Discriminative Graph Representation Learning with Distributed Sampling. - Jinyong Wen; Yuhu Wang; Chunxia Zhang 001; Shiming Xiang; Chunhong Pan (BIBM, 2022)

Graph Information Interaction on Feature and Structure via Cross-modal Contrastive Learning. - Jinyong Wen; Yuhu Wang; Chunxia Zhang 001; Shiming Xiang; Chunhong Pan (ICME, 2023)

Exploring Universal Principles for Graph Contrastive Learning: A Statistical Perspective. - Jinyong Wen; Shiming Xiang; Chunhong Pan (ACM Multimedia, 2023)

PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images. - Tao Zhang; Kun Ding; Jinyong Wen; Yu Xiong; Zeyu Zhang; Shiming Xiang; Chunhong Pan (CoRR, 2023)

An Efficient Graph Autoencoder with Lightweight Desmoothing Decoder and Long-Range Modeling. - Jinyong Wen; Tao Zhang; Chunxia Zhang 001; Shiming Xiang; Chunhong Pan (ICDM, 2024)

Gaussian Mutual Information Maximization for Efficient Graph Self-Supervised Learning: Bridging Contrastive-based to Decorrelation-based. - Jinyong Wen (ACM Multimedia, 2024)

Graph Aggregating-Repelling Network: Do Not Trust All Neighbors in Heterophilic Graphs. - Yuhu Wang; Jinyong Wen; Chunxia Zhang 001; Shiming Xiang (Neural Networks, 2024)

UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation. - Tao Zhang; Jinyong Wen; Zhen Chen; Kun Ding; Shiming Xiang; Chunhong Pan (ICLR, 2025)