PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration. - Mingzhi Yuan; Zhihao Li; Qiuye Jin; Xinrong Chen; Manning Wang (ECCV (9), 2022)

Point-McBert: A Multi-choice Self-supervised Framework for Point Cloud Pre-training. - Kexue Fu 001; Mingzhi Yuan; Manning Wang (CoRR, 2022)

Cold-start active learning for image classification. - Qiuye Jin; Mingzhi Yuan; Shiman Li; Haoran Wang 009; Manning Wang; Zhijian Song (Inf. Sci., 2022)

One-shot active learning for image segmentation via contrastive learning and diversity-based sampling. - Qiuye Jin; Mingzhi Yuan; Qin Qiao; Zhijian Song (Knowl. Based Syst., 2022)

Deep active learning models for imbalanced image classification. - Qiuye Jin; Mingzhi Yuan; Haoran Wang 009; Manning Wang; Zhijian Song (Knowl. Based Syst., 2022)

Deep Graph Matching Based Dense Correspondence Learning Between Non-Rigid Point Clouds. - Jiazheng Luo; Mingzhi Yuan; Kexue Fu 001; Manning Wang; Chenxi Zhang 004 (IEEE Robotics Autom. Lett., 2022)

PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration. - Mingzhi Yuan; Kexue Fu 001; Zhihao Li; Yucong Meng; Manning Wang (ICCV, 2023)

Inner Wall Abnormality Detection of Rotating Shaft Based on Deep Learning. - Mingzhi Yuan; Liqing Geng; Genghuang Yang; Yuxi Liu (ICMSSP, 2023)

Boosting 3D Point Cloud Registration by Transferring Multi-modality Knowledge. - Mingzhi Yuan; Xiaoshui Huang; Kexue Fu 001; Zhihao Li; Manning Wang (ICRA, 2023)

Density-based one-shot active learning for image segmentation. - Qiuye Jin; Shiman Li; Xiaofei Du 002; Mingzhi Yuan; Manning Wang; Zhijian Song (Eng. Appl. Artif. Intell., 2023)

ProteinMAE: masked autoencoder for protein surface self-supervised learning. - Mingzhi Yuan; Ao Shen; Kexue Fu 001; Jiaming Guan; Yingfan Ma; Qin Qiao; Manning Wang (Bioinform., 2023)

Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction. - Ao Shen; Mingzhi Yuan; Yingfan Ma; Jie Du; Manning Wang (Briefings Bioinform., 2024)

PGBind: pocket-guided explicit attention learning for protein-ligand docking. - Ao Shen; Mingzhi Yuan; Yingfan Ma; Jie Du; Manning Wang (Briefings Bioinform., 2024)

ProteinF3S: boosting enzyme function prediction by fusing protein sequence, structure, and surface. - Mingzhi Yuan; Ao Shen; Yingfan Ma; Jie Du; Bohan An; Manning Wang (Briefings Bioinform., 2024)

Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training. - Yingfan Ma; Xiaoyuan Luo; Mingzhi Yuan; Xinrong Chen; Manning Wang (CoRR, 2024)

Robust Point Cloud Registration via Random Network Co-Ensemble. - Mingzhi Yuan; Kexue Fu 001; Zhihao Li; Yucong Meng; Ao Shen; Manning Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Boosting Point-BERT by Multi-Choice Tokens. - Kexue Fu 001; Mingzhi Yuan; Shaolei Liu; Manning Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Decoupled deep hough voting for point cloud registration. - Mingzhi Yuan; Kexue Fu 001; Zhihao Li; Manning Wang (Frontiers Comput. Sci., 2024)

SS-Pro: a simplified Siamese contrastive learning approach for protein surface representation. - Ao Shen; Mingzhi Yuan; Yingfan Ma; Manning Wang (Frontiers Comput. Sci., 2024)

Dual Focus-Attention Transformer for Robust Point Cloud Registration. - Kexue Fu 001; Mingzhi Yuan; Changwei Wang 001; Weiguang Pang; Jing Chi; Manning Wang; Longxiang Gao (CVPR, 2025)

Evaluation of uncertainty estimation methods in medical image segmentation: Exploring the usage of uncertainty in clinical deployment. - Shiman Li; Mingzhi Yuan; Xiaokun Dai; Chenxi Zhang 004 (Comput. Medical Imaging Graph., 2025)

SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification. - Yingfan Ma; Mingzhi Yuan; Ao Shen; Xiaoyuan Luo; Bohan An; Xinrong Chen; Manning Wang (Comput. Methods Programs Biomed., 2025)

PPDock: Pocket Prediction-Based Protein-Ligand Blind Docking. - Jie Du; Mingzhi Yuan; Ao Shen; Manning Wang (J. Chem. Inf. Model., 2025)

QMe14S, A Comprehensive and Efficient Spectral Dataset for Small Organic Molecules. - Mingzhi Yuan; Zihan Zou; Wei Hu (CoRR, 2025)

Exploring Self-Supervised Learning for 3D Point Cloud Registration. - Mingzhi Yuan; Qiao Huang; Ao Shen; Xiaoshui Huang; Manning Wang (IEEE Robotics Autom. Lett., 2025)