| Learning to compare: Relation network for few-shot learning F Sung, Y Yang, L Zhang, T Xiang, PHS Torr, TM Hospedales Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 5306 | 2018 |
| Learning to Learn: Meta-Critic Networks for Sample Efficient Learning F Sung, L Zhang, T Xiang, T Hospedales, Y Yang arXiv preprint arXiv:1706.09529, 2017 | 163 | 2017 |
| Actor-Critic Sequence Training for Image Captioning L Zhang, F Sung, F Liu, T Xiang, S Gong, Y Yang, TM Hospedales NIPS Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017, 2017 | 147 | 2017 |
| Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions G Hu, Y Hu, K Yang, Z Yu, F Sung, Z Zhang, F Xie, J Liu, N Robertson, ... International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2017 | 74 | 2017 |
| RelationNet2: Deep comparison network for few-shot learning X Zhang, Y Qiang, F Sung, Y Yang, T Hospedales 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 72* | 2020 |
| Kimi k1. 5: Scaling reinforcement learning with llms K Team, A Du, B Gao, B Xing, C Jiang, C Chen, C Li, C Xiao, C Du, C Liao, ... arXiv preprint arXiv:2501.12599, 2025 | 13 | 2025 |
| Ess-InfoGAIL: Semi-supervised imitation learning from imbalanced demonstrations H Fu, K Tang, Y Lu, Y Qi, G Deng, F Sung, C Chen Advances in Neural Information Processing Systems 36, 60048-60059, 2023 | 3 | 2023 |
| TimeChamber: A Massively Parallel Large Scale Self-Play Framework H Ziming, L Ziyi, W Yutong, S Flood https://github.com/inspirai/TimeChamber, 2022 | 3 | 2022 |
| MetalHead: Natural Locomotion, Jumping and Recovery of Quadruped Robot A1 with AMP H Fu, Y Wu, F Sung https://github.com/inspirai/MetalHead, 2023 | | 2023 |
| Divide and Explore: Multi-Agent Separate Exploration with Shared Intrinsic Motivations X Jing, Z Zhu, H Li, X Pei, Y Bengio, T Che, H Song | | 2021 |
Timothy M. HospedalesProfessor, University of Edinburgh; Samsung AI Research在 ed.ac.uk 的电子邮件经过验证