Zhenlan Ji

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Discovery Process

Conditional Independence

Causal Discovery

Top Venues

Publications

Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning. ICSE (2024)
Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, Shuai Wang
Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs. CoRR (2024)
Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. CoRR (2024)
Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models. CoRR (2023)
Zhenlan Ji, Pingchuan Ma, Shuai Wang
Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. ASE (2023)
Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
CC: Causality-Aware Coverage Criterion for Deep Neural Networks. ICSE (2023)
Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li
Causality-Aided Trade-Off Analysis for Machine Learning Fairness. ASE (2023)
Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version). CoRR (2023)
Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li
Causality-Aided Trade-off Analysis for Machine Learning Fairness. CoRR (2023)
Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach. CoRR (2023)
Zhenlan Ji, Pingchuan Ma, Shuai Wang
Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning. SEKE (2022)
Pingchuan Ma, Zhenlan Ji, Qi Pang, Shuai Wang
NoLeaks: Differentially Private Causal Discovery Under Functional Causal Model. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Zhenlan Ji, Pingchuan Ma, Shuai Wang
PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. CoRR (2022)
Wen-Chin Huang, Zhenlan Ji, Yanhui Li
An Empirical Study on Issue Knowledge Transfer from Python to R for Machine Learning Software. SEKE (2020)