activity
20222026
most citedDo Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference

2 citations · 5 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CV2026

Logi-PAR: Logic-Infused Patient Activity Recognition via Differentiable Rule

Muhammad Zarar, MingZheng Zhang, Xiaowang Zhang +3

Patient Activity Recognition (PAR) in clinical settings uses activity data to improve safety and quality of care. Although significant progress has been made, current models mainly…

cs.SE2025

Domain-constrained Synthesis of Inconsistent Key Aspects in Textual Vulnerability Descriptions

Linyi Han, Shidong Pan, Zhenchang Xing +5

Textual Vulnerability Descriptions (TVDs) are crucial for security analysts to understand and address software vulnerabilities. However, the key aspect inconsistencies in TVDs from…

cs.SE2025

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review

Sai Zhang, Zhenchang Xing, Jieshan Chen +5

The vision of End-User Software Engineering (EUSE) is to empower non-professional users with full control over the software development lifecycle. It aims to enable users to drive…

cs.SE2024

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension

Fangzhou Xu, Sai Zhang, Zhenchang Xing +3

Code quality evaluation involves scoring generated code quality based on a reference code for a specific problem statement. Currently, there are two main forms of evaluating code q…

cs.SE2024

A test-free semantic mistakes localization framework in Neural Code Translation

Lei Chen, Sai Zhang, Fangzhou Xu +4

In the task of code translation, neural network-based models have been shown to frequently produce semantically erroneous code that deviates from the original logic of the source c…

cs.CL2024

Differentiating Choices via Commonality for Multiple-Choice Question Answering

Wenqing Deng, Zhe Wang, Kewen Wang +3

Multiple-choice question answering (MCQA) becomes particularly challenging when all choices are relevant to the question and are semantically similar. Yet this setting of MCQA can…