Pingchuan Ma

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 53

Top Topics

Causal Discovery

Conditional Independence

Data Exploration

Top Venues

Proc. VLDB Endow.

Publications

Zhaoyu Wang, Pingchuan Ma, Huaijin Wang, Shuai Wang
PP-CSA: Practical Privacy-Preserving Software Call Stack Analysis. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD (2024)
Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu
On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. ICSE (2024)
Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning. ICSE (2024)
Ao Sun, Yuanyuan Yuan, Pingchuan Ma, Shuai Wang
Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning. CoRR (2024)
Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang
How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation. CoRR (2024)
Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu
An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios. CoRR (2024)
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
ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility. ICRA (2024)
Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu
Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios. IPSN (2024)
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). CoRR (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)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
XInsight: eXplainable Data Analysis Through The Lens of Causality. Proc. ACM Manag. Data 1 (2) (2023)
Pingchuan Ma, Zongjie Li, Ao Sun, Shuai Wang
"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process. CoRR (2023)
Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao
On the Feasibility of Specialized Ability Stealing for Large Language Code Models. CoRR (2023)
Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
Explain Any Concept: Segment Anything Meets Concept-Based Explanation. NeurIPS (2023)
Zhenlan Ji, Pingchuan Ma, Shuai Wang
Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. ASE (2023)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR (2023)
Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu
Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. CoRR (2023)
Zhaoyu Wang, Pingchuan Ma, Shuai Wang
Towards Practical Federated Causal Structure Learning. ECML/PKDD (2) (2023)
Huaijin Wang, Pingchuan Ma, Yuanyuan Yuan, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking. IEEE Trans. Software Eng. 49 (1) (2023)
Huaijin Wang, Pingchuan Ma, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
sem2vec: Semantics-aware Assembly Tracelet Embedding. ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Zeyang Zhuang, Penghui Li, Pingchuan Ma, Wei Meng, Shuai Wang
Testing Graph Database Systems via Graph-Aware Metamorphic Relations. Proc. VLDB Endow. 17 (4) (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)
Zhaoyu Wang, Pingchuan Ma, Shuai Wang
Towards Practical Federated Causal Structure Learning. CoRR (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)
Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao
VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. CoRR (2023)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) (2023)
Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach. CoRR (2023)
Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
Explain Any Concept: Segment Anything Meets Concept-Based Explanation. CoRR (2023)
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD (2022)
Zhenlan Ji, Pingchuan Ma, Shuai Wang
Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning. SEKE (2022)
Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. ICSE (2022)
Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. CoRR (2022)
Wai Kin Wong, Huaijin Wang, Pingchuan Ma, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen, Qiyi Tang, Sen Nie, Shi Wu
Deceiving Deep Neural Networks-Based Binary Code Matching with Adversarial Programs. ICSME (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)
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
XInsight: eXplainable Data Analysis Through The Lens of Causality. CoRR (2022)
Zhenlan Ji, Pingchuan Ma, Shuai Wang
PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. CoRR (2022)
Pingchuan Ma, Zhibo Liu, Yuanyuan Yuan, Shuai Wang
NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. SIGMOD Conference (2021)
Pingchuan Ma, Shuai Wang
MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations. Proc. VLDB Endow. 15 (3) (2021)
Pingchuan Ma, Shuai Wang, Jin Liu
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models. IJCAI (2020)
Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Jianyi Zhang, Tao Yang
Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices. INFOCOM Workshops (2020)
Pingchuan Ma, Shuai Wang
MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing. CoRR (2020)
Pingchuan Ma, Zhiqiang Wang, Xiali Hei, Xiaoxiang Zou, Jianyi Zhang, Qixu Liu, Xin Lyu, Zihan Zhuo
A Quantitative Approach for Medical Imaging Device Security Assessment. DSN (Supplements) (2019)
Pingchuan Ma, Zhiqiang Wang, Le Zhang, Ruming Wang, Xiaoxiang Zou, Tao Yang
Differentially Private Reinforcement Learning. ICICS (2019)
Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Tao Yang
Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices. CoRR (2019)
Zhiqiang Wang, Pingchuan Ma, Ruming Wang, Shichun Gao, Xuying Zhao, Tao Yang
VulAware: Towards Massive-Scale Vulnerability Detection in Cyberspace. MLICOM (2018)
Zhiqiang Wang, Yao Tang, Jing Yao, Rong Qian, Zheng Zhang, Pingchuan Ma
Large-scale Malware Automatic Detection Based On Multiclass Features and Machine Learning. CSAE (2018)
Zhiqiang Wang, Pingchuan Ma, Yaping Chi, Jianyi Zhang
Medical Devices are at Risk: Information Security on Diagnostic Imaging System. CCS (2018)