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Pingchuan Ma 0004
Person information
- unicode name: 马平川
- affiliation: Hong Kong University of Science and Technology, Hong Kong
- affiliation (former): Beijing Electronic Science and Technology Institute, China
Other persons with the same name
- Pingchuan Ma 0001
— Meta AI (and 1 more)
- Pingchuan Ma 0002 — Massachusetts Institute of Technology, CSAIL, Cambridge, USA (and 1 more)
- Pingchuan Ma 0003 — Beihang University, Beijing, China
- Pingchuan Ma 0005 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Pingchuan Ma 0006
- Pingchuan Ma 0007 — Shanghai University of Traditional Chinese Medicine, Longhua Hospital, China
- Pingchuan Ma 0008 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, KLMM, Beijing, China (and 1 more)
- Pingchuan Ma 0009
- Pingchuan Ma 0011
- Pingchuan Ma 0012 — Arizona State University, Tempe, AZ, USA
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2020 – today
- 2024
- [j9]Zhaoyu Wang
PP-CSA: Practical Privacy-Preserving Software Call Stack Analysis. Proc. ACM Program. Lang. 8(OOPSLA1): 1264-1293 (2024) - [j8]Zongjie Li
Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools. IEEE Trans. Dependable Secur. Comput. 21(5): 4600-4618 (2024) - [c24]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu:
Split and Merge: Aligning Position Biases in LLM-based Evaluators. EMNLP 2024: 11084-11108 - [c23]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: 4380-4386 - [c22]Pingchuan Ma
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning. ICSE 2024: 30:1-30:13 - [c21]Zongjie Li
On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. ICSE 2024: 74:1-74:13 - [c20]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: 283-284 - [c19]Pingchuan Ma
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD 2024: 2141-2152 - [i22]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 abs/2402.01723 (2024) - [i21]Ao Sun, Yuanyuan Yuan, Pingchuan Ma, Shuai Wang:
Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning. CoRR abs/2402.05945 (2024) - [i20]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 abs/2404.13945 (2024) - [i19]Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, Shuai Wang:
Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs. CoRR abs/2404.17833 (2024) - [i18]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 abs/2406.05498 (2024) - [i17]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 abs/2406.10537 (2024) - 2023
- [j7]Pingchuan Ma
XInsight: eXplainable Data Analysis Through The Lens of Causality. Proc. ACM Manag. Data 1(2): 156:1-156:27 (2023) - [j6]Zeyang Zhuang, Penghui Li, Pingchuan Ma, Wei Meng, Shuai Wang:
Testing Graph Database Systems via Graph-Aware Metamorphic Relations. Proc. VLDB Endow. 17(4): 836-848 (2023) - [j5]Huaijin Wang
sem2vec: Semantics-aware Assembly Tracelet Embedding. ACM Trans. Softw. Eng. Methodol. 32(4): 90:1-90:34 (2023) - [j4]Huaijin Wang
Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking. IEEE Trans. Software Eng. 49(1): 226-250 (2023) - [c18]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) 2023: 346-352 - [c17]Zhenlan Ji
CC: Causality-Aware Coverage Criterion for Deep Neural Networks. ICSE 2023: 1788-1800 - [c16]Zhenlan Ji
Causality-Aided Trade-Off Analysis for Machine Learning Fairness. ASE 2023: 371-383 - [c15]Zhenlan Ji
Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. ASE 2023: 1454-1466 - [c14]Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang:
Explain Any Concept: Segment Anything Meets Concept-Based Explanation. NeurIPS 2023 - [c13]Zhaoyu Wang
Towards Practical Federated Causal Structure Learning. ECML/PKDD (2) 2023: 351-367 - [i16]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao:
On the Feasibility of Specialized Ability Extracting for Large Language Code Models. CoRR abs/2303.03012 (2023) - [i15]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR abs/2304.00477 (2023) - [i14]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 abs/2305.02626 (2023) - [i13]Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang:
Explain Any Concept: Segment Anything Meets Concept-Based Explanation. CoRR abs/2305.10289 (2023) - [i12]Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li:
Causality-Aided Trade-off Analysis for Machine Learning Fairness. CoRR abs/2305.13057 (2023) - [i11]Zhaoyu Wang, Pingchuan Ma, Shuai Wang:
Towards Practical Federated Causal Structure Learning. CoRR abs/2306.09433 (2023) - [i10]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 abs/2309.05264 (2023) - [i9]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 abs/2310.01432 (2023) - [i8]Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang:
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach. CoRR abs/2310.06680 (2023) - [i7]Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang:
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models. CoRR abs/2312.01886 (2023) - [i6]Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao:
VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. CoRR abs/2312.04087 (2023) - 2022
- [j3]Pingchuan Ma, Zhibo Liu
NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers. IEEE Trans. Inf. Forensics Secur. 17: 982-997 (2022) - [j2]Pingchuan Ma, Zhenlan Ji
NoLeaks: Differentially Private Causal Discovery Under Functional Causal Model. IEEE Trans. Inf. Forensics Secur. 17: 2324-2338 (2022) - [c12]Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. ICSE 2022: 2253-2265 - [c11]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: 117-128 - [c10]Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang:
ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD 2022: 1213-1223 - [c9]Zhenlan Ji
Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning. SEKE 2022: 525-530 - [i5]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 abs/2204.09191 (2022) - [i4]Zhenlan Ji, Pingchuan Ma, Shuai Wang:
PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. CoRR abs/2207.08369 (2022) - [i3]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
XInsight: eXplainable Data Analysis Through The Lens of Causality. CoRR abs/2207.12718 (2022) - 2021
- [j1]Pingchuan Ma, Shuai Wang:
MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations. Proc. VLDB Endow. 15(3): 569-582 (2021) - [c8]Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang:
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. SIGMOD Conference 2021: 1262-1274 - 2020
- [c7]Pingchuan Ma
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models. IJCAI 2020: 458-465 - [c6]Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Jianyi Zhang
Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices. INFOCOM Workshops 2020: 997-1002 - [i2]Pingchuan Ma, Shuai Wang:
MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing. CoRR abs/2012.11163 (2020)
2010 – 2019
- 2019
- [c5]Pingchuan Ma
A Quantitative Approach for Medical Imaging Device Security Assessment. DSN (Supplements) 2019: 5-6 - [c4]Pingchuan Ma
Differentially Private Reinforcement Learning. ICICS 2019: 668-683 - [i1]Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Tao Yang:
Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices. CoRR abs/1904.00224 (2019) - 2018
- [c3]Zhiqiang Wang, Pingchuan Ma
Medical Devices are at Risk: Information Security on Diagnostic Imaging System. CCS 2018: 2309-2311 - [c2]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: 174:1-174:5 - [c1]Zhiqiang Wang, Pingchuan Ma
VulAware: Towards Massive-Scale Vulnerability Detection in Cyberspace. MLICOM 2018: 144-149
Coauthor Index
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last updated on 2024-11-21 20:29 CET by the dblp team
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