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Pingchuan Ma
conf.researchr.org general profile
ASE 2023 profile
ASE 2025 profile
ASE 2026 profile
ICSE 2022 profile
ICSE 2023 profile
ICSE 2024 profile
ISSTA 2022 profile
ISSTA 2025 profile
SPLASH 2024 profile
SPLASH/ISSTA 2026 profile
Registered user since Sat 23 Apr 2022
Name:
Pingchuan Ma
Affiliation:
Zhejiang University of Technology
Personal website:
https://pingchuan.moe
Contributions
2026
ASE
Author of KQFuzz: Knowledge-Guided Fuzzing for Quantum Libraries via Large Language Models within the Research Papers-track
ISSTA
Author of Function Calling as a Flexible LLM Defense Add-On: Capability and Application Exploration within the Research papers-track
Author of When Optimizations Backfire: The Paradox of Plaintext Optimizations in Privacy-Preserving ML Compilers within the Research papers-track
2025
ASE
Author of Bridging the Gap between Causal Inference and Software Engineering within the Tutorials-track
ISSTA
Author of Causality-Aided Evaluation and Explanation of Large Language Model-based Code Generation within the Research Papers-track
2024
SPLASH
Author of PP-CSA: Practical Privacy-Preserving Software Call Stack Analysis within the OOPSLA 2024-track
ICSE
Author of Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning within the Research Track-track
Author of On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study within the Research Track-track
2023
ASE
Author of Causality-Aided Trade-off Analysis for Machine Learning Fairness within the Research Papers-track
Author of PERFCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis within the Research Papers-track
ICSE
Author of CC: Causality-Aware Coverage Criterion for Deep Neural Networks within the Artifact Evaluation-track
Author of CC: Causality-Aware Coverage Criterion for Deep Neural Networks within the Technical Track-track
2022
ISSTA
Committee Member in Artifact Evaluation Committee within the Artifact Evaluation-track
ICSE
Author of Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings within the Technical Track-track
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Sun 4 Oct 15:19