Overview

Dongdong GE

  • Department:Data and Business Intelligence
  • Phone: 52301361
  • Title:Professor
  • Email:ddge@sjtu.edu.cn
Profile
  • 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.

Fold
Research
  • 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 GameX Zhao, Y Ding, D Ge, X XieSubmitted to MSOM. Available at SSRN 49558032024

    4. Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement LearningH Li, H Zhang, Z He, Y Jia, B Jiang, X Huang, D GeSubmitted to AAAI 2025. arXiv preprint arXiv:2409.009682024

    5.    Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPUQ Han, Z Lin, H Liu, C Chen, Q Deng, D Ge, Y YearXiv preprint arXiv:2407.150492024

    6.    An enhanced alternating direction method of multipliers-based interior point method for linear and conic optimizationQ Deng, Q Feng, W Gao, D Ge, B Jiang, Y Jiang, J Liu, T Liu, C Xue, Y Ye, C zhangINFORMS Journal on Computing2024

    7.    ORLM: Training Large Language Models for Optimization ModelingZ Tang, C Huang, X Zheng, S Hu, Z Wang, D Ge, B WangSubmitted to OR. arXiv preprint arXiv:2405.177432024

    8.    Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic ProgrammingY Huang, W Zhang, H Li, W Xue, D Ge, H Liu, Y YeSubmitted to IJOC. arXiv preprint arXiv:2405.161602024

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

    10.    Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz SmoothnessC Xie, C Li, C Zhang, Q Deng, D Ge, Y YeThe 38th Annual AAAI Conference on Artificial Intelligence AAAI 20242024

    11.    Learning to Pivot as a Smart ExpertT Liu, S Pu, D Ge, Y YeThe 38th Annual AAAI Conference on Artificial Intelligence AAAI 20242024

    12.  A Low-Rank ADMM Splitting Approach for Semidefinite ProgrammingQ Han, C Li, Z Lin, C Chen, Q Deng, D Ge, H Liu, Y YeMajor Revision on IJOC. arXiv preprint arXiv:2403.091332024

    13.  Decoupling Learning and Decision-Making: Breaking the  Barrier in Online Resource Allocation with First-Order MethodsW Gao, C Sun, C Xue, D Ge, Y YearXiv preprint arXiv:2402.071082024

    14.  Nonlinear modeling and interior point algorithm for the material flow optimization in petroleum refineryF Dong, D Ge, L Yang, Z Wei, S Guo, H XuElectronic Research Archive 32 (2), 915-9272024

    15.  A Homogenization Approach for Gradient-Dominated Stochastic OptimizationJ Tan, C Xue, C Zhang, Q Deng, D Ge, Y YeThe Conference on Uncertainty in Artificial Intelligence UAI 20242024

    16.  cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C languageH Lu, J Yang, H Hu, Q Huangfu, J Liu, T Liu, Y Ye, C Zhang, D GearXiv preprint arXiv:2312.148322023

    17.  A Universal Trust-Region Method for Convex and Nonconvex OptimizationY Jiang, C He, C Zhang, D Ge, B Jiang, Y YearXiv preprint arXiv:2311.114892023

    18.  Solving Linear Programs with Fast Online Learning AlgorithmsW Gao, D Ge, C Sun, Y Ye. ICML'23: Proceedings of the 40th International Conference on Machine Learning2023

    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 MethodsC He, Y Jiang, C Zhang, D Ge, B Jiang, Y Ye. Major Revision on Mathematical Programming. arXiv preprint arXiv:2306.175162023

    21.  Pre-trained Mixed Integer Optimization through Multi-variable Cardinality BranchingY Chen, W Gao, D Ge, Y YearXiv preprint arXiv:2305.123522023

    22.  Stochastic Dimension-reduced Second-order Methods for Policy OptimizationJ Liu, C Xie, Q Deng, D Ge, Y YearXiv preprint arXiv:2301.121742023

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

    24.  Cardinal Optimizer (COPT) user guideD Ge, Q Huangfu, Z Wang, J Wu, Y YearXiv preprint arXiv:2208.143142022

    25.  Bayesian dynamic learning and pricing with strategic customersX Chen, J Gao, D Ge, Z WangProduction and Operations Management 31 (8), 3125-31422022

    26.  DRSOM: A Dimension Reduced Second-Order MethodC Zhang, D Ge, C He, B Jiang, Y Jiang, Y YearXiv preprint arXiv:2208.002082022

    27.  Randomized Branching Strategy in Solving SCUC ModelR Cao, Y Chen, W Gao, J Gao, Y Zhang, C Lu, D Ge2022 4th International Conference on Power and Energy TechnologyICPET 2022

    28.  Hdsdp: Software for semidefinite programmingW Gao, D Ge, Y YeMinor Revision on ACM Transactions on Mathematical Software. arXiv preprint arXiv:2207.138622022

    29.  Optimization and operations research in mitigation of a pandemicCH Chen, YH Du, DD Ge, L Lei, YY YeJournal of the Operations Research Society of China 10 (2), 289-3042022

    30.  JD. com: Operations research algorithms drive intelligent warehouse robots to workH Qin, J Xiao, D Ge, L Xin, J Gao, S He, H Hu, JG CarlssonINFORMS Journal on Applied Analytics 52 (1), 42-552022

    31.  Uncertainty quantification for demand prediction in contextual dynamic pricingY Wang, X Chen, X Chang, D GeProduction and Operations Management 30 (6), 1703-17172021

    32.  From an interior point to a corner point: smart crossoverD Ge, C Wang, Z Xiong, Y YeMinor Revision on IJOC. arXiv preprint arXiv:2102.094202021

    33.  A Gradient Descent Method for Estimating the Markov Chain Choice ModelL Fu, DD GeJournal of the Operations Research Society of China, 1-112021

Fold
Teaching
  • Optimizaiton Theory,Intelligent Decision-Making

Fold