Kuangqi Zhou

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

Yujun Shi, Kuangqi Zhou, Jian Liang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 56 citations

Artificial Intelligence, Incremental Learning, Engineering +18

Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks

Kuangqi Zhou, Yanfei Dong, Kaixin Wang et al. · 2021 · 54 citations · Full text

Understanding and Resolving Performance Degradation in Graph Convolutional Networks

Kuangqi Zhou, Yanfei Dong, Kaixin Wang et al. · arXiv (Cornell University) · 2020 · 24 citations · Full text

Data Augmentation, Convolutional Neural Network, Graph Convolutional Networks +15

Effective Training Strategies for Deep Graph Neural Networks.

Kuangqi Zhou, Yanfei Dong, Wee Sun Lee et al. · arXiv (Cornell University) · 2020 · 21 citations · Full text

Geometric Learning, Convolutional Neural Network, Deep Neural Networks +14

Value Penalized Q-Learning for Recommender Systems

Chengqian Gao, Ke Xu, Kuangqi Zhou et al. · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval · 2022 · 19 citations · Full text