Mingqian Feng

Bio

I am a first-year Ph.D. student in the Department of Computer Science at University of Rochester (UR), where I am fortunate to be advised by Prof. Chenliang Xu. Prior to that, I received my M.S.E degree in Financial Mathematics at Johns Hopkins University (JHU). and my B.Sc. degree in physics at University of Science and Technology of China (USTC). I was also lucky to work with Prof. Maxim Bichuch and Prof. Peter Chin.

I am broadly interested in:
- Trustworthy AI: robustness, privacy, and explainability;
- Optimization: zeroth-order optimization, stochastic optimization;
- Theoretical foundations of deep learning.

I am actively looking for collaboration on research. If you share similar interests, please feel free to contact me!

News

01/2024
One paper accepted by Conference on Computer Vision and Pattern Recognition (CVPR) 2024!
04/2023
I will be joining in the Chenliang Xu's Group at UR as a Ph.D. student!
12/2022
Graduated from Johns Hopkins University with a M.S.E. degree.
09/2022
Our team achieved 2^nd place in Algorithms for Threat Detection Challenge (ATD) 2022 at NSF!

Publications

Google Scholar.
* indicates equal contribution.

• Trustworthy
• All

Forward Learning with Differential Privacy

Mingqian Feng, Zeliang Zhang, Jinyang Jiang, Chenliang Xu

Coming Soon

Forward Learning for Gradient-based Black-box Saliency Map Generation

Mingqian Feng*, Zeliang Zhang*, Jinyang Jiang, Rongyi Zhu, Yijie Peng, Chenliang Xu

Preprint arXiv 2024.

Paper

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

Mingqian Feng*, Zeliang Zhang*, Jinyang Jiang, Rongyi Zhu, Yijie Peng, Chenliang Xu

CVPR 2024.

Paper Code

Forward Learning with Differential Privacy

Mingqian Feng, Zeliang Zhang, Jinyang Jiang, Chenliang Xu

Coming Soon

Forward Learning for Gradient-based Black-box Saliency Map Generation

Mingqian Feng*, Zeliang Zhang*, Jinyang Jiang, Rongyi Zhu, Yijie Peng, Chenliang Xu

Preprint arXiv 2024.

Paper

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

Mingqian Feng*, Zeliang Zhang*, Jinyang Jiang, Rongyi Zhu, Yijie Peng, Chenliang Xu

CVPR 2024.

Paper Code

Education

University of Rochester (UR)
Rochester, NY, US  |  Aug. 2023 - Present
Ph.D. Student in Computer Science
Advisor: Chenliang Xu



Johns Hopkins University (JHU)
Baltimore, MD, US  |  Jan. 2021 - Dec. 2022
M.S.E. in Financial Mathematics
Advisor: Maxim Bichuch



University of Science and Technology of China (USTC)
Hefei, China  |  Aug. 2015 - Jun. 2019
B.Sc. in Physics

Experiences

Dartmouth College, LSIP lab
Hanover, NH, US  |  Jul. 2022 - Aug. 2023
Graduate Researcher
Advisor: Peter Chin



Bilibili
Shanghai, China  |  May. 2020 - Dec. 2020
Data Algorithm Engineer, Intern

Misc.

Fun facts:

• I ventured through three distinct majors during my undergrad, master's, and doctoral journeys, which makes me deeply thankful for finally finding my true passion before bidding farewell to campus life.
• I love to design and host activities for friends to get together. See invitation examples [1][2] [3].
• I am blessed with friends and family who offer me their unwavering support. Love you guys.

Pipe dreams:

• May all in this world be free from illness' blight, without lamenting the dusty shelves where medicines recline.
• To live in latant space of foundation models and feel the "physical" properties there.
• "Because it's there."     ——George Mallory