Zishuo Ding - RankMe

30 papers A* 6A 1B 2C 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Log Sentiments: An Exploratory Study of Sentiments and Emotions with Software Logs. ACM Trans. Softw. Eng. Methodol. Xiaohui Wang, Youshuai Tan, Zishuo Ding, Jinfu Chen, Jifeng Xuan, Weiyi Shang
2026	J	`jnl`	Logging Like Humans for LLMs: Rethinking Logging via Execution and Runtime Feedback. CoRR Xin Wang, Yang Feng, Jiaoxiao Qian, Yang Zhang, Zhenhao Li, Zishuo Ding
2025	J	`jnl`	A Mathematics-Guided Approach to Floating-Point Error Detection. CoRR Youshuai Tan, Zhanwei Zhang, Zishuo Ding, Lianyu Zheng, Jinfu Chen, Weiyi Shang
2025	J	`jnl`	Computing Floating-Point Errors by Injecting Perturbations. CoRR Youshuai Tan, Zhanwei Zhang, Jinfu Chen, Zishuo Ding, Jifeng Xuan, Weiyi Shang
2025	—	`conf`	ConfSum: Towards Automatic Summarization of Network-scale Operational Intents from Device Configurations. FMANO@SIGCOMM Rundi Zhai, Jianmin Liu, Yukai Miao, Li Chen, Dan Li, Baojiang Cui, Peng Zhang, Ennan Zhai, Zishuo Ding
2025	A*	`conf`	Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning. ASE Xin Wang, Zhenhao Li, Zishuo Ding
2025	J	`jnl`	Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning. CoRR Xin Wang, Zhenhao Li, Zishuo Ding
2025	J	`jnl`	From Feedback to Failure: Automated Android Performance Issue Reproduction. CoRR Zhengquan Li, Zhenhao Li, Zishuo Ding
2025	C	`conf`	Improving Qa System Testing Efficiency Through White-Box Test Prioritization. QRS Hanying Shao, Zishuo Ding, Kundi Yao, Haonan Zhang, Weiyi Shang
2025	J	`jnl`	LLM4Perf: Large Language Models Are Effective Samplers for Multi-Objective Performance Modeling. CoRR Xin Wang, Zhenhao Li, Zishuo Ding
2025	J	`jnl`	OFP-Repair: Repairing Floating-point Errors via Original-Precision Arithmetic. CoRR Youshuai Tan, Zishuo Ding, Jinfu Chen, Weiyi Shang
2025	J	`jnl`	Towards effectively testing machine translation systems from white-box perspectives. Empir. Softw. Eng. Hanying Shao, Zishuo Ding, Weiyi Shang, Jinqiu Yang, Nikolaos Tsantalis
2025	A*	`conf`	Who's to Blame? Rethinking the Brittleness of Automated Web GUI Testing from a Pragmatic Perspective. ASE Haonan Zhang, Kundi Yao, Zishuo Ding, Lizhi Liao, Weiyi Shang
2024	J	`jnl`	Automatic String Data Validation with Pattern Discovery. CoRR Xinwei Lin, Jing Zhao, Peng Di, Chuan Xiao, Rui Mao, Yan Ji, Makoto Onizuka, Zishuo Ding, Weiyi Shang, Jianbin Qin
2024	—	`—`	Beyond Natural Language Processing: Advancing Software Engineering Tasks through Code Structure. Zishuo Ding
2024	J	`jnl`	DELA: A Novel Approach for Detecting Errors Induced by Large Atomic Condition Numbers. CoRR Youshuai Tan, Zhanwei Zhang, Jinfu Chen, Zishuo Ding, Jifeng Xuan, Weiyi Shang
2024	J	`jnl`	Few-shot relational triple extraction with hierarchical prototype optimization. Pattern Recognit. Chen Gao, Xuan Zhang, Zhi Jin, Weiyi Shang, Yubing Ma, Linyu Li, Zishuo Ding, Yuqin Liang
2024	B	`conf`	GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. SSBSE Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro
2024	J	`jnl`	GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation. CoRR Jingzhi Gong, Sisi Li, Giordano d'Aloisio, Zishuo Ding, Yulong Ye, William B. Langdon, Federica Sarro
2024	J	`jnl`	Temporal knowledge graph reasoning based on evolutional representation and contrastive learning. Appl. Intell. Qiuying Ma, Xuan Zhang, Zishuo Ding, Chen Gao, Weiyi Shang, Qiong Nong, Yubin Ma, Zhi Jin
2024	A*	`conf`	Towards a Robust Waiting Strategy for Web GUI Testing for an Industrial Software System. ASE Haonan Zhang, Lizhi Liao, Zishuo Ding, Weiyi Shang, Nidhi Narula, Catalin Sporea, Andrei Toma, Sarah Sajedi
2023	A*	`conf`	CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing. ASE Yuanjie Xia, Zishuo Ding, Weiyi Shang
2023	—	`conf`	IoPV: On Inconsistent Option Performance Variations. ESEC/SIGSOFT FSE Jinfu Chen, Zishuo Ding, Yiming Tang, Mohammed Sayagh, Heng Li, Bram Adams, Weiyi Shang
2023	A*	`conf`	On the Temporal Relations between Logging and Code. ICSE Zishuo Ding, Yiming Tang, Yang Li, Heng Li, Weiyi Shang
2023	B	`conf`	StableYolo: Optimizing Image Generation for Large Language Models. SSBSE Harel Berger, Aidan Dakhama, Zishuo Ding, Karine Even-Mendoza, David A. Kelly, Héctor D. Menéndez, Rebecca Moussa, Federica Sarro
2023	J	`jnl`	Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks. ACM Trans. Softw. Eng. Methodol. Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun (Peter) Chen
2023	—	`conf`	Towards Utilizing Natural Language Processing Techniques to Assist in Software Engineering Tasks. ICSE Companion Zishuo Ding
2022	J	`jnl`	Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks. Empir. Softw. Eng. Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun Peter Chen
2022	A	`conf`	LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation. SANER Zishuo Ding, Heng Li, Weiyi Shang
2020	A*	`conf`	Towards the use of the readily available tests from the release pipeline as performance tests: are we there yet? ICSE Zishuo Ding, Jinfu Chen, Weiyi Shang