| 2024 | When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks. | Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou |
| 2024 | Expressiveness is Effectiveness: Self-supervised Fashion-aware CLIP for Video-to-Shop Retrieval. | Likai Tian, Zhengwei Yang, Zechao Hu, Hao Li, Yifang Yin, Zheng Wang |
| 2024 | Optimisation and Approximation in Abstract Argumentation: The Case of Stable Semantics. | Matthias Thimm |
| 2024 | A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction. | Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan |
| 2024 | Imperfect-Recall Games: Equilibrium Concepts and Their Complexity. | Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld, Manolis Zampetakis, Tuomas Sandholm, Paul Goldberg, Vincent Conitzer |
| 2024 | Game Transformations That Preserve Nash Equilibria or Best-Response Sets. | Emanuel Tewolde, Vincent Conitzer |
| 2024 | Redefining Contributions: Shapley-Driven Federated Learning. | Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horvth, Karthik Nandakumar |
| 2024 | SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data. | Shuting Tao, Tongtian Zhu, Hongwei Wang, Xiangming Meng |
| 2024 | Deep Hierarchical Graph Alignment Kernels. | Shuhao Tang, Hao Tian, Xiaofeng Cao, Wei Ye |
| 2024 | Contextualized Speech Recognition: Rethinking Second-Pass Rescoring with Generative Large Language Models. | Yixuan Tang, Anthony K. H. Tung |
| 2024 | Unlearning from Weakly Supervised Learning. | Yi Tang, Yi Gao, Yonggang Luo, Jucheng Yang, Miao Xu, Min-Ling Zhang |
| 2024 | Stakeholder-oriented Decision Support for Auction-based Federated Learning. | Xiaoli Tang |
| 2024 | Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning. | Wei Tang, Weijia Zhang, Min-Ling Zhang |
| 2024 | Dual Calibration-based Personalised Federated Learning. | Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li |
| 2024 | A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. | Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li |
| 2024 | Intelligent Agents for Auction-based Federated Learning: A Survey. | Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus |
| 2024 | Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. | Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie |
| 2024 | Enabling Sustainable Freight Forwarding Network via Collaborative Games. | Pang Jin Tan, Shih-Fen Cheng, Richard Chen |
| 2024 | KnowledgeHub: An End-to-End Tool for Assisted Scientific Discovery. | Shinnosuke Tanaka, James Barry, Vishnudev Kuruvanthodi, Movina Moses, Maxwell J. Giammona, Nathan Herr, Mohab Elkaref, Geeth de Mel |
| 2024 | Adaptive Order Q-learning. | Tao Tan, Hong Xie, Defu Lian |
| 2024 | Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search. | Haichun Tai, De Cheng, Jie Li, Nannan Wang, Xinbo Gao |
| 2024 | Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search. | Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm |
| 2024 | Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments. | Angel Sylvester |
| 2024 | A Framework for Centralized Traffic Routing in Urban Areas. | Matys Svadlenka, Luks Chrpa |
| 2024 | A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization. | Hao Su, Meng Yang |