News

• [10-10-2026] Recognized as a NeurIPS 2026 Top Area Chair.

• [09-17-2026] PhyWorld has been accepted to DAI 2026 for an oral presentation. I am the corresponding author. [accepted papers]

• [08-23-2026] I gave a talk on “Future Industries: Development Directions, Priorities, and Strategic Layout” at the New Industrialization Think Tank meeting under the guidance of China’s Ministry of Industry and Information Technology.

• [08-21-2026] Cutting CPU Power Without Missing Tails for Polling-Based I/O Frameworks has been accepted to EuroSys 2027 (Spring).

• [08-13-2026] I have been invited by the organizers of ICLR 2027 to serve as an Area Chair.

• [07-09-2026] Congratulations to my student Xiyuan on receiving the Strengthening Foundation Plan Science & Innovation Practice Project from the School of Mathematical Sciences.

• [20-06-2026] Congratulations to Mingrui received the Zhiyuan Honors Bachelor Degree!

• [27-05-2026] One paper has been accepted by TPAMI. Congrats to Haoyang!

• [14-05-2026] I am selected as an ICML 2026 Gold Reviewer.

• [04-03-2026] I have been invited by the organizers of NeurIPS 2026 to serve as an Area Chair.

• [11-03-2025] Congratulations to our group received 19th “Challenge Cup”, “AI+” Category, Grand Prize [certificate] [media] [pic1] [pic2].

• [10-17-2025] I am selected as a NeurIPS 2025 “Reviewer : Top Reviewer”.

• [09-25-2025] I gave a talk on the workshop of 2025 Learning to Optimize in the Era of Large ModelsFrom Algorithmic Innovation to Cross-Industry Applications organized by Huawei.

• [09-19-2025] Three papers have been accepted by NeurIPS 2025. Congrats to all co-authors!

• [09-05-2025] I have been invited by the organizers of ICLR 2026 to serve as an Area Chair.

• [08-27-2025] I am selected as Principal Investigator as National Natural Science Foundation of China: Young Scientist Program.

• [06-26-2025] I am selected as Principal Investigator as Shanghai Municipal Basic Research Program: Natural Science Foundation.

• [06-17-2025] Congratulations to Jiexiang for having his undergraduate thesis selected among the top 5% as an Outstanding Thesis by the School of Computer Science, Shanghai Jiao Tong University!

• [04-09-2025] One paper has been accepted by TPAMI. Congrats to Yufei!

• [03-20-2025] Two papers have been accepted by ICLR 2025. Congrats to Zijie and Haoyang!

• [09-30-2024] I have concluded my period at Huawei Noah's Ark Lab. It was an exceptional chapter in my career. In October, I shall commence my role as an Assistant Professor at the School of Computer Science, Shanghai Jiao Tong University.

About

Currently, Xijun Li is an Assistant Professor and Ph.D. supervisor at the School of Computer Science, Shanghai Jiao Tong University, as well as a faculty member of the Shanghai Key Laboratory of Scalable Computing and Systems. Previously, he was a principal researcher at Huawei Noah's Ark Lab from 2018 to 2024. He received his Ph.D. degree from the University of Science and Technology of China in March 2024 through the HUAWEI-USTC Joint Ph.D. Program, under the supervision of Prof. Jie Wang. He received his master's degree from Shanghai Jiao Tong University in 2018, under the supervision of Prof. Jianguo Yao. He has published papers in leading peer-reviewed conferences and journals, including TPAMI, NeurIPS, ICLR, ICML, KDD, ICDE, and SIGMOD, and has filed and published a series of patents. He has also served as an Area Chair for top-tier AI conferences, such as ICLR and NeurIPS. His recent research interests focus on Learning to Optimize (L2O) and large language models for optimization and reasoning. He was also one of the core developers of the Huawei Cloud OptVerse AI Solver and Huawei Pangu Large Language Models.

Experience

• On Secondment, Ministry of Science and Technology of the P.R. China, Jan. 2026 - present

• Assistant Professor, Shanghai Jiao Tong University, Oct. 2024 - present

• Principal Researcher, Huawei Noah's Ark Lab, Mar. 2024 - Sept. 2024

• Senior Research Engineer A, Huawei Noah's Ark Lab, Mar. 2022 - Feb. 2024

• Senior Research Engineer B, Huawei Noah's Ark Lab, Dec. 2019 - Feb. 2022

• Research Engineer, Huawei Noah's Ark Lab, Apr. 2018 - Nov. 2019

• Research Intern, Huawei Noah's Ark Lab, Aug. 2017 - Mar. 2018

Research

Recent Interest

• Learning to Optimize

• Embodied Intelligence and Long-Horizon Planning

• Large Language Model for Optimization/Reasoning

• Large Language Model for Code Optimization

• Mathematical Programming Solver

• Reinforcement Learning

• Operational Research

• Meta-Heuristic Algorithms

• Applications in Logistics, Supply Chain, Storage Systems, etc.

Publication

^# denotes the corresponding author.

1. Bernhard Linn Hilmarsson, Vamanan Arulchelvan, Arash Tavakkol, Li Liu, Weihong Xu, Xiangyu Zhu, Xijun Li, Shai Bergman, Ji Zhang: Cutting CPU Power Without Missing Tails for Polling-Based I/O Frameworks. EuroSys 2027 (Spring)

2. Chao Shen, Yunfan Zhou, Zhihai Wang, Xijun Li^#, Jianguo Yao, Haibing Guan: PhyWorld: Unified Semantic and Physical Reasoning for Physics-Native 3D Scene Generation. DAI 2026 (Oral) [accepted]

3. Haoyang Liu, Jie Wang, Yufei Kuang, Xijun Li, Yongdong Zhang, Feng Wu: Promoting Generalization for Exact Combinatorial Solvers via Adversarial Instance Augmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [pdf]

4. Kaijun Zhou, DaPeng, Qiwei Chen, Zhiyang Li, Xijun Li, Jinyu Gu: Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment. ICML 2026 [pdf]

5. Mengqi Guo, Xijun Li, Jianguo Yao: Level-Up: Iterative Optimization of Collaborative Planning and Solving Mechanism for Reasoning. CSCWD 2026 [pdf]

6. Xijun Li, Jiexiang Yang, Jinghao Wang, Bo Peng, Jianguo Yao, Haibing Guan: STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization. NeurIPS 2025 [pdf] [code]

7. Mingxuan Ye, Jie Wang, Fangzhou Zhu, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye HAO, Feng Wu: Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph. NeurIPS 2025 [pdf]

8. Kaijun Zhou, Xingyu Yan, Xingda Wei, Xijun Li, Jinyu Gu: Multimodal Generation Made Efficient with Speculative Diffusion and Speculative Verification. NeurIPS 2025 [pdf]

9. Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu: Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [pdf]

10. Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye HAO, Bin Li, Feng Wu: Differentiable Integer Linear Programming. ICLR 2025 (Spotlight) [pdf]

11. Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye HAO, Feng Wu: Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming. ICLR 2025 [pdf]

12. Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Bin Li, Yongdong Zhang, Feng Wu: MILP-StuDio: MILP Instance Generation via Block Structure Decomposition. NeurIPS 2024 [pdf]

13. Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu: Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [pdf]

14. Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye HAO, Yongdong Zhang, Feng Wu: A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. ICML 2024 [pdf]

15. Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye HAO, Feng Wu: Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. ICML 2024 [pdf]

16. Hankun Cao, Shai Bergman, Si Sun, Yanbo Albert Zhou, Xijun Li, Jun Gao, Zhuo Cheng, Ji Zhang: Answering the Call to ARMs with PACER: Power-Efficiency in Storage Servers. MSST 2024 [pdf]

17. Kecheng Huang, Xijun Li, Mingxuan Yuan, Ji Zhang, Zili Shao: Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems. ICDE 2024 [pdf]

18. Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye HAO, Bin Li, Feng Wu: Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. ICLR 2024 [pdf]

19. Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan: L2P-MIP: Learning to Presolve for Mixed Integer Programming. ICLR 2024 [pdf]

20. Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu: A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability. NeurIPS 2023 (Spotlight) [page] [pdf] [code]

21. Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan: HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD 2023 [pdf] [code]

22. Xijun Li, Qingyu Qu, Fangzhou Zhu, Jia Zeng, Mingxuan Yuan, Jie Wang: Accelerating Linear Programming Solving by Exploiting the Performance Variability via Reinforcement Learning. AAAI 2023 workshop on AI to Accelerate Science and Engineering [pdf] [poster] [slides] [video]

23. Xijun Li, Zhihai Wang, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu: Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. ICLR 2023 [pdf] [slides] [code (MindSpore)] [code (PyTorch)] [media]

24. Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan: ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR 2023 [pdf] [code]

25. Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu: Layout Decomposition via Boolean Satisfiability. DAC 2023 [pdf] [slides]

26. Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yaun: SGDP: A Stream-Graph Neural Network Based Data Prefetcher. IJCNN 2023 [pdf] [code]

27. Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin, Junchi Yan: Machine Learning Methods in Solving the Boolean Satisfiability Problem. Machine Intelligence Research Journal [pdf]

28. Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Junchi Yan, Mingxuan Yuan: A Survey for Solving Mixed Integer Programming via Machine Learning. Neurocomputing Journal [pdf]

29. Qingyu Qu, Kexin Liu, Xijun Li, Yunfan Zhou, Jinhu Lv: Satellite Observation and Data-Transmission Scheduling using Imitation Learning based on Mixed Integer Linear Programming. IEEE Transactions on Aerospace and Electronic Systems, TAES [pdf]

30. Ji Zhang, Xijun Li, Xiyao Zhou, Mingxuan Yuan, Zhuo Cheng, Keji Huang, Yifan Li: L-QoCo: learning to optimize cache capacity overloading in storage systems. DAC 2022: 379-384 (CCF A) [pdf]

31. Xijun Li, Yunfan Zhou, Jinhong Luo, Mingxuan Yuan, Jia Zeng, Jianguo Yao: Learning to Optimize DAG Scheduling in Heterogeneous Environment. MDM 2022: 137-146 (CCF C) [pdf] [video] [slides]

32. Qingyu Qu, Xijun Li, Yunfan Zhou; Yordle: An Efficient Imitation Learning for Branch and Bound. NeurIPS 2021 ML4CO Competition [pdf]

33. Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lü, Jia Zeng: Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. ICDE 2021: 2511-2522 (CCF A) [pdf] [slides]

34. Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng: Learning-Aided Heuristics Design for Storage System. SIGMOD 2021: 2597-2601 (CCF A) [pdf] [video]

35. Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng: Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Transactions on Cybernetics 52(8): 8326-8339 (2022) (CCF B) [pdf]

36. Hui-Ling Zhen, Zhenkun Wang, Xijun Li, Qingfu Zhang, Mingxuan Yuan, Jia Zeng; Accelerate the optimization of large-scale manufacturing planning using game theory. Complex & Intelligent Systems; 1-12 [pdf]

37. Xijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, Jia Zeng: A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint. KDD 2018: 528-536 (CCF A) [pdf] [video] [media]

38. Xijun Li, Jianguo Yao, Mingxuan Yuan, Jia Zeng: A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching. CIKM 2018: 2273-2281 (CCF B) [pdf]

39. Xijun Li, Jianguo Yao, Xue Liu, Haibing Guan: A First Look at Information Entropy-Based Data Pricing. ICDCS 2017: 2053-2060 (CCF B) [pdf]

40. Xijun Li, Shanghai Jiao Tong University: Information-Entropy-Based Pricing for Data Transactions [master thesis]

Grant

1. (PI) National Natural Science Foundation of China: Young Scientist Program

2. (PI) Shanghai Municipal Basic Research Program: Natural Science Foundation

3. (PI) “AI for Engineering” Empowerment Program, Category B, at SJTU

4. (PI) Startup Fund for Young Faculty at SJTU

5. (PI) Funding Program from Aviation Key Laboratory of Science and Technology on Aerospace Vehicle

6. (Core) National Key Research and Development Program of China on the Next Generation Artificial Intelligence under the National Science and Technology Innovation 2030 Initiative​

Selected Award

• 19th “Challenge Cup”, “AI+” Category, Grand Prize (as instructor), 2025, Central Committee of the Communist Youth League of China, China Association for Science and Technology, Ministry of Education, et al. [certificate]

• Battlefield Heroes Award, 2024, 2012 Labs, Huawei Technologies [certificate]

• Siye Special Research Award for Pangu LLM, 2024, 2012 Labs, Huawei Technologies [certificate]

• Presidential Individual Award, 2023, 2012 Labs, Huawei Technologies [certificate]

• Presidential Individual Award, 2023, Supply Chain Department, Huawei Technologies [certificate]

• Battlefield Heroes Award, 2022, 2012 Labs, Huawei Technologies [certificate]

• Quality Star Award, 2021, 2012 Labs, Huawei Technologies [certificate]

• Gold Medal Team Award, 2020, 2012 Labs, Huawei Technologies [certificate1] [certificate2]

• Innovation Pioneer Award, 2020, 2012 Labs, Huawei Technologies [certificate]

• Excellent New Employee, 2018, 2012 Labs, Huawei Technologies [certificate]

• Outstanding Graduate, Jun 2018, Shanghai Jiao Tong University [certificate]

• National Scholarship, 2017, Chinese Ministry of Education [certificate]

• National Scholarship, 2014, Chinese Ministry of Education [certificate]

• Skyworth Enterprise Scholarship, First Prize, 2015, Skyworth Enterprise [certificate]

• Mathematical Contest in Modeling, Meritorious Award, 2014, Consortium for Mathematics and Its Applications [certificate]

Patent

1. CN122308802A End-to-end generation of FPGA-executable programs for Xilinx environments: Xijun Li, Tianyu Wang, Jianguo Yao

2. CN120996196A Long-horizon planning with foundation models and symbolic solvers in open embodied environments: Xijun Li, Ye Zhu, Jianguo Yao

3. CN120578395A Structure-aware code generation for combinatorial optimization problems: Xijun Li, Jianguo Yao

4. CN116661676A Bandwidth control method, data processing system, and related devices: Xijun Li, Yunfan Zhou, Wensi Li, Ji Zhang, Mingxuan Yuan

5. CN111738409A Resource scheduling method and related devices: Xijun Li, Weilin Luo, Jiawen Lu, Mingxuan Yuan

6. CN116468099A Model structure optimization method and apparatus: Xijun Li, Fangzhou Zhu, Huiling Zhen, Xiaojin Fu, Meng Lu, Jia Zeng, Mingxuan Yuan

7. CN115496247A Service data processing method and apparatus: Xijun Li, Xiaotian Hao, Mingxuan Yuan, Jianye Hao, Jia Zeng

8. CN117370715A Cloud-based objective-function solving method, apparatus, and computing device: Xijun Li, Jianshu Li, Zhihai Wang, Jia Zeng

9. 92041897CN02 Mathematical-programming instance generation method, system, and electronic device: Xijun Li, Zhiwu An, Fangzhou Zhu, Zijie Geng, Jie Wang

10. CN117371674A Goal-programming solution method, node-selection method, and apparatus: Xijun Li, Muming Yang, Yufei Kuang, Jia Zeng

11. CN116933908A Computer-task processing method and related devices: Meng Lu, Huiling Zhen, Xijun Li, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng

12. CN111915060A Combinatorial-optimization task processing method and apparatus: Huiling Zhen, Zhenkun Wang, Xijun Li, Qingfu Zhang, Mingxuan Yuan

13. CN114237835A Task-solving method and apparatus: Fangzhou Zhu, Wanqian Luo, Huiling Zhen, Xijun Li, Mingxuan Yuan, Jia Zeng

14. CN112818280B Information processing method and related devices: Huiling Zhen, Zhenkun Wang, Qingfu Zhang, Xijun Li, Xiongwei Han

15. CN114117715A Multi-objective task optimization method and apparatus: Zhenkun Wang, Huiling Zhen, Xijun Li, Qingfu Zhang, Mingxuan Yuan

16. CN116050522A Presolve configuration method and apparatus: Weilin Luo, Bowen Pang, Xijun Li, Chang Liu, Junchi Yan, Jia Zeng

17. CN116483633A Data augmentation method and related apparatus: Junhua Huang, Wanqian Luo, Xijun Li, Huiling Zhen, Yang Li, Junchi Yan

18. CN117422206B Method, device, and storage medium for improving engineering decision and scheduling efficiency: Jie Wang, Haoyang Liu, Yufei Kuang, Xijun Li, Yongdong Zhang, Feng Wu

19. CN121387435A Cross-virtual-machine collaborative parallel computing for blockchain as a service: Jianguo Yao, Bingjie Tu, Shicai Luo, Wei Jin, Xijun Li

20. CN122734452A Event-level sample construction for compound spacecraft faults using controlled simulation: Renjun He, Qi Liu, Xijun Li, Mingrui Yu, Yuanpeng Fang, Jianglei Zhu, Huan Chen, Jie Zhang, Wuji Liu, Ting Li

21. CN122734602A Evidence-constrained multistage diagnosis and audit triage for spacecraft faults: Renjun He, Mingrui Yu, Xijun Li, Qi Liu, Yuanpeng Fang, Jianglei Zhu, Huan Chen, Jie Zhang, Wuji Liu, Ting Li

Preprint

1. Xijun Li, Qingyu Qu, Fangzhou Zhu, Jia Zeng, Mingxuan Yuan, Kun Mao, Jie Wang: Learning to Reformulate for Linear Programming. [arxiv]

2. Xijun Li, Yunfan Zhou, Ji Zhang: PASCAL - A Learning-aided Cooperative Bandwidth Control Policy for Hierarchical Storage Systems. [arxiv]

3. Jie Wang, Zijie Geng, Xijun Li, Jianye Hao, Yongdong Zhang, Feng Wu: G2MILP: Learning to Generate Mixed-Integer Linear Programming Instances for MILP Solvers [techrxiv]

4. Yunfan Zhou, Xijun Li, Qingyu Qu: Offline Reinforcement Learning with Adaptive Behavior Regularization. [arxiv]

5. Qingyu Qu, Xijun Li, Yunfan Zhou, Jia Zeng, Mingxuan Yuan, Jie Wang, Jinhu Lv, Kexin Liu, Kun Mao: An Improved Reinforcement Learning Algorithm for Learning to Branch. [arxiv]

6. Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu: A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design [arxiv]

7. Haoyang Liu, Yufei Kuang, Jie Wang, Xijun Li, Yongdong Zhang, Feng Wu: Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation. [arxiv]

8. Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin, Junchi Yan: Machine Learning Methods in Solving the Boolean Satisfiability Problem. [arxiv]

9. Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Junchi Yan, Mingxuan Yuan: A Survey for Solving Mixed Integer Programming via Machine Learning. [arxiv]

10. Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo: Introduction to The Dynamic Pickup and Delivery Problem Benchmark–ICAPS 2021 Competition. [arxiv]

11. Xinyan Chen, Wenxuan Guo, Yang Li, Wanqian Luo, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Junchi Yan: Proceedings of SAT Competition 2022: Solver and Benchmark Descriptions [pdf] [link]

Competitions

1. 3rd Place, Parallel Track, SAT Competition 2023 [result] [solution]

2. 1st Place, Student Learderboard in Dual Track, NeurIPS 2021 ML4CO Competition [result] [media] [solution]

3. Meritorious Award, Mathematical Contest in Modeling (MCM) 2014, Consortium for Mathematics and Its Applications [certificate]

Software

1. Machine Learning Inside the OptVerse AI Solver: Design Principles and Applications [page]

2. AI Drives Broad Solver-Performance Breakthroughs as Noah’s Ark Lab Helps OptVerse Top Five Authoritative Rankings [page]

Teaching

1. (Teacher) GE6001: Scientific Writing, Integrity and Ethics, Shanghai Jiao Tong University, 2025-2026, Autumn

2. (Teacher) CAMP1205-01: Introduction to Computation, Shanghai Jiao Tong University, 2024-2025, Summer

3. (Teacher) WZY2025-2026-1: Introduction to Python Programming, Shanghai Jiao Tong University, 2024-2025, Fall

4. (Assitant) SE3332: Introduction to Machine Learning, Shanghai Jiao Tong University, 2024-2025, Spring

Invited Talk

• “Integrating Graph Structural Priors with Language Models for Combinatorial Optimization,” at the 2025 Learning to Optimize in the Era of Large Models: From Algorithmic Innovation to Cross-Industry Applications workshop [2025 Learning to Optimize in the Era of Large ModelsFrom Algorithmic Innovation to Cross-Industry Applications]

• “OptVerse AI Solver and Applied Operations Optimization,” at the AI4OR workshop, National University of Defense Technology [National Univesrity of Defense Technology]

• “Order Matters: Boosting Mathematical Programming Solvers via Machine Learning Techniques,” at MOS2023, Operations Research Society of China [MOS2023, Operations Research Society of China] [slides (updated)]

• “Order Matters: Boosting Mathematical Programming Solvers via Machine Learning Techniques,” at The Chinese University of Hong Kong, Shenzhen and Shenzhen Research Institute of Big Data [The Chinese University of Hong Kong, Shenzhen] [Shenzhen Research Institute of Big Data] [slides] [video]

• “Frontiers of Learning to Optimize,” at the CUHK-Shenzhen–Huawei Computing Mathematics Forum and the MIRA Lab Seminar, University of Science and Technology of China [CUHK-Shenzhen–Huawei Computing Mathematics Forum] [MIRA Lab Seminar, USTC] [slides]

Education

• Ph.D., EE & IS, University of Science and Technology of China, 2019 Sept. - 2024 Mar.

• M.Eng., CSE, Shanghai Jiao Tong University, 2015 Sept. - 2018 Mar.

• B.Sc., Applied Mathematics, South China University of Technology, 2011 Sept. - 2015 Jun.

Service

Area Chair & Program Committee

• International Conference on Learning Representations (ICLR) 2027

• International Conference on Learning Representations (ICLR) 2026

• Neural Information Processing Systems (NeurIPS) 2026

Conference Reviewer

• The Forty-Third International Conference on Machine Learning (ICML) 2026 (Gold Reviewer)

• The Thirty-nineth Conference on Neural Information Processing Systems (NeurIPS) 2025 (Top Reviewer)

• International Conference on Learning Representations (ICLR) 2025

• The AAAI 2024 Workshop on Artificial Intelligence for Operations Research

• The ACM Web Conference 2024 (formerly known as International World Wide Web Conference, abbreviated as WWW)

• International Conference on Learning Representations (ICLR) 2024

• The AAAI Conference on Artificial Intelligence (AAAI) 2024

• The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023

• The International Conference on Data Engineering (ICDE) 2023

• The ACM Web Conference 2023 (formerly known as International World Wide Web Conference, abbreviated as WWW)

• The AAAI Conference on Artificial Intelligence (AAAI) 2023

• The International Conference on Data Engineering (ICDE) 2022

• The IEEE International Conference on Mobile Data Management (MDM) 2021, Industry Track

Journal Reviewer

• The IEEE Transactions on Knowledge and Data Engineering

• The IEEE Transactions on Emerging Topics in Computational Intelligence

• Transportation Research Part E

Supervised and Co-supervised Students

• Yunfan Zhou (Ph.D. student)

• Tianyu Wang (Ph.D. student)

• Chao Shen (Ph.D. student)

• Qi Liu (Ph.D. student)

• Jiexiang Yang (Master student, NeurIPS 2025, Outstanding Thesis, Grand Prize in the 19th “Challenge Cup” AI+ category) [cert. 1] [cert. 2] [news]

• Jinghao Wang (Master student, NeurIPS 2025, Grand Prize in the 19th “Challenge Cup” AI+ category) [news]

• Zhengdong He (Master student, Grand Prize in the 19th “Challenge Cup” AI+ category) [news]

• Ye Zhu (Master student, Grand Prize in the 19th “Challenge Cup” AI+ category) [news]

• Junqing Song (Master student, Grand Prize in the 19th “Challenge Cup” AI+ category) [news]

• Mingrui Yu (Master student, Zhiyuan Honors Bachelor Degree)

• Jiabo Xu (Master student)

• Xinyuan Li (Undergraduate student, Strengthening Foundation Plan)

Alumni

• Mengqi Guo (Master, CSCWD 2026; career destination: Aviation Industry Corporation of China)

Interns and Collaborators

• Dr. Weilin Luo (PhD graduated from Beihang University)

• Dr. Qingyu Qu (PhD graduated from Beihang University, Excellent Intern of Huawei Noah's Ark Lab of 2021H2) [certificate]

• Dr. Xiaotian Hao (PhD graduated from Tianjin University, Excellent Intern of Huawei Noah's Ark Lab of 2022H1) [certificate]

• Dr. Yufei Kuang (PhD graduated from University of Science and Technology of China, Excellent Intern of Huawei Noah's Ark Lab of 2023H1) [certificate]

• Dr. Zhihai Wang (PhD graduated from University of Science and Technology of China)

• Yunfan Zhou (Msc graduated from Chinese University of Hong Kong (Shenzhen), graduated from Peking University, Excellent Intern of Huawei Noah's Ark Lab of 2022H2) [certificate]

• Yiyuan Yang (PhD student @ University of Oxford, graduated from Tsinghua University)

• Kecheng Huang (PhD student @ Chinese University of Hong Kong, graduated from Shandong University)

• Yingtian Tang (Msc student @ University of Pennsylvania, graduated from UESTC)

• Zijie Geng (PhD student @ University of Science and Technology of China)