenny Q. Zhu:
Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging. 3652-3656 - Feng Zhao, Donglin Wang:
Multimodal Graph Meta Contrastive Learning. 3657-3661 - Bo Zhou, Yubo Chen
, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li:
Multi-Task Self-Supervised Learning for Script Event Prediction. 3662-3666 - Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna:
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. 3667-3671 - Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung:
Subtractive Aggregation for Attributed Network Anomaly Detection. 3672-3676 - Yiwei Zhou, Siffi Singh, Christos Christodoulopoulos:
Tabular Data Concept Type Detection Using Star-Transformers. 3677-3681 - Hao Zhu, Piotr Koniusz:
REFINE: Random RangE FInder for Network Embedding. 3682-3686 - Wenjie Zhu
, Bo Peng, Chunchun Chen:
Self-Supervised Embedding for Subspace Clustering. 3687-3691
Applied Research Paper Track
- Maryam Aziz, Alice Wang
, Aasish Pappu, Hugues Bouchard, Yu Zhao, Benjamin A. Carterette, Mounia Lalmas:
Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts. 3707-3716 - Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon:
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification. 3717-3726 - Guy Barshatski, Galia Nordon, Kira Radinsky:
Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture. 3727-3736 - Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen:
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. 3737-3746 - Lei Cai, Zhengzhang Chen
, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. 3747-3756 - Bo Chen
, Yichao Wang
, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He:
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. 3757-3766 - Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic:
ETA Prediction with Graph Neural Networks in Google Maps. 3767-3776 - Min Du, Wenjun Hu, William Hewlett:
AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining. 3777-3786 - Pranay Dugar, Rajesh Shreedhar Bhat, Asit Sharad Tarsode, Uddipto Dutta, Kunal Banerjee, Anirban Chatterjee, Vijay Srinivas Agneeswaran
:
From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog. 3787-3795 - Ahmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim, A. B. Siddique, Samriddhi Singla, Ganesh Sivaram, Tin Vu, Yaming Zhang:
Beast: Scalable Exploratory Analytics on Spatio-temporal Data. 3796-3807 - Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. 3808-3817 - Martin Gerlach
, Marshall Miller
, Rita Ho, Kosta Harlan, Djellel Eddine Difallah
:
Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach. 3818-3827 - Yulong Gu, Wentian Bao, Dan Ou, Xiang Li, Baoliang Cui, Biyu Ma, Haikuan Huang, Qingwen Liu, Xiaoyi Zeng:
Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce. 3828-3837 - Chuanbo Hu, Minglei Yin, Bin Liu
, Xin Li, Yanfang Ye:
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. 3838-3846 - Larry Huynh, Thai Nguyen, Joshua Goh, Hyoungshick Kim, Jin B. Hong
:
ARGH!: Automated Rumor Generation Hub. 3847-3856 - Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song:
LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. 3857-3866 - Yugang Ji, Chuan Shi, Xiao Wang:
Prohibited Item Detection on Heterogeneous Risk Graphs. 3867-3877 - Yohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh:
Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising. 3878-3887 - Nagaraj Kota, Venkatesh Duppada, Ashvini Jindal, Mohit Wadhwa:
Understanding Job Seeker Funnel for Search and Discovery Personalization. 3888-3897 - Chengbo Li, Lin Zhu, Guangyuan Fu, Longzhi Du, Canhua Zhao, Tianlun Ma, Chang Ye, Pei Lee:
Learning to Bundle Proactively for On-Demand Meal Delivery. 3898-3905 - Jianchuan Li, Peiquan Jin, Yuanjin Lin, Ming Zhao, Yi Wang, Kuankuan Guo:
Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDB. 3906-3915 - Qian Li
, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. 3916-3924 - Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang:
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. 3925-3934 - Yang Li, Xingyu Wu, Jinglong Wang, Yong Liu, Xiaoqing Wang, Yuming Deng, Chunyan Miao:
Unsupervised Categorical Representation Learning for Package Arrival Time Prediction. 3935-3944 - Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang
:
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. 3945-3954 - Shuming Liang, Zhidong Li, Bin Liang
, Yu Ding, Yang Wang
, Fang Chen:
Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series. 3955-3964 - Peiyang Liu
, Xi Wang, Lin Wang, Wei Ye, Xiangyu Xi, Shikun Zhang:
Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval. 3965-3975 - Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. 3976-3985 - Patrice Lopez, Caifan Du, Johanna Cohoon, Karthik Ram, James Howison:
Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task. 3986-3995 - Rishabh Mehrotra:
Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations. 3996-4005 - Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang:
Sequential Search with Off-Policy Reinforcement Learning. 4006-4015 - Alexandar Mihaylov, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte
:
Scalable Learning to Troubleshoot Query Performance Problems. 4016-4025 - Keith G. Mills
, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. 4026-4035 - Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko:
TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. 4036-4045 - Xiuyan Ni, Shujian Bu, Lucas Adams, Igor L. Markov:
Prioritizing Original News on Facebook. 4046-4054 - Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang:
Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. 4055-4064 - Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen:
Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation. 4065-4074 - Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. 4075-4084 - Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed
, Gang Wu:
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. 4085-4093 - Qijie Shen, Wanjie Tao, Jing Zhang
, Hong Wen, Zulong Chen, Quan Lu:
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios. 4094-4103 - Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu:
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. 4104-4113 - Roee Shraga, Gil Katz, Yael Badian, Nitay Calderon, Avigdor Gal:
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry. 4114-4124 - Fu Sun, Feng-Lin Li, Ruize Wang, Qianglong Chen
, Xingyi Cheng, Ji Zhang:
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering. 4125-4134 - Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. 4135-4144 - Ermal Toto, M. L. Tlachac
, Elke A. Rundensteiner:
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. 4145-4154 - Mykola Trokhymovych, Diego Sáez-Trumper
:
WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia. 4155-4164 - Yun-Da Tsai, Cheng-Kuan Chen, Shou-De Lin:
Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus. 4165-4172 - Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad DeLuca, Steve Welch, Ismini Lourentzou:
SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion. 4173-4183 - Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu:
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. 4184-4192 - Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin:
Influence Maximization in Multi-Relational Social Networks. 4193-4202 - Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li:
Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. 4203-4213 - Zihao Wang, Fudong Wang, Haipeng Zhang
, Minghui Yang
, Shaosheng Cao, Zujie Wen, Zhe Zhang:
'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds. 4214-4223 - Shuang Wu
, Zhen Qin, Zhen Wang, Siwei Rao, Qiang Ye, Xingyue Quan, Guangjian Tian:
Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach. 4224-4233 - Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li:
Crawler Detection in Location-Based Services Using Attributed Action Net. 4234-4242 - Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. 4243-4252 - Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui
, Bolin Ding:
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. 4253-4263 - Zhengqi Xu, Yixuan Cao, Rongyu Cao, Guoxiang Li, Xuanqiang Liu, Yan Pang, Yangbin Wang, Jianfei Zhang, Allie Cheung, Matthew Tam, Lukas Petrikas, Ping Luo:
Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies. 4264-4272 - Xiao Yan, Ada Ma, Jaewon Yang, Lin Zhu, How Jing, Jacob Bollinger, Qi He
:
Contextual Skill Proficiency via Multi-task Learning at LinkedIn. 4273-4282 - Xiaoran Yan, Guangchen Ruan, Dimitar Nikolov, Matthew Hutchinson
, Chathuri Peli Kankanamalage, Benjamin Serrette, James R. McCombs, Alan Walsh
, Esen Tuna, Valentin Pentchev:
CADRE: A Cloud-Based Data Service for Big Bibliographic Data. 4283-4292 - Haode Yang, Parth Gupta, Roberto Fernández Galán, Dan Bu, Dongmei Jia:
Seasonal Relevance in E-Commerce Search. 4293-4301 - Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi:
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. 4302-4311 - Zimeng Yang, Song Yan, Abhimanyu Lad, Xiaowei Liu, Weiwei Guo:
Cascaded Deep Neural Ranking Models in LinkedIn People Search. 4312-4320 - Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger:
Self-supervised Learning for Large-scale Item Recommendations. 4321-4330 - Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang:
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. 4331-4340 - Tan Yu, Yi Yang
, Yi Li, Lin Liu, Mingming Sun, Ping Li:
Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising. 4341-4351 - Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou:
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge. 4352-4361 - Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. 4362-4372 - Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke:
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. 4373-4382 - Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu:
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. 4383-4392 - Qianwen Zhu, Xihan Li, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng:
Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem. 4393-4402
Resource Paper Track
- Negar Arabzadeh, Amin Bigdeli, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri:
Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation. 4417-4425 - Negar Arabzadeh, Bhaskar Mitra, Ebrahim Bagheri:
MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries. 4426-4435 - Tai-Te Chu, An-Zi Yen, Wei-Hong Ang, Hen-Hsen Huang, Hsin-Hsi Chen:
VidLife: A Dataset for Life Event Extraction from Videos. 4436-4444 - Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou:
GAKG: A Multimodal Geoscience Academic Knowledge Graph. 4445-4454 - Cheyenne Dosso, José G. Moreno, Aline Chevalier, Lynda Tamine:
CoST: An annotated Data Collection for Complex Search. 4455-4464 - Carsten Felix Draschner
, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. 4465-4474 - Alishiba Dsouza
, Nicolas Tempelmeier, Ran Yu
, Simon Gottschalk, Elena Demidova:
WorldKG: A World-Scale Geographic Knowledge Graph. 4475-4484 - Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. 4485-4494 - Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Evaluating Graph Vulnerability and Robustness using TIGER. 4495-4503 - Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
LC: A Flexible, Extensible Open-Source Toolkit for Model Compression. 4504-4514 - Renhe Jiang
, Du Yin
, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki:
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. 4515-4525 - Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis:
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. 4526-4533 - Alejandro Moreo, Andrea Esuli
, Fabrizio Sebastiani:
QuaPy: A Python-Based Framework for Quantification. 4534-4543 - André F. A. Paschoal, Paulo Pirozelli, Valdinei Freire, Karina Valdivia Delgado, Sarajane M. Peres, Marcos Menon José, Flávio Nakasato Cação, André Seidel Oliveira
, Anarosa A. F. Brandão
, Anna H. R. Costa, Fábio Gagliardi Cozman:
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean. 4544-4553 - Julien Rossi, Svitlana Vakulenko, Evangelos Kanoulas
:
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law. 4554-4563 - Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel
, Maria Sinziana Astefanoaei, Oliver Kiss
, Ferenc Béres
, Guzmán López, Nicolas Collignon, Rik Sarkar:
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. 4564-4573 - David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger:
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. 4574-4583 - Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu
, Andrew Schwartz
, Robin Burke:
librec-auto: A Tool for Recommender Systems Experimentation. 4584-4593 - Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu:
TrUMAn: Trope Understanding in Movies and Animations. 4594-4603 - Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova:
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale. 4604-4612 - Anh Tran, Tao Yang, Qingyao Ai:
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. 4613-4622 - Haiwen Wang, Le Zhou, Weinan Zhang, Xinbing Wang:
LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature. 4623-4632 - Jin Wang, Yuliang Li, Wataru Hirota:
Machamp: A Generalized Entity Matching Benchmark. 4633-4642 - Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou
, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun:
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. 4643-4652 - Wayne Xin Zhao, Shanlei Mu, Yupeng Hou
, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang
, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. 4653-4664
Demo Papers
- Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
:
FairCORELS, an Open-Source Library for Learning Fair Rule Lists. 4665-4669 - Angelos-Christos G. Anadiotis, Oana Balalau
, Theo Bouganim, Francesco Chimienti, Helena Galhardas, Mhd Yamen Haddad
, Stephane Horel, Ioana Manolescu, Youssr Youssef:
Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens. 4670-4674 - Haoyue Bai, Xiaoyan Shan, Yefan Huang, Xiaoli Wang:
MVQAS: A Medical Visual Question Answering System. 4675-4679 - Andrea Baraldi
, Francesco Del Buono, Matteo Paganelli, Francesco Guerra
:
Landmark Explanation: An Explainer for Entity Matching Models. 4680-4684 - Nifei Bi, Xiansen Chen, Chen Xu, Aoying Zhou:
Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference. 4685-4689 - Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. 4690-4695 - Sandrine Da Col, Radu Ciucanu, Marta Soare, Nassim Bouarour, Sihem Amer-Yahia:
DashBot: An ML-Guided Dashboard Generation System. 4696-4700 - Xiang Dai
, Maciej Rybinski, Sarvnaz Karimi:
SearchEHR: A Family History Search System for Clinical Decision Support. 4701-4705 - Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri:
OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning. 4706-4710 - Yad Fatah, Mark Nourallah, Lynn Wahab, Fatima K. Abu Salem, Shady Elbassuoni:
An RDF Data Management System for Conflict Casualties. 4711-4715 - Radin Hamidi Rad
, Aabid Mitha, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri:
PyTFL: A Python-based Neural Team Formation Toolkit. 4716-4720 - Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen
, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. 4721-4724 - Fei Jie, Yanxiang Huang, Qiangwei Bai, Xindong Wu:
HAO Unity: A Graph-based System for Unifying Heterogeneous Data. 4725-4729 - Maria Krommyda, Verena Kantere:
SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints. 4730-4733 - Jieke Li, Min Yang, Chengming Li
:
CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking. 4734-4738 - Wei Li, Rishi Choudhary, Arjumand Younus, Bruno Ohana, Nicole Baker, Brendan Leen, Muhammad Atif Qureshi:
RCES: Rapid Cues Exploratory Search Using Taxonomies For COVID-19. 4739-4743 - Xiao Li, Huizhi Liang, Zehao Liu
:
Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food. 4744-4748 - Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li
, Xing Tang:
From Community Search to Community Understanding: A Multimodal Community Query Engine. 4749-4753 - Feng Luo, Yue Zhang, Xiaoli Wang:
IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks. 4754-4758 - John Nemec, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat:
RW-Team: Robust Team Formation using Random Walk. 4759-4763 - You Peng, Wenjie Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang
:
DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs. 4764-4768 - Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian:
DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. 4769-4773 - André Pomp, Alexander Paulus, Andreas Burgdorf, Tobias Meisen
:
A Semantic Data Marketplace for Easy Data Sharing within a Smart City. 4774-4778 - Zhiyuan Qi
, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng:
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System. 4779-4783 - Yizhan Shao, Tong Shao, Minghao Wang, Peng Wang, Jie Gao:
A Sentiment and Style Controllable Approach for Chinese Poetry Generation. 4784-4788 - Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan:
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. 4789-4793 - Tomás Skopal
, Dominika Durisková, Petr Pechman, Marek Dobranský, Vladislav Khachaturian:
Videolytics: System for Data Analytics of Video Streams. 4794-4798 - Kai Wang, Yiheng Hu, Xuemin Lin, Wenjie Zhang
, Lu Qin
, Ying Zhang
:
A Cohesive Structure Based Bipartite Graph Analytics System. 4799-4803 - Xing Wei, Huiqi Hu, Xuan Zhou, Xuecheng Qi, Weining Qian, Jiang Wang, Aoying Zhou:
Jasmine: Exploring the Dependency-Aware Execution on Distributed Shared Memory. 4804-4807 - Guohai Xu, Hehong Chen, Feng-Lin Li, Fu Sun, Yunzhou Shi, Zhixiong Zeng, Wei Zhou, Zhongzhou Zhao, Ji Zhang:
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce. 4808-4812 - Xiaona Xue, Jinling Jiang, Wenjian Zhang, Yanxiang Huang, Xindong Wu:
A Chinese Knowledge Base Question Answering System. 4813-4816 - Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai:
Form 10-Q Itemization. 4817-4822 - Zijian Zhang, Koustav Rudra
, Avishek Anand:
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop. 4823-4827 - Kechun Zhao, Hui Li, Zheng Gong
, Jiangtao Cui:
SaDes: An Interactive System for Sensitivity-aware Desensitization towards Tabular Data. 4828-4832 - Jun Zhou, Yang Bao, Hua Wu, Zhigang Hua:
AntOpt: A Multi-functional Large-scale Decision Optimization Platform. 4833-4837
Tutorials
- Joel Barajas, Narayan Bhamidipati, James G. Shanahan:
Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges. 4838-4841 - Djellel Eddine Difallah
, Alessandro Checco:
Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond. 4842-4844 - Rajeev Gupta, Ranganath Kondapally:
Large-Scale Information Extraction under Privacy-Aware Constraints. 4845-4848 - Jian Kang
, Hanghang Tong:
Fair Graph Mining. 4849-4852 - Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang:
AutoML: From Methodology to Application. 4853-4856 - Yunqi Li, Yingqiang Ge, Yongfeng Zhang:
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. 4857-4860 - Craig Macdonald, Nicola Tonellotto, Sean MacAvaney:
IR From Bag-of-words to BERT and Beyond through Practical Experiments. 4861 - Preslav Nakov, Giovanni Da San Martino:
Fake News, Disinformation, Propaganda, and Media Bias. 4862-4865 - Wenjie Ruan, Xinping Yi, Xiaowei Huang:
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications. 4866-4869
Workshops
- Marco Beccuti, Vincenzo Bonnici, Rosalba Giugno:
MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems. 4870-4871 - Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh:
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. 4872-4873 - Juan José del Coz, Pablo González
, Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify: Methods and Applications (LQ 2021). 4874-4875 - Georgios Drakopoulos
, Eleanna Kafeza:
THECOG - Transforms In Behavioral And Affective Computing. 4876-4877 - Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas
, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil:
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. 4878-4879 - Anett Hoppe, Ran Yu, Irina R. Brich, Jiqun Liu:
IWILDS'21: Second International Workshop on Learning During Web Search. 4880-4881 - Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini
, Sandya Mannarswamy:
First Workshop on Knowledge Injection in Neural Networks (KINN). 4882-4883 - Arijit Ukil, Leandro Marín, Antonio J. Jara
, John R. Farserotu:
Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond. 4884-4885 - Xuyun Zhang
, Deepak Puthal, Chi Yang, Guanfeng Liu
, Kim-Kwang Raymond Choo, Hongzhi Yin
:
International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). 4886-4887
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