A Survey on Generative Diffusion Model. - Hanqun Cao; Cheng Tan 012; Zhangyang Gao; Guangyong Chen; Pheng-Ann Heng; Stan Z. Li (CoRR, 2022)

Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. - Jinpeng Li 004; Hanqun Cao; Jiaze Wang; Furui Liu; Qi Dou 001; Guangyong Chen; Pheng-Ann Heng (MICCAI (5), 2023)

Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk. - Jinpeng Li 004; Hanqun Cao; Jiaze Wang; Furui Liu; Qi Dou 001; Guangyong Chen; Pheng-Ann Heng (MICCAI (6), 2023)

Efficient and accurate large library ligand docking with KarmaDock. - Xujun Zhang; Odin Zhang; Chao Shen 008; Wanglin Qu; Shicheng Chen; Hanqun Cao; Yu Kang 002; Zhe Wang 041; Ercheng Wang; Jintu Zhang; Yafeng Deng; Furui Liu; et al. (Nat. Comput. Sci., 2023)

ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling. - Odin Zhang; Jintu Zhang; Jieyu Jin; Xujun Zhang; Renling Hu; Chao Shen 008; Hanqun Cao; Hongyan Du; Yu Kang 002; Yafeng Deng; Furui Liu; Guangyong Chen; et al. (Nat. Mac. Intell., 2023)

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. - Cheng Tan 012; Zhangyang Gao; Hanqun Cao; Xingran Chen; Ge Wang; Lirong Wu; Jun Xia 001; Jiangbin Zheng 002; Stan Z. Li (ICML, 2024)

R3Design: deep tertiary structure-based RNA sequence design and beyond. - Cheng Tan 012; Yijie Zhang; Zhangyang Gao; Hanqun Cao; Siyuan Li 002; Siqi Ma; Mathieu Blanchette; Stan Z. Li (Briefings Bioinform., 2024)

An Autonomous Large Language Model Agent for Chemical Literature Data Mining. - Kexin Chen 003; Hanqun Cao; Junyou Li; Yuyang Du 001; Menghao Guo; Xin Zeng; Lanqing Li; Jiezhong Qiu; Pheng-Ann Heng; Guangyong Chen (CoRR, 2024)

Deep Learning-Based Quasi-Conformal Surface Registration for Partial 3D Faces Applied to Facial Recognition. - Yuchen Guo; Hanqun Cao; Lok Ming Lui (CoRR, 2024)

Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries. - Chunbin Gu; Mutian He 003; Hanqun Cao; Guangyong Chen; Chang-Yu Hsieh; Pheng-Ann Heng (CoRR, 2024)

DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries. - Hanqun Cao; Chunbin Gu; Mutian He 003; Ning Ma; Chang-Yu Hsieh; Pheng-Ann Heng (CoRR, 2024)

A Survey on Generative Diffusion Models. - Hanqun Cao; Cheng Tan 012; Zhangyang Gao; Yilun Xu; Guangyong Chen; Pheng-Ann Heng; Stan Z. Li (IEEE Trans. Knowl. Data Eng., 2024)

SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection. - Jingjie Zhang; Hanqun Cao; Zijun Gao; Xiaorui Wang; Chunbin Gu (ICLR, 2025)

Gated-GPS: enhancing protein-protein interaction site prediction with scalable learning and imbalance-aware optimization. - Xin Gao; Hanqun Cao; Jinpeng Li 004; Jiezhong Qiu; Guangyong Chen; Pheng-Ann Heng (Briefings Bioinform., 2025)

PLAME: Leveraging Pretrained Language Models to Generate Enhanced Protein Multiple Sequence Alignments. - Hanqun Cao; Xinyi Zhou 010; Zijun Gao; Chenyu Wang; Xin Gao; Zhi Zhang; Chunbin Gu; Ge Liu; Pheng-Ann Heng (CoRR, 2025)