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Zhong Li
conf.researchr.org general profile
ASE 2024 profile
ASE 2026 profile
FSE 2025 profile
FSE 2026 profile
ICFP/SPLASH 2025 profile
ICSE 2025 profile
ICSE 2026 profile
Internetware 2024 profile
SPLASH/ISSTA 2026 profile
Registered user since Fri 15 Aug 2025
Name:
Zhong Li
Country:
China
Affiliation:
Nanjing University
Personal website:
https://zzlexp.github.io/
Contributions
2026
ASE
Author of S2CAgent: A Self-Learning Agent Knowledge Graph Framework for Software Supply Chain Analysis within the Research Papers-track
Author of MultiKernelBench: A Multi-platform Benchmark for Kernel Generation within the Research Papers-track
ISSTA
Author of Automated Classification, Root Cause Analysis, and Repair Recommendations for Failed Mobile Testing by Specialized LLM within the Research papers-track
ESEC/FSE
Author of Spectrum-based Failure Attribution for Multi-Agent Systems within the Research Papers-track
ICSE
Author of Learning without Forgetting: Towards Continual learning of Fault Localization Models in Industrial Software Systems within the Research Track-track
Author of Filtering before Tuning: Robust Fine-Tuning of Large Code Models under Noisy Labels within the Research Track-track
2025
SPLASH
Author of PReMM: LLM-Based Program Repair for Multi-Method Bugs via Divide and Conquer within the OOPSLA-track
ESEC/FSE
Author of Improving Graph Learning-Based Fault Localization with Tailored Semi-Supervised Learning within the Research Papers-track
ICSE
Author of Enhancing Fault Localization in Industrial Software Systems via Contrastive Learning within the Research Track-track
Author of GVI: Guided Vulnerability Imagination for Boosting Deep Vulnerability Detectors within the Research Track-track
2024
ASE
Author of AACEGEN: Attention Guided Adversarial Code Example Generation for Deep Code Models within the Research Papers-track
Author of Prioritizing Test Inputs for DNNs Using Training Dynamics within the Research Papers-track
Internetware
Author of Repairing Obsolete GUI Test Scripts for Android Applications with Exploration and Backtracking within the Research Track-track
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