Prediction of Second Primary Lung Cancer Patient's Survivability Based on Improved Eigenvector Centrality-Based Feature Selection. - Peng Liu 062; Kexin Jin; Yiping Jiao; Mutian He 002; Shumin Fei (IEEE Access, 2021)

Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. - Zhuoqing Song; Weijian Li; Kexin Jin; Lei Shi 010; Ming Yan 006; Wotao Yin; Kun Yuan 001 (NeurIPS, 2022)

Losing momentum in continuous-time stochastic optimisation. - Kexin Jin; Jonas Latz; Chenguang Liu; Alessandro Scagliotti (CoRR, 2022)

DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. - Lisang Ding; Kexin Jin; Bicheng Ying; Kun Yuan 001; Wotao Yin (ICML, 2023)

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. - Yifan Zhang 004; Xue Wang 010; Kexin Jin; Kun Yuan 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (ICML, 2023)

A Continuous-time Stochastic Gradient Descent Method for Continuous Data. - Kexin Jin; Jonas Latz; Chenguang Liu; Carola-Bibiane Schönlieb (J. Mach. Learn. Res., 2023)

Subsampling Error in Stochastic Gradient Langevin Diffusions. - Kexin Jin; Chenguang Liu; Jonas Latz (AISTATS, 2024)

How to beat a Bayesian adversary. - Zihan Ding; Kexin Jin; Jonas Latz; Chenguang Liu (CoRR, 2024)