Entropy-aware self-training for graph convolutional networks. - Gongpei Zhao; Tao Wang 011; Yidong Li; Yi Jin 001; Congyan Lang (Neurocomputing, 2021)

AGM: Adaptive Graph Enhanced Graph Matching for Planar Tracking. - Shiyao Huang; Tao Wang 011; Gongpei Zhao; Yidong Li (PAAP, 2023)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment. - Gongpei Zhao; Tao Wang 011; Congyan Lang; Yi Jin 001; Yidong Li; Haibin Ling (NeurIPS, 2024)

GrassNet: State Space Model Meets Graph Neural Network. - Gongpei Zhao; Tao Wang 011; Yi Jin 001; Congyan Lang; Yidong Li; Haibin Ling (CoRR, 2024)

Transformer Driven Matching Selection Mechanism for Multi-Label Image Classification. - Yanan Wu; Songhe Feng; Gongpei Zhao; Yi Jin 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Neighborhood Pattern Is Crucial for Graph Convolutional Networks Performing Node Classification. - Gongpei Zhao; Tao Wang 011; Yidong Li; Yi Jin 001; Congyan Lang; Songhe Feng (IEEE Trans. Neural Networks Learn. Syst., 2024)

The Cascaded Forward algorithm for neural network training. - Gongpei Zhao; Tao Wang 011; Yi Jin 001; Congyan Lang; Yidong Li; Haibin Ling (Pattern Recognit., 2025)