πΊοΈ About Me
Hello, Iβm Songyang Peng. My research interests include Agentic AI, Machine Learning System, and AI System Security.
I am an incoming Ph.D. student (Fall 2026) in Computer Science at the University of California, Santa Barbara, where I will be advised by Wenbo Guo. I received my M.S. in Computer Science from Fudan University, where I worked mainly under the guidance of Jiarun Dai and Yuan Zhang. I received my B.S. in Computer Science (Qiushi Class) from Tianjin University, where I was advised by Yu Mei.
Previously, I worked as a LLM Inference Engineer Intern at ByteDance, Ark, mentored by Meng Wang, contributing to high-performance LLM serving and agent infrastructure. Before that, I was an AI Research Intern at Tencent, IEG.
π Experiences
University of California, Santa Barbara
Ph.D. in Computer Science
Advisor: Wenbo Guo
Starting Fall 2026
Tencent IEG
AI Research Intern, Game & Engine Intelligence
2024.12 β 2025.03
π Publications * Equal contribution (Co-first authors).
Amour: A Latent Dynamical System for Controllable and Stateful Social Interaction in LLMs
KDD 2026 Workshop on SciSoc Agents & LLMs (Oral); manuscript under review.
Darwinian Memory: A Training-Free Self-Regulating Memory System for GUI Agent Evolution
In Proceedings of the International Conference on Machine Learning (ICML), 2026.
Autonomy Comes with Costs: Detecting Denial-of-Service Vulnerabilities Caused by Resource Abusing in LLM-based Agents
In Proceedings of the 35th USENIX Security Symposium (USENIX Security), Baltimore, MD, USA, August 12-14, 2026.
BHUNTER: Generating Blind-Spot Driving Scenarios for Robustness Testing of Perception Systems
ACM Transactions on Software Engineering and Methodology (TOSEM), major revision.
Facilitating Logical Flaw Detection for Autonomous Driving Systems through LLM-Empowered Oracle Generation
IEEE Transactions on Information Forensics and Security (TIFS), major revision.
π Awards
- 2021, Mathematical Contest in Modeling (MCM) Honorable Mention.
- 2020, 1st Prize in China Collegiate Intelligent Robot Innovation Competition.
π€ Professional Service
- Workshop reviewer, Agents in the Wild (ICML 2026), May 2026.