| 2025 | ICLR | Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming. | Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu |
| 2025 | ICLR | Differentiable Integer Linear Programming. | Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu |
| 2024 | ICDE | Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems. | Kecheng Huang, Xijun Li, Mingxuan Yuan, Ji Zhang, Zili Shao |
| 2024 | ICLR | Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. | Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu |
| 2024 | ICLR | L2P-MIP: Learning to Presolve for Mixed Integer Programming. | Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan |
| 2024 | ICML | Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. | Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu |
| 2024 | ICML | A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. | Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu |
| 2023 | DAC | Layout Decomposition via Boolean Satisfiability. | Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu |
| 2023 | ICLR | ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. | Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan |
| 2023 | ICLR | Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. | Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu |
| 2023 | IJCNN | SGDP: A Stream-Graph Neural Network Based Data Prefetcher. | Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan |
| 2023 | KDD | HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. | Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan |
| 2022 | DAC | L-QoCo: learning to optimize cache capacity overloading in storage systems. | Ji Zhang, Xijun Li, Xiyao Zhou, Mingxuan Yuan, Zhuo Cheng, Keji Huang, Yifan Li |
| 2022 | MDM | Learning to Optimize DAG Scheduling in Heterogeneous Environment. | Yunfan Zhou, Xijun Li, Jinhong Luo, Mingxuan Yuan, Jia Zeng, Jianguo Yao |
| 2021 | ICDE | Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. | Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu L, Jia Zeng |
| 2021 | SIGMOD | Learning-Aided Heuristics Design for Storage System. | Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng |
| 2018 | CIKM | A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching. | Xijun Li, Jianguo Yao, Mingxuan Yuan, Jia Zeng |
| 2018 | KDD | A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint. | Xijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, Jia Zeng |
| 2017 | ICDCS | A First Look at Information Entropy-Based Data Pricing. | Xijun Li, Jianguo Yao, Xue Liu, Haibing Guan |