"PDOT: a Practical Primal-Dual Algorithm and a GPU-Based Solver for Optimal Transport."

Lu, Haihao and Jinwen Yang, MIT Sloan Working Paper 7124-24. Cambridge, MA: MIT Sloan School of Management, July 2024. arXiv Preprint.

"Restarted Halpern PDHG for Linear Programming."

Lu, Haihao and Jinwen Yang, MIT Sloan Working Paper 7125-24. Cambridge, MA: MIT Sloan School of Management, July 2024. arXiv Preprint.

"A J-symmetric Quasi-newton Method for Minimax Problems."

Asl, Azam, Haihao Lu, and Jinwen Yang. Mathematical Programming Vol. 204, No. 1-2 (2024): 207-254.

"Optimizing Scalable Targeted Marketing Policies with Constraints."

Lu, Haihao, Duncan Simester, and Yuting Zhu, MIT Sloan Working Paper 7101-23. Cambridge, MA: MIT Sloan School of Management, January 2024. arXiv Preprint.

"Infeasibility Detection with Primal-dual Hybrid Gradient for Large-scale Linear Programming."

Applegate, David, Mateo Díaz, Haihao Lu, and Miles Lubin. SIAM Journal on Optimization Vol. 34, No. 1 (2024).

"On the Linear Convergence of Extra-gradient Methods for Nonconvex-nonconcave Minimax Problems."

Hajizadeh, Saeed, Haihao Lu, and Benjamin Grimmer. INFORMS Journal on Optimization Vol. 6, No. 1 (2024): 19-31. arXiv Preprint.