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Reachability-Aware Laplacian Representation in Reinforcement Learning


Oct 24, 2022
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang

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


Aug 16, 2022
Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang

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* 31 pages, 6 figures, 3 tables 

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


May 23, 2022
Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang

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The Geometry of Robust Value Functions


Jan 30, 2022
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor

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


Jan 03, 2022
Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip Torr, Song Bai, Vincent Y. F. Tan

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Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing


Jul 12, 2021
Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng

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* ICML 2021 

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Few-shot Classification via Adaptive Attention


Aug 06, 2020
Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng

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* 11 pages, 4 figures 

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


Jun 14, 2020
Kuangqi Zhou, Qibin Hou, Zun Li, Jiashi Feng

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Effective Training Strategies for Deep Graph Neural Networks


Jun 12, 2020
Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng

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