Kexin Jin

16 papers A* 3A 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Losing Momentum in Continuous-time Stochastic Optimisation.
J. Mach. Learn. Res.
Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti
2025 J jnl
Task-oriented adaptive learning of robot manipulation skills.
Artif. Life Robotics
Kexin Jin, Guohui Tian, Bin Huang, Yongcheng Cui, Xiaoyu Zheng
2025 — conf
TriPercept: A Unified Fine-Grained Structural Perception Model for Molecular Property Prediction.
BIBM
Wei He, Xue Li, Xu Tian, Peifu Han, Kexin Jin, Shuang Wang, Tao Song
2024 J jnl
How to beat a Bayesian adversary.
CoRR
Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu
2024 A conf
Subsampling Error in Stochastic Gradient Langevin Diffusions.
AISTATS
Kexin Jin, Chenguang Liu, Jonas Latz
2023 J jnl
A Continuous-time Stochastic Gradient Descent Method for Continuous Data.
J. Mach. Learn. Res.
Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb
2023 A* conf
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation.
ICML
Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023 J jnl
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation.
CoRR
Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023 A* conf
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm.
ICML
Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
2023 J jnl
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm.
CoRR
Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin
2023 J jnl
Subsampling Error in Stochastic Gradient Langevin Diffusions.
CoRR
Kexin Jin, Chenguang Liu, Jonas Latz
2022 A* conf
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate.
NeurIPS
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
2022 J jnl
Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate.
CoRR
Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan
2022 J jnl
Losing momentum in continuous-time stochastic optimisation.
CoRR
Kexin Jin, Jonas Latz, Chenguang Liu, Alessandro Scagliotti
2021 J jnl
A Continuous-time Stochastic Gradient Descent Method for Continuous Data.
CoRR
Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb
2021 J jnl
Prediction of Second Primary Lung Cancer Patient's Survivability Based on Improved Eigenvector Centrality-Based Feature Selection.
IEEE Access
Peng Liu, Kexin Jin, Yiping Jiao, Mutian He, Shumin Fei