Zhenlan Ji - RankMe

32 papers A* 7C 2Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models. CoRR Xunguang Wang, Yuguang Zhou, Qingyue Wang, Zongjie Li, Ruixuan Huang, Zhenlan Ji, Pingchuan Ma, Shuai Wang
2026	J	`jnl`	CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems. CoRR Zongyi Lyu, Zhenlan Ji, Songqiang Chen, Liwen Wang, Yuheng Huang, Shuai Wang, Shing-Chi Cheung
2026	J	`jnl`	Reeq: Testing and Mitigating Ethically Inconsistent Suggestions of Large Language Models with Reflective Equilibrium. ACM Trans. Softw. Eng. Methodol. Pingchuan Ma, Zhaoyu Wang, Zongjie Li, Zhenlan Ji, Ao Sun, Juergen Rahmel, Shuai Wang
2025	J	`jnl`	Causality-Aided Evaluation and Explanation of Large Language Model-Based Code Generation. Proc. ACM Softw. Eng. Zhenlan Ji, Pingchuan Ma, Zongjie Li, Zhaoyu Wang, Shuai Wang
2025	J	`jnl`	Digging Into the Internal: Causality-Based Analysis of LLM Function Calling. CoRR Zhenlan Ji, Daoyuan Wu, Wenxuan Wang, Pingchuan Ma, Shuai Wang, Lei Ma
2025	J	`jnl`	Disabling Self-Correction in Retrieval-Augmented Generation via Stealthy Retriever Poisoning. CoRR Yanbo Dai, Zhenlan Ji, Zongjie Li, Kuan Li, Shuai Wang
2025	J	`jnl`	Evaluating LLMs on Sequential API Call Through Automated Test Generation. CoRR Yuheng Huang, Da Song, Zhenlan Ji, Shuai Wang, Lei Ma
2025	J	`jnl`	Guardrail: Automated Integrity Constraint Synthesis From Noisy Data. Proc. ACM Manag. Data Pingchuan Ma, Zhaoyu Wang, Zhenlan Ji, Zongjie Li, Ao Sun, Shuai Wang
2025	J	`jnl`	IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems. CoRR Liwen Wang, Wenxuan Wang, Shuai Wang, Zongjie Li, Zhenlan Ji, Zongyi Lyu, Daoyuan Wu, Shing-Chi Cheung
2025	J	`jnl`	NAMET: Robust Massive Model Editing via Noise-Aware Memory Optimization. CoRR Yanbo Dai, Zhenlan Ji, Zongjie Li, Shuai Wang
2025	J	`jnl`	Privacy-preserving and Verifiable Causal Prescriptive Analytics. Proc. ACM Manag. Data Zhaoyu Wang, Pingchuan Ma, Zhantong Xue, Yanbo Dai, Zhenlan Ji, Shuai Wang
2025	J	`jnl`	SEAL: Subspace-Anchored Watermarks for LLM Ownership. CoRR Yanbo Dai, Zongjie Li, Zhenlan Ji, Shuai Wang
2025	J	`jnl`	STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models. CoRR Xunguang Wang, Wenxuan Wang, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang
2025	A*	`conf`	SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. USENIX Security Symposium Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel
2025	J	`jnl`	SoK: Evaluating Jailbreak Guardrails for Large Language Models. CoRR Xunguang Wang, Zhenlan Ji, Wenxuan Wang, Zongjie Li, Daoyuan Wu, Shuai Wang
2025	J	`jnl`	Testing and Enhancing Multi-Agent Systems for Robust Code Generation. CoRR Zongyi Lyu, Songqiang Chen, Zhenlan Ji, Liwen Wang, Shuai Wang, Daoyuan Wu, Wenxuan Wang, Shing-Chi Cheung
2025	A*	`conf`	Testing and Understanding Deviation Behaviors in FHE-Hardened Machine Learning Models. ICSE Yiteng Peng, Daoyuan Wu, Zhibo Liu, Dongwei Xiao, Zhenlan Ji, Juergen Rahmel, Shuai Wang
2025	A*	`conf`	The Phantom Menace in Crypto-Based PET-Hardened Deep Learning Models: Invisible Configuration-Induced Attacks. CCS Yiteng Peng, Dongwei Xiao, Zhibo Liu, Zhenlan Ji, Daoyuan Wu, Shuai Wang, Juergen Rahmel
2024	A*	`conf`	Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning. ICSE Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren
2024	J	`jnl`	SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. CoRR Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel
2024	J	`jnl`	Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs. CoRR Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, Shuai Wang
2023	J	`jnl`	Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach. CoRR Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang
2023	A*	`conf`	CC: Causality-Aware Coverage Criterion for Deep Neural Networks. ICSE Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
2023	A*	`conf`	Causality-Aided Trade-Off Analysis for Machine Learning Fairness. ASE Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li
2023	J	`jnl`	Causality-Aided Trade-off Analysis for Machine Learning Fairness. CoRR Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li
2023	J	`jnl`	Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version). CoRR Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren
2023	J	`jnl`	InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models. CoRR Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang
2023	A*	`conf`	Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. ASE Zhenlan Ji, Pingchuan Ma, Shuai Wang
2022	J	`jnl`	NoLeaks: Differentially Private Causal Discovery Under Functional Causal Model. IEEE Trans. Inf. Forensics Secur. Pingchuan Ma, Zhenlan Ji, Qi Pang, Shuai Wang
2022	J	`jnl`	PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. CoRR Zhenlan Ji, Pingchuan Ma, Shuai Wang
2022	C	`conf`	Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning. SEKE Zhenlan Ji, Pingchuan Ma, Shuai Wang
2020	C	`conf`	An Empirical Study on Issue Knowledge Transfer from Python to R for Machine Learning Software. SEKE Wen-Chin Huang, Zhenlan Ji, Yanhui Li