Xijun Li 李希君

Cutting CPU Power Without Missing Tails for Polling-Based I/O Frameworks

Bernhard Linn Hilmarsson, Vamanan Arulchelvan, Arash Tavakkol, Li Liu, Weihong Xu, Xiangyu Zhu, Xijun Li, Shai Bergman, Ji Zhang

Promoting Generalization for Exact Combinatorial Solvers via Adversarial Instance Augmentation

Haoyang Liu, Jie Wang, Yufei Kuang, Xijun Li, Yongdong Zhang, Feng Wu

Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment

Characterizes VLA models across heterogeneous hardware and accelerates deployment in embodied systems.

Kaijun Zhou, DaPeng, Qiwei Chen, Zhiyang Li, Xijun Li, Jinyu Gu

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization

Combines graph structural priors with language models for combinatorial optimization.

Xijun Li, Jiexiang Yang, Jinghao Wang, Bo Peng, Jianguo Yao, Haibing Guan

Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph

Mingxuan Ye, Jie Wang, Fangzhou Zhu, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye HAO, Feng Wu

Multimodal Generation Made Efficient with Speculative Diffusion and Speculative Verification

Kaijun Zhou, Xingyu Yan, Xingda Wei, Xijun Li, Jinyu Gu

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning

Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu

Differentiable Integer Linear Programming

Connects integer linear programming with learning through differentiable optimization.

Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye HAO, Bin Li, Feng Wu

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

MILP-StuDio: MILP Instance Generation via Block Structure Decomposition

Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Bin Li, Yongdong Zhang, Feng Wu

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming

Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

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

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

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

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

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

A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability

Generates mixed-integer programming instances when solver training data is limited.

Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu

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

Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

Learns cut selection with a hierarchical sequence model for efficient mixed-integer programming.

Xijun Li, Zhihai Wang, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

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

Layout Decomposition via Boolean Satisfiability

Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu

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

Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems

Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lü, Jia Zeng

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