Author

Mingqian Feng

Observed name: Feng, Mingqian

Institutions: Microsoft (United States), University of Washington, University of Rochester, Carnegie Mellon University

Observed institutions: Microsoft (United States), Johns Hopkins University, University of Washington, Huazhong University of Science and Technology, University of Rochester, Carnegie Mellon University

OpenAlex ID: A5111363043

Video Understanding With Large Language Models: A Survey

2025 · Yunlong Tang, Jing Bi, et al. · IEEE Transactions on Circuits and Systems for Video Technology · 176

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

2025 · Yunlong Tang, Daiki Shimada, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 21

Generative AI for Cel-Animation: A Survey

2025 · Yunlong Tang, Junjia Guo, et al. · IEEE International Conference on Computer Vision Workshops · 19

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Discover and Mitigate Multiple Biased Subgroups in Image Classifiers

2024 · Zeliang Zhang, Mingqian Feng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 9

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MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety

2026 · Song, Jialin, Liu, Xiaodong, et al. · arXiv (Cornell University) · 3

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VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?

2025 · Yunlong Tang, Junjia Guo, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 3

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

2024 · Feng, Mingqian, Tang, Yunlong, et al. · arXiv (Cornell University) · 3

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

2024 · Zeliang Zhang, Zhuo Liu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 3

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Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting

2025 · Tang, Yunlong, Bi, Jing, et al. · arXiv (Cornell University) · 2

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

2024 · Zhang, Zeliang, Feng, Mingqian, et al. · arXiv (Cornell University) · 2

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