πŸ—ΊοΈ About Me

Hello, I’m 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.

🌍 Experiences

University of California, Santa Barbara

University of California, Santa Barbara

Ph.D. in Computer Science

Advisor: Wenbo Guo

Starting Fall 2026

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“ 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.

Stay tunned.

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.

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.

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), major revision.

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), major revision.

πŸ† Awards

🀝 Professional Service

πŸ—ΊοΈ Map