Restoring reproducibility of Jupyter notebooks. - Jiawei Wang 003; Tzu-yang Kuo; Li Li 029; Andreas Zeller (ICSE (Companion Volume), 2020)

Better code, better sharing: on the need of analyzing jupyter notebooks. - Jiawei Wang 003; Li Li 029; Andreas Zeller (ICSE (NIER), 2020)

Assessing and Restoring Reproducibility of Jupyter Notebooks. - Jiawei Wang 003; Tzu-yang Kuo; Li Li 029; Andreas Zeller (ASE, 2020)

Exploring how deprecated Python library APIs are (not) handled. - Jiawei Wang 003; Li Li 029; Kui Liu 001; Haipeng Cai (ESEC/SIGSOFT FSE, 2020)

Privacy-Preserving COVID-19 Contact Tracing App: A Zero-Knowledge Proof Approach. - Joseph K. Liu; Man Ho Au; Tsz Hon Yuen; Cong Zuo; Jiawei Wang 003; Amin Sakzad; Xiapu Luo; Li Li 029 (IACR Cryptol. ePrint Arch., 2020)

Restoring Execution Environments of Jupyter Notebooks. - Jiawei Wang 003; Li Li 029; Andreas Zeller (ICSE, 2021)

Privacy-Preserving Contact Tracing Protocol for Mobile Devices: A Zero-Knowledge Proof Approach. - Joseph K. Liu; Man Ho Au; Tsz Hon Yuen; Cong Zuo; Jiawei Wang 003; Amin Sakzad; Xiapu Luo; Li Li 029; Kim-Kwang Raymond Choo (ISPEC, 2021)

Characterizing Python Method Evolution with PyMevol: An Essential Step Towards Enabling Reliable Software Systems. - Haowei Quan; Jiawei Wang 003; Bo Li 103; Xiaoning Du 001; Kui Liu 001; Li Li 029 (ISSRE Workshops, 2022)

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training. - Xin Wang 114; Yasheng Wang; Yao Wan 001; Jiawei Wang 003; Pingyi Zhou; Li Li 029; Hao Wu 010; Jin Liu 016 (NAACL-HLT (Findings), 2022)

Scalpel: The Python Static Analysis Framework. - Li Li 029; Jiawei Wang 003; Haowei Quan (CoRR, 2022)

Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis. - Ashwin Prasad Shivarpatna Venkatesh; Jiawei Wang 003; Li Li 029; Eric Bodden (SANER, 2023)

TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools. - Ashwin Prasad Shivarpatna Venkatesh; Samkutty Sabu; Jiawei Wang 003; Amir M. Mir; Li Li 029; Eric Bodden (ICSE Companion, 2024)

Neural Library Recommendation by Embedding Project-Library Knowledge Graph. - Bo Li 103; Haowei Quan; Jiawei Wang 003; Pei Liu; Haipeng Cai; Yuan Miao 001; Yun Yang 001; Li Li 029 (IEEE Trans. Software Eng., 2024)

Static analysis driven enhancements for comprehension in machine learning notebooks. - Ashwin Prasad Shivarpatna Venkatesh; Samkutty Sabu; Mouli Chekkapalli; Jiawei Wang 003; Li Li 029; Eric Bodden (Empir. Softw. Eng., 2024)

Best practice for supply chain in LLM-assisted medical applications. - Shengming Zhao; Jiawei Wang 003 (ISSTA Companion, 2025)

Detecting and Explaining Python Name Errors. - Jiawei Wang 003; Li Li 029; Kui Liu 001; Xiaoning Du 001 (Inf. Softw. Technol., 2025)

EdgeHydra: Fault-Tolerant Edge Data Distribution Based on Erasure Coding. - Qiang He 001; Guobiao Zhang; Jiawei Wang 003; Ruikun Luo; Xiaohai Dai; Yuchong Hu; Feifei Chen 001; Hai Jin 001; Yun Yang 001 (IEEE Trans. Parallel Distributed Syst., 2025)