Chunwei Ma
About
I received Ph.D. in Computer Science in 2023 at Department of Computer Science and Engineering, University at Buffalo, SUNY, advised by Prof. Dr. Jinhui Xu. I received Bachelor’s degree in Biomedical Engineering & Bioinformatics in 2015 at Southeast University, Nanjing.
Research Interests
- Large Language Models: and their applications.
- Deep Learning: few-shot learning, continual learning, uncertainty in AI.
- Computational Geometry: space partitioning, truth discovery.
- Medical Image Analysis: image segmentation, histopathology.
- Bioinformatics: genomics, transcriptomics, proteomics, metabolomics.
- Analytical Chemistry: LC-MS/MS, drug discovery.
Work Experience
- Year Round Graduate Intern, JMP, SAS Institute, 2023.1 - 2023.12
- Bioinformatics Scientist, BGI Genomics-Shenzhen, 2015.7 - 2018.7
- Co-op, BGI Genomics-Shenzhen, 2014.3 - 2015.6
News
- [Jan. 22, 2025] Our paper on Geometric Test-Time Adaptation (TTA) has been accepted to ICLR 2025.
- [Aug. 05, 2024] Our paper on Geometric Federated Learning has been accepted to Neurocomputing.
- [Jan. 19, 2024] Our paper on continual domain adaptation has been accepted to AISTATS 2024.
- [Oct. 17, 2023] Our paper on low-data drug discovery powered by masked peptide transformer has been accepted for publication in Briefings in Bioinformatics (top 3 journals in Biochemical Research Methods).
- [Jan. 20, 2023] Our paper about continual learning has been accepted to ICLR 2023. More than 37% improvement of accuracy for CIL.
- [Jan. 4, 2023] Our paper about federated learning has been accepted to AAMAS 2023.
- [Jan. 20, 2022] Our paper about few-shot learning has been accepted to ICLR 2022.
- [May. 12, 2021] Our paper about uncertainty calibration has been accepted to UAI 2021.
Selected Publications [ Full List] [ DBLP]
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ACS
Chemical Research in Toxicology, 2024. -
BiB
Briefings in Bioinformatics, 2023. Impact Factor: 13.994 -
ICLR
International Conference on Learning Representations (ICLR), 2023. -
ICLR
International Conference on Learning Representations (ICLR), 2022. -
UAI
Uncertainty in Artificial Intelligence (UAI), 2021. -
MICCAI
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019. Early Accept -
ACS AC
Analytical Chemistry, 2018. Impact Factor: 6.350 -
arXiv
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BMC
BMC Bioinformatics, 2017. Impact Factor: 2.213
Teaching
- Teaching Assistant, Blockchain Application Development at University at Buffalo, 2019-2021
- Teaching Assistant, Data-intensive Computing at University at Buffalo, 2019
Services
Conference Review
Annual Conference on Neural Information Processing Systems (NeurIPS) International Conference on Machine Learning (ICML) International Conference on Learning Representations (ICLR) International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) AAAI Conference on Artificial Intelligence (AAAI) European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) International Workshop on Combinatorial Image Analysis (IWCIA)
Journal Review
IEEE Transactions on Neural Networks and Learning Systems IEEE Journal of Biomedical and Health Informatics Briefings in Bioinformatics Scientific Reports Journal of Medical Internet Research JMIR AI JMIR Medical Informatics Frontiers in Artificial Intelligence Computational and Structural Biotechnology Journal BMC Bioinformatics Toxicology
Contact
Address: 338X Davis Hall, Buffalo, NY, 14260