Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression. - Wenxin Xiao; Armin Lederer; Sandra Hirche (CoRR, 2020)

Real-Time Regression with Dividing Local Gaussian Processes. - Armin Lederer; Alejandro Jose Ordóñez Conejo; Korbinian Maier; Wenxin Xiao; Sandra Hirche (CoRR, 2020)

Gaussian Process-Based Real-Time Learning for Safety Critical Applications. - Armin Lederer; Alejandro Jose Ordóñez Conejo; Korbinian Maier; Wenxin Xiao; Jonas Umlauft; Sandra Hirche (ICML, 2021)

A Novel Gas Recognition and Concentration Detection Algorithm for Artificial Olfaction. - Wenwen Zhang; Lei Wang 006; Jia Chen; Wenxin Xiao; Xiao Bi (IEEE Trans. Instrum. Meas., 2021)

Recommending Good First Issues in GitHub OSS Projects. - Wenxin Xiao; Hao He 012; Weiwei Xu; Xin Tan 003; Jinhao Dong; Minghui Zhou 001 (ICSE, 2022)

Demystifying software release note issues on GitHub. - Jianyu Wu; Hao He 012; Wenxin Xiao; Kai Gao 008; Minghui Zhou 001 (ICPC, 2022)

GFI-bot: automated good first issue recommendation on GitHub. - Hao He 012; Haonan Su; Wenxin Xiao; Runzhi He; Minghui Zhou 001 (ESEC/SIGSOFT FSE, 2022)

Personalized First Issue Recommender for Newcomers in Open Source Projects. - Wenxin Xiao; Jingyue Li; Hao He 012; Ruiqiao Qiu; Minghui Zhou 001 (ASE, 2023)

How Early Participation Determines Long-Term Sustained Activity in GitHub Projects? - Wenxin Xiao; Hao He 012; Weiwei Xu; Yuxia Zhang; Minghui Zhou 001 (ESEC/SIGSOFT FSE, 2023)

A comprehensive analysis of challenges and strategies for software release notes on GitHub. - Jianyu Wu; Hao He 012; Kai Gao 008; Wenxin Xiao; Jingyue Li; Minghui Zhou 001 (Empir. Softw. Eng., 2024)

Designing Automation for Enhancing Multitasking Performance. - Jiaxin Li; Wenxin Xiao; Ji-Eun Kim (HCI (26), 2025)