Kuangqi Zhou

Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction

Xinchao Wang, Jiashi Feng, Tingyang Xu, 2022, ArXiv.

The Geometry of Robust Value Functions

Shie Mannor, Bryan Hooi, Jiashi Feng, 2022, ICML.

Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback

Zengde Deng, Zaiyi Chen, Haoyuan Hu, 2022, 2208.07632.

Reachability-Aware Laplacian Representation in Reinforcement Learning

Xinchao Wang, Bryan Hooi, Jiashi Feng, 2022, ICML.

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning

Philip H. S. Torr, Vincent Y. F. Tan, Jiashi Feng, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks

Bryan Hooi, Kaixin Wang, Huan Xu, 2020, CIKM.

Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation pdf

Jiashi Feng, Qibin Hou, Kuangqi Zhou, 2020, ArXiv.

Effective Training Strategies for Deep Graph Neural Networks pdf

Jiashi Feng, Bryan Hooi, Wee Sun Lee, 2020, ArXiv.

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing pdf

Jie Shao, Bryan Hooi, Kuangqi Zhou, 2021, ICML.

Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction

P. Zhao, Xinchao Wang, Bryan Hooi, 2022, LoG.

Few-shot Classification via Adaptive Attention

Jiashi Feng, Bingyi Kang, Kuangqi Zhou, 2020, ArXiv.