Mingqian Feng

According to our database, Mingqian Feng authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Jialin Song, Xiaodong Liu, Weiwei Yang, Wuyang Chen, Mingqian Feng, Xuekai Zhu, Jianfeng Gao

CoRR, May, 2026

Video Understanding With Large Language Models: A Survey.

Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Pinxin Liu, Mingqian Feng, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu

IEEE Trans. Circuits Syst. Video Technol., February, 2026

SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks.

Mingqian Feng, Xiaodong Liu, Weiwei Yang, Jialin Song, Xuekai Zhu, Chenliang Xu, Jianfeng Gao

CoRR, February, 2026

Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling.

Mingqian Feng, Xiaodong Liu, Weiwei Yang, Chenliang Xu, Christopher White, Jianfeng Gao

CoRR, January, 2026

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

Yolo Yunlong Tang, Jing Bi, Chao Huang, Susan Liang, Daiki Shimada, Hang Hua, Yunzhong Xiao, Yizhi Song, Pinxin Liu, Mingqian Feng, Junjia Guo, Zhuo Liu, Luchuan Song, Ali Vosoughi, Jinxi He, Liu He, Zeliang Zhang, Jiebo Luo, Chenliang Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Forward Learning with Differential Privacy.

Mingqian Feng, Zeliang Zhang, Jinyang Jiang, Yijie Peng, Chenliang Xu

CoRR, April, 2025

MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness.

Yunlong Tang, Pinxin Liu, Mingqian Feng, Zhangyun Tan, Rui Mao, Chao Huang, Jing Bi, Yunzhong Xiao, Susan Liang, Hang Hua, Ali Vosoughi, Luchuan Song, Zeliang Zhang, Chenliang Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FLOPS: Forward Learning with OPtimal Sampling.

Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Generative AI for Cel-Animation: A Survey.

Yunlong Tang, Junjia Guo, Pinxin Liu, Zhiyuan Wang, Hang Hua, Jia-Xing Zhong, Yunzhong Xiao, Chao Huang, Luchuan Song, Susan Liang, Yizhi Song, Liu He, Jing Bi, Mingqian Feng, Xinyang Li, Zeliang Zhang, Chenliang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?

Yunlong Tang, Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li, Rui Mao, Chao Huang, Jing Bi, Zeliang Zhang, Pooyan Fazli, Chenliang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

CoRR, 2024

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

Mingqian Feng, Yunlong Tang, Zeliang Zhang, Chenliang Xu

CoRR, 2024

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

Zeliang Zhang, Zhuo Liu, Mingqian Feng, Chenliang Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers.

Zeliang Zhang, Mingqian Feng, Zhiheng Li, Chenliang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations.

Weiyu Zong, Mingqian Feng, Griffin Heyrich, Peter Chin

CoRR, 2022