Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification. - Yongwei Wang; Mingquan Feng; Rabab Ward; Z. Jane Wang 001; Lanjun Wang (CoRR, 2020)

Explaining Point Processes by Learning Interpretable Temporal Logic Rules. - Shuang Li 002; Mingquan Feng; Lu Wang 029; Abdelmajid Essofi; Yufeng Cao; Junchi Yan; Le Song (ICLR, 2022)

Learning Neural Hamiltonian Dynamics: A Methodological Overview. - Zhijie Chen; Mingquan Feng; Junchi Yan; Hongyuan Zha (CoRR, 2022)

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method. - Mingquan Feng; Zhijie Chen; Yixin Huang; Yizhou Liu; Junchi Yan (AAAI, 2025)

PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark. - Mingquan Feng; Yixin Huang; Yizhou Liu; Bofang Jiang; Junchi Yan (ICLR, 2025)

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs. - Mingquan Feng; Yixin Huang; Weixin Liao; Yuhong Liu; Yizhou Liu; Junchi Yan (ICLR, 2025)

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches. - Mingquan Feng; Yixin Huang; Yifan Fu; Shaobo Wang 001; Junchi Yan (CoRR, 2025)

KITINet: Kinetics Theory Inspired Network Architectures with PDE Simulation Approaches. - Mingquan Feng; Yifan Fu; Tongcheng Zhang; Yu Jiang; Yixin Huang; Junchi Yan (CoRR, 2025)