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ORCID30th 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