Chunwei Ma

According to our database, Chunwei Ma authored at least 17 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unifying domain gap in Federated Learning: A geometric approach.

Mingxi Lei, Meng Ding, Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu

Neurocomputing, 2025

2024

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram.

Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu

CoRR, 2024

Continual Domain Adversarial Adaptation via Double-Head Discriminators.

Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

A prediction model for blood-brain barrier penetrating peptides based on masked peptide transformers with dynamic routing.

Chunwei Ma, Russ Wolfinger

Briefings Bioinform., September, 2023

Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning.

Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation.

Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning.

Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu

CoRR, 2022

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning.

Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao

CoRR, 2022

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach.

Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu

CoRR, 2022

Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays.

Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Few-shot Learning via Dirichlet Tessellation Ensemble.

Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Optimal Switching Frequency Variation Range Control for Critical Conduction Mode Boost Power Factor Correction Converter.

Kai Yao, Kaili Chen, Chunyan Mao, Huanqi Tang, Lei Li, Chengjian Wu, Zhen Zhang, Chunwei Ma

IEEE Trans. Ind. Electron., 2021

Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization.

Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label.

Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data.

Chunwei Ma, Zhanghexuan Ji, Mingchen Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation.

Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Improvement of peptide identification with considering the abundance of mRNA and peptide.

Chunwei Ma, Shaohang Xu, Geng Liu, Xin Liu, Xun Xu, Bo Wen, Siqi Liu

BMC Bioinform., 2017