I am on the job market and expect to graduate in 2026.
I am a Ph.D. candidate (thesis submitted) at the PLSE Lab, School of Computing, National University of Singapore, advised by Prof. Jin Song Dong.
My current research focuses on long-horizon AI agents, particularly coding agents and their evaluation. I also have experience in trustworthy AI and building AI systems, including model development, deployment monitoring, and large-scale data pipelines.
Education
- Ph.D. in Computer Science (2022–2026, expected)
National University of Singapore
Advisor: Prof. Jin Song Dong - Master of Computing in Artificial Intelligence (2020–2021)
National University of Singapore - Bachelor of Engineering in Computer Science (2015–2019)
Xidian University, Xi'an, China
Experience
- SoTA AI Lab, Zhihu Inc., Singapore
Research Intern & Project Lead — SWE-Continuum (Jun 2026–Sep 2026) - School of Computing, National University of Singapore
Ph.D. Researcher — Machine Learning & Trustworthy AI (Jan 2022–Present) - National University of Singapore, Singapore
Research Assistant — Machine Learning & Data Systems (Jun 2021–Dec 2021) - Singtel-NUS Cyber Security R&D Lab, Singapore
Research Intern — Trustworthy AI (Jan 2020–Jun 2020) - JD Intelligent Cities Research, JD.com, Inc., Beijing, China
Research Intern — Distributed Reinforcement Learning with Ray (Jan 2018–Jun 2018)
Publications
SWE-Continuum: Multi-Stage Profiling of Behavioral Continuity in Long-Horizon Agents
Under Review at ICLR · 2027 · [PDF]
From Attack Surfaces to Actual Operations: A Survey of Modern LLM Jailbreaks
ACL Findings · 2026 · [PDF]
Risk-Aware Robust Graph Network Explanation
Under Review · 2026 · [PDF]
Ignoring Directionality Leads to Compromised Graph Neural Network Explanations
IEEE S&P Workshops (HMI-SA) · 2025 · [PDF]
PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification
AAAI (Oral) · 2024 · [PDF]
Repairing Failure-inducing Inputs with Input Reflection
ASE · 2022 · [PDF]
PIANO: Influence Maximization Meets Deep Reinforcement Learning
IEEE TCSS · 2022 · [PDF]
Self-Checking Deep Neural Networks in Deployment
ICSE · 2021 · [PDF]
Generalizing Neural Networks by Reflecting Deviating Data in Production
arXiv · 2021 · [PDF]
Digraph Inception Convolutional Networks
NeurIPS · 2020 · [PDF]
Directed Graph Convolutional Network
arXiv · 2020 · [PDF]
Disco: Influence Maximization Meets Network Embedding and Deep Learning
arXiv · 2019 · [PDF]