Determining How Different Factors Affect Police-Allegation's Sustainability in Chicago using Decision-Tree. - Linxin Yang (DATA, 2021)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Simon Bowly; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; et al. (NeurIPS (Competition and Demos), 2021)

A Multi-media Entry to Traditional Chinese Art. - Zihao Fu; Jiarong Chen; Xinyi Huang; Zhaoqing Li; Zhuangyi Chen; Mingshuang Xin; Yuejing Liang; Yining Chen; Lao Jia; Hanbing Jia; Runze Shi; Xinzhe Zhang; et al. (CCHI, 2022)

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. - Maxime Gasse; Quentin Cappart; Jonas Charfreitag; Laurent Charlin; Didier Chételat; Antonia Chmiela; Justin Dumouchelle; Ambros M. Gleixner; Aleksandr M. Kazachkov; Elias B. Khalil; Pawel Lichocki; Andrea Lodi 001; et al. (CoRR, 2022)

A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming. - Qingyu Han; Linxin Yang; Qian Chen; Xiang Zhou; Dong Zhang; Akang Wang; Ruoyu Sun 001; Xiaodong Luo (ICLR, 2023)

Research on the Adaptability of Renewable Portfolio Standards System in the Electricity Market Environment. - Weiheng Li; Xiangrui Liu; Linxin Yang (iSPEC, 2023)

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. - Bingheng Li; Linxin Yang; Yupeng Chen; Senmiao Wang; Haitao Mao; Qian Chen; Yao Ma 001; Akang Wang; Tian Ding; Jiliang Tang; Ruoyu Sun 001 (ICML, 2024)

A FPGA-based Energy-Efficient Processor for Radar-based Continuous Fall Detection. - Juhua Chen; Linxin Yang; Wenbin Ye 001 (ISCAS, 2024)

SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization. - Qian Chen; Tianjian Zhang; Linxin Yang; Qingyu Han; Akang Wang; Ruoyu Sun 001; Xiaodong Luo; Tsung-Hui Chang (NeurIPS, 2024)

On the Power of Small-size Graph Neural Networks for Linear Programming. - Qian Li; Tian Ding; Linxin Yang; Minghui Ouyang; Qingjiang Shi; Ruoyu Sun 001 (NeurIPS, 2024)

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling. - Linxin Yang; Bingheng Li; Tian Ding; Jianghua Wu; Akang Wang; Yuyi Wang 006; Jiliang Tang; Ruoyu Sun 001; Xiaodong Luo (CoRR, 2024)

An Energy-Efficient Edge Processor for Radar-Based Continuous Fall Detection Utilizing Mixed-Radix FFT and Updated Blockwise Computation. - Juhua Chen; Kaixiang Lin; Linxin Yang; Wen Bin Ye 001 (IEEE Internet Things J., 2024)

Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting. - Jinxin Xiong; Xi Gao; Linxin Yang; Jiang Xue; Xiaodong Luo; Akang Wang (Trans. Mach. Learn. Res., 2025)