| 2022 | Near Real Time AI Personalization for Notifications at LinkedIn. | Ajith Muralidharan |
| 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 | The Rise of Data Observability: Architecting the Future of Data Trust. | Barr Moses |
| 2022 | Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning. | Ali Montazeralghaem, James Allan |
| 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 | Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. | Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel |
| 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 | 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 | Learning Fair Node Representations with Graph Counterfactual Fairness. | Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li |
| 2022 | Diversified Subgraph Query Generation with Group Fairness. | Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu |
| 2022 | VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. | Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming |
| 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 | RLMob: Deep Reinforcement Learning for Successive Mobility Prediction. | Ziyan Luo, Congcong Miao |
| 2022 | Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. | Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie |
| 2022 | The Multi-vehicle Ride-Sharing Problem. | Kelin Luo, Chaitanya Agarwal, Syamantak Das, Xiangyu Guo |
| 2022 | ComGA: Community-Aware Attributed Graph Anomaly Detection. | Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue |
| 2022 | An Ensemble Model for Combating Label Noise. | Yangdi Lu, Yang Bo, Wenbo He |
| 2022 | Improving Knowledge Tracing with Collaborative Information. | Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu |
| 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 | a2RegInf: An Interactive System for Maximizing Influence within Arbitrary Number of Arbitrary Shaped Query Regions. | Hui Li, Qiting Yang, Jiangtao Cui |
| 2022 | Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. | Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li |
| 2022 | A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education. | Zitao Liu |
| 2022 | Trustworthy Machine Learning: Fairness and Robustness. | Haochen Liu |
| 2022 | Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. | Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang |