Exploring knowledge graph-based neural-symbolic system from application perspective. - Shenzhe Zhu; Shengxiang Sun (CoRR, 2024)

Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems. - Shengxiang Sun; Shenzhe Zhu (CoRR, 2024)

What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs. - Shu Yang 010; Shenzhe Zhu; Ruoxuan Bao; Liang Liu; Yu Cheng; Lijie Hu; Mengdi Li; Di Wang 015 (CoRR, 2024)

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving. - Shuo Xing; Hongyuan Hua; Xiangbo Gao; Shenzhe Zhu; Renjie Li 003; Kexin Tian; Xiaopeng Li; Heng Huang; Tianbao Yang; Zhangyang Wang; Yang Zhou 019; Huaxiu Yao; et al. (CoRR, 2024)

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements. - Shu Yang 010; Shenzhe Zhu; Zeyu Wu; Keyu Wang 001; Junchi Yao; Junchao Wu; Lijie Hu; Mengdi Li; Derek F. Wong; Di Wang 015 (ACL (Findings), 2025)

JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model. - Yi Nian; Shenzhe Zhu; Yuehan Qin; Li Li 006; Ziyi Wang; Chaowei Xiao; Yue Zhao 016 (CoRR, 2025)

Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning. - Junchi Yao; Jianhua Xu; Tianyu Xin; Ziyi Wang; Shenzhe Zhu; Shu Yang 010; Di Wang 015 (CoRR, 2025)

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets. - Shenzhe Zhu; Jiao Sun; Yi Nian; Tobin South; Alex Pentland; Jiaxin Pei (CoRR, 2025)