师资资源
葛冬冬
- 系 别:数据与商务智能系
- 办公电话: 52301361
- 职 称:教授
- 电子邮箱:ddge@sjtu.edu.cn
教师简介
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上海交通大学智能计算研究院院长、数据与商务智能系特聘教授。目前主持国家自然科学基金杰出青年项目,重大项目。曾主持国家自然科学基金原创探索项目等。负责数学规划开源求解器LEAVES,及数学规划专业求解器COPT的开发。也负责上海市数学优化算法技术创新中心、上海市求解器自主研发与产业应用协同创新中心,也参与上海数学与交叉学科研究院人工智能中心建设。
研究方向:超大规模数学优化问题的理论、算法与软件研发,及其在供应链、制造、交通、能源、量子计算等领域的应用。1,LP,MILP,SDP,SOCP等问题的算法理论分析与软件开发;2,基于GPU的新一代数学规划算法设计以及类CUDA数值计算库函数建设;3,大模型训练推理中的算法优化,及决策大模型的训练与应用。
我们在安泰经管学院和人工智能学院均有硕士、博士和博士后招生,欢迎在人工智能或数学规划领域有着强烈科研兴趣,且学术背景和学术训练优秀的同学跟我们联系。(请务必仔细阅读本人的科研论文,确认兴趣对口,泛泛套瓷不详细说明科研兴趣对口的恕不回信。)
同时,我们非常注重本科生科研培养,过去十年已有近100位来自清北华五、上财、海外多高校的本科同学在我们指导下进行科研,并到多所世界名校读博,已有30多位已经毕业,多位在Columbia,NYU,UCL,HKU,复旦等名校任教。欢迎有志于数学优化、人工智能、管理科学等方向研究,本科期间成绩卓越的同学联系我们进行科研工作。
教育经历:
2004-08 至 2009-08, 斯坦福大学, 管理科学与工程, 博士
1999-08 至 2004-07, 纽约州立大学石溪分校, 数学,计算机,硕士
1995-07 至 1999-07, 南开大学, 数学, 学士
工作经历:
2024至今, 上海交通大学, 安泰经济与管理学院, 特聘教授;智能计算研究院,院长
2013-2023,上海财经大学, 信息管理与工程学院, 教授;交叉科学研究院,院长
2009-2013, 上海交通大学, 安泰经济与管理学院, 讲师,副教授
科学研究
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近期论文(过去五年)
PDCS: A Primal-Dual Large-Scale Conic Programming Solver with GPU Enhancements, Z Xiong, Z Lin, D Ge, Y Ye, https://arxiv.org/abs/2505.00311, 2025
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,Accepted, Informs Journal on Computing, arXiv preprint arXiv:2403.09133,2025
A Homogeneous Second-Order Descent Method for Nonconvex Optimization. Chuwen Zhang, Dongdong Ge, Chang He, Bo Jiang, Yuntian Jiang, Chenyu Xue, Yinyu Ye, Accepted, Mathematics of Operations Research. 2025
Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods,C He, Y Jiang, C Zhang, D Ge, B Jiang, Y Ye. Accepted, Mathematical Programming. arXiv preprint arXiv:2306.17516,2025
ORLM: Training Large Language Models for Optimization Modeling,Z Tang, C Huang, X Zheng, S Hu, Z Wang, D Ge, B Wang,Accepted, Operations Research. arXiv preprint arXiv:2405.17743,2025
From an interior point to a corner point: smart crossover,D Ge, C Wang, Z Xiong, Y Ye, Informs Journal on Computing, https://doi.org/10.1287/ijoc.2022.0291, 2025
Algorithm XXXX: Hdsdp: Software for semidefinite programming,W Gao, D Ge, Y Ye,ACM Transactions on Mathematical Software. https://doi.org/10.1145/372112, 2025
Alhorithm 1053: SOLNP+: A Derivative-Free Solver for Constrained Nonlinear Optimization,D Ge, T Liu, J Liu, J Tan, Y Ye,ACM Transactions on Mathematical Software, https://doi.org/10.1145/369995, 2024.
Reward Learning From Preference With Ties, J Liu, D Ge, R Zhu, Submitted to AAAI 2025. arXiv preprint arXiv:2410.05328,2024
Dispatching Automated Guided Vehicles Using Efficient Data-Driven Optimization. H Qin, X Zhao, J Liu, D Ge, R Zhu. Submitted. Available at SSRN 4959037, 2024
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. Available at SSRN 4955803,2024
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, arXiv preprint arXiv:2409.00968, 2024
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
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
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, arXiv preprint arXiv:2405.16160,2024
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
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
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
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,submitted, arXiv preprint arXiv:2402.07108,2024
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
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
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
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
Pre-trained Mixed Integer Optimization through Multi-variable Cardinality Branching,Y Chen, W Gao, D Ge, Y Ye,arXiv preprint arXiv:2305.12352,2023
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
Cardinal Optimizer (COPT) user guide,D Ge, Q Huangfu, Z Wang, J Wu, Y Ye,arXiv preprint arXiv:2208.14314,2022
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
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
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
Optimization and operations research in mitigation of a pandemic,CH Chen, YH Du, DD Ge, L Lei, Y Ye,Journal of the Operations Research Society of China 10 (2), 289-304,2022
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
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
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
主讲课程
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优化算法,智能决策,人工智能在人文学科中的应用