| 2022 | How Hybrid Work Will Make Work More Intelligent. | Jaime Teevan |
| 2022 | Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. | Shahroz Tariq, Binh Minh Le, Simon S. Woo |
| 2022 | A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. | Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen, Peilin Chen |
| 2022 | Partial Relaxed Optimal Transport for Denoised Recommendation. | Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng |
| 2022 | Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network. | Shiyin Tan, Jingyi You, Dongyuan Li |
| 2022 | Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities. | Yihong Tang, Ao Qu, Andy H. F. Chow, William H. K. Lam, Sze Chun Wong, Wei Ma |
| 2022 | CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems. | Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang |
| 2022 | Geographical Address Models in the Indian e-Commerce. | Ravindra Babu Tallamraju |
| 2022 | RobustFed: A Truth Inference Approach for Robust Federated Learning. | Farnaz Tahmasebian, Jian Lou, Li Xiong |
| 2022 | EvalRS: a rounded evaluation of recommender systems. | Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia |
| 2022 | WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. | Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee |
| 2022 | TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. | Tomasz Szydlo, Prem Prakash Jayaraman, Yinhao Li, Graham Morgan, Rajiv Ranjan |
| 2022 | Cross-domain Recommendation via Adversarial Adaptation. | Hongzu Su, Yifei Zhang, Xuejiao Yang, Hua Hua, Shuangyang Wang, Jingjing Li |
| 2022 | Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction. | Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang |
| 2022 | DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. | Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An |
| 2022 | Confidence-Guided Learning Process for Continuous Classification of Time Series. | Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li |
| 2022 | Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification. | Mingze Sun, Weizhi Ma, Yang Liu |
| 2022 | Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. | Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu |
| 2022 | Serpens: Privacy-Preserving Inference through Conditional Separable of Convolutional Neural Networks. | Longlong Sun, Hui Li, Yanguo Peng, Jiangtao Cui |
| 2022 | Multi-Aspect Embedding of Dynamic Graphs. | Aimin Sun, Zhiguo Gong |
| 2022 | Improving Downstream Task Performance by Treating Numbers as Entities. | Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin |
| 2022 | PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. | Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan |
| 2022 | Learning and Mining with Noisy Labels. | Masashi Sugiyama, Tongliang Liu, Bo Han, Yang Liu, Gang Niu |
| 2022 | Targeted Influence with Community and Gender-Aware Seeding. | Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang |
| 2022 | Exploring and Analyzing Change: The Janus Project. | Divesh Srivastava, Tobias Bleifu, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann |