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ORCID32nd CIKM 2023: Birmingham, UK
- Ingo Frommholz, Frank Hopfgartner, Mark Lee, Michael Oakes, Mounia Lalmas, Min Zhang, Rodrygo L. T. Santos:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023. ACM 2023
Keynote Talks
- Yulan He
:
Interpretable Natural Language Understanding. 1-2 - Chirag Shah:
Generative AI and the Future of Information Access. 3 - Steffen Staab:
Knowledge Graphs for Knowing More and Knowing for Sure. 4
Full Papers
- Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal:
Optimizing for Member Value in an Edge Building Marketplace. 5-14 - Medina Andresel, Trung-Kien Tran, Csaba Domokos, Pasquale Minervini, Daria Stepanova:
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs. 15-24 - Arian Askari, Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas, Suzan Verberne:
CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts. 25-35 - Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li:
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking. 36-46 - Xigang Bao, Mengyuan Tian, Zhiyuan Zha, Biao Qin:
MPMRC-MNER: A Unified MRC framework for Multimodal Named Entity Recognition based Multimodal Prompt. 47-56 - Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Deep Integrated Explanations. 57-67 - Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky:
GraphERT- Transformers-based Temporal Dynamic Graph Embedding. 68-77 - Vedangi Bengali, Nate Veldt:
Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling. 78-87 - Lorenzo Betti, Carlo Abrate, Francesco Bonchi, Andreas Kaltenbrunner:
Relevance-based Infilling for Natural Language Counterfactuals. 88-98 - Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. 99-109 - Shuqing Bian, Xingyu Pan, Wayne Xin Zhao, Jinpeng Wang, Chuyuan Wang, Ji-Rong Wen:
Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation. 110-119 - Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke:
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. 120-130 - Luca Bonomi, Sepand Gousheh, Liyue Fan:
Enabling Health Data Sharing with Fine-Grained Privacy. 131-141 - Zeyd Boukhers, Azeddine Bouabdallah, Cong Yang, Jan Jürjens:
Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility. 142-151 - Kathleen Cachel, Elke A. Rundensteiner:
Fair&Share: Fast and Fair Multi-Criteria Selections. 152-162 - Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization Bound for Estimating Causal Effects from Observational Network Data. 163-172 - Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang:
How Expressive are Graph Neural Networks in Recommendation? 173-182 - Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. 183-192 - Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki:
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. 193-202 - Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. 203-212 - Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Inducing Causal Structure for Abstractive Text Summarization. 213-223 - Jie Chen, Tong Liu, Ruiyuan Li:
Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning. 224-233 - Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye Wang:
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. 234-244 - Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. 245-255 - Jushuo Chen, Feifei Dai, Xiaoyan Gu, Haihui Fan, Jiang Zhou, Bo Li, Weiping Wang:
Learning Pair-Centric Representation for Link Sign Prediction with Subgraph. 256-265 - Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia:
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. 266-275 - Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. 276-285 - Chen Chen, Bo He, Jing Yuan, Chunyan Hou, Xiaojie Yuan:
Incorporating Constituent Syntax into Grammatical Error Correction with Multi-Task Learning. 286-295 - Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen:
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. 296-305 - Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. 306-315 - Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang:
Deep Generative Imputation Model for Missing Not At Random Data. 316-325 - Xuxin Cheng, Wanshi Xu, Zhihong Zhu, Hongxiang Li, Yuexian Zou:
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning. 326-336 - Xuxin Cheng, Zhihong Zhu, Yaowei Li, Hongxiang Li, Yuexian Zou:
DAS-CL: Towards Multimodal Machine Translation via Dual-Level Asymmetric Contrastive Learning. 337-347 - Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung, Ikhyun Cho:
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting. 348-358 - Harshita Chopra, Atanu R. Sinha, Sunav Choudhary, Ryan A. Rossi, Paavan Kumar Indela, Veda Pranav Parwatala, Srinjayee Paul, Aurghya Maiti:
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. 359-368 - Federico Cinus, Aristides Gionis, Francesco Bonchi:
Rebalancing Social Feed to Minimize Polarization and Disagreement. 369-378 - Anthony M. Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang:
Can Knowledge Graphs Simplify Text? 379-389 - Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen:
Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction. 390-399 - Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers:
NeoMaPy: A Parametric Framework for Reasoning with MAP Inference on Temporal Markov Logic Networks. 400-409 - Yujia Ding, Huan Li, Ke Chen, Lidan Shou:
TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features. 410-419 - Pengfei Ding, Yan Wang, Guanfeng Liu:
Cross-heterogeneity Graph Few-shot Learning. 420-429 - Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. 430-440 - Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma:
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. 441-451 - Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks:
Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking. 452-462 - Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian:
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. 463-472 - Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen:
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. 473-482 - Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. 483-493 - Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng:
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. 494-503 - Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang:
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. 504-513 - Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. 514-523 - Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu:
Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. 524-534 - Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo, Kai Zheng:
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. 535-544 - Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. 545-555 - Vahid Ghafouri, Vibhor Agarwal, Yong Zhang, Nishanth Sastry, Jose M. Such, Guillermo Suarez-Tangil:
AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics. 556-565 - Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros:
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks. 566-576 - Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu:
Homophily-enhanced Structure Learning for Graph Clustering. 577-586 - Yunchuan Guan, Yu Liu, Ke Zhou, Junyuan Huang:
Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning. 587-596 - Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo:
KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. 597-607 - Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu:
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. 608-618 - Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav:
RoCourseNet: Robust Training of a Prediction Aware Recourse Model. 619-628 - Tong Guo, Xuanping Li, Haitao Yang, Xiao Liang, Yong Yuan, Jingyou Hou, Bingqing Ke, Chao Zhang, Junlin He, Shunyu Zhang, Enyun Yu, Wenwu Ou:
Query-dominant User Interest Network for Large-Scale Search Ranking. 629-638 - Aibo Guo, Xiang Zhao, Zhen Tan, Weidong Xiao:
MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition. 639-648 - Sihan Guo, Ting Bai, Weihong Deng:
Targeted Shilling Attacks on GNN-based Recommender Systems. 649-658 - Hao Guo, Weixin Zeng, Jiuyang Tang, Xiang Zhao:
Interpretable Fake News Detection with Graph Evidence. 659-668 - Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang:
Towards Fair Graph Neural Networks via Graph Counterfactual. 669-678 - Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal:
James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems. 679-688 - Sumin Han, Youngjun Park, Minji Lee, Jisun An, Dongman Lee:
Enhancing Spatio-temporal Traffic Prediction through Urban Human Activity Analysis. 689-698 - Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
On Root Cause Localization and Anomaly Mitigation through Causal Inference. 699-708 - Xinrui He, Tianxin Wei, Jingrui He:
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. 709-719 - Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley:
Large Language Models as Zero-Shot Conversational Recommenders. 720-730 - Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie, Min Zhang, Yiqun Liu:
Understanding User Immersion in Online Short Video Interaction. 731-740 - Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. 741-750 - Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora D. Salim, Mark Sanderson, Falk Scholer, Damiano Spina:
Designing and Evaluating Presentation Strategies for Fact-Checked Content. 751-761 - Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. 762-772 - Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He:
Search-Efficient Computerized Adaptive Testing. 773-782 - Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram:
SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. 783-792 - Zheng Hu, Satoshi Nakagawa, Liang Luo, Yu Gu, Fuji Ren:
Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation. 793-802 - Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, Jeff Z. Pan:
HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion. 803-812 - Haozhe Hu, Yongquan Jiang, Yan Yang, Jim X. Chen:
Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation. 813-822 - Qi Hu, Yangqiu Song:
Independent Distribution Regularization for Private Graph Embedding. 823-832 - Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu:
Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. 833-842 - Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan:
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. 843-853 - Ping-Chia Huang, Yueh-Li Chen, Yi-Syuan Liou, Bing-Chen Tsai, Chun-Chieh Wu, Winston H. Hsu:
STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in Precipitation Nowcasting for Heavy Rainfall Events. 854-863 - Chengzhi Huang, Hui Li:
Single-User Injection for Invisible Shilling Attack against Recommender Systems. 864-873 - Zixian Huang, Jiaying Zhou, Chenxu Niu, Gong Cheng:
Spans, Not Tokens: A Span-Centric Model for Multi-Span Reading Comprehension. 874-884 - Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li:
Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. 885-894 - Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim:
Deep Variational Bayesian Modeling of Haze Degradation Process. 895-904 - Myung-Hwan Jang, Yun-Yong Ko, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, Sang-Wook Kim:
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication. 923-933 - Lucas Jarnac, Miguel Couceiro, Pierre Monnin:
Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning. 934-944 - Hao Jiang, Chuanzhen Li, Juanjuan Cai, Runyu Tian, Jingling Wang:
Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation. 945-954 - Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang:
PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. 955-964 - Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan:
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. 965-975 - Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim:
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. 976-986 - Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim:
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. 987-996 - Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang:
A Momentum Loss Reweighting Method for Improving Recall. 997-1003 - Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang:
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. 1004-1013 - Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen:
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. 1014-1024 - Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon:
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. 1025-1034 - Hyeonsoo Jo, Fanchen Bu, Kijung Shin:
Robust Graph Clustering via Meta Weighting for Noisy Graphs. 1035-1044 - Xincheng Ju, Dong Zhang, Suyang Zhu, Junhui Li, Shoushan Li, Guodong Zhou:
Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training. 1045-1055 - Natan Kaminsky, Uriel Singer, Kira Radinsky:
CFOM: Lead Optimization For Drug Discovery With Limited Data. 1056-1066 - Efi Karra Taniskidou, Wenjie Zhao, Iain Murray, Roberto Pellegrini:
Nudging Neural Click Prediction Models to Pay Attention to Position. 1067-1076 - Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim:
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. 1077-1086 - Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. 1087-1096 - Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang:
Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. 1097-1106 - Narayanan Asuri Krishnan, Carlos R. Rivero:
A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings. 1107-1116 - Raghvendra Kumar, Ratul Chakraborty, Abhishek Tiwari, Sriparna Saha, Naveen Saini:
Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity. 1117-1126