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2020 – today
- 2024
[c4]Pengwei Liu, Zhongkai Hao, Xingyu Ren, Hangjie Yuan, Jiayang Ren, Dong Ni:
PAPM: A Physics-aware Proxy Model for Process Systems. ICML 2024- [i4]Pengwei Liu, Zhongkai Hao, Xingyu Ren, Hangjie Yuan, Jiayang Ren, Dong Ni:
PAPM: A Physics-aware Proxy Model for Process Systems. CoRR abs/2407.05232 (2024) - 2023
- [i3]Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao:
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. CoRR abs/2301.00061 (2023) - [i2]Jiayang Ren, Valentín Osuna-Enciso, Morimasa Okamoto
, Qiangqiang Mao, Chaojie Ji, Liang Cao, Kaixun Hua, Yankai Cao:
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets. CoRR abs/2311.06952 (2023) - 2022
- [c3]Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao:
Global Optimization of K-Center Clustering. ICML 2022: 19956-19966 - [c2]Kaixun Hua, Jiayang Ren, Yankai Cao:
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree. NeurIPS 2022 - [c1]Jiayang Ren, Kaixun Hua, Yankai Cao:
Global Optimal K-Medoids Clustering of One Million Samples. NeurIPS 2022 - [i1]Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao:
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation. CoRR abs/2201.01166 (2022)
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