Linxin Yang

According to our database, Linxin Yang authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

From Sequential to Parallel: Reformulating Dynamic Programming as GPU Kernels for Large-Scale Stochastic Combinatorial Optimization.

Jingyi Zhao, Linxin Yang, Haohua Zhang, Qile He, Tian Ding

CoRR, February, 2026

2025

QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks.

Qian Chen, Linxin Yang, Akang Wang, Xiaodong Luo, Yin Zhang

CoRR, October, 2025

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices.

Qingyu Han, Qian Li, Linxin Yang, Qian Chen, Qingjiang Shi, Ruoyu Sun

CoRR, September, 2025

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

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

IEEE Internet Things J., October, 2024

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling.

Linxin Yang, Bingheng Li, Tian Ding, Jianghua Wu, Akang Wang, Yuyi Wang, Jiliang Tang, Ruoyu Sun, Xiaodong Luo

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization.

Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A FPGA-based Energy-Efficient Processor for Radar-based Continuous Fall Detection.

Juhua Chen, Linxin Yang, Wenbin Ye

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

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, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Research on the Adaptability of Renewable Portfolio Standards System in the Electricity Market Environment.

Weiheng Li, Xiangrui Liu, Linxin Yang

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

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, Xiaodong Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

CoRR, 2022

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, Yuru Gao, Guo Liu, Linxin Yang, Meng Zhang, Yihui Cai, Ziyi Zhu, Junxian Lin, Xintian Gao, Ye Wang, Mingxuan Zhang, Tiantian Chen, Xueliang Li, Pengcheng An

Proceedings of the Tenth International Symposium of Chinese CHI, 2022

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, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Determining How Different Factors Affect Police-Allegation's Sustainability in Chicago using Decision-Tree.

Linxin Yang

Proceedings of the 10th International Conference on Data Science, 2021