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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)- [c7]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 - [c6]Juhua Chen, Linxin Yang, Wenbin Ye:
A FPGA-based Energy-Efficient Processor for Radar-based Continuous Fall Detection. ISCAS 2024: 1-5 - [i2]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) - 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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