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Xijun Li

Assistant Professor at Shanghai Jiao Tong University


lixijun@sjtu.edu.cn, xijunli@miralab.ai

Interests

  • Learning to Optimization (L2O)
  • Machine Learning for Computer Systems (ML4CS)

Education

  • Ph.D., Electronic Engineering and Information Science, 2024

    University of Science and Technology of China

  • M.Sc., Computer Software Engineering, 2018

    Shanghai Jiao Tong University

  • B.S., Applied Mathematics, 2015

    South China University of Technology

About me

Currently, Xijun is an assistant professor in Shanghai Jiao Tong University and a faculty member of the Shanghai Key Labraotry of Scalable Computing and Systems. Previously, he has served as a princinpal researcher in Huawei Noah’s Ark Lab between 2018 and 2024. He has received his Ph.D. degree from the University of Science and Technology of China in March 2024 (HUAWEI-USTC Joint Ph.D. Program) under the supervision of Prof. Jie Wang and received the master degree under the supervision of Prof. Jianguo Yao from Shanghai Jiao Tong University in 2018. He has published many papers on top peer-reviewed conferences and journals (such as TPAMI, NeurIPS, ICLR, ICML, KDD, ICDE, SIGMOD, DAC, etc.) and applied/published a series of patents with Huawei Noah’s Ark Lab. He has also won the championship of student learderboard in Dual Track of NeurIPS’21 ML4CO Competition. His recent research interests focus on Learning to Optimization (L2O) and Large Language Model for Optimization/Reasoning. Last but not least, he is one of core developers of the Huawei Cloud OptVerse AI Solver and Huawei Pangu Large Language Models.

Awards

  • National Scholarship, Sep 2014, Chinese Ministry of Education
  • National Scholarship, Sep 2017, Chinese Ministry of Education
  • Skyworth Enterprise Scholarship, First Prize, Jun 2015, Skyworth Enterprise
  • Mathematical Contest in Modeling (MCM), Meritorious Award, Mar 2014, Consortium for Mathematics and Its Applications, COMAP
  • Innovation Pioneer Award, Second Prize, Dec 2020, 2012 Labs, Huawei Technologies

Experience

  • 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

Publications

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.

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.

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. TPAMI.

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.

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

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Zhihai Wang, Xijun Li, 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.

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Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lv, Jia Zen. Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. ICDE 2021.

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Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng. Learning-Aided Heuristics Design for Storage System. SIGMOD 2021.

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 Trans Cybern.

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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.

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Xijun Li, Jianguo Yao, Xue Liu, Haibing Guan. A First Look at Information Entropy-Based Data Pricing. ICDCS 2017.

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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.

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