Hao Chen (谌昊)

Hao Chen (谌昊)

Machine Learning & Optimization

Publications

For a full list, please go to Google Scholar.

Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks

H Chen, C Qian, C Morris, A Lodi, C Li. Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks. arXiv (2026)

OptiChat: Bridging Optimization Models and Practitioners with Large Language Models

H Chen, GE Constante-Flores, KSI Mantri, SM Kompalli, AS Ahluwalia, C Li. OptiChat: Bridging Optimization Models and Practitioners with Large Language Models. INFORMS Journal on Data Science. (2025).

Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules

GE Constante-Flores, H Chen, C Li. Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules. The Thirty-ninth Annual Conference on Neural Information Processing Systems. (2025).

Physics-informed neural networks with hard linear equality constraints

H Chen, GE Constante-Flores, C Li. Physics-informed neural networks with hard linear equality constraints. Computers & Chemical Engineering 189, 108764. (2024).

Diagnosing Infeasible Optimization Problems Using Large Language Models

H Chen, GE Constante-Flores, C Li. Diagnosing Infeasible Optimization Problems Using Large Language Models. INFOR: Information Systems and Operational Research, 1–15. (2024).