Improvement of peptide identification with considering the abundance of mRNA and peptide. - Chunwei Ma; Shaohang Xu; Geng Liu; Xin Liu 007; Xun Xu; Bo Wen; Siqi Liu (BMC Bioinform., 2017)

Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. - Zhanghexuan Ji; Yan Shen 002; Chunwei Ma; Mingchen Gao (MICCAI (3), 2019)

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. - Chunwei Ma; Zhanghexuan Ji; Mingchen Gao (MICCAI (2), 2019)

Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. - Yufan Zhou 001; Zheshuo Li; Chunwei Ma; Changyou Chen; Mingchen Gao; Hong Zhu 005; Jinhui Xu 001 (ISBI, 2020)

Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. - Chunwei Ma; Ziyun Huang; Jiayi Xian; Mingchen Gao; Jinhui Xu 001 (UAI, 2021)

Optimal Switching Frequency Variation Range Control for Critical Conduction Mode Boost Power Factor Correction Converter. - Kai Yao 003; Kaili Chen; Chunyan Mao; Huanqi Tang; Lei Li; Chengjian Wu; Zhen Zhang; Chunwei Ma (IEEE Trans. Ind. Electron., 2021)

Few-shot Learning via Dirichlet Tessellation Ensemble. - Chunwei Ma; Ziyun Huang; Mingchen Gao; Jinhui Xu 001 (ICLR, 2022)

Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. - Dana Moukheiber; Saurabh Mahindre; Lama Moukheiber; Mira Moukheiber; Song Wang 026; Chunwei Ma; George Shih; Yifan Peng 002; Mingchen Gao (DALI@MICCAI, 2022)

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach. - Chunwei Ma; Ziyun Huang; Mingchen Gao; Jinhui Xu 001 (CoRR, 2022)

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning. - Yan Shen 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (CoRR, 2022)

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. - Chunwei Ma; Zhanghexuan Ji; Ziyun Huang; Yan Shen 002; Mingchen Gao; Jinhui Xu 001 (CoRR, 2022)

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. - Yan Shen 002; Jian Du; Han Zhao 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (AAMAS, 2023)

Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. - Chunwei Ma; Zhanghexuan Ji; Ziyun Huang; Yan Shen 002; Mingchen Gao; Jinhui Xu 001 (ICLR, 2023)

A prediction model for blood-brain barrier penetrating peptides based on masked peptide transformers with dynamic routing. - Chunwei Ma; Russ Wolfinger (Briefings Bioinform., 2023)

Continual Domain Adversarial Adaptation via Double-Head Discriminators. - Yan Shen 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (AISTATS, 2024)

Four-Switch Buck-Boost Integrated Bridge for Bidirectional IPT System. - Chunwei Ma; Xiaohui Qu; Zhihao Guo; Cheng Li (IECON, 2024)

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram. - Mingxi Lei; Chunwei Ma; Meng Ding; Yufan Zhou 001; Ziyun Huang; Jinhui Xu 001 (ICLR, 2025)

Unifying domain gap in Federated Learning: A geometric approach. - Mingxi Lei; Meng Ding; Chunwei Ma; Ziyun Huang; Mingchen Gao; Jinhui Xu 001 (Neurocomputing, 2025)

Four-Switch Buck-Boost Integrated Bridge for Bidirectional Inductive Power Transfer With Hybrid Energy Storage System. - Chunwei Ma; Xiaohui Qu; Zhihao Guo; Linlin Tan (IEEE Trans. Ind. Electron., 2025)