| 2022 | 17th International Workshop on Mining and Learning with Graphs (MLG). Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi |
| 2022 | 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22). Chen Zhao, Feng Chen, Xintao Wu, Christopher Funk, Anthony Hoogs |
| 2022 | 1st Workshop on End-End Customer Journey Optimization. Neha Gupta, Zhenyu Zhao, Mert Bay, Anbang Xu, Faisal Farooq |
| 2022 | 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022). Da Yan, Catia Pesquita, Carsten Görg, Jake Y. Chen, Mohammed J. Zaki |
| 2022 | 2nd Workshop on Online and Adaptive Recommender Systems (OARS). Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem |
| 2022 | 3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science Talent. Usama M. Fayyad, Hamit Hamutcu |
| 2022 | 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang |
| 2022 | 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-Chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang |
| 2022 | 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka |
| 2022 | A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform. Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun |
| 2022 | A Fully Differentiable Set Autoencoder. Nikita Janakarajan, Jannis Born, Matteo Manica |
| 2022 | A Generalized Backward Compatibility Metric. Tomoya Sakai |
| 2022 | A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun |
| 2022 | A Graph Learning Based Framework for Billion-Scale Offline User Identification. Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou |
| 2022 | A Logic Aware Neural Generation Method for Explainable Data-to-text. Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang |
| 2022 | A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang |
| 2022 | A Model-Agnostic Approach to Differentially Private Topic Mining. Han Wang, Jayashree Sharma, Shuya Feng, Kai Shu, Yuan Hong |
| 2022 | A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social Networks. Liwang Zhu, Zhongzhi Zhang |
| 2022 | A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman |
| 2022 | A Practical Introduction to Federated Learning. Yaliang Li, Bolin Ding, Jingren Zhou |
| 2022 | A Process-Aware Decision Support System for Business Processes. Prerna Agarwal, Buyu Gao, Siyu Huo, Prabhat Reddy, Sampath Dechu, Yazan Obeidi, Vinod Muthusamy, Vatche Isahagian, Sebastian Carbajales |
| 2022 | A Spectral Representation of Networks: The Path of Subgraphs. Shengmin Jin, Hao Tian, Jiayu Li, Reza Zafarani |
| 2022 | A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling. Junyao Ye, Jingyong Su, Yilong Cao |
| 2022 | A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments. Ron Kohavi, Alex Deng, Lukas Vermeer |
| 2022 | ACM KDD AI4Cyber/MLHat: Workshop on AI-enabled Cybersecurity Analytics and Deployable Defense. Sagar Samtani, Gang Wang, Ali Ahmadzadeh, Arridhana Ciptadi, Shanchieh Yang, Hsinchun Chen |
| 2022 | AI for Social Impact: Results from Deployments for Public Health and Conversation. Milind Tambe |
| 2022 | ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich |
| 2022 | ASPIRE: Air Shipping Recommendation for E-commerce Products via Causal Inference Framework. Abhirup Mondal, Anirban Majumder, Vineet Chaoji |
| 2022 | Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow. Brad Rees, Xiaoyun Wang, Joe Eaton, Onur Yilmaz, Rick Ratzel, Dominique LaSalle |
| 2022 | Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang |
| 2022 | Active Model Adaptation Under Unknown Shift. Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yufeng Li |
| 2022 | Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li |
| 2022 | AdKDD 2022. Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie |
| 2022 | AdaAX: Explaining Recurrent Neural Networks by Learning Automata with Adaptive States. Dat Hong, Alberto Maria Segre, Tong Wang |
| 2022 | AdaFS: Adaptive Feature Selection in Deep Recommender System. Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu |
| 2022 | Adapting Pretrained Representations for Text Mining. Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2022 | Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen |
| 2022 | Adaptive Learning for Weakly Labeled Streams. Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2022 | Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream. Susik Yoon, Youngjun Lee, Jae-Gil Lee, Byung Suk Lee |
| 2022 | Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang |
| 2022 | Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis. Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang |
| 2022 | Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. Hima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-Équille, Abhijit Manatkar |
| 2022 | Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng |
| 2022 | Affective Signals in a Social Media Recommender System. Jane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin, Cristian Canton-Ferrer, Alon Y. Halevy |
| 2022 | Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan |
| 2022 | Algorithmic Fairness on Graphs: Methods and Trends. Jian Kang, Hanghang Tong |
| 2022 | Aligning Dual Disentangled User Representations from Ratings and Textual Content. Nhu-Thuat Tran, Hady W. Lauw |
| 2022 | Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi |
| 2022 | Amazon Shop the Look: A Visual Search System for Fashion and Home. Ming Du, Arnau Ramisa, Amit Kumar K. C, Sampath Chanda, Mengjiao Wang, Neelakandan Rajesh, Shasha Li, Yingchuan Hu, Tao Zhou, Nagashri Lakshminarayana, Son Tran, Doug Gray |
| 2022 | An Embedded Feature Selection Framework for Control. Jiawen Wei, Fangyuan Wang, Wanxin Zeng, Wenwei Lin, Ning Gui |
| 2022 | An Online Multi-task Learning Framework for Google Feed Ads Auction Models. Ning Ma, Mustafa Ispir, Yuan Li, Yongpeng Yang, Zhe Chen, Derek Zhiyuan Cheng, Lan Nie, Kishor Barman |
| 2022 | Analyzing Online Transaction Networks with Network Motifs. Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui |
| 2022 | Anomaly Detection for Spatiotemporal Data in Action. Guang Yang, Ninad Kulkarni, Paavani Dua, Dipika Khullar, Alex Anto Chirayath |
| 2022 | AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks. Tianyi Chen, Charalampos E. Tsourakakis |
| 2022 | Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model. Tianfan Fu, Jimeng Sun |
| 2022 | Applying Deep Learning Based Probabilistic Forecasting to Food Preparation Time for On-Demand Delivery Service. Chengliang Gao, Fan Zhang, Yue Zhou, Ronggen Feng, Qiang Ru, Kaigui Bian, Renqing He, Zhizhao Sun |
| 2022 | Arbitrary Distribution Modeling with Censorship in Real-Time Bidding Advertising. Xu Li, Michelle Ma Zhang, Zhenya Wang, Youjun Tong |
| 2022 | Ask to Know More: Generating Counterfactual Explanations for Fake Claims. Shih-Chieh Dai, Yi-Li Hsu, Aiping Xiong, Lun-Wei Ku |
| 2022 | Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback. Tong Jia, Ying Li, Yong Yang, Gang Huang, Zhonghai Wu |
| 2022 | AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System. Xiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian |
| 2022 | AutoShard: Automated Embedding Table Sharding for Recommender Systems. Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu |
| 2022 | Automated Machine Learning & Tuning with FLAML. Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla |
| 2022 | Automatic Controllable Product Copywriting for E-Commerce. Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | Automatic Generation of Product-Image Sequence in E-commerce. Xiaochuan Fan, Chi Zhang, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | Automatic Phenotyping by a Seed-guided Topic Model. Ziyang Song, Yuanyi Hu, Aman Verma, David L. Buckeridge, Yue Li |
| 2022 | Automatically Discovering User Consumption Intents in Meituan. Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li |
| 2022 | Availability Attacks Create Shortcuts. Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
| 2022 | Avoiding Biases due to Similarity Assumptions in Node Embeddings. Deepayan Chakrabarti |
| 2022 | BE3R: BERT based Early-Exit Using Expert Routing. Sourab Mangrulkar, Ankith M. S, Vivek Sembium |
| 2022 | BLISS: A Billion scale Index using Iterative Re-partitioning. Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J. Smola |
| 2022 | Balancing Bias and Variance for Active Weakly Supervised Learning. Hitesh Sapkota, Qi Yu |
| 2022 | Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. Tyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo |
| 2022 | Beyond Traditional Characterizations in the Age of Data: Big Models, Scalable Algorithms, and Meaningful Solutions. Shang-Hua Teng |
| 2022 | Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. Xiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han |
| 2022 | BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning. Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang |
| 2022 | CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong |
| 2022 | CERAM: Coverage Expansion for Recommendations by Associating Discarded Models. Yoshiki Matsune, Kota Tsubouchi, Nobuhiko Nishio |
| 2022 | CLARE: A Semi-supervised Community Detection Algorithm. Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu |
| 2022 | CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang |
| 2022 | COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation. Yashal Shakti Kanungo, Gyanendra Das, Pooja A, Sumit Negi |
| 2022 | CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation. Xiaoyu Wang, Bin Tan, Yonghui Guo, Tao Yang, Dongbo Huang, Lan Xu, Nikolaos M. Freris, Hao Zhou, Xiangyang Li |
| 2022 | COSSUM: Towards Conversation-Oriented Structured Summarization for Automatic Medical Insurance Assessment. Sheng Xu, Xiaojun Wan, Sen Hu, Mengdi Zhou, Teng Xu, Hongbin Wang, Haitao Mi |
| 2022 | COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King |
| 2022 | CS-RAD: Conditional Member Status Refinement and Ability Discovery for Social Network Applications. Yiming Ma |
| 2022 | Causal Attention for Interpretable and Generalizable Graph Classification. Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua |
| 2022 | Causal Discovery on Non-Euclidean Data. Jing Yang, Kai Xie, Ning An |
| 2022 | Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition. Mingjie Li, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei |
| 2022 | CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang |
| 2022 | CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi |
| 2022 | Characterizing Covid Waves via Spatio-Temporal Decomposition. Kevin Quinn, Evimaria Terzi, Mark Crovella |
| 2022 | ChemicalX: A Deep Learning Library for Drug Pair Scoring. Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori |
| 2022 | Classifying Multimodal Data Using Transformers. Watson W. K. Chua, Lu Li, Alvina Goh |
| 2022 | ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen |
| 2022 | Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics. Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Michal Osadnik |
| 2022 | CoRGi: Content-Rich Graph Neural Networks with Attention. Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zhang, Miltiadis Allamanis |
| 2022 | CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform. Rukma Talwadker, Surajit Chakrabarty, Aditya Pareek, Tridib Mukherjee, Deepak Saini |
| 2022 | Collaboration Equilibrium in Federated Learning. Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang |
| 2022 | Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu |
| 2022 | Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao |
| 2022 | CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang |
| 2022 | Communication-Efficient Robust Federated Learning with Noisy Labels. Junyi Li, Jian Pei, Heng Huang |
| 2022 | Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng |
| 2022 | Comprehensive Fair Meta-learned Recommender System. Tianxin Wei, Jingrui He |
| 2022 | Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu |
| 2022 | Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural Network. Shuai Peng, Di Fu, Yong Cao, Yijun Liang, Gu Xu, Liangcai Gao, Zhi Tang |
| 2022 | Condensing Graphs via One-Step Gradient Matching. Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin |
| 2022 | Connecting Low-Loss Subspace for Personalized Federated Learning. Seok-Ju Hahn, Minwoo Jeong, Junghye Lee |
| 2022 | Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks. Zhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen |
| 2022 | Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction. Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong |
| 2022 | Contrastive Cross-domain Recommendation in Matching. Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin |
| 2022 | Contrastive Learning with Complex Heterogeneity. Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He |
| 2022 | Core-periphery Models for Hypergraphs. Marios Papachristou, Jon M. Kleinberg |
| 2022 | Core-periphery Partitioning and Quantum Annealing. Catherine F. Higham, Desmond J. Higham, Francesco Tudisco |
| 2022 | Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering. Aseem Srivastava, Tharun Suresh, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen |
| 2022 | Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances. Yuta Saito, Thorsten Joachims |
| 2022 | Counterfactual Phenotyping with Censored Time-to-Events. Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski |
| 2022 | CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua |
| 2022 | Crowdsourcing with Contextual Uncertainty. Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar S. Arora, Udi Weinsberg, Michael Tingley |
| 2022 | DDR: Dialogue Based Doctor Recommendation for Online Medical Service. Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao |
| 2022 | DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation. Kailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen |
| 2022 | DI-2022: The Third Document Intelligence Workshop. Ani Nenkova, Douglas Burdick, Benjamin Han, Dave Lewis, Sandeep Tata, Dan Tecuci |
| 2022 | DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan |
| 2022 | DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders. Fariha Moomtaheen, Matthew Killeen, James T. Oswald, Anna Gonzàlez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, Petko Bogdanov |
| 2022 | DP-GAT: A Framework for Image-based Disease Progression Prediction. Alex Foo, Wynne Hsu, Mong-Li Lee, Gavin Siew Wei Tan |
| 2022 | Data Science and Artificial Intelligence for Responsible Recommendations. Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher |
| 2022 | Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang |
| 2022 | Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning. Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang |
| 2022 | Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi |
| 2022 | Debiasing Learning for Membership Inference Attacks Against Recommender Systems. Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren |
| 2022 | Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers. Khalil Damak, Sami Khenissi, Olfa Nasraoui |
| 2022 | Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan |
| 2022 | Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes. Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang |
| 2022 | Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai |
| 2022 | Deep Learning for Network Traffic Data. Manish Marwah, Martin F. Arlitt |
| 2022 | Deep Learning for Prognosis Using Task-fMRI: A Novel Architecture and Training Scheme. Ge Shi, Jason Smucny, Ian Davidson |
| 2022 | Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo |
| 2022 | Deep Representations for Time-varying Brain Datasets. Sikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh |
| 2022 | Deep Search Relevance Ranking in Practice. Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen D. Guo |
| 2022 | DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye |
| 2022 | Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang |
| 2022 | Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. Thomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani |
| 2022 | Design Domain Specific Neural Network via Symbolic Testing. Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi |
| 2022 | Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang |
| 2022 | Detecting Cash-out Users via Dense Subgraphs. Yingsheng Ji, Zheng Zhang, Xinlei Tang, Jiachen Shen, Xi Zhang, Guangwen Yang |
| 2022 | Device-cloud Collaborative Recommendation via Meta Controller. Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang |
| 2022 | Discovering Invariant and Changing Mechanisms from Data. Sarah Mameche, David Kaltenpoth, Jilles Vreeken |
| 2022 | Discovering Significant Patterns under Sequential False Discovery Control. Sebastian Dalleiger, Jilles Vreeken |
| 2022 | Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang |
| 2022 | Disentangled Ontology Embedding for Zero-shot Learning. Yuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen |
| 2022 | Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis |
| 2022 | DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation. Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar |
| 2022 | Domain Adaptation in Physical Systems via Graph Kernel. Haoran Li, Hanghang Tong, Yang Weng |
| 2022 | Domain Adaptation with Dynamic Open-Set Targets. Jun Wu, Jingrui He |
| 2022 | Downscaling Earth System Models with Deep Learning. Sungwon Park, Karandeep Singh, Arjun Nellikkattil, Elke Zeller, Tung-Duong Mai, Meeyoung Cha |
| 2022 | DuARE: Automatic Road Extraction with Aerial Images and Trajectory Data at Baidu Maps. Jianzhong Yang, Xiaoqing Ye, Bin Wu, Yanlei Gu, Ziyu Wang, Deguo Xia, Jizhou Huang |
| 2022 | DuIVA: An Intelligent Voice Assistant for Hands-free and Eyes-free Voice Interaction with the Baidu Maps App. Jizhou Huang, Haifeng Wang, Shiqiang Ding, Shaolei Wang |
| 2022 | Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification. Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai |
| 2022 | Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun |
| 2022 | Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems. Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li |
| 2022 | Dynamic Graph Segmentation for Deep Graph Neural Networks. Johan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He |
| 2022 | Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance. Carl Yang, Hongwen Song, Mingyue Tang, Leon Danon, Ymir Vigfusson |
| 2022 | EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li |
| 2022 | ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps. Jizhou Huang, Haifeng Wang, Yibo Sun, Yunsheng Shi, Zhengjie Huang, An Zhuo, Shikun Feng |
| 2022 | ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data. Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong |
| 2022 | EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing |
| 2022 | EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain. Bo Li, Qiang He, Liang Yuan, Feifei Chen, Lingjuan Lyu, Yun Yang |
| 2022 | Effective Social Network-Based Allocation of COVID-19 Vaccines. Jiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning S. Mortveit, Bryan L. Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy L. Wilson, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav V. Marathe |
| 2022 | Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling. Xingguang Chen, Fangyuan Zhang, Sibo Wang |
| 2022 | Efficient Join Order Selection Learning with Graph-based Representation. Jin Chen, GuanYu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng |
| 2022 | Efficient Machine Learning on Large-Scale Graphs. Parker Erickson, Victor E. Lee, Feng Shi, Jiliang Tang |
| 2022 | Efficient Orthogonal Multi-view Subspace Clustering. Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu |
| 2022 | Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang |
| 2022 | End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks. Ziran Xiong, Wanli Shi, Bin Gu |
| 2022 | Enhancing Machine Learning Approaches for Graph Optimization Problems with Diversifying Graph Augmentation. Chen-Hsu Yang, Chih-Ya Shen |
| 2022 | Epidemic Forecasting with a Data-Centric Lens. Alexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash |
| 2022 | Estimating Individualized Causal Effect with Confounded Instruments. Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang |
| 2022 | Evaluating Knowledge Graph Accuracy Powered by Optimized Human-machine Collaboration. Yifan Qi, Weiguo Zheng, Liang Hong, Lei Zou |
| 2022 | ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis. Seonggyeom Kim, Dong-Kyu Chae |
| 2022 | External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu |
| 2022 | Extracting Relevant Information from User's Utterances in Conversational Search and Recommendation. Ali Montazeralghaem, James Allan |
| 2022 | FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong |
| 2022 | Fair Labeled Clustering. Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach |
| 2022 | Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking. Yuta Saito, Thorsten Joachims |
| 2022 | Fair Representation Learning: An Alternative to Mutual Information. Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong |
| 2022 | Fair and Interpretable Models for Survival Analysis. Md. Mahmudur Rahman, Sanjay Purushotham |
| 2022 | Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams. Tasuku Kimura, Yasuko Matsubara, Koki Kawabata, Yasushi Sakurai |
| 2022 | Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang |
| 2022 | Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen |
| 2022 | Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv |
| 2022 | FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie |
| 2022 | FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. Jiayi Chen, Aidong Zhang |
| 2022 | FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy. Qiying Pan, Yifei Zhu |
| 2022 | FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2022 | Felicitas: Federated Learning in Distributed Cross Device Collaborative Frameworks. Qi Zhang, Tiancheng Wu, Peichen Zhou, Shan Zhou, Yuan Yang, Xiulang Jin |
| 2022 | Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. Jiaxin Huang, Yu Meng, Jiawei Han |
| 2022 | Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang |
| 2022 | Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng |
| 2022 | Finding Meta Winning Ticket to Train Your MAML. Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding |
| 2022 | First Workshop on Content Understanding and Generation for E-commerce. Sumit Negi, Manisha Verma, Rajdeep H. Banerjee, Pooja A, Lydia B. Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg |
| 2022 | Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles. Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder |
| 2022 | FlowGEN: A Generative Model for Flow Graphs. Furkan Kocayusufoglu, Arlei Silva, Ambuj K. Singh |
| 2022 | Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu |
| 2022 | Framing Algorithmic Recourse for Anomaly Detection. Debanjan Datta, Feng Chen, Naren Ramakrishnan |
| 2022 | FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks. Kaituo Feng, Changsheng Li, Ye Yuan, Guoren Wang |
| 2022 | Friend Recommendations with Self-Rescaling Graph Neural Networks. Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie |
| 2022 | Frontiers of Graph Neural Networks with DIG. Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu |
| 2022 | G2NET: A General Geography-Aware Representation Network for Hotel Search Ranking. Jia Xu, Fei Xiong, Zulong Chen, Mingyuan Tao, Liangyue Li, Quan Lu |
| 2022 | GBPNet: Universal Geometric Representation Learning on Protein Structures. Sarp Aykent, Tian Xia |
| 2022 | GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks. Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang |
| 2022 | GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks. Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li |
| 2022 | Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu |
| 2022 | Generalized Deep Mixed Models. Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Yunbo Ouyang, Qiang Charles Xiao, Qingquan Song, Yi (Alice) Wu, Haichao Wei, Huiji Gao |
| 2022 | Generating Examples from CLI Usage: Can Transformers Help? Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan |
| 2022 | Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling. Houxing Ren, Jingyuan Wang, Wayne Xin Zhao |
| 2022 | Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation. Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang |
| 2022 | Geometric Policy Iteration for Markov Decision Processes. Yue Wu, Jesús A. De Loera |
| 2022 | Global Self-Attention as a Replacement for Graph Convolution. Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian |
| 2022 | GradMask: Gradient-Guided Token Masking for Textual Adversarial Example Detection. Han Cheol Moon, Shafiq R. Joty, Xu Chi |
| 2022 | Gradual AutoML using Lale. Martin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay |
| 2022 | Graph Attention Multi-Layer Perceptron. Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui |
| 2022 | Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone |
| 2022 | Graph Neural Network Training and Data Tiering. Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu |
| 2022 | Graph Neural Networks for Multimodal Single-Cell Data Integration. Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang |
| 2022 | Graph Neural Networks in Life Sciences: Opportunities and Solutions. Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama |
| 2022 | Graph Neural Networks with Node-wise Architecture. Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding |
| 2022 | Graph Neural Networks: Foundation, Frontiers and Applications. Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo |
| 2022 | Graph Rationalization with Environment-based Augmentations. Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang |
| 2022 | Graph Structural Attack by Perturbing Spectral Distance. Lu Lin, Ethan Blaser, Hongning Wang |
| 2022 | Graph-Flashback Network for Next Location Recommendation. Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han |
| 2022 | Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy |
| 2022 | Graph-based Representation Learning for Web-scale Recommender Systems. Ahmed El-Kishky, Michael M. Bronstein, Ying Xiao, Aria Haghighi |
| 2022 | Graph-in-Graph Network for Automatic Gene Ontology Description Generation. Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang |
| 2022 | Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. Haomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan |
| 2022 | GraphMAE: Self-Supervised Masked Graph Autoencoders. Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang |
| 2022 | GraphWorld: Fake Graphs Bring Real Insights for GNNs. John Palowitch, Anton Tsitsulin, Brandon A. Mayer, Bryan Perozzi |
| 2022 | Greykite: Deploying Flexible Forecasting at Scale at LinkedIn. Reza Hosseini, Albert C. Chen, Kaixu Yang, Sayan Patra, Yi Su, Saad Eddin Al Orjany, Sishi Tang, Parvez Ahammad |
| 2022 | Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin |
| 2022 | HICF: Hyperbolic Informative Collaborative Filtering. Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King |
| 2022 | HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records. Hanyang Liu, Sunny S. Lou, Benjamin C. Warner, Derek R. Harford, Thomas George Kannampallil, Chenyang Lu |
| 2022 | HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang |
| 2022 | HoloViz: Visualization and Interactive Dashboards in Python. Sophia Yang, Marc Skov Madsen, James A. Bednar |
| 2022 | How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications. Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra |
| 2022 | Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. Alexander Nikitin, Samuel Kaski |
| 2022 | HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical Clustering. Eli Chien, Puoya Tabaghi, Olgica Milenkovic |
| 2022 | HyperLogLogLog: Cardinality Estimation With One Log More. Matti Karppa, Rasmus Pagh |
| 2022 | Hyperbolic Neural Networks: Theory, Architectures and Applications. Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy |
| 2022 | ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale. Gopinath Chennupati, Milind Rao, Gurpreet Chadha, Aaron Eakin, Anirudh Raju, Gautam Tiwari, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo, Andy Oberlin, Buddha Nandanoor, Prahalad Venkataramanan, Zheng Wu, Pankaj Sitpure |
| 2022 | Importance Prioritized Policy Distillation. Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma |
| 2022 | Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty. Christopher Tran, Elena Zheleva |
| 2022 | Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr |
| 2022 | Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang |
| 2022 | Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang |
| 2022 | In Defense of Core-set: A Density-aware Core-set Selection for Active Learning. Yeachan Kim, Bonggun Shin |
| 2022 | Incremental Cognitive Diagnosis for Intelligent Education. Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang |
| 2022 | Instant Graph Neural Networks for Dynamic Graphs. Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang |
| 2022 | Integrity Authentication in Tree Models. Weijie Zhao, Yingjie Lao, Ping Li |
| 2022 | Intelligent Request Strategy Design in Recommender System. Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu |
| 2022 | International Workshop on Data-driven Science of Science. Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang |
| 2022 | International Workshop on Knowledge Graphs: Open Knowledge Network. Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein |
| 2022 | Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana |
| 2022 | Interpretable Personalized Experimentation. Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel R. Jiang, Eytan Bakshy |
| 2022 | Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival. Zebin Chen, Xiaolin Xiao, Yue-Jiao Gong, Jun Fang, Nan Ma, Hua Chai, Zhiguang Cao |
| 2022 | Intrinsic-Motivated Sensor Management: Exploring with Physical Surprise. Jingyi Yuan, Yang Weng, Erik Blasch |
| 2022 | Invariant Preference Learning for General Debiasing in Recommendation. Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui |
| 2022 | ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg |
| 2022 | JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen |
| 2022 | Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng |
| 2022 | Joint Knowledge Graph Completion and Question Answering. Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong |
| 2022 | JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. Jian Kang, Qinghai Zhou, Hanghang Tong |
| 2022 | KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 Aidong Zhang, Huzefa Rangwala |
| 2022 | KDD Workshop on Machine Learning in Finance. Senthil Kumar, Leman Akoglu, Nitesh V. Chawla, Saurabh Nagrecha, Vidyut M. Naware, Tanveer A. Faruquie, Hays McCormick |
| 2022 | KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction. Han Li, Dan Zhao, Jianyang Zeng |
| 2022 | KRATOS: Context-Aware Cell Type Classification and Interpretation using Joint Dimensionality Reduction and Clustering. Zihan Zhou, Zijia Du, Somali Chaterji |
| 2022 | Knowledge Enhanced Search Result Diversification. Zhan Su, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen |
| 2022 | Knowledge-enhanced Black-box Attacks for Recommendations. Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang |
| 2022 | Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang |
| 2022 | Large-Scale Acoustic Automobile Fault Detection: Diagnosing Engines Through Sound. Dennis Fedorishin, Justas Birgiolas, Deen Dayal Mohan, Livio Forte, Philip Schneider, Srirangaraj Setlur, Venu Govindaraju |
| 2022 | Large-Scale Information Extraction under Privacy-Aware Constraints. Rajeev Gupta, Ranganath Kondapally |
| 2022 | LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma |
| 2022 | Learned Token Pruning for Transformers. Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer |
| 2022 | Learning Backward Compatible Embeddings. Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2022 | Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King |
| 2022 | Learning Causal Effects on Hypergraphs. Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan |
| 2022 | Learning Classifiers under Delayed Feedback with a Time Window Assumption. Shota Yasui, Masahiro Kato |
| 2022 | Learning Differential Operators for Interpretable Time Series Modeling. Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian |
| 2022 | Learning Fair Representation via Distributional Contrastive Disentanglement. Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song |
| 2022 | Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec |
| 2022 | Learning Models of Individual Behavior in Chess. Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson |
| 2022 | Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima |
| 2022 | Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series. Siho Han, Simon S. Woo |
| 2022 | Learning Supplementary NLP Features for CTR Prediction in Sponsored Search. Dong Wang, Shaoguang Yan, Yunqing Xia, Kavé Salamatian, Weiwei Deng, Qi Zhang |
| 2022 | Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu |
| 2022 | Learning on Graphs with Out-of-Distribution Nodes. Yu Song, Donglin Wang |
| 2022 | Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting. Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong |
| 2022 | Learning to Discover Causes of Traffic Congestion with Limited Labeled Data. Mudan Wang, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li |
| 2022 | Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting. Weiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, Liang Sun |
| 2022 | LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs. Zijian Huang, Meng-Fen Chiang, Wang-Chien Lee |
| 2022 | Lion: A GPU-Accelerated Online Serving System for Web-Scale Recommendation at Baidu. Hao Liu, Qian Gao, Xiaochao Liao, Guangxing Chen, Hao Xiong, Silin Ren, Guobao Yang, Zhiwei Zha |
| 2022 | Local Evaluation of Time Series Anomaly Detection Algorithms. Alexis Huet, José Manuel Navarro, Dario Rossi |
| 2022 | Looper: An End-to-End ML Platform for Product Decisions. Igor L. Markov, Hanson Wang, Nitya S. Kasturi, Shaun Singh, Mia R. Garrard, Yin Huang, Sze Wai Celeste Yuen, Sarah Tran, Zehui Wang, Igor Glotov, Tanvi Gupta, Peng Chen, Boshuang Huang, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou |
| 2022 | Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space. Bo Hui, Wei-Shinn Ku |
| 2022 | M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu |
| 2022 | M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao |
| 2022 | MDP2 Forest: A Constrained Continuous Multi-dimensional Policy Optimization Approach for Short-video Recommendation. Sizhe Yu, Ziyi Liu, Shixiang Wan, Jia Zheng, Zang Li, Fan Zhou |
| 2022 | ML4S: Learning Causal Skeleton from Vicinal Graphs. Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang |
| 2022 | MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting. Dachuan Liu, Jin Wang, Shuo Shang, Peng Han |
| 2022 | MT-FlowFormer: A Semi-Supervised Flow Transformer for Encrypted Traffic Classification. Ruijie Zhao, Xianwen Deng, Zhicong Yan, Jun Ma, Zhi Xue, Yijun Wang |
| 2022 | Machine Learning for Materials Science (MLMS). Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Ankit Agrawal |
| 2022 | Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma |
| 2022 | Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang |
| 2022 | Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh |
| 2022 | Medical Dialogue Response Generation with Pivotal Information Recalling. Yu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu, Qingcai Chen, Xiaolong Wang, Yuxin Ding, Min Zhang |
| 2022 | Medical Symptom Detection in Intelligent Pre-Consultation Using Bi-directional Hard-Negative Noise Contrastive Estimation. Shiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, Yefeng Zheng |
| 2022 | Meta-Learned Metrics over Multi-Evolution Temporal Graphs. Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He |
| 2022 | MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction. Yuan Xu, Jiajie Xu, Jing Zhao, Kai Zheng, An Liu, Lei Zhao, Xiaofang Zhou |
| 2022 | MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting. Xudong Pan, Yifan Yan, Mi Zhang, Min Yang |
| 2022 | MetroGAN: Simulating Urban Morphology with Generative Adversarial Network. Weiyu Zhang, Yiyang Ma, Di Zhu, Lei Dong, Yu Liu |
| 2022 | Minimizing Congestion for Balanced Dominators. Yosuke Mizutani, Annie Staker, Blair D. Sullivan |
| 2022 | Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning. Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou |
| 2022 | Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling. Zhenhui Xu, Meng Zhao, Liqun Liu, Lei Xiao, Xiaopeng Zhang, Bifeng Zhang |
| 2022 | Model Degradation Hinders Deep Graph Neural Networks. Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui |
| 2022 | Model Monitoring in Practice: Lessons Learned and Open Challenges. Krishnaram Kenthapadi, Himabindu Lakkaraju, Pradeep Natarajan, Mehrnoosh Sameki |
| 2022 | Modeling Network-level Traffic Flow Transitions on Sparse Data. Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei |
| 2022 | Modeling Persuasion Factor of User Decision for Recommendation. Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li |
| 2022 | Modern Theoretical Tools for Designing Information Retrieval System. Da Xu, Chuanwei Ruan |
| 2022 | MolSearch: Search-based Multi-objective Molecular Generation and Property Optimization. Mengying Sun, Jing Xing, Han Meng, Huijun Wang, Bin Chen, Jiayu Zhou |
| 2022 | Motif Prediction with Graph Neural Networks. Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler |
| 2022 | Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power Perspectives. Ding Xiang, Rebecca West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang |
| 2022 | Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong |
| 2022 | Multi-Aspect Dense Retrieval. Weize Kong, Swaraj Khadanga, Cheng Li, Shaleen Kumar Gupta, Mingyang Zhang, Wensong Xu, Michael Bendersky |
| 2022 | Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li |
| 2022 | Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems. Qihua Zhang, Junning Liu, Yuzhuo Dai, Yiyan Qi, Yifan Yuan, Kunlun Zheng, Fan Huang, Xianfeng Tan |
| 2022 | Multi-Variate Time Series Forecasting on Variable Subsets. Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran |
| 2022 | Multi-View Clustering for Open Knowledge Base Canonicalization. Wei Shen, Yang Yang, Yinan Liu |
| 2022 | Multi-fidelity Hierarchical Neural Processes. Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu |
| 2022 | Multi-modal Siamese Network for Entity Alignment. Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen |
| 2022 | Multi-objective Optimization of Notifications Using Offline Reinforcement Learning. Prakruthi Prabhakar, Yiping Yuan, Guangyu Yang, Wensheng Sun, Ajith Muralidharan |
| 2022 | Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. Han Yue, Steve Q. Xia, Hongfu Liu |
| 2022 | Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | Multilingual Taxonomic Web Page Classification for Contextual Targeting at Yahoo. Eric Ye, Xiao Bai, Neil O'Hare, Eliyar Asgarieh, Kapil Thadani, Francisco Perez-Sorrosal, Sujyothi Adiga |
| 2022 | Multimodal AutoML for Image, Text and Tabular Data. Nick Erickson, Xingjian Shi, James Sharpnack, Alexander J. Smola |
| 2022 | Multiplex Heterogeneous Graph Convolutional Network. Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong |
| 2022 | Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data. Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri |
| 2022 | NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | Neural Bandit with Arm Group Graph. Yunzhe Qi, Yikun Ban, Jingrui He |
| 2022 | New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han |
| 2022 | Nimble GNN Embedding with Tensor-Train Decomposition. Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc |
| 2022 | No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie |
| 2022 | Noisy Interactive Graph Search. Qianhao Cong, Jing Tang, Kai Han, Yuming Huang, Lei Chen, Yeow Meng Chee |
| 2022 | Non-stationary A/B Tests. Yuhang Wu, Zeyu Zheng, Guangyu Zhang, Zuohua Zhang, Chu Wang |
| 2022 | Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction. Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu |
| 2022 | Nonlinearity Encoding for Extrapolation of Neural Networks. Gyoung S. Na, Chanyoung Park |
| 2022 | Numerical Tuple Extraction from Tables with Pre-training. Qingping Yang, Yixuan Cao, Ping Luo |
| 2022 | NxtPost: User To Post Recommendations In Facebook Groups. Kaushik Rangadurai, Yiqun Liu, Siddarth Malreddy, Xiaoyi Liu, Piyush Maheshwari, Vishwanath Sangale, Fedor Borisyuk |
| 2022 | OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang |
| 2022 | On Aligning Tuples for Regression. Chenguang Fang, Shaoxu Song, Yinan Mei, Ye Yuan, Jianmin Wang |
| 2022 | On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification. Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski |
| 2022 | On Structural Explanation of Bias in Graph Neural Networks. Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li |
| 2022 | On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption. Yikai Yan, Chaoyue Niu, Renjie Gu, Fan Wu, Shaojie Tang, Lifeng Hua, Chengfei Lyu, Guihai Chen |
| 2022 | Online Clustering: Algorithms, Evaluation, Metrics, Applications and Benchmarking. Jacob Montiel, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet |
| 2022 | Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction. Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2022 | Optimal Interpretable Clustering Using Oblique Decision Trees. Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán |
| 2022 | Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning. Jiahui Sun, Haiming Jin, Zhaoxing Yang, Lu Su, Xinbing Wang |
| 2022 | PAC-Wrap: Semi-Supervised PAC Anomaly Detection. Shuo Li, Xiayan Ji, Edgar Dobriban, Oleg Sokolsky, Insup Lee |
| 2022 | PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions. Ehsan Gholami, Mohammad Motamedi, Ashwin Aravindakshan |
| 2022 | PECOS: Prediction for Enormous and Correlated Output Spaces. Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh |
| 2022 | Packet Representation Learning for Traffic Classification. Xuying Meng, Yequan Wang, Runxin Ma, Haitong Luo, Xiang Li, Yujun Zhang |
| 2022 | Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation. Weili Shi, Ronghang Zhu, Sheng Li |
| 2022 | Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery. Wei Liu, Yi Ding, Shuai Wang, Yu Yang, Desheng Zhang |
| 2022 | Partial Label Learning with Discrimination Augmentation. Wei Wang, Min-Ling Zhang |
| 2022 | Partial Label Learning with Semantic Label Representations. Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang |
| 2022 | Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality. Chengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui |
| 2022 | Perioperative Predictions with Interpretable Latent Representation. Bing Xue, York Jiao, Thomas George Kannampallil, Bradley A. Fritz, Christopher Ryan King, Joanna Abraham, Michael Avidan, Chenyang Lu |
| 2022 | Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu |
| 2022 | Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan |
| 2022 | Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks. Shengyu Chen, Jacob A. Zwart, Xiaowei Jia |
| 2022 | Physics-infused Machine Learning for Crowd Simulation. Guozhen Zhang, Zihan Yu, Depeng Jin, Yong Li |
| 2022 | PinnerFormer: Sequence Modeling for User Representation at Pinterest. Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg |
| 2022 | Practical Counterfactual Policy Learning for Top-K Recommendations. Yaxu Liu, Jui-Nan Yen, Bo-Wen Yuan, Rundong Shi, Peng Yan, Chih-Jen Lin |
| 2022 | Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang |
| 2022 | Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu |
| 2022 | Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning. Tao Feng, Tong Xia, Xiaochen Fan, Huandong Wang, Zefang Zong, Yong Li |
| 2022 | Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning. Jiahao Ji, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng |
| 2022 | Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM. Changchang Yin, Sayoko E. Moroi, Ping Zhang |
| 2022 | Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry. Dovile Juodelyte, Veronika Cheplygina, Therese Graversen, Philippe Bonnet |
| 2022 | Predicting Opinion Dynamics via Sociologically-Informed Neural Networks. Maya Okawa, Tomoharu Iwata |
| 2022 | Pretraining Representations of Multi-modal Multi-query E-commerce Search. Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng |
| 2022 | Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko |
| 2022 | Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits. Marco Mussi, Gianmarco Genalti, Francesco Trovò, Alessandro Nuara, Nicola Gatti, Marcello Restelli |
| 2022 | ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. Vinayak Gupta, Srikanta Bedathur |
| 2022 | Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization. Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | Profiling Deep Learning Workloads at Scale using Amazon SageMaker. Nathalie Rauschmayr, Sami Kama, Muhyun Kim, Miyoung Choi, Krishnaram Kenthapadi |
| 2022 | Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce. Eleanor Loh, Jalaj Khandelwal, Brian Regan, Duncan A. Little |
| 2022 | Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li |
| 2022 | Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou |
| 2022 | RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning. Zefang Zong, Hansen Wang, Jingwei Wang, Meng Zheng, Yong Li |
| 2022 | RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks. Azza H. Ahmed, Michael A. Riegler, Steven Alexander Hicks, Ahmed Elmokashfi |
| 2022 | RES: A Robust Framework for Guiding Visual Explanation. Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao |
| 2022 | RGVisNet: A Hybrid Retrieval-Generation Neural Framework Towards Automatic Data Visualization Generation. Yuanfeng Song, Xuefang Zhao, Raymond Chi-Wing Wong, Di Jiang |
| 2022 | RL2: A Call for Simultaneous Representation Learning and Rule Learning for Graph Streams. Qu Liu, Tingjian Ge |
| 2022 | RLogic: Recursive Logical Rule Learning from Knowledge Graphs. Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun |
| 2022 | ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng |
| 2022 | ROLAND: Graph Learning Framework for Dynamic Graphs. Jiaxuan You, Tianyu Du, Jure Leskovec |
| 2022 | RT-VeD: Real-Time VoI Detection on Edge Nodes with an Adaptive Model Selection Framework. Shuai Wang, Junke Lu, Baoshen Guo, Zheng Dong |
| 2022 | Rapid Regression Detection in Software Deployments through Sequential Testing. Michael Lindon, Chris Sanden, Vaché Shirikian |
| 2022 | Rax: Composable Learning-to-Rank Using JAX. Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork |
| 2022 | Real-Time Rideshare Driver Supply Values Using Online Reinforcement Learning. Benjamin Han, Hyungjun Lee, Sébastien Martin |
| 2022 | Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping. Jongkyung Shin, Changhun Lee, Chiehyeon Lim, Yunmo Shin, Junseok Lim |
| 2022 | Reducing the Friction for Building Recommender Systems with Merlin. Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer |
| 2022 | Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space. Yu Sha, Shuiping Gou, Johannes Faber, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou |
| 2022 | Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network. Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li |
| 2022 | Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu |
| 2022 | Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks. Leonie von Wahl, Nicolas Tempelmeier, Ashutosh Sao, Elena Demidova |
| 2022 | Reinforcement Subgraph Reasoning for Fake News Detection. Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie |
| 2022 | Releasing Private Data for Numerical Queries. Yuan Qiu, Wei Dong, Ke Yi, Bin Wu, Feifei Li |
| 2022 | Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He |
| 2022 | Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang |
| 2022 | ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce. Shaowei Yao, Jiwei Tan, Xi Chen, Juhao Zhang, Xiaoyi Zeng, Keping Yang |
| 2022 | Representative Routes Discovery from Massive Trajectories. Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei |
| 2022 | Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Wenbo Sheng, Shaodian Zhang, Yong Yu |
| 2022 | RetroGraph: Retrosynthetic Planning with Graph Search. Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin |
| 2022 | Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono |
| 2022 | Robust Event Forecasting with Spatiotemporal Confounder Learning. Songgaojun Deng, Huzefa Rangwala, Yue Ning |
| 2022 | Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar |
| 2022 | Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation. Zhebin Wu, Lin Shu, Ziyue Xu, Yaomin Chang, Chuan Chen, Zibin Zheng |
| 2022 | Robust Time Series Analysis and Applications: An Industrial Perspective. Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun |
| 2022 | Robust and Informative Text Augmentation (RITA) via Constrained Worst-Case Transformations for Low-Resource Named Entity Recognition. Hyunwoo Sohn, Baekkwan Park |
| 2022 | S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu |
| 2022 | SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore |
| 2022 | SIPF: Sampling Method for Inverse Protein Folding. Tianfan Fu, Jimeng Sun |
| 2022 | SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans |
| 2022 | SOS: Score-based Oversampling for Tabular Data. Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho |
| 2022 | SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss. Ying Wei, Qi Li |
| 2022 | Saliency-Regularized Deep Multi-Task Learning. Guangji Bai, Liang Zhao |
| 2022 | Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu |
| 2022 | Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou |
| 2022 | Scalable Differentially Private Clustering via Hierarchically Separated Trees. Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Muñoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii |
| 2022 | Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning. Weijie He, Ting Chen |
| 2022 | Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun |
| 2022 | Scale Calibration of Deep Ranking Models. Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting. Yilun Jin, Kai Chen, Qiang Yang |
| 2022 | Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at Bing. Xiaoyu Kou, Tianqi Zhao, Fan Zhang, Song Li, Qi Zhang |
| 2022 | Self-Supervised Hypergraph Transformer for Recommender Systems. Lianghao Xia, Chao Huang, Chuxu Zhang |
| 2022 | Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation. Rajdeep Sarkar, Sourav Dutta, Haytham Assem, Mihael Arcan, John P. McCrae |
| 2022 | Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen |
| 2022 | Semantic Retrieval at Walmart. Alessandro Magnani, Feng Liu, Suthee Chaidaroon, Sachin Yadav, Praveen Reddy Suram, Ajit Puthenputhussery, Sijie Chen, Min Xie, Anirudh Kashi, Tony Lee, Ciya Liao |
| 2022 | Semi-supervised Drifted Stream Learning with Short Lookback. Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu |
| 2022 | Septor: Seismic Depth Estimation Using Hierarchical Neural Networks. M. Ashraf Siddiquee, Vinícius M. A. de Souza, Glenn Eli Baker, Abdullah Mueen |
| 2022 | Seq2Event: Learning the Language of Soccer Using Transformer-based Match Event Prediction. Ian Simpson, Ryan J. Beal, Duncan Locke, Timothy J. Norman |
| 2022 | Service Time Prediction for Delivery Tasks via Spatial Meta-Learning. Sijie Ruan, Cheng Long, Zhipeng Ma, Jie Bao, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng |
| 2022 | Shallow and Deep Non-IID Learning on Complex Data. Longbing Cao, Philip S. Yu, Zhilin Zhao |
| 2022 | SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data. Hyunsung Kim, Bit Kim, Dongwook Chung, Jinsung Yoon, Sang-Ki Ko |
| 2022 | Solar: Science of Entity Loss Attribution. Anshuman Mourya, Prateek Sircar, Anirban Majumder, Deepak Gupta |
| 2022 | Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach. Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang |
| 2022 | Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao |
| 2022 | Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition. Yinghao Li, Le Song, Chao Zhang |
| 2022 | Sparx: Distributed Outlier Detection at Scale. Sean Zhang, Varun Ursekar, Leman Akoglu |
| 2022 | Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer. Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang |
| 2022 | Spatio-Temporal Trajectory Similarity Learning in Road Networks. Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, Christian S. Jensen |
| 2022 | Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data. Fudan Yu, Wenxuan Ao, Huan Yan, Guozhen Zhang, Wei Wu, Yong Li |
| 2022 | Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer. Minrui Wang, Mingxiao Feng, Wengang Zhou, Houqiang Li |
| 2022 | State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation. Zijian Shi, John Cartlidge |
| 2022 | Streaming Graph Neural Networks with Generative Replay. Junshan Wang, Wenhao Zhu, Guojie Song, Liang Wang |
| 2022 | Streaming Hierarchical Clustering Based on Point-Set Kernel. Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li |
| 2022 | Submodular Feature Selection for Partial Label Learning. Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang |
| 2022 | Subset Node Anomaly Tracking over Large Dynamic Graphs. Xingzhi Guo, Baojian Zhou, Steven Skiena |
| 2022 | Sufficient Vision Transformer. Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu |
| 2022 | Surrogate for Long-Term User Experience in Recommender Systems. Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen |
| 2022 | Synthesising Audio Adversarial Examples for Automatic Speech Recognition. Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma |
| 2022 | T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling. Yiren Jian, Erik Kruus, Martin Renqiang Min |
| 2022 | TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen |
| 2022 | TARNet: Task-Aware Reconstruction for Time-Series Transformer. Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong |
| 2022 | Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong |
| 2022 | Task-Adaptive Few-shot Node Classification. Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li |
| 2022 | Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations. Bulou Liu, Bing Bai, Weibang Xie, Yiwen Guo, Hao Chen |
| 2022 | TaxoTrans: Taxonomy-Guided Entity Translation. Zhuliu Li, Yiming Wang, Xiao Yan, Weizhi Meng, Yanen Li, Jaewon Yang |
| 2022 | Temporal Graph Learning for Financial World: Algorithms, Scalability, Explainability & Fairness. Nitendra Rajput, Karamjit Singh |
| 2022 | Temporal Multimodal Multivariate Learning. Hyoshin Park, Justice Darko, Niharika Deshpande, Venktesh Pandey, Hui Su, Masahiro Ono, Dedrick Barkely, Larkin Folsom, Derek J. Posselt, Steve A. Chien |
| 2022 | The 11th International Workshop on Urban Computing. Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson |
| 2022 | The 5th Artificial Intelligence of Things (AIoT) Workshop. Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl |
| 2022 | The Battlefront of Combating Misinformation and Coping with Media Bias. Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji |
| 2022 | The DipEncoder: Enforcing Multimodality in Autoencoders. Collin Leiber, Lena G. M. Bauer, Michael Neumayr, Claudia Plant, Christian Böhm |
| 2022 | The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022). Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu |
| 2022 | The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model Learning. Orit Davidovich, Gheorghe-Teodor Bercea, Segev Wasserkrug |
| 2022 | The KDD 2022 Workshop on Causal Discovery (CD2022). Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu |
| 2022 | The Power of (Statistical) Relational Thinking. Lise Getoor |
| 2022 | The Sixth International Workshop on Automation in Machine Learning. Patrick Koch, Brett Wujek, Jun Liu, Jun Huan, Tao Wang |
| 2022 | Three-Stage Root Cause Analysis for Logistics Time Efficiency via Explainable Machine Learning. Shiqi Hao, Yang Liu, Yu Wang, Yuan Wang, Wenming Zhe |
| 2022 | Toolkit for Time Series Anomaly Detection. Dhaval Patel, Dzung Phan, Markus Mueller, Amaresh Rajasekharan |
| 2022 | Toward Graph Minimally-Supervised Learning. Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu |
| 2022 | Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation. Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing |
| 2022 | Toward Real-life Dialogue State Tracking Involving Negative Feedback Utterances. Puhai Yang, Heyan Huang, Wei Wei, Xian-Ling Mao |
| 2022 | Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang |
| 2022 | Towards Learning Disentangled Representations for Time Series. Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu |
| 2022 | Towards Reliable Detection of Dielectric Hotspots in Thermal Images of the Underground Distribution Network. François Mirallès, Luc Cauchon, Marc-André Magnan, François Grégoire, Mouhamadou Makhtar Dione, Arnaud Zinflou |
| 2022 | Towards Representation Alignment and Uniformity in Collaborative Filtering. Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma |
| 2022 | Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao |
| 2022 | Towards Universal Sequence Representation Learning for Recommender Systems. Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen |
| 2022 | Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach. Ge Yan, Yehui Tang, Junchi Yan |
| 2022 | Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. Zixing Song, Yifei Zhang, Irwin King |
| 2022 | Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie |
| 2022 | TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi |
| 2022 | TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui |
| 2022 | Transfer Learning based Search Space Design for Hyperparameter Tuning. Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui |
| 2022 | Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang |
| 2022 | TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi |
| 2022 | Type Linking for Query Understanding and Semantic Search. Giorgos Stoilos, Nikos Papasarantopoulos, Pavlos Vougiouklis, Patrik Bansky |
| 2022 | UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. Yang Liu, Xiang Ao, Fuli Feng, Qing He |
| 2022 | Ultrahyperbolic Knowledge Graph Embeddings. Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab |
| 2022 | Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao |
| 2022 | Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture Model. Yunfei Lu, Peng Cui, Linyun Yu, Lei Li, Wenwu Zhu |
| 2022 | Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie |
| 2022 | Unified 2D and 3D Pre-Training of Molecular Representations. Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu |
| 2022 | Unsupervised Key Event Detection from Massive Text Corpora. Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han |
| 2022 | Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang |
| 2022 | User Behavior Pre-training for Online Fraud Detection. Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, Xiang Ao |
| 2022 | User Engagement in Mobile Health Applications. Babaniyi Yusuf Olaniyi, Ana Fernández del Río, África Periáñez, Lauren Bellhouse |
| 2022 | User-Event Graph Embedding Learning for Context-Aware Recommendation. Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming |
| 2022 | User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking. Chenxu Zhu, Peng Du, Xianghui Zhu, Weinan Zhang, Yong Yu, Yang Cao |
| 2022 | Variational Flow Graphical Model. Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li |
| 2022 | Variational Graph Author Topic Modeling. Delvin Ce Zhang, Hady Wirawan Lauw |
| 2022 | Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation. Danning Lao, Xinyu Yang, Qitian Wu, Junchi Yan |
| 2022 | Vexation-Aware Active Learning for On-Menu Restaurant Dish Availability. Jean-François Kagy, Flip Korn, Afshin Rostamizadeh, Chris Welty |
| 2022 | Visualization in Data Science VDS @ KDD 2022. Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan |
| 2022 | What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? Hangwei Qian, Tian Tian, Chunyan Miao |
| 2022 | What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker? Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters |
| 2022 | Why Data Scientists Prefer Glassbox Machine Learning: Algorithms, Differential Privacy, Editing and Bias Mitigation. Rich Caruana, Harsha Nori |
| 2022 | Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI. Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner |
| 2022 | Workshop on Applied Machine Learning Management. Dmitri Goldenberg, Elena Sokolova, Shir Meir Lador, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain |
| 2022 | XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation. Jifan Yu, Xiaohan Zhang, Yifan Xu, Xuanyu Lei, Xinyu Guan, Jing Zhang, Lei Hou, Juanzi Li, Jie Tang |
| 2022 | concept2code: Deep Reinforcement Learning for Conversational AI. Omprakash Sonie, Abir Chakraborty, Ankan Mullick |
| 2022 | epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2022 | p-Meta: Towards On-device Deep Model Adaptation. Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele |
| 2022 | pureGAM: Learning an Inherently Pure Additive Model. Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang |