Chunwei Ma

Orcid: 0000-0001-9410-1264

According to our database1, Chunwei Ma authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators.
CoRR, 2024

2023
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation.
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.
CoRR, 2022

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning.
CoRR, 2022

Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach.
CoRR, 2022

Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Few-shot Learning via Dirichlet Tessellation Ensemble.
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.
IEEE Trans. Ind. Electron., 2021

Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation.
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.
BMC Bioinform., 2017


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