Chen, Minghua

13 publications

ICLR 2026 Gauge Flow Matching: Efficient Constrained Generative Modeling over General Convex Set and Beyond Xinpeng Li, Enming Liang, Minghua Chen

ICLR 2026 On the Universality and Complexity of GNN for Solving Second-Order Cone Programs Ruizhe Li, Enming Liang, Minghua Chen

ICML 2025 Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set Enming Liang, Minghua Chen

NeurIPS 2025 Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set Chenghao Liu, Enming Liang, Minghua Chen

ICLRW 2025 Gauge Flow Matching for Efficient Constrained Generative Modeling over General Convex Set Xinpeng Li, Enming Liang, Minghua Chen

AAAI 2025 Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation Jinda Xu, Yuhao Song, Daming Wang, Weiwei Zhao, Minghua Chen, Kangliang Chen, Qinya Li

ICML 2024 Characterizing ResNet’s Universal Approximation Capability Chenghao Liu, Enming Liang, Minghua Chen

ICLR 2024 Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns Hongbin Huang, Minghua Chen, Xiao Qiao

ICLR 2024 Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping Enming Liang, Minghua Chen

JMLR 2024 Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Constrained Optimization Enming Liang, Minghua Chen, Steven H. Low

ICML 2024 ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate Chenghao Liu, Minghua Chen

ICLR 2023 Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints Tianyu Zhao, Xiang Pan, Minghua Chen, Steven Low

ICML 2023 Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set Enming Liang, Minghua Chen, Steven Low