A Heterogeneous Ranking Contrastive Learning Method for Drug-Target Interaction Prediction. - Desheng Kong; Xu Jin; Maoqiang Xie; MingMing Liu; Yanhao Li; Jingjing He; Hao Shi; Yiran Wan; Yalou Huang; Weiwei Yang (BIBM, 2023)

Predicting Distant Drug-Target Interactions via a Random Walk Guided Graph Neural Network. - Xu Jin; Maoqiang Xie; Yalou Huang; Mingming Liu; Desheng Kong; Yuhang Xuan; Yang Kuang (BIBM, 2024)

Self-supervised reconstructed graph learning for link prediction in bipartite graphs. - Xu Jin; Desheng Kong; Maoqiang Xie; Yalou Huang; Mingming Liu; Weiwei Yang; Hao Shi; Yue Liu (Neurocomputing, 2024)

Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection. - Ji Du; Fangwei Hao; Mingyang Yu; Desheng Kong; Jiesheng Wu; Bin Wang; Jing Xu 008; Ping Li 016 (CVPR, 2025)

UpGen: Unleashing Potential of Foundation Models for Training-Free Camouflage Detection via Generative Models. - Ji Du; Jiesheng Wu; Desheng Kong; Weiyun Liang; Fangwei Hao; Jing Xu 008; Bin Wang; Guiling Wang 001; Ping Li 016 (IEEE Trans. Image Process., 2025)

Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution. - Fangwei Hao; Ji Du; Desheng Kong; Jiesheng Wu; Jing Xu 008; Ping Li 016 (CoRR, 2025)