Global Optimization of K-Center Clustering. - Mingfei Shi; Kaixun Hua; Jiayang Ren; Yankai Cao (ICML, 2022)

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree. - Kaixun Hua; Jiayang Ren; Yankai Cao (NeurIPS, 2022)

Global Optimal K-Medoids Clustering of One Million Samples. - Jiayang Ren; Kaixun Hua; Yankai Cao (NeurIPS, 2022)

Deep Learning-based Predictive Control of Battery Management for Frequency Regulation. - Yun Li; Yixiu Wang; Yifu Chen; Kaixun Hua; Jiayang Ren; Ghazaleh Mozafari; Qiugang Lu; Yankai Cao (CoRR, 2022)

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. - Jiayang Ren; Ningning You; Kaixun Hua; Chaojie Ji; Yankai Cao (CoRR, 2023)

A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets. - Jiayang Ren; Valentín Osuna-Enciso; Morimasa Okamoto; Qiangqiang Mao; Chaojie Ji; Liang Cao; Kaixun Hua; Yankai Cao (CoRR, 2023)

PAPM: A Physics-aware Proxy Model for Process Systems. - Pengwei Liu; Zhongkai Hao; Xingyu Ren; Hangjie Yuan; Jiayang Ren; Dong Ni 002 (ICML, 2024)

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks. - Morimasa Okamoto; Jiayang Ren; Qiangqiang Mao; Jianfeng Liu; Yankai Cao (IEEE Trans Autom. Sci. Eng., 2025)

Class-Missing Semi-supervised document key information extraction via synergistic refinement estimation. - Pengcheng Guo; Yonghong Song; Boyu Wang; Yankai Cao; Jiayang Ren; Chaojie Ji; Jiahao Liu; Qi Zhang; Qiangqiang Mao (Inf. Process. Manag., 2026)