Zishuo Ding

According to our database, Zishuo Ding authored at least 31 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A multi-language perspective on the robustness of LLM code generation.

Fazle Rabbi, Zishuo Ding, Jinqiu Yang

Empir. Softw. Eng., September, 2026

Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs.

He Yang Yuan, Xin Wang, Kundi Yao, An Ran Chen, Zishuo Ding, Zhenhao Li

CoRR, April, 2026

Logging Like Humans for LLMs: Rethinking Logging via Execution and Runtime Feedback.

Xin Wang, Yang Feng, Jiaoxiao Qian, Yang Zhang, Zhenhao Li, Zishuo Ding

CoRR, March, 2026

Enhancing Log Sentiments: An Exploratory Study of Sentiments and Emotions with Software Logs.

Xiaohui Wang, Youshuai Tan, Zishuo Ding, Jinfu Chen, Jifeng Xuan, Weiyi Shang

ACM Trans. Softw. Eng. Methodol., January, 2026

2025

LLM4Perf: Large Language Models Are Effective Samplers for Multi-Objective Performance Modeling.

Xin Wang, Zhenhao Li, Zishuo Ding

CoRR, December, 2025

A Mathematics-Guided Approach to Floating-Point Error Detection.

Youshuai Tan, Zhanwei Zhang, Zishuo Ding, Lianyu Zheng, Jinfu Chen, Weiyi Shang

CoRR, October, 2025

OFP-Repair: Repairing Floating-point Errors via Original-Precision Arithmetic.

Youshuai Tan, Zishuo Ding, Jinfu Chen, Weiyi Shang

CoRR, October, 2025

From Feedback to Failure: Automated Android Performance Issue Reproduction.

Zhengquan Li, Zhenhao Li, Zishuo Ding

CoRR, August, 2025

Computing Floating-Point Errors by Injecting Perturbations.

Youshuai Tan, Zhanwei Zhang, Jinfu Chen, Zishuo Ding, Jifeng Xuan, Weiyi Shang

CoRR, July, 2025

Towards effectively testing machine translation systems from white-box perspectives.

Hanying Shao, Zishuo Ding, Weiyi Shang, Jinqiu Yang, Nikolaos Tsantalis

Empir. Softw. Eng., February, 2025

Improving Qa System Testing Efficiency Through White-Box Test Prioritization.

Hanying Shao, Zishuo Ding, Kundi Yao, Haonan Zhang, Weiyi Shang

Proceedings of the 25th International Conference on Software Quality, 2025

Who's to Blame? Rethinking the Brittleness of Automated Web GUI Testing from a Pragmatic Perspective.

Haonan Zhang, Kundi Yao, Zishuo Ding, Lizhi Liao, Weiyi Shang

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning.

Xin Wang, Zhenhao Li, Zishuo Ding

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

ConfSum: Towards Automatic Summarization of Network-scale Operational Intents from Device Configurations.

Rundi Zhai, Jianmin Liu, Yukai Miao, Li Chen, Dan Li, Baojiang Cui, Peng Zhang, Ennan Zhai, Zishuo Ding

Proceedings of the 2nd Workshop on Formal Methods Aided Network Operation, 2025

2024

Temporal knowledge graph reasoning based on evolutional representation and contrastive learning.

Qiuying Ma, Xuan Zhang, Zishuo Ding, Chen Gao, Weiyi Shang, Qiong Nong, Yubin Ma, Zhi Jin

Appl. Intell., November, 2024

<i>LoGenText-Plus</i>: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates.

Zishuo Ding, Yiming Tang, Xiaoyu Cheng, Heng Li, Weiyi Shang

ACM Trans. Softw. Eng. Methodol., February, 2024

Beyond Natural Language Processing: Advancing Software Engineering Tasks through Code Structure.

Zishuo Ding

PhD thesis, 2024

Few-shot relational triple extraction with hierarchical prototype optimization.

Chen Gao, Xuan Zhang, Zhi Jin, Weiyi Shang, Yubing Ma, Linyu Li, Zishuo Ding, Yuqin Liang

Pattern Recognit., 2024

DELA: A Novel Approach for Detecting Errors Induced by Large Atomic Condition Numbers.

Youshuai Tan, Zhanwei Zhang, Jinfu Chen, Zishuo Ding, Jifeng Xuan, Weiyi Shang

CoRR, 2024

Automatic String Data Validation with Pattern Discovery.

Xinwei Lin, Jing Zhao, Peng Di, Chuan Xiao, Rui Mao, Yan Ji, Makoto Onizuka, Zishuo Ding, Weiyi Shang, Jianbin Qin

CoRR, 2024

GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation.

Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro

Proceedings of the Search-Based Software Engineering - 16th International Symposium, 2024

Towards a Robust Waiting Strategy for Web GUI Testing for an Industrial Software System.

Haonan Zhang, Lizhi Liao, Zishuo Ding, Weiyi Shang, Nidhi Narula, Catalin Sporea, Andrei Toma, Sarah Sajedi

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023

Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks.

Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun (Peter) Chen

ACM Trans. Softw. Eng. Methodol., April, 2023

StableYolo: Optimizing Image Generation for Large Language Models.

Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David A. Kelly, Héctor D. Menéndez, Rebecca Moussa, Federica Sarro

Proceedings of the Search-Based Software Engineering - 15th International Symposium, 2023

IoPV: On Inconsistent Option Performance Variations.

Jinfu Chen, Zishuo Ding, Yiming Tang, Mohammed Sayagh, Heng Li, Bram Adams, Weiyi Shang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing.

Yuanjie Xia, Zishuo Ding, Weiyi Shang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

On the Temporal Relations between Logging and Code.

Zishuo Ding, Yiming Tang, Yang Li, Heng Li, Weiyi Shang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Towards Utilizing Natural Language Processing Techniques to Assist in Software Engineering Tasks.

Zishuo Ding

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022

Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks.

Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun Peter Chen

Empir. Softw. Eng., 2022

LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation.

Zishuo Ding, Heng Li, Weiyi Shang

Proceedings of the IEEE International Conference on Software Analysis, 2022

2020

Towards the use of the readily available tests from the release pipeline as performance tests: are we there yet?

Zishuo Ding, Jinfu Chen, Weiyi Shang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020