πŸ—ΊοΈ About Me

Hi, I’m Songyang Peng. My research interests include Machine Learning System, Agentic AI, and AI System Security.

I am a Ph.D. student in Computer Science at the University of California, Santa Barbara 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.

🌍 Experiences

University of California, Santa Barbara

University of California, Santa Barbara

Ph.D. in Computer Science

Advisor: Wenbo Guo

2026.09 – Now

Fudan University

Fudan University

M.S. in Computer Science

Advisors: Jiarun Dai, Yuan Zhang

2023.09 – 2026.06

ByteDance

ByteDance Ark

LLM Inference Engineer Intern

Mentor: Meng Wang

2025.04 – 2025.10

Tencent IEG

Tencent IEG

AI Research Intern, Game & Engine Intelligence

2024.12 – 2025.03

Tianjin University

Tianjin University

B.S. in Computer Science (Qiushi Class)

Advisor: Yu Mei

2019.09 – 2023.06

πŸ”₯ News

  • 2026.09 🌊 Started my Ph.D. in Computer Science at UC Santa Barbara, working with Prof. Wenbo Guo. Excited for the journey ahead!
  • 2026.09 πŸŽ‰ BHUNTER was accepted by ACM TOSEM on generating blind-spot driving scenarios for robustness testing of perception systems.
  • 2026.08 🎀 I will give an Oral talk at KDD 2026 on Amour. See you in Jeju! 🌊
  • 2026.07 πŸŽ‰ LawSentry was accepted by IEEE TIFS on LLM-empowered oracle generation for logical flaw detection in autonomous driving.
  • 2026.07 πŸ‘₯ I will attend ICML 2026 with my co-authors on Darwinian Memory. See you in Seoul! πŸ™οΈ
  • 2026.05 πŸŽ“ I successfully defended my master’s thesis and graduated! Thanks to my advisor Prof. Jiarun Dai! πŸ™
  • 2026.05 🧐 Served as a reviewer for the Second Workshop on Agents in the Wild: Safety, Security, and Beyond at ICML 2026.
  • 2026.03 πŸŽ“ Accepted to the Computer Science Ph.D. program at University of California, Santa Barbara, where I will join Wenbo Guo’s group. See you in Santa Barbara! 🌊
  • 2026 πŸŽ‰ One paper accepted by ICML 2026 on Darwinian memory for GUI agent evolution.
  • 2025 πŸŽ‰ One paper accepted by USENIX Security 2026 on agent-based DoS attacks.
  • 2025.04 πŸŽ‰ Started as LLM Inference Engineer Intern at ByteDance.
  • 2024.12 πŸŽ‰ Selected for Tencent’s Game-Engine Computer Graphics Practice Elite Talent Program as an AI Research Intern.
  • 2024 πŸŽ‰ One paper accepted by USENIX VehicleSec 2026 on fuzzing-based testing for autonomous driving.

πŸ“ Publications * Equal contribution (Co-first authors).

Preprint

AgentGuard: An Attribute-Based Access Control Framework for Tool-Use LLM-Based Agent

Jiaqi Luo*, Songyang Peng*, Jiarun Dai, Zhile Chen, Zhuoxiang Shen, Geng Hong, Xudong Pan, Yuan Zhang, Min Yang.

We welcome community contributions!

SciSoc Agents & LLMs 26'

Amour: A Latent Dynamical System for Controllable and Stateful Social Interaction in LLMs

Songyang Peng, Ruoyu Fang, Xinfeng Yuan, Haidong Zheng, Zesong Yang, Ruijie Wang, Hongze Mi, Yilan Guo, Linxiao Zhou.

KDD 2026 Workshop on SciSoc Agents & LLMs (Oral); manuscript under review.

ICML'26

Darwinian Memory: A Training-Free Self-Regulating Memory System for GUI Agent Evolution

Hongze Mi, Yibo Feng, WenJie Lu, Song Cao, Jinyuan Li, Yanming Li, Xuelin Zhang, Haotian Luo, Songyang Peng, He Cui, Tengfei Tian, Jun Fang, Hua Chai, Naiqiang Tan.

In Proceedings of the International Conference on Machine Learning (ICML), 2026.

USENIX Security'26

Autonomy Comes with Costs: Detecting Denial-of-Service Vulnerabilities Caused by Resource Abusing in LLM-based Agents

Jiaqi Luo, Jiarun Dai, Fengyu Liu, Songyang Peng, Youkun Shi, Tong Bu, Geng Hong, Xudong Pan, Yuan Zhang.

In Proceedings of the 35th USENIX Security Symposium (USENIX Security), Baltimore, MD, USA, August 12-14, 2026.

TOSEM'26

BHUNTER: Generating Blind-Spot Driving Scenarios for Robustness Testing of Perception Systems

Songyang Peng, Jiarun Dai, Yanghao Lv, Jiaqi Luo, Zongan Huang, Yuan Zhang, Min Yang.

ACM Transactions on Software Engineering and Methodology (TOSEM), 2026

IEEE TIFS'26

Facilitating Logical Flaw Detection for Autonomous Driving Systems through LLM-Empowered Oracle Generation

Zongan Huang, Jiarun Dai, Jiaqi Luo, Qifan Xiao, Songyang Peng, Xudong Pan, Yuan Zhang, Min Yang.

IEEE Transactions on Information Forensics and Security (TIFS), 2026.

VehicleSec'25

APSFUZZ: Simulation-Based Fuzzing Testing for Automated Parking Systems

Tong Bu, Jiarun Dai, Jiaqi Luo, Songyang Peng, Zongan Huang, Min Yang.

In Proceedings of the 3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec), 2025, pages 289-296.

πŸ† Awards

🀝 Professional Service

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