Rethinking Importance Weighting for Deep Learning under Distribution Shift T Fang, N Lu, G Niu, M Sugiyama NeurIPS 2020 (spotlight), 2020 | 110 | 2020 |
Towards robust human-robot collaborative manufacturing: Multimodal fusion H Liu, T Fang, T Zhou, L Wang IEEE Access 6, 74762-74771, 2018 | 80 | 2018 |
Deep learning-based multimodal control interface for human-robot collaboration H Liu, T Fang, T Zhou, Y Wang, L Wang Procedia cirp 72, 3-8, 2018 | 60 | 2018 |
Rethinking importance weighting for transfer learning N Lu, T Zhang, T Fang, T Teshima, M Sugiyama Federated and Transfer Learning, 185-231, 2022 | 6 | 2022 |
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems T Fang, N Lu, G Niu, M Sugiyama NeurIPS 2023 (spotlight), 2023 | 1 | 2023 |