| Issue Date | Title | Author(s) |
| 2024-01 | Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. | Liu, Z; Li, Y; Yao, L; Chang, X; Fang, W; Wu, X; Saddik, AE |
| 2023-10 | Recent Advances for Quantum Neural Networks in Generative Learning. | Tian, J; Sun, X; Du, Y; Zhao, S; Liu, Q; Zhang, K; Yi, W; Huang, W; Wang, C; Wu, X; Hsieh, M-H; Liu, T; Yang, W; Tao, D |
| 2023-12-01 | Heterogeneous multi-task Gaussian Cox processes | Zhou, F; Kong, Q; Deng, Z; He, F; Cui, P; Zhu, J |
| 2023-01-01 | Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning | Tan, Y; Chen, C; Zhuang, W; Dong, X; Lyu, L; Long, G |
| 2023-01-01 | RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation | Khan, MW; Sheng, H; Zhang, H; Du, H; Wang, S; Coroneo, MT; Hajati, F; Shariflou, S; Kalloniatis, M; Phu, J; Agar, A; Huang, Z; Golzan, M; Yu, X |
| 2023-01-01 | Mask Propagation for Efficient Video Semantic Segmentation | Weng, Y; Han, M; He, H; Li, M; Yao, L; Chang, X; Zhuang, B |
| 2023-01-01 | Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources | Zheng, H; Wang, Q; Fang, Z; Xia, X; Liu, F; Liu, T; Han, B |
| 2023-01-01 | Learning to Augment Distributions for Out-of-Distribution Detection | Wang, Q; Fang, Z; Zhang, Y; Liu, F; Li, Y; Han, B |
| 2023-10 | Earning Extra Performance From Restrictive Feedbacks. | Li, J; Pan, Y; Lyu, Y; Yao, Y; Sui, Y; Tsang, IW |
| 2023-11 | Relational Temporal Graph Reasoning for Dual-Task Dialogue Language Understanding. | Xing, B; Tsang, IW |
