Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks K Zhou*, Y Dong*, K Wang, WS Lee, B Hooi, H Xu, ... Proceedings of the 30th ACM International Conference on Information ¡¦, 2021 | 147* | 2021 |
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning Y Shi, K Zhou, J Liang, Z Jiang, J Feng, P Torr, S Bai, VYF Tan CVPR 2022, 2021 | 79 | 2021 |
Value penalized q-learning for recommender systems C Gao, K Xu, K Zhou, L Li, X Wang, B Yuan, P Zhao Proceedings of the 45th International ACM SIGIR Conference on Research and ¡¦, 2022 | 29 | 2022 |
Few-shot classification via adaptive attention Z Jiang, B Kang, K Zhou, J Feng arXiv preprint arXiv:2008.02465, 2020 | 29 | 2020 |
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing K Wang*, K Zhou*, Q Zhang, J Shao, B Hooi, ... International Conference on Machine Learning, 11003-11012, 2021 | 23 | 2021 |
Revisiting intrinsic reward for exploration in procedurally generated environments K Wang, K Zhou, B Kang, J Feng, YAN Shuicheng The Eleventh International Conference on Learning Representations, 2023 | 15 | 2023 |
Online learning for non-monotone DR-submodular maximization: From full information to bandit feedback Q Zhang, Z Deng, Z Chen, K Zhou, H Hu, Y Yang International Conference on Artificial Intelligence and Statistics, 3515-3537, 2023 | 10 | 2023 |
The geometry of robust value functions K Wang, N Kumar, K Zhou, B Hooi, J Feng, S Mannor International Conference on Machine Learning, 22727-22751, 2022 | 7 | 2022 |
Multi-miner: Object-adaptive region mining for weakly-supervised semantic segmentation K Zhou, Q Hou, Z Li, J Feng arXiv preprint arXiv:2006.07834, 2020 | 4 | 2020 |
Reachability-Aware Laplacian Representation in Reinforcement Learning K Wang*, K Zhou*, J Feng, B Hooi, X Wang Proceedings of the 40th International Conference on Machine Learning, 36670 ¡¦, 2023 | 2 | 2023 |
Jointly modelling uncertainty and diversity for active molecular property prediction K Zhou, K Wang, J Tang, J Feng, B Hooi, P Zhao, T Xu, X Wang Learning on Graphs Conference, 29: 1-29: 21, 2022 | 2 | 2022 |
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction K Zhou, K Wang, J Feng, J Tang, T Xu, X Wang arXiv preprint arXiv:2205.11279, 2022 | 2 | 2022 |