Æȷοì
Kuangqi Zhou
Kuangqi Zhou
u.nus.eduÀÇ À̸ÞÀÏ È®ÀεÊ
Á¦¸ñ
Àοë
Àοë
¿¬µµ
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
792021
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
292022
Few-shot classification via adaptive attention
Z Jiang, B Kang, K Zhou, J Feng
arXiv preprint arXiv:2008.02465, 2020
292020
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
232021
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
152023
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
102023
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
72022
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
42020
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
22023
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
22022
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
22022
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–12