Negative Samples-enhanced Graph Convolutional Neural Networks. - Wei Duan 003; Junyu Xuan; Jie Lu 001 (ISKE, 2021)

Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. - Wei Duan 003; Junyu Xuan; Maoying Qiao; Jie Lu 001 (AAAI, 2022)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. - Wei Duan 003; Jie Lu 001; Junyu Xuan (IJCAI, 2024)

Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. - Wei Duan 003; Jie Lu 001; Junyu Xuan (CoRR, 2024)

Layer-diverse Negative Sampling for Graph Neural Networks. - Wei Duan 003; Jie Lu 001; Yu Guang Wang 001; Junyu Xuan (Trans. Mach. Learn. Res., 2024)

Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes. - Wei Duan 003; Junyu Xuan; Maoying Qiao; Jie Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mecon: A GNN-based graph classification framework for MEV activity detection. - Zihao Yao; Fanding Huang; Yannan Li; Wei Duan 003; Peng Qian; Nan Yang; Willy Susilo (Expert Syst. Appl., 2025)