Pingchuan Ma - RankMe

73 papers A* 15A 1C 2Journal 47Unranked 8

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`	Efficient Differentiable Causal Discovery via Reliable Super-Structure Learning. CoRR Pingchuan Ma, Qixin Zhang, Shuai Wang, Dacheng Tao
2026	J	`jnl`	Hi-CBM: Mitigating information leakage via hierarchical concept bottleneck modeling. Neurocomputing Ao Sun, Qingyue Wang, Yuanyuan Yuan, Pingchuan Ma, Shuai Wang
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
2026	J	`jnl`	SkillReducer: Optimizing LLM Agent Skills for Token Efficiency. CoRR Yudong Gao, Zongjie Li, Yuanyuanyuan, Zimo Ji, Pingchuan Ma, Shuai Wang
2026	J	`jnl`	Taming Various Privilege Escalation in LLM-Based Agent Systems: A Mandatory Access Control Framework. CoRR Zimo Ji, Daoyuan Wu, Wenyuan Jiang, Pingchuan Ma, Zongjie Li, Yudong Gao, Shuai Wang, Yingjiu Li
2026	J	`jnl`	WARBENCH: A Comprehensive Benchmark for Evaluating LLMs in Military Decision-Making. CoRR Zongjie Li, Chaozheng Wang, Yuchong Xie, Pingchuan Ma, 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`	From Evaluation to Enhancement: Large Language Models for Zero-Knowledge Proof Code Generation. CoRR Zhantong Xue, Pingchuan Ma, Zhaoyu Wang, Shuai Wang
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	A*	`conf`	Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges. CCS Zimo Ji, Daoyuan Wu, Wenyuan Jiang, Pingchuan Ma, Zongjie Li, Shuai Wang
2025	J	`jnl`	Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges. CoRR Zimo Ji, Daoyuan Wu, Wenyuan Jiang, Pingchuan Ma, 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`	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`	Taxonomy, Evaluation and Exploitation of IPI-Centric LLM Agent Defense Frameworks. CoRR Zimo Ji, Xunguang Wang, Zongjie Li, Pingchuan Ma, Yudong Gao, Daoyuan Wu, Xincheng Yan, Tian Tian, Shuai Wang
2025	J	`jnl`	Zinnia: An Expressive and Efficient Tensor-Oriented Zero-Knowledge Programming Framework. IACR Cryptol. ePrint Arch. Zhantong Xue, Pingchuan Ma, Zhaoyu Wang, Shuai Wang
2024	A*	`conf`	ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility. ICRA Yunsheng Tian, Karl D. D. Willis, Bassel Al Omari, Jieliang Luo, Pingchuan Ma, Yichen Li, Farhad Javid, Edward Gu, Joshua Jacob, Shinjiro Sueda, Hui Li, Sachin Chitta, Wojciech Matusik
2024	J	`jnl`	An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios. CoRR Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu
2024	J	`jnl`	Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning. CoRR Ao Sun, Yuanyuan Yuan, Pingchuan Ma, Shuai Wang
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`	Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools. IEEE Trans. Dependable Secur. Comput. Zongjie Li, Zhibo Liu, Wai Kin Wong, Pingchuan Ma, Shuai Wang
2024	J	`jnl`	How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation. CoRR Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang
2024	A*	`conf`	On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. ICSE Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu
2024	J	`jnl`	PP-CSA: Practical Privacy-Preserving Software Call Stack Analysis. Proc. ACM Program. Lang. Zhaoyu Wang, Pingchuan Ma, Huaijin Wang, Shuai Wang
2024	—	`conf`	Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios. IPSN Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu
2024	J	`jnl`	Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). CoRR Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024	A*	`conf`	Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
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	A*	`conf`	Split and Merge: Aligning Position Biases in LLM-based Evaluators. EMNLP Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu
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`	"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process. CoRR Pingchuan Ma, Zongjie Li, Ao Sun, 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`	Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
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`	Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking. IEEE Trans. Software Eng. Huaijin Wang, Pingchuan Ma, Yuanyuan Yuan, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
2023	A*	`conf`	Explain Any Concept: Segment Anything Meets Concept-Based Explanation. NeurIPS Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
2023	J	`jnl`	Explain Any Concept: Segment Anything Meets Concept-Based Explanation. CoRR Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
2023	—	`conf`	InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
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	J	`jnl`	On the Feasibility of Specialized Ability Extracting for Large Language Code Models. CoRR Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao
2023	A*	`conf`	Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. ASE Zhenlan Ji, Pingchuan Ma, Shuai Wang
2023	J	`jnl`	Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. CoRR Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu
2023	J	`jnl`	Testing Graph Database Systems via Graph-Aware Metamorphic Relations. Proc. VLDB Endow. Zeyang Zhuang, Penghui Li, Pingchuan Ma, Wei Meng, Shuai Wang
2023	—	`conf`	Towards Practical Federated Causal Structure Learning. ECML/PKDD (2) Zhaoyu Wang, Pingchuan Ma, Shuai Wang
2023	J	`jnl`	Towards Practical Federated Causal Structure Learning. CoRR Zhaoyu Wang, Pingchuan Ma, Shuai Wang
2023	J	`jnl`	VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. CoRR Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao
2023	J	`jnl`	XInsight: eXplainable Data Analysis Through The Lens of Causality. Proc. ACM Manag. Data Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023	J	`jnl`	sem2vec: Semantics-aware Assembly Tracelet Embedding. ACM Trans. Softw. Eng. Methodol. Huaijin Wang, Pingchuan Ma, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
2022	A	`conf`	Deceiving Deep Neural Networks-Based Binary Code Matching with Adversarial Programs. ICSME Wai Kin Wong, Huaijin Wang, Pingchuan Ma, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen, Qiyi Tang, Sen Nie, Shi Wu
2022	A*	`conf`	ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
2022	J	`jnl`	NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers. IEEE Trans. Inf. Forensics Secur. Pingchuan Ma, Zhibo Liu, Yuanyuan Yuan, 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
2022	A*	`conf`	Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. ICSE Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
2022	J	`jnl`	Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. CoRR Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
2022	J	`jnl`	XInsight: eXplainable Data Analysis Through The Lens of Causality. CoRR Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2021	J	`jnl`	MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations. Proc. VLDB Endow. Pingchuan Ma, Shuai Wang
2021	—	`conf`	MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. SIGMOD Conference Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
2020	J	`jnl`	MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing. CoRR Pingchuan Ma, Shuai Wang
2020	A*	`conf`	Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models. IJCAI Pingchuan Ma, Shuai Wang, Jin Liu
2020	—	`conf`	Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices. INFOCOM Workshops Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Jianyi Zhang, Tao Yang
2019	—	`conf`	A Quantitative Approach for Medical Imaging Device Security Assessment. DSN (Supplements) Pingchuan Ma, Zhiqiang Wang, Xiali Hei, Xiaoxiang Zou, Jianyi Zhang, Qixu Liu, Xin Lyu, Zihan Zhuo
2019	C	`conf`	Differentially Private Reinforcement Learning. ICICS Pingchuan Ma, Zhiqiang Wang, Le Zhang, Ruming Wang, Xiaoxiang Zou, Tao Yang
2019	J	`jnl`	Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices. CoRR Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Tao Yang
2018	—	`conf`	Large-scale Malware Automatic Detection Based On Multiclass Features and Machine Learning. CSAE Zhiqiang Wang, Yao Tang, Jing Yao, Rong Qian, Zheng Zhang, Pingchuan Ma
2018	A*	`conf`	Medical Devices are at Risk: Information Security on Diagnostic Imaging System. CCS Zhiqiang Wang, Pingchuan Ma, Yaping Chi, Jianyi Zhang
2018	—	`conf`	VulAware: Towards Massive-Scale Vulnerability Detection in Cyberspace. MLICOM Zhiqiang Wang, Pingchuan Ma, Ruming Wang, Shichun Gao, Xuying Zhao, Tao Yang