CV
Mingchen Jiang
Email: jiangmingchen0129 [at] gmail [dot] com
Education Background
Institute of Science Tokyo
formerly Tokyo Institute of Technology (Tokyo Tech)
10/2024 -
Current PhD Student
- Supervisor: Rio Yokota
- Resaerch Intersts: Machine Learning, Large Language Models, Computer Vision, Multimodal Models
City University of Hong Kong
08/2022 - 10/2023
Master of Science
- Major: Multimedia Information Technology
- Main Courses: Image Processing, Computer Vision, Complex Network, Data Mining, Cyber Security, Mobile APP Design
- GPA: 3.5/4.3
- Dissertation: Domain Generalization in Image Classification (Supervisor: Haoliang Li Co-supervisor: Xiangyu Zhao)
Northeastern University, China
08/2018 - 06/2022
Bachelor of Engineering
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Major: Computer Science and Technology
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Main Courses: Data Strcture, Computer Network, Operating System, Computer Structure, Machine Learning
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GPA: 3.409/5.0 (84.09/100)
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Graduation Thesis: Research and Implementation of Communication Cost Mitigation Algorithm in Wireless Federated Learning Network (Supervisor: Zheng Liu)
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Awards:
University-level 3rd Class Scholarship in the academic year (2019-2020)
3rd Prize in the Mathematical Contest in Modeling for College Students in Liaoning (12/2020)
3rd Prize in the Interdisciplinary Contest in Modeling (ICM) (03/2021)
1st Prize in the Computer Design Competition for Chinese College Students (07/2021)
Working Experience
Hong Kong Baptist University
10/2023 - 09/2024
Research Assistant
- Conducting research with prof. Yifan Chen about machine learning and optimal transport.
Publications
Weiduo Liao, Ying Wei*, Mingchen Jiang, Qingfu Zhang*, Hisao Ishibuchi*. Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. In NeurIPS 2023 Track Datasets and Benchmarks. (* Corresponding Author)
Mingchen Jiang, Chunyu CAO, Jingyi Si, Dai Wang, Xingzhe Shi. Classification Method of EEG Based on Convolutional Neural Network. In China Computer & Communication. 2021 (22)
Research & Project
Life Assistance Device for Patients with Dyskinesia Based on Brain-Computer Interface
11/2019 - 11/2021
Project Leader
- National Undergraduate Innovation and Entrepreneurship Training Program Funding Project of China
- Used fast Fourier transform, wavelet transform and convolutional neural network to classify the EEG signals generated by human body based on Python and Tensorflow framework.
- Conducted data processing and analyzed EEG signals with machine learning.
- Wrote an academic paper and published it in a provincial-level journal.
Development of Winter Olympics Skating Games
04/2021 - 08/2021
Core Member
- Did design with Cocos game engine and JavaScript.
- Took charge of back-end development, game logic design, game model design and resource server configuration.
- Obtained 1st Prize in the Computer Design Competition for Chinese College Students.
Computer Skills
Proficient in C/C++ and Python programming, familiar with data structure, machine learning