Kuangqi Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
6
Active years
2021–2023
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | AISTATS | Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback. | Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang |
| 2023 | ICLR | Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. | Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan |
| 2023 | ICML | Reachability-Aware Laplacian Representation in Reinforcement Learning. | Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang |
| 2022 | CVPR | Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. | Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan |
| 2022 | ICML | The Geometry of Robust Value Functions. | Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor |
| 2022 | SIGIR | Value Penalized Q-Learning for Recommender Systems. | Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao |
| 2021 | CIKM | Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. | Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng |
| 2021 | ICML | Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. | Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng |