An Experimental Evaluation of Imbalanced Learning and Time-Series Validation in the Context of CI/CD Prediction. - Bohan Liu; He Zhang 001; Lanxin Yang; Liming Dong 001; Haifeng Shen; Kaiwen Song (EASE, 2020)

Survey on Pains and Best Practices of Code Review. - Liming Dong 001; He Zhang 001; Lanxin Yang; Zhiluo Weng; Xin Yang; Xin Zhou 016; Zifan Pan (APSEC, 2021)

Quality Assessment in Systematic Literature Reviews: A Software Engineering Perspective. - Lanxin Yang; He Zhang 001; Haifeng Shen; Xin Huang 019; Xin Zhou 016; Guoping Rong; Dong Shao (Inf. Softw. Technol., 2021)

Modeling Review History for Reviewer Recommendation: A Hypergraph Approach. - Guoping Rong; Yifan Zhang; Lanxin Yang; Fuli Zhang; Hongyu Kuang; He Zhang 001 (ICSE, 2022)

An Industrial Experience Report on Retro-Inspection. - Lanxin Yang; He Zhang 001; Fuli Zhang; Xiaodong Zhang; Guoping Rong (ICSE (SEIP), 2022)

Memristive Recurrent Neural Network Circuit for Fast Solving Equality-Constrained Quadratic Programming With Parallel Operation. - Qinghui Hong; Lanxin Yang; Sichun Du; Ya Li (IEEE Internet Things J., 2022)

An Experience Report on Assessing Software Engineer's Outputs in Practice. - Juzheng Zhang; He Zhang 001; Lanxin Yang; Liming Dong 001; Yue Li (ICSSP, 2023)

EvaCRC: Evaluating Code Review Comments. - Lanxin Yang; Jinwei Xu; Yifan Zhang; He Zhang 001; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2023)

Evaluating Learning-to-Rank Models for Prioritizing Code Review Requests using Process Simulation. - Lanxin Yang; Bohan Liu; Junyu Jia; Junming Xue; Jinwei Xu; Alberto Bacchelli; He Zhang 001 (SANER, 2023)

Replication Package - EvaCRC: Evaluating Code Review Comments. - Lanxin Yang; Jinwei Xu; Yifan Zhang; He Zhang 001; Alberto Bacchelli (Zenodo, 2023)

Secure Transmission in Integrated Communication-Radar Systems. - Lanxin Yang; Mingjing Wang; Yechao Bai; Mengting Lou; Lan Tang (IEEE Syst. J., 2023)

Fine-SE: Integrating Semantic Features and Expert Features for Software Effort Estimation. - Yue Li; Zhong Ren; Zhiqi Wang; Lanxin Yang; Liming Dong 001; Chenxing Zhong; He Zhang 001 (ICSE, 2024)

An Experience Report on Modeling Software Process in Industrial Context: Challenges and Solutions. - Yue Li; He Zhang 001; Liming Dong 001; Bohan Liu; Lanxin Yang (ICSSP, 2024)

An Explainable Automated Model for Measuring Software Engineer Contribution. - Yue Li; He Zhang 001; Yuzhe Jin; Zhong Ren; Liming Dong 001; Jun Lyu; Lanxin Yang; David Lo 001; Dong Shao (ASE, 2024)

GPP: A Graph-Powered Prioritizer for Code Review Requests. - Lanxin Yang; Jinwei Xu; He Zhang 001; Fanghao Wu; Jun Lyu; Yue Li; Alberto Bacchelli (ASE, 2024)

DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection. - Yanjing Yang; Xin Zhou 016; Runfeng Mao; Jinwei Xu; Lanxin Yang; Yu Zhangm; Haifeng Shen; He Zhang 001 (CoRR, 2024)

Investigating Efficacy of Perplexity in Detecting LLM-Generated Code. - Jinwei Xu; He Zhang 001; Yanjin Yang; Zeru Cheng; Jun Lyu; Bohan Liu; Xin Zhou 016; Lanxin Yang; Alberto Bacchelli; Yin Kia Chiam; Thiam Kian Chiew (CoRR, 2024)

Towards Efficient Build Ordering for Incremental Builds with Multiple Configurations. - Jun Lyu; Shanshan Li 002; He Zhang 001; Lanxin Yang; Bohan Liu; Manuel Rigger (Proc. ACM Softw. Eng., 2024)

A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao; Alberto Bacchelli (Empir. Softw. Eng., 2024)

DLAP: A Deep Learning Augmented Large Language Model Prompting framework for software vulnerability detection. - Yanjing Yang; Xin Zhou 016; Runfeng Mao; Jinwei Xu; Lanxin Yang; Yu Zhang; Haifeng Shen; He Zhang 001 (J. Syst. Softw., 2025)

A Knowledge Enhanced Large Language Model for Bug Localization. - Yue Li; Bohan Liu; Ting Zhang 011; Zhiqi Wang; David Lo 001; Lanxin Yang; Jun Lyu; He Zhang 001 (Proc. ACM Softw. Eng., 2025)

Measuring software engineer's contribution in practice: An industrial experience report. - Yue Li; He Zhang 001; Lanxin Yang; Liming Dong 001; Juzheng Zhang; Bohan Liu (J. Softw. Evol. Process., 2025)

Prioritizing code review requests to improve review efficiency: a simulation study. - Lanxin Yang; Bohan Liu; Junyu Jia; Jinwei Xu; Junming Xue; He Zhang 001; Alberto Bacchelli (Empir. Softw. Eng., 2025)

Refactoring Microservices to Microservices in Support of Evolutionary Design. - Chenxing Zhong; Shanshan Li 002; He Zhang 001; Huang Huang; Lanxin Yang; Yuanfang Cai (IEEE Trans. Software Eng., 2025)

Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao; Alberto Bacchelli (Empir. Softw. Eng., 2025)