I am a professor at the Antai College of Economics and Management of Shanghai Jiao Tong University and the dean of the Institute for Intelligent Computing(SJTU-IIC). I obtained my PhD from the Department of Management Science and Engineering at Stanford University in 2009. My main research interests are in the theory, computation, and application of large-scale optimization problems. I publish papers in journals and conferences across multiple fields such as MS/OR/TCS/AI, including OR, MOR, MP, POM, FOCS, SODA, EC, ICML, NeurIPS, etc..I'm also a co-founder and chief scientist of Cardinal Operations(shanshu.ai) and has participated in numerous optimization projects with companies and organizations worldwide, such as Boeing, Google, Huawei, JD.com, SF Express, DiDi, State Grid Corporation of China/Southern Power Grid, and China Southern Airlines. Currently, I serve as the project leader for China's first open-source mathematical programming software LEAVES and the first commerial mathematical programming software COPT project.

Recent Papers（2021-Present）：

1. Reward Learning From Preference With Ties, J Liu, D Ge, R Zhu, Submitted to AAAI 2025. arXiv preprint arXiv:2410.05328,2024

2. Dispatching Automated Guided Vehicles Using Efficient Data-Driven Optimization. H Qin, X Zhao, J Liu, D Ge, R Zhu. Submitted to MSOM. Available at SSRN 4959037, 2024

3. Early Birds versus Last-Minute Arrivals: Empirical Evidence and Theoretical Analysis of Arrival Time Queueing Game，X Zhao, Y Ding, D Ge, X Xie，Submitted to MSOM. Available at SSRN 4955803，2024

4. Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning，H Li, H Zhang, Z He, Y Jia, B Jiang, X Huang, D Ge，Submitted to AAAI 2025. arXiv preprint arXiv:2409.00968，2024

5.    Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU，Q Han, Z Lin, H Liu, C Chen, Q Deng, D Ge, Y Ye，arXiv preprint arXiv:2407.15049，2024

6.    An enhanced alternating direction method of multipliers-based interior point method for linear and conic optimization，Q Deng, Q Feng, W Gao, D Ge, B Jiang, Y Jiang, J Liu, T Liu, C Xue, Y Ye, C zhang，INFORMS Journal on Computing，2024

7.    ORLM: Training Large Language Models for Optimization Modeling，Z Tang, C Huang, X Zheng, S Hu, Z Wang, D Ge, B Wang，Submitted to OR. arXiv preprint arXiv:2405.17743，2024

8.    Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming，Y Huang, W Zhang, H Li, W Xue, D Ge, H Liu, Y Ye，Submitted to IJOC. arXiv preprint arXiv:2405.16160，2024

9.    Sketched Newton Value Iteration for Large-Scale Markov Decision Processes，J Liu, C Xie, Q Deng, D Ge, Y Ye，Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), AAAI 2024, 2024

10.    Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness，C Xie, C Li, C Zhang, Q Deng, D Ge, Y Ye，The 38th Annual AAAI Conference on Artificial Intelligence AAAI 2024，2024

11.    Learning to Pivot as a Smart Expert，T Liu, S Pu, D Ge, Y Ye，The 38th Annual AAAI Conference on Artificial Intelligence AAAI 2024，2024

12.  A Low-Rank ADMM Splitting Approach for Semidefinite Programming，Q Han, C Li, Z Lin, C Chen, Q Deng, D Ge, H Liu, Y Ye，Major Revision on IJOC. arXiv preprint arXiv:2403.09133，2024

13.  Decoupling Learning and Decision-Making: Breaking the  Barrier in Online Resource Allocation with First-Order Methods，W Gao, C Sun, C Xue, D Ge, Y Ye，arXiv preprint arXiv:2402.07108，2024

14.  Nonlinear modeling and interior point algorithm for the material flow optimization in petroleum refinery，F Dong, D Ge, L Yang, Z Wei, S Guo, H Xu，Electronic Research Archive 32 (2), 915-927，2024

15.  A Homogenization Approach for Gradient-Dominated Stochastic Optimization，J Tan, C Xue, C Zhang, Q Deng, D Ge, Y Ye，The Conference on Uncertainty in Artificial Intelligence UAI 2024，2024

16.  cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C language，H Lu, J Yang, H Hu, Q Huangfu, J Liu, T Liu, Y Ye, C Zhang, D Ge，arXiv preprint arXiv:2312.14832，2023

17.  A Universal Trust-Region Method for Convex and Nonconvex Optimization，Y Jiang, C He, C Zhang, D Ge, B Jiang, Y Ye，arXiv preprint arXiv:2311.11489，2023

18.  Solving Linear Programs with Fast Online Learning Algorithms，W Gao, D Ge, C Sun, Y Ye. ICML'23: Proceedings of the 40th International Conference on Machine Learning，2023

19. A Homogeneous Second-Order Descent Method for Nonconvex Optimization. Chuwen Zhang, Dongdong Ge, Chang He, Bo Jiang, Yuntian Jiang, Chenyu Xue, Yinyu Ye, Major Revision on Mathematics of Operations Research. 2023

20.  Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods，C He, Y Jiang, C Zhang, D Ge, B Jiang, Y Ye. Major Revision on Mathematical Programming. arXiv preprint arXiv:2306.17516，2023

21.  Pre-trained Mixed Integer Optimization through Multi-variable Cardinality Branching，Y Chen, W Gao, D Ge, Y Ye，arXiv preprint arXiv:2305.12352，2023

22.  Stochastic Dimension-reduced Second-order Methods for Policy Optimization，J Liu, C Xie, Q Deng, D Ge, Y Ye，arXiv preprint arXiv:2301.12174，2023

23.  SOLNP+: A Derivative-Free Solver for Constrained Nonlinear Optimization，D Ge, T Liu, J Liu, J Tan, Y Ye，ACM Transactions on Mathematical Software, Accepted, 2024. arXiv preprint arXiv:2210.07160.

24.  Cardinal Optimizer (COPT) user guide，D Ge, Q Huangfu, Z Wang, J Wu, Y Ye，arXiv preprint arXiv:2208.14314，2022

25.  Bayesian dynamic learning and pricing with strategic customers，X Chen, J Gao, D Ge, Z Wang，Production and Operations Management 31 (8), 3125-3142，2022

26.  DRSOM: A Dimension Reduced Second-Order Method，C Zhang, D Ge, C He, B Jiang, Y Jiang, Y Ye，arXiv preprint arXiv:2208.00208，2022

27.  Randomized Branching Strategy in Solving SCUC Model，R Cao, Y Chen, W Gao, J Gao, Y Zhang, C Lu, D Ge，2022 4th International Conference on Power and Energy Technology，ICPET 2022

28.  Hdsdp: Software for semidefinite programming，W Gao, D Ge, Y Ye，Minor Revision on ACM Transactions on Mathematical Software. arXiv preprint arXiv:2207.13862，2022

29.  Optimization and operations research in mitigation of a pandemic，CH Chen, YH Du, DD Ge, L Lei, YY Ye，Journal of the Operations Research Society of China 10 (2), 289-304，2022

30.  JD. com: Operations research algorithms drive intelligent warehouse robots to work，H Qin, J Xiao, D Ge, L Xin, J Gao, S He, H Hu, JG Carlsson，INFORMS Journal on Applied Analytics 52 (1), 42-55，2022

31.  Uncertainty quantification for demand prediction in contextual dynamic pricing，Y Wang, X Chen, X Chang, D Ge，Production and Operations Management 30 (6), 1703-1717，2021

32.  From an interior point to a corner point: smart crossover，D Ge, C Wang, Z Xiong, Y Ye，Minor Revision on IJOC. arXiv preprint arXiv:2102.09420，2021

33.  A Gradient Descent Method for Estimating the Markov Chain Choice Model，L Fu, DD Ge，Journal of the Operations Research Society of China, 1-11，2021

Optimizaiton Theory，Intelligent Decision-Making