Jie “JW” Wu | UBC, GW, SJTU, Ex-Snap Inc., Ex-MSR, Ex-Google Research

About JW

I’m happy to be called JW—it’s easy and casual. But if you’re interested in saying my original name, 杰 (Jie), you’re very welcome to try! You can listen to the pronunciation here (something like “JEE-yeh” is pretty close). I gladly accept any approximation, so feel free to use whichever version you’re most comfortable with. I publish under the name “Jie JW Wu”.

I’m a postdoc at University of British Columbia, working with Dr. Fatemeh Fard at the intersection of Software Engineering and AI. My undergraduate and master studies were done both in Computer Science at Shanghai Jiao Tong University (at ACM Class, an elite CS program at SJTU). I received my PhD in Systems Engineering at George Washington University. I was a research intern at Google Research and Microsoft Research Asia.

I worked as a software engineer in the industry for nearly a decade at Snap Inc. (Seattle office), Microsoft (Redmond HQ), and startup (ArcSite, Shanghai office). I’ve worked in various areas such as ML-enabled recommender systems, evaluation, scalable backend service, and infrastructure, etc. The projects I launched at Snap increased millions of daily friend adds and were one of the yearly highlighted projects in the growth team. I also worked on protecting user safety and privacy (Media reports of my projects: Engadget, TheVerge, etc.).

🎓 Fully Funded PhD Opportunity Available: I will be joining an R1 university this fall as a tenure-track assistant professor in the CS department. I’m actively recruiting highly motivated and hard-working students interested in the intersection of Software Engineering and AI (particularly Large Language Models). Exciting projects are available to help you pursue your research dreams. If you’re interested, please don’t hesitate to reach out via email!

Research

My research topic is Trustworthy AIware - I am passionate about turning the current state of “AI for Software Engineering” and “AI system development” from art into a rigorous science and engineering discipline. My work is closely related to the fields of human-centered AI, AI alignment, and practical software engineering. My research emphasizes people (human-centered), feedback loops, and process—grounded in a systems-thinking mindset.

Keywords: AI for Software Engineering (AI4SE), Software Engineering for AI (SE4AI), Large Language Models (LLMs), Data Science, Systems Science and Engineering

News

⚡ May 2025: I gave a talk at PNW PLSE 2025 at Uber Engineering Office in Seattle, WA. You can watch the recording here.

⚡ Feb 2025: I’m a reviewer for IEEE Transactions on Software Engineering (TSE), and ACM Transactions on Software Engineering and Methodology (TOSEM), top-tier journals in my field.

⚡ Jan 2024: My paper on benchmarking communication skills of Code LLM and LLM Agents was accepted in TOSEM, a top journal in Software Engineering research!

⚡ Dec 2024: Final exam is completed for my course “Analysis of Algorithm” (COSC 320) at UBC!

⚡ Nov 2024: During the mid-term break, I completed the 24-hour Instructional Skills Workshop (ISW) at UBC in Kelowna!

⚡ Oct 2024: I’m honored to be a Program Committee Member of RAIE 2025. Looking forward to the submissions and reviews!

⚡ Oct 2024: I’m a reviewer for Journal of Software and Systems.

⚡ Sep 2024: I’m an instructor teaching COSC 320 “Analysis of Algorithm” for undergrads at UBC Okanagan for this term. We adopted a new learner-centered approach in this course. It’s been fun and I enjoyed talking to students!

⚡ Sep 2024: I’m honored to be a Program Committee Member of SANER 2025 Tool and Demo Track. Looking forward to the submissions and reviews!

⚡ Aug 2024: I’m honored to be a Program Committee Member of CAIN 2025. Looking forward to the submissions and reviews!

⚡ Jun 2024: I’m glad to attend SEMLA 2024 to present my poster for our work in benchmarking the communication skills of Code LLM and LLM Agent! I’m grateful for the travel support and travel grant award from SEMLA.

⚡ May 2024: My paper on automating offline A/B testing (AutoOffAB) is accepted at FSE 2024, “Ideas, Visions and Reflections” Track!

⚡ May 2024: I’m excited to share that my paper on the use of V-Model in ML-enabled system will appear in the IEEE Software Practitioner’s digest column!

⚡ Mar 2024: I’m honored to be invited as a Program Committee Member of ASE 2024 Artifact Evaluation Track. Looking forward to the submissions and reviews!

⚡ Feb 2024: I’m honored to share that my paper on the use of V-Model in ML-enabled system has been selected as a candidate for the CAIN 2024 Best Paper Award!

⚡ Feb 2024: I’m honored to be invited as a Program Committee Member of FSE 2024 Posters Track. Looking forward to the submissions and reviews!

⚡ Feb 2024: My paper on investigating the use of V-Model in ML-enabled system is accepted at CAIN 2024 (3rd International Conference on AI Engineering – Software Engineering for AI)! Looking forward to the event in Lisbon, Portugal. I gratefully thank SIGSOFT CAPS for the travel support award.

⚡ Jan 2024: Our paper on investigating LLM in Code Clone Detection is accepted at ICPC 2024 (International Conference on Program Comprehension 2024). Congrats to Mohamad!

⚡ Nov 2023: I will attend MAPS 2023 on Dec 3, 2023, in San Francisco, US to present my work on the communication skills of LLM. Looking forward to the event! I gratefully thank NSF for the travel support award.

⚡ Nov 2023: I will be a Postdoctoral Research Fellow at University of British Columbia, Canada, working with Dr. Fard at the intersection of Software Engineering and AI!

Teaching

I’m an instructor teaching COSC 320 “Analysis of Algorithm” for undergrads at UBC Okanagan for this term. We adopted a new learner-centered approach in this course. It’s been fun and I enjoyed talking to students!

Services

Reviewer, IEEE Transactions on Software Engineering
Reviewer, ACM Transactions on Software Engineering and Methodology
Reviewer, Transactions on Dependable and Secure Computing
Reviewer, Journal of Systems and Software
Program Committee Member, RAIE 2025
Program Committee Member, CAIN 2025
Program Committee Member, SANER 2025, Tool and Demo Track
Program Committee Member, ASE 2024, Artifact Evaluation Track
Program Committee Member, FSE 2024, Posters Track

Publications

ClarifyCoder

ClarifyCoder: Clarification-Aware Fine-Tuning for Programmatic Problem Solving

Jie JW Wu, Manav Chaudhary, Davit Abrahamyan, Arhaan Khaku, Anjiang Wei, Fatemeh H. Fard

Code Video @article{wu2025clarifycoder, title={ClarifyCoder: Clarification-Aware Fine-Tuning for Programmatic Problem Solving}, author={Wu, Jie JW and Chaudhary, Manav and Abrahamyan, Davit and Khaku, Arhaan and Wei, Anjiang and Fard, Fatemeh H.}, journal={arXiv preprint arXiv:2504.16331}, year={2025} }

(under review)
LLM Survey on Low Resource PL

A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages

Sathvik Joel, Jie JW Wu, Fatemeh Hendijani Fard

@article{joel2024survey, title={A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages}, author={Joel, Sathvik and Wu, Jie JW and Fard, Fatemeh H}, journal={arXiv preprint arXiv:2410.03981}, year={2024} }

(long paper, under review)
MergeRepair

MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair

Meghdad Dehghan, Jie JW Wu, Fatemeh Hendijani Fard, Ali Ouni

@article{dehghan2024mergerepair, title={MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair}, author={Dehghan, Meghdad and Wu, Jie JW and Fard, Fatemeh H and Ouni, Ali}, journal={arXiv preprint arXiv:2408.09568}, year={2024} }

(Accepted RR. To submit to EMSE)
LLM Communication Benchmark

HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent

Jie JW Wu, Fatemeh Hendijani Fard

Code Poster Video @article{wu2025benchmarking, author = {Wu, Jie JW and Fard, Fatemeh H.}, title = {HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent}, journal = {ACM Trans. Softw. Eng. Methodol.}, year = {2025}, doi = {10.1145/3715109}, url = {https://doi.org/10.1145/3715109} }

ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
Autmoated Offline AB

AutoOffAB: Toward Automated Offline A/B Testing for Data-Driven Requirement Engineering

Jie JW Wu

32nd ACM International Conference on the Foundations of Software Engineering (FSE ’24, Ideas, Visions and Reflections Track)

Arxiv @inproceedings{wu2024autooffab, title={AutoOffAB: Toward Automated Offline A/B Testing for Data-Driven Requirement Engineering}, author={Wu, Jie JW}, booktitle={Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering}, pages={472--476}, year={2024} }
Code Clone Detection

Investigating the Efficacy of Large Language Models for Code Clone Detection

Mohamad Khajezade, Jie JW Wu, Fatemeh Hendijani Fard, Gema Rodríguez-Pérez,Mohamed Sami Shehata

International Conference on Program Comprehension (ICPC 2024), Early Research Achievements (ERA) (short paper)

Arxiv @inproceedings{khajezade2024investigating, title={Investigating the Efficacy of Large Language Models for Code Clone Detection}, author={Khajezade, Mohamad and Wu, Jie JW and Fard, Fatemeh Hendijani and Rodr{\'\i}guez-P{\'e}rez, Gema and Shehata, Mohamed Sami}, booktitle={Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension}, pages={161--165}, year={2024} }
V-Model

An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective

Jie JW Wu

3rd International Conference on AI Engineering – Software Engineering for AI (CAIN 2024) (long paper) Distinguished Paper Award Candidate.

Slides @inproceedings{wu2024exploratory, title={An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective}, author={Wu, Jie JW}, booktitle={3rd International Conference on AI Engineering – Software Engineering for AI (CAIN 2024)}, note={Lisbon, Portugal} }
LLM Communication

Large Language Models Should Ask Clarifying Questions to Increase Confidence in Generated Code

Jie JW Wu

The 7th Annual Symposium on Machine Programming (MAPS ’23 Workshop)

Slides @inproceedings{wu2023large, title={Large Language Models Should Ask Clarifying Questions to Increase Confidence in Generated Code}, author={Wu, Jie JW}, booktitle={The 7th Annual Symposium on Machine Programming (MAPS ’23 Workshop)}, note={Workshop, December 3, 2023, San Francisco, CA, USA} }
Dissertation

Towards Formalizing Data-Driven Decision-Making from Big Data: A Systematic Multi-Criteria Decision-Making Approach in Online Controlled Experiments

Jie JW Wu

Ph.D. Dissertation

Slides @phdthesis{wu2023towards, title={Towards Formalizing Data-Driven Decision-Making from Big Data: A Systematic Multi-Criteria Decision-Making Approach in Online Controlled Experiments}, author={Wu, Jie JW}, year={2023}, school={The George Washington University} }
MOVSW

A Multi-Objective Evolutionary Approach Towards Automated Online Controlled Experiments

Jie JW Wu, Thomas A. Mazzuchi, and Shahram Sarkani

Journal of Systems and Software, 2023.

Pre-print Code @article{wu2023multi, title={A multi-objective evolutionary approach towards automated online controlled experiments}, author={Wu, Jie JW and Mazzuchi, Thomas A and Sarkani, Shahram}, journal={Journal of Systems and Software}, pages={111703}, year={2023}, publisher={Elsevier} }
LDM

Comparison of Multi-Criteria Decision-Making Methods for Online Controlled Experiments in a Launch Decision-Making Framework

Jie JW Wu, Thomas A. Mazzuchi, and Shahram Sarkani

Information and Software Technology 155 (2023): 107115.

Pre-print Code Slides @article{wu2023comparison, title={Comparison of multi-criteria decision-making methods for online controlled experiments in a launch decision-making framework}, author={Wu, Jie JW and Mazzuchi, Thomas A and Sarkani, Shahram}, journal={Information and Software Technology}, volume={155}, pages={107115}, year={2023}, publisher={Elsevier} }
Offline Sketch Parsing

Offline Sketch Parsing via Shapeness Estimation

Jie Wu, Changhu Wang, Liqing Zhang, Yong Rui

IJCAI. Vol. 15. 2015. (long paper, acceptance rate:28.6%)
Online Sketch Recognition

Sketch Recognition with Natural Correction and Editing

Jie Wu, Changhu Wang, Liqing Zhang, Yong Rui

Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 28. No. 1. 2014. (long paper, acceptance rate:28.0%)

Video

Misc

Outside research and software engineering, I’m interested in the following topics, and I’m happy to talk about it if you find any of them interesting:

红楼梦 (Dream of the Red Chamber): Arguably the best 18th-century Chinese novel that describes the rise and fall of 贾’s family. I’m speechless about how great the realism is in the stories. Furthermore, on top of these highly realistic stories, a higher layer exists that implies Confucianism, Buddhism, and Taoism from Chinese philosophy.
Albert Einstein and history of Relativity, Quantum Physics: If Einstein’s life and contributions were written as fiction, I’d have trouble believing they actually happened. His story continues to fascinate me—both scientifically and historically.
Basketball: I (used to) play basketball regularly.
Reading: with a general focus on Non-fiction, History, and Philosophy.