教师名录

李希君

职称:助理研究员

电话:

邮箱:lixijun@sjtu.edu.cn

办公地点:软件学院 1411

研究方向

数值优化软件、学习优化

教育背景

2019.9-2024.3 联合培养博士 中国科学技术大学和华为技术有限公司
2015.9–2018.3 硕士 上海交通大学
2011.9-2015.6本科 华南理工大学

工作经验

2024.10至今 助理研究员 上海交通大学
2018.3–2024.9工程师、高级工程师、主任工程师 华为诺亚方舟实验室

代表性论著

1.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 (THU A)
2.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)
3.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) 
4.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) 
5.Xijun Li, Jianguo Yao, Xue Liu, Haibing Guan: A First Look at Information Entropy-Based Data Pricing. ICDCS 2017: 2053-2060 (CCF B)
6.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 (CCF A)
7.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 (CCF A)
8.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) 
9.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)
10. 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 (CCF A))

科研项目

2022.06-2025.06,面向混合整数规划规划优化求解的运筹运化技术,科技创新 2030 –“新一代人工智能”重大项目(参与)