| 2022 | 'It's on the tip of my tongue': A new Dataset for Known-Item Retrieval. Samarth Bhargav, Georgios Sidiropoulos, Evangelos Kanoulas |
| 2022 | A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He |
| 2022 | A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng |
| 2022 | A Counterfactual Modeling Framework for Churn Prediction. Guozhen Zhang, Jinwei Zeng, Zhengyue Zhao, Depeng Jin, Yong Li |
| 2022 | A GNN-based Multi-task Learning Framework for Personalized Video Search. Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu |
| 2022 | A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion. Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han |
| 2022 | A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting. Jiachuan Wang, Lei Chen, Charles Wang Wai Ng |
| 2022 | A Peep into the Future: Adversarial Future Encoding in Recommendation. Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2022 | A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism. Zhuo Chen, Baoxi Liu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu |
| 2022 | A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education. Zitao Liu |
| 2022 | A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction. Chao Wang, Jingping Liu, Tianyi Zhuang, Jiahang Li, Juntao Liu, Yanghua Xiao, Wei Wang, Rui Xie |
| 2022 | A Simple but Effective Bidirectional Framework for Relational Triple Extraction. Feiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li |
| 2022 | A Tutorial on Stance Detection. Dilek Küçük, Fazli Can |
| 2022 | AI & Public Data for Humanitarian and Emergency Response. Alejandro Jaimes |
| 2022 | ANTHEM: Attentive Hyperbolic Entity Model for Product Search. Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy |
| 2022 | Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie |
| 2022 | AdaptKT: A Domain Adaptable Method for Knowledge Tracing. Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su |
| 2022 | Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. Jiaqi Ma, Junwei Deng, Qiaozhu Mei |
| 2022 | Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini. Josh Devins, Julie Tibshirani, Jimmy Lin |
| 2022 | An Adaptive Unified Allocation Framework for Guaranteed Display Advertising. Xiao Cheng, Chuanren Liu, Liang Dai, Peng Zhang, Zhen Fang, Zhonglin Zu |
| 2022 | An Ensemble Model for Combating Label Noise. Yangdi Lu, Yang Bo, Wenbo He |
| 2022 | An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research. Juntao Su, Edward T. Dougherty, Shuang Jiang, Fang Jin |
| 2022 | An Unsupervised Detection Framework for Chinese Jargons in the Darknet. Liang Ke, Xinyu Chen, Haizhou Wang |
| 2022 | AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu |
| 2022 | Assessing Algorithmic Biases for Musical Version Identification. Furkan Yesiler, Marius Miron, Joan Serrà, Emilia Gómez |
| 2022 | Attributed Graph Modeling with Vertex Replacement Grammars. Satyaki Sikdar, Neil Shah, Tim Weninger |
| 2022 | Automating ETL and Mining of Ethereum Blockchain Network. Voon Hou Su, Sourav Sen Gupta, Arijit Khan |
| 2022 | Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases. Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum |
| 2022 | Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen |
| 2022 | Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive Modeling. Yan Fan, Chengyu Wang, Peng He, Yunhua Hu |
| 2022 | CAN: Feature Co-Action Network for Click-Through Rate Prediction. Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng |
| 2022 | CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang |
| 2022 | Causal Mediation Analysis with Hidden Confounders. Lu Cheng, Ruocheng Guo, Huan Liu |
| 2022 | Challenges in Data Production for AI with Human-in-the-Loop. Dmitry Ustalov |
| 2022 | Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas |
| 2022 | Cluster-Aware Heterogeneous Information Network Embedding. Rayyan Ahmad Khan, Martin Kleinsteuber |
| 2022 | Collaborative Curating for Discovery and Expansion of Visual Clusters. Dung D. Le, Hady W. Lauw |
| 2022 | ComGA: Community-Aware Attributed Graph Anomaly Detection. Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue |
| 2022 | Combinatorial Bandits under Strategic Manipulations. Jing Dong, Ke Li, Shuai Li, Baoxiang Wang |
| 2022 | Community Trend Prediction on Heterogeneous Graph in E-commerce. Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang |
| 2022 | ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2022 | Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang |
| 2022 | Contrastive Meta Learning with Behavior Multiplicity for Recommendation. Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin |
| 2022 | Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf. Michael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro |
| 2022 | Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement. Xiaotong Wu, Lianyong Qi, Xiaolong Xu, Shui Yu, Wanchun Dou, Xuyun Zhang |
| 2022 | C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu |
| 2022 | DAME: Domain Adaptation for Matching Entities. Mohamed Trabelsi, Jeff Heflin, Jin Cao |
| 2022 | Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel |
| 2022 | Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction. Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra |
| 2022 | Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs. Sahiti Labhishetty, ChengXiang Zhai, Min Xie, Lin Gong, Rahul Sharnagat, Satya Chembolu |
| 2022 | Differentially Private Ensemble Classifiers for Data Streams. Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho |
| 2022 | Directed Network Embedding with Virtual Negative Edges. Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim |
| 2022 | Diversified Query Generation Guided by Knowledge Graph. Xinyao Shen, Jiangjie Chen, Jiaze Chen, Chun Zeng, Yanghua Xiao |
| 2022 | Diversified Subgraph Query Generation with Group Fairness. Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu |
| 2022 | Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial Defenses. Han Xu |
| 2022 | Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model. Haruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto |
| 2022 | DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning. Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen |
| 2022 | Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction. Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang |
| 2022 | ESC-GAN: Extending Spatial Coverage of Physical Sensors. Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2022 | Efficient Graph Convolution for Joint Node Representation Learning and Clustering. Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2022 | Efficient Reachability Query with Extreme Labeling Filter. Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao |
| 2022 | Efficient Two-stage Label Noise Reduction for Retrieval-based Tasks. Mengmeng Kuang, Weiyan Wang, Zhenhong Chen, Lie Kang, Qiang Yan |
| 2022 | Enumerating Fair Packages for Group Recommendations. Ryoma Sato |
| 2022 | Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. Lu Cheng, Ruocheng Guo, Huan Liu |
| 2022 | Ethical Challenges in AI. Ricardo Baeza-Yates |
| 2022 | Evaluating Mixed-initiative Conversational Search Systems via User Simulation. Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani |
| 2022 | EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong |
| 2022 | Experiments with Predictive Long Term Guardrail Metrics. Sri Sri Perangur |
| 2022 | Exploration in Recommender Systems. Minmin Chen |
| 2022 | External Evaluation of Ranking Models under Extreme Position-Bias. Yaron Fairstein, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan |
| 2022 | Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic. Preslav Nakov, Giovanni Da San Martino, Firoj Alam |
| 2022 | Fair Graph Representation Learning with Imbalanced and Biased Data. Yu Wang |
| 2022 | Fair-SRS: A Fair Session-based Recommendation System. Naime Ranjbar Kermany, Jian Yang, Jia Wu, Luiz Pizzato |
| 2022 | Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei |
| 2022 | Fast Semantic Matching via Flexible Contextualized Interaction. Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin |
| 2022 | Few-shot Link Prediction in Dynamic Networks. Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang |
| 2022 | Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning. Ziwei Zhu, James Caverlee |
| 2022 | Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin |
| 2022 | Friend Story Ranking with Edge-Contextual Local Graph Convolutions. Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah |
| 2022 | From Uni-relational to Multi-relational Graph Neural Networks. Juanhui Li |
| 2022 | GAGE: Geometry Preserving Attributed Graph Embeddings. Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos |
| 2022 | GNNs for Node Clustering in Signed and Directed Networks. Yixuan He |
| 2022 | Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao |
| 2022 | GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning. Minjia Zhang, Wenhan Wang, Yuxiong He |
| 2022 | Graph Collaborative Reasoning. Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang |
| 2022 | Graph Embedding with Hierarchical Attentive Membership. Lu Lin, Ethan Blaser, Hongning Wang |
| 2022 | Graph Few-shot Class-incremental Learning. Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu |
| 2022 | Graph Minimally-supervised Learning. Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu |
| 2022 | Graph Neural Network Research at AWS AI. George Karypis |
| 2022 | Graph Neural Networks for Recommender System. Chen Gao, Xiang Wang, Xiangnan He, Yong Li |
| 2022 | Graph Neural Networks for the Global Economy with Microsoft DeepGraph. Jaewon Yang, Baoxu Shi, Alex Samylkin |
| 2022 | Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty |
| 2022 | Harvesting More Answer Spans from Paragraph beyond Annotation. Qiaoben Bao, Jiangjie Chen, Linfang Liu, Jingping Liu, Jiaqing Liang, Yanghua Xiao |
| 2022 | HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling. Shen Gao, Yuchi Zhang, Yongliang Wang, Yang Dong, Xiuying Chen, Dongyan Zhao, Rui Yan |
| 2022 | Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei |
| 2022 | Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation. Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He |
| 2022 | How Do You Test a Test?: A Multifaceted Examination of Significance Tests. Nicola Ferro, Mark Sanderson |
| 2022 | Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns. Xiaofei Xu, Ke Deng, Xiuzhen Zhang |
| 2022 | Improving Knowledge Tracing with Collaborative Information. Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2022 | Improving Personalized Search with Dual-Feedback Network. Chenlong Deng, Yujia Zhou, Zhicheng Dou |
| 2022 | Improving Session Search by Modeling Multi-Granularity Historical Query Change. Xiaochen Zuo, Zhicheng Dou, Ji-Rong Wen |
| 2022 | Improving Text Generation via Neural Discourse Planning. Alexander Chernyavskiy |
| 2022 | Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple Sources. Sixing Wu, Minghui Wang, Ying Li, Dawei Zhang, Zhonghai Wu |
| 2022 | Informed Multi-context Entity Alignment. Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou |
| 2022 | Interpretable Relation Learning on Heterogeneous Graphs. Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang |
| 2022 | Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings. Till Kletti, Jean-Michel Renders, Patrick Loiseau |
| 2022 | It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. Jin Huang, Harrie Oosterhuis, Maarten de Rijke |
| 2022 | Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network. Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng |
| 2022 | KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang |
| 2022 | Keyword Assisted Embedded Topic Model. Bahareh Harandizadeh, J. Hunter Priniski, Fred Morstatter |
| 2022 | Knowledge Enhanced Sports Game Summarization. Jiaan Wang, Zhixu Li, Tingyi Zhang, Duo Zheng, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen |
| 2022 | Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge. Yejin Choi |
| 2022 | Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders. Juntao Zhang, Nanzhou Lin, Xuelong Zhang, Wei Song, Xiandi Yang, Zhiyong Peng |
| 2022 | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2022 | Learning Fair Node Representations with Graph Counterfactual Fairness. Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li |
| 2022 | Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang |
| 2022 | Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning. Ali Montazeralghaem, James Allan |
| 2022 | Learning Transferable Node Representations for Attribute Extraction from Web Documents. Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata |
| 2022 | Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da |
| 2022 | Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng |
| 2022 | Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking. Chengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou, Yantao Jia, Lei Chen, Fan Yu, Zhao Cao |
| 2022 | Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky |
| 2022 | Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT. Yingrui Yang, Yifan Qiao, Jinjin Shao, Xifeng Yan, Tao Yang |
| 2022 | Linear, or Non-Linear, That is the Question! Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim |
| 2022 | Long Short-Term Temporal Meta-learning in Online Recommendation. Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin |
| 2022 | MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition. Bo Xu, Shizhou Huang, Chaofeng Sha, Hongya Wang |
| 2022 | MAVE: A Product Dataset for Multi-source Attribute Value Extraction. Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal |
| 2022 | MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly |
| 2022 | Mining Frequent Patterns on Knowledge Graphs. Lalla Mouatadid |
| 2022 | Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King |
| 2022 | Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu |
| 2022 | Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System. Da Xu, Chuanwei Ruan |
| 2022 | MonLAD: Money Laundering Agents Detection in Transaction Streams. Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng |
| 2022 | MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han |
| 2022 | MtCut: A Multi-Task Framework for Ranked List Truncation. Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao |
| 2022 | Multi-Resolution Attention for Personalized Item Search. Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng-Tze Cheng, Sagar Jain, Ed H. Chi, Ambuj K. Singh |
| 2022 | Multi-Scale Variational Graph AutoEncoder for Link Prediction. Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang |
| 2022 | Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning. Xiaoyun Zhao, Ning Yang, Philip S. Yu |
| 2022 | Near Real Time AI Personalization for Notifications at LinkedIn. Ajith Muralidharan |
| 2022 | Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction. Dai Quoc Nguyen, Vinh Tong, Dinh Q. Phung, Dat Quoc Nguyen |
| 2022 | Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang |
| 2022 | Obtaining Robust Models from Imbalanced Data. Wentao Wang |
| 2022 | On Generalizing Static Node Embedding to Dynamic Settings. Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra |
| 2022 | On Sampling Collaborative Filtering Datasets. Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley |
| 2022 | Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction. Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu |
| 2022 | POLE: Polarized Embedding for Signed Networks. Zexi Huang, Arlei Silva, Ambuj K. Singh |
| 2022 | Personalized Information Retrieval for Touristic Attractions in Augmented Reality. Felix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross |
| 2022 | Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining. Zhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song |
| 2022 | Personalized Transfer of User Preferences for Cross-domain Recommendation. Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He |
| 2022 | PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui |
| 2022 | Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang |
| 2022 | Predicting Users' Gender and Age based on Mobile Tasks. Yuan Tian |
| 2022 | Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality Attention. Chengcheng Mai, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Jian Liu, Chunfeng Yuan, Yihua Huang |
| 2022 | PrivacyCheck v3: Empowering Users with Higher-Level Understanding of Privacy Policies. Razieh Nokhbeh Zaeem, Ahmad Ahbab, Josh Bestor, Hussam H. Djadi, Sunny Kharel, Victor Lai, Nick Wang, K. Suzanne Barber |
| 2022 | Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. Zhenyi Wang, Huan Zhao, Chuan Shi |
| 2022 | Quality Assurance of a German COVID-19 Question Answering Systems using Component-based Microbenchmarking. Andreas Both, Paul Heinze, Aleksandr Perevalov, Johannes Richard Bartsch, Rostislav Iudin, Johannes Rudolf Herkner, Tim Schrader, Jonas Wunsch, René Gürth, Ann Kristin Falkenhain |
| 2022 | Query Interpretations from Entity-Linked Segmentations. Vaibhav Kasturia, Marcel Gohsen, Matthias Hagen |
| 2022 | RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong |
| 2022 | RLMob: Deep Reinforcement Learning for Successive Mobility Prediction. Ziyan Luo, Congcong Miao |
| 2022 | RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu |
| 2022 | Reconfiguration Problems on Submodular Functions. Naoto Ohsaka, Tatsuya Matsuoka |
| 2022 | Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim |
| 2022 | Rethink e-Commerce Search. Haixun Wang |
| 2022 | Retrieving Black-box Optimal Images from External Databases. Ryoma Sato |
| 2022 | Robust Graph Learning for Misbehavior Detection. Yingtong Dou |
| 2022 | S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee |
| 2022 | ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction. Liang Zhao, Min Gao, Zongwei Wang |
| 2022 | Sampling Multiple Nodes in Large Networks: Beyond Random Walks. Omri Ben-Eliezer, Talya Eden, Joel Oren, Dimitris Fotakis |
| 2022 | Scalable Attribute Extraction at Instacart. Shih-Ting Lin |
| 2022 | Scalable Graph Topology Learning via Spectral Densification. Yongyu Wang, Zhiqiang Zhao, Zhuo Feng |
| 2022 | Scope-aware Re-ranking with Gated Attention in Feed. Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu |
| 2022 | Search and Discovery in Personal Email Collections. Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
| 2022 | Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty |
| 2022 | Sentiment Analysis of Fashion Related Posts in Social Media. Yifei Yuan, Wai Lam |
| 2022 | Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce. Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser |
| 2022 | Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie |
| 2022 | Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | Structure Meets Sequences: Predicting Network of Co-evolving Sequences. Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong |
| 2022 | Studying Long-Term User Behaviour Using Dynamic Time Warping for Customer Retention. Harsha Gwalani |
| 2022 | Successes and Opportunities in Enterprise AI. Vijay K. Narayanan |
| 2022 | Supervised Advantage Actor-Critic for Recommender Systems. Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
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