Mingquan Feng

According to our database, Mingquan Feng authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning.

Xiaohan Qin, Xiaoxing Wang, Ning Liao, Cancheng Zhang, Zhaoxiang Zhang, Mingquan Feng, Jingzhi Wang, Junchi Yan

CoRR, October, 2025

Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data?

Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang

CoRR, October, 2025

KITINet: Kinetics Theory Inspired Network Architectures with PDE Simulation Approaches.

Mingquan Feng, Yifan Fu, Tongcheng Zhang, Yu Jiang, Yixin Huang, Junchi Yan

CoRR, May, 2025

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches.

Mingquan Feng, Yixin Huang, Yifan Fu, Shaobo Wang, Junchi Yan

CoRR, May, 2025

HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs.

Mingquan Feng, Weixin Liao, Yixin Huang, Yifan Fu, Qifu Zheng, Junchi Yan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs.

Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark.

Mingquan Feng, Yixin Huang, Yizhou Liu, Bofang Jiang, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method.

Mingquan Feng, Zhijie Chen, Yixin Huang, Yizhou Liu, Junchi Yan

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

2022

Learning Neural Hamiltonian Dynamics: A Methodological Overview.

Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha

CoRR, 2022

Explaining Point Processes by Learning Interpretable Temporal Logic Rules.

Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification.

Yongwei Wang, Mingquan Feng, Rabab Ward, Z. Jane Wang, Lanjun Wang

CoRR, 2020