Towards Studying the Evolution of Technical Debt in the Python Projects from the Apache Software Ecosystem. - Jie Tan 002; Mircea Lungu; Paris Avgeriou (BENEVOL, 2018)

Dynamic Translation Optimization Method Based on Static Pre-Translation. - Jun Wang 070; Jianmin Pang; Xiaonan Liu; Feng Yue; Jie Tan 002; Liguo Fu (IEEE Access, 2019)

Investigating the Relationship between Co-occurring Technical Debt in Python. - Jie Tan 002; Daniel Feitosa; Paris Avgeriou (SEAA, 2020)

An empirical study on self-fixed technical debt. - Jie Tan 002; Daniel Feitosa; Paris Avgeriou (TechDebt@ICSE, 2020)

Petri Net Based Data-Flow Error Detection and Correction Strategy for Business Processes. - Cong Liu 012; Qingtian Zeng; Hua Duan; Lei Wang 122; Jie Tan 002; Chongguang Ren; WangYang Yu 001 (IEEE Access, 2020)

Do practitioners intentionally self-fix Technical Debt and why? - Jie Tan 002; Daniel Feitosa; Paris Avgeriou (ICSME, 2021)

Evolution of technical debt remediation in Python: A case study on the Apache Software Ecosystem. - Jie Tan 002; Daniel Feitosa; Paris Avgeriou; Mircea Lungu (J. Softw. Evol. Process., 2021)

Enhancing Dynamic Binary Translation in Mobile Computing by Leveraging Polyhedral Optimization. - Mingliang Li; Jianmin Pang; Feng Yue; Fudong Liu; Jun Wang 070; Jie Tan 002 (Wirel. Commun. Mob. Comput., 2021)

What Factors Affect the Performance of Software after Migration: A Case Study on Sunway TaihuLight Supercomputer. - Jie Tan 002; Jianmin Pang; Cong Liu 012 (IEICE Trans. Inf. Syst., 2022)

Does it matter who pays back Technical Debt? An empirical study of self-fixed TD. - Jie Tan 002; Daniel Feitosa; Paris Avgeriou (Inf. Softw. Technol., 2022)

KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking. - Xin Liu; Jie Tan 002; Xiaoguang Ren; Weiya Ren; Huadong Dai (ACML, 2023)

Air-to-Ground Active Object Tracking via Reinforcement Learning. - Xin Liu; Weiya Ren; Jie Tan 002; Xiaochuan Zhang; Xiaoguang Ren; Huadong Dai (ICANN (6), 2023)

The lifecycle of Technical Debt that manifests in both source code and issue trackers. - Jie Tan 002; Daniel Feitosa; Paris Avgeriou (Inf. Softw. Technol., 2023)

PhaseNN: An Unsupervised and Spatial-Frequency Integrated Network for Phase Retrieval. - Haining Hu; Jie Tan 002; Xiaoguang Ren; Yuchen Hua; Xin Liu (PRCV (1), 2024)

Closed-Loop Predictive Control for Adaptive Optics via Neural Networks. - Haining Hu; Qianchong Sun; Yuchen Hua; Jie Tan 002; Xiaoguang Ren; Rongkai Zhang 007; Xin Liu (SMC, 2024)

Automated detection of inter-language design smells in multi-language deep learning frameworks. - Zengyang Li; Xiaoyong Zhang; Wenshuo Wang; Peng Liang 001; Ran Mo; Jie Tan 002; Hui Liu 004 (Inf. Softw. Technol., 2025)