Ke Wang

About me

I am currently a researcher on system security team at Visa Research, my research area lies in the intersection of Programming Language, Deep Learning and Artificial Intelligence. Previously I obtained my PhD in Computer Science from UC Davis under the supervision of Prof. Zhendong Su.

Visa Research is an emerging industrial research lab. We focus on fundamental research, encourage university collaboration, and emphasize academic publication. If you have a great publication record and are interested in pursuing a research career in our lab. Feel free to reach out at [first name](no space, comma, hyphen, etc.)[last name]@visa.com

Links

PhD Students/Post-docs/Research Scientists (co-) Advised

• Anjiang Wei from Stanford University (01/2024 - Now)
  • Improving Parallel Program Performance Through DSL-Driven Code Generation with LLM Optimizers
• Hongyu Chen from Nanjing University (01/2024 - Now)
  • [ASE 2024] Shoot Yourself in the Foot — Efficient Code Causes Inefficiency in Compiler Optimizations
• Qian Chen from Nanjing University (06/2021 - Now)
  • [OOPSLA 2024] Evaluating the Effectiveness of Deep Learning Models for Foundational Program Analysis Tasks
• Dr. Fengjuan Gao from Nanjing University (01/2023 - 12/2023)
  • [PLDI 2023] Discrete Adversarial Attack to Models of Code
• Guoren Li from University of California, Riverside (06/2022 - 09/2022)
• Jihye Choi from University of Wisconsin-Madison (06/2022 - 09/2022)
• Dr. Yizhen Wang from University of California, San Diego (06/2020 - Now)
  • [NEURIPS 2022] Robust Learning against Relational Adversaries (Oral Paper Presentation)
• Dr. Yu Wang from Nanjing University (02/2019 - 12/2020)
  • [OOPSLA 2020] Learning Semantic Program Embeddings with GINN (Distinguished Paper Award)
• Shitong Zhu from University of California, Riverside (02/2021 - 12/2021)
• Ahmed Abusnaina from University of Central Florida (06/2021 - 09/2021)
• Md Rafiqul Rabin from University of Houston (02/2019 - 2021/02)
  • [IST 2021] On the Generalizability of Neural Program Models with respect to Semantic-preserving Program Transformations
• Ziyang Li from University of Pennsylvania (06/2020 - 12/2020)
  • [S&P 2021] ARBITRAR: User-Guided API Misuse Detection
• Elizabeth Dinella from University of Pennsylvania (04/2019 - 07/2020)
  • [ICLR 2020] Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs
• Daniel Yahyazadeh from University of Iowa (06/2019 - 09/2019)

Professional Service

• Program Committe: PLDI 2025, PLDI 2023, ICSE SRC 2023, PLDI 2021, PLDI 2020, MAPL 2020
• Review Committe: NeurIPS 2024, ICML 2024, ICLR 2024, NeurIPS 2023, ICML 2023, ICLR 2023, NeurIPS 2022, ICML 2022, ICLR 2022, NeurIPS 2021, ICML 2021, NeurIPS 2020, USENIX Security 2019
• Journal Reviewing: TMLR 2022, 2023, 2024, Empir.Softw.Eng. 2021, TSE 2021, JSS 2021, ASE 2020, J. Symb. Comput. 2017