Chunwei Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Voronoi Diagram

Incremental Learning

Tandem Mass Spectrometry

Brain Tumor Segmentation

Top Venues

Publications

Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
Continual Domain Adversarial Adaptation via Double-Head Discriminators. CoRR (2024)
Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
Continual Domain Adversarial Adaptation via Double-Head Discriminators. AISTATS (2024)
Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. AAMAS (2023)
Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. ICLR (2023)
Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao
Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. DALI@MICCAI (2022)
Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning. CoRR (2022)
Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach. CoRR (2022)
Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. CoRR (2022)
Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
Few-shot Learning via Dirichlet Tessellation Ensemble. ICLR (2022)
Kai Yao, Kaili Chen, Chunyan Mao, Huanqi Tang, Lei Li, Chengjian Wu, Zhen Zhang, Chunwei Ma
Optimal Switching Frequency Variation Range Control for Critical Conduction Mode Boost Power Factor Correction Converter. IEEE Trans. Ind. Electron. 68 (2) (2021)
Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. UAI (2021)
Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization. CoRR (2021)
Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu
Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. ISBI (2020)
Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. CoRR (2019)
Chunwei Ma, Zhanghexuan Ji, Mingchen Gao
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. MICCAI (2) (2019)
Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao
Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. MICCAI (3) (2019)
Chunwei Ma, Zhanghexuan Ji, Mingchen Gao
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. CoRR (2019)
Chunwei Ma, Shaohang Xu, Geng Liu, Xin Liu, Xun Xu, Bo Wen, Siqi Liu
Improvement of peptide identification with considering the abundance of mRNA and peptide. BMC Bioinform. 18 (1) (2017)