Mingqian Feng

Ph.D. Student, University of Rochester CS

mingqian.feng @ rochester.edu

Bio

I am a second-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 am broadly interested in:
- Trustworthy AI: hallucination, bias, privacy, and explainability;
- Forward Learning: likelihood ratio method, zeroth-order optimization;
- MLLM: Audio-visual LLM, Video LLM;

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

News

Publications

Google Scholar.
* indicates equal contribution.

Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?

Mingqian Feng, Yunlong Tang, Zeliang Zhang, Chenliang Xu

Preprint arXiv 2024.

Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?

Zeliang Zhang, Xin Liang, Mingqian Feng, Susan Liang, Chenliang Xu

Preprint arXiv 2024.

Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP

Zeliang Zhang, Zhuo Liu, Mingqian Feng, Chenliang Xu

Preprint arXiv 2024.

Forward Learning with Differential Privacy

Mingqian Feng, Jinyang Jiang, Zeliang Zhang, Chenliang Xu

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.

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

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

CVPR 2024.

Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?

Mingqian Feng, Yunlong Tang, Zeliang Zhang, Chenliang Xu

Preprint arXiv 2024.

Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding

Yunlong Tang, Daiki Shimada, Jing Bi, Mingqian Feng, Hang Hua, Chenliang Xu

Preprint arXiv 2024.

Video Understanding with Large Language Models: A Survey

Yunlong Tang, Jing Bi, Siting Xu, …, Mingqian Feng, …, Jiebo Luo, Chenliang Xu

Preprint arXiv 2024.

Forward Learning with Differential Privacy

Mingqian Feng, Jinyang Jiang, Zeliang Zhang, Chenliang Xu

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.

Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?

Mingqian Feng, Yunlong Tang, Zeliang Zhang, Chenliang Xu

Preprint arXiv 2024.

Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?

Zeliang Zhang, Xin Liang, Mingqian Feng, Susan Liang, Chenliang Xu

Preprint arXiv 2024.

Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding

Yunlong Tang, Daiki Shimada, Jing Bi, Mingqian Feng, Hang Hua, Chenliang Xu

Preprint arXiv 2024.

Video Understanding with Large Language Models: A Survey

Yunlong Tang, Jing Bi, Siting Xu, …, Mingqian Feng, …, Jiebo Luo, Chenliang Xu

Preprint arXiv 2024.

Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP

Zeliang Zhang, Zhuo Liu, Mingqian Feng, Chenliang Xu

Preprint arXiv 2024.

Forward Learning with Differential Privacy

Mingqian Feng, Jinyang Jiang, Zeliang Zhang, Chenliang Xu

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.

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

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

CVPR 2024.

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