An effective and automatic approach for parameters optimization of complex end milling process based on virtual machining. - Hengyuan Ma; Wei Liu 056; Xionghui Zhou; Qiang Niu; Chuipin Kong (J. Intell. Manuf., 2020)

Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling. - Hengyuan Ma; Li Zhang 040; Xiatian Zhu; Jianfeng Feng (ECCV (23), 2022)

Accelerating Score-based Generative Models for High-Resolution Image Synthesis. - Hengyuan Ma; Li Zhang 040; Xiatian Zhu; Jingfeng Zhang; Jianfeng Feng (CoRR, 2022)

Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification. - Hengyuan Ma; Yang Qi; Li Zhang 040; Wenlian Lu; Jianfeng Feng (CoRR, 2023)

Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes. - Hengyuan Ma; Yang Qi; Pulin Gong; Jie Zhang 012; Wenlian Lu; Jianfeng Feng (Neural Comput., 2023)

Efficient Combinatorial Optimization via Heat Diffusion. - Hengyuan Ma; Wenlian Lu; Jianfeng Feng (NeurIPS, 2024)

Uncertainty Quantification in Working Memory via Moment Neural Networks. - Hengyuan Ma; Wenlian Lu; Jianfeng Feng (CoRR, 2024)

Stochastic Forward-Forward Learning through Representational Dimensionality Compression. - Zhichao Zhu; Yang Qi; Hengyuan Ma; Wenlian Lu; Jianfeng Feng (CoRR, 2025)

Preconditioned Score-Based Generative Models. - Hengyuan Ma; Xiatian Zhu; Jianfeng Feng; Li Zhang 040 (Int. J. Comput. Vis., 2025)