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ORCIDLinxin Yang
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2020 – today
- 2024
[j1]Juhua Chen
, Kaixiang Lin, Linxin Yang, Wen Bin Ye:
An Energy-Efficient Edge Processor for Radar-Based Continuous Fall Detection Utilizing Mixed-Radix FFT and Updated Blockwise Computation. IEEE Internet Things J. 11(19): 32117-32128 (2024)- [c9]Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun:
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. ICML 2024 - [c8]Juhua Chen, Linxin Yang, Wenbin Ye:
A FPGA-based Energy-Efficient Processor for Radar-based Continuous Fall Detection. ISCAS 2024: 1-5 - [c7]Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang:
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization. NeurIPS 2024 - [c6]Qian Li, Tian Ding, Linxin Yang, Minghui Ouyang, Qingjiang Shi, Ruoyu Sun:
On the Power of Small-size Graph Neural Networks for Linear Programming. NeurIPS 2024 - [i3]Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun:
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. CoRR abs/2406.01908 (2024) - [i2]Linxin Yang, Bingheng Li, Tian Ding, Jianghua Wu, Akang Wang, Yuyi Wang, Jiliang Tang, Ruoyu Sun, Xiaodong Luo:
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling. CoRR abs/2412.01051 (2024) - 2023
- [c5]Qingyu Han, Linxin Yang, Qian Chen, Xiang Zhou, Dong Zhang, Akang Wang, Ruoyu Sun, Xiaodong Luo:
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming. ICLR 2023 - [c4]Weiheng Li, Xiangrui Liu, Linxin Yang:
Research on the Adaptability of Renewable Portfolio Standards System in the Electricity Market Environment. iSPEC 2023: 1-6 - 2022
- [c3]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:
A Multi-media Entry to Traditional Chinese Art. CCHI 2022: 315-327 - [i1]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:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR abs/2203.02433 (2022) - 2021
- [c2]Linxin Yang:
Determining How Different Factors Affect Police-Allegation's Sustainability in Chicago using Decision-Tree. DATA 2021: 137-143 - [c1]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:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 2021: 220-231
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