Jie “JW” Wu
About JW
My original first name is 杰 (Jie). I also go by JW. How to pronounce Jie? Please see this link with audio to learn how to pronounce Jie (“JEE-yeh” is pretty close). I’m happy to accept any approximation, so please feel free to use your favorite variants!
I’m a postdoc at University of British Columbia, working with Dr. Fatemeh Fard at the intersection of GenAI and Software Engineering. 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. My PhD dissertation is titled “Towards Formalizing Data-Driven Decision-Making from Big Data: A Systematic Multi-Criteria Decision-Making Approach in Online Controlled Experiments”. I was a research intern at Google Research and Microsoft Research Asia. I publish under “Jie JW Wu”.
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, data analysis, scalable backend service and infrastructure, mobile applications, etc.
Research Interests
My research interest is context-driven systems thinking to enable trustworthy and safe AIware. Guided by the ideological systems thinking mindset and the realistic industrial context, my work aims to improve trustworthiness and safety of AIware, i.e. AI-powered software, in the Foundational Model (FM) era. I love combining concepts and techniques from different fields to achieve my research goals.
Keywords: AI for Software Engineering (AI4SE), Software Engineering for AI (SE4AI), Foundational Models (FM), Data Science, Systems Engineering
News
⚡ 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!
Publications
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LLM Communication Benchmark
(long paper, under review) -
Autmoated Offline AB
32nd ACM International Conference on the Foundations of Software Engineering (FSE ’24, Ideas, Visions and Reflections Track) -
Code Clone Detection
International Conference on Program Comprehension (ICPC 2024), Early Research Achievements (ERA) (short paper) -
V-Model
3rd International Conference on AI Engineering – Software Engineering for AI (CAIN 2024) (long paper) Distinguished Paper Award Candidate. Selected to appear in IEEE Software Practioners' Digest column. -
LLM Communication
The 7th Annual Symposium on Machine Programming (MAPS ’23 Workshop) -
MOVSW
Journal of Systems and Software, 2023. -
LDM
Information and Software Technology 155 (2023): 107115. -
Offline Sketch Parsing
IJCAI. Vol. 15. 2015. (long paper, acceptance rate:28.6%) (M.S. Thesis) -
Online Sketch Recognition
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 28. No. 1. 2014. (long paper, acceptance rate:28.0%) (M.S. Thesis) -
SmartVisio
Proceedings of the 22nd ACM international conference on Multimedia. 2014. (demo paper) (M.S. Thesis) -
Gestalt Saliency
2013 IEEE International Conference on Image Processing. IEEE, 2013. (B.S. Thesis) -
Search Ranking
Proceedings of the 22nd International Conference on World Wide Web. 2013. (poster paper)
Dissertation
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 deeds were written into a novel, I would not believe that it would happen in the real world!
- Basketball: I (used to) play every week
- Reading: with a general focus on History, Non-fiction, and Philosophy