activity
20212026
most citedChatUniTest: A Framework for LLM-Based Test Generation

25 citations · 26 across the 10 of their papers we have counts for

collaborators

11 papers

cs.SE2026

WideSWE: Can Coding Agents Coordinate Changes Across Repositories?

Baoyi Wang, Xingliang Wang, Jinyang Wu +3

Coding-agent evaluation has progressed from resolving individual issues to carrying out long-horizon development, yet task completion is still largely assessed within a single code…

physics.soc-ph2026

Service Ecosystem Evolution: A Comprehensive Survey from Complex Network Perspectives

Shuiguang Deng, Xingliang Wang, Guochang Li +5

Digital society increasingly relies on complex service ecosystems, formed by interconnected services from technology giants. However, the growing scale and intricate dependencies o…

cs.CV2026

SOV-CAD: Stepwise Orthographic Views Guided CAD Modeling Sequence Reconstruction

Zhaopeng Feng, Chen Zhi, Xuhong Zhang +2

Reconstructing Computer-Aided Design (CAD) modeling sequences from images is crucial for preserving design intent and supporting parametric editing. However, existing methods typic…

cs.LG2026

Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding

Yingxuan Zhuang, Jingxiao Yang, Miao Pan +7

MLLMs frequently hallucinate objects inconsistent with visual inputs. This issue is typically attributed to the over-reliance on language priors, which can override the visual cont…

cs.SE2026

Can Vision-Language Models Handle Long-Context Code? An Empirical Study on Visual Compression

Jianping Zhong, Guochang Li, Chen Zhi +6

Large Language Models (LLMs) struggle with long-context code due to window limitations. Existing textual code compression methods mitigate this via selective filtering but often di…

cs.SE2026

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion

Baoyi Wang, Xingliang Wang, Guochang Li +6

Repository-level code completion remains challenging for large language models (LLMs) due to cross-file dependencies and limited context windows. Prior work addresses this challeng…

cs.SE2025

Completion by Comprehension: Guiding Code Generation with Multi-Granularity Understanding

Xinkui Zhao, Rongkai Liu, Yifan Zhang +6

As code completion task from function-level to repository-level, leveraging contextual information from large-scale codebases becomes a core challenge. However, existing retrieval-…

cs.SE2025

Revisiting Vulnerability Patch Localization: An Empirical Study and LLM-Based Solution

Haoran Xu, Chen Zhi, Junxiao Han +3

Open-source software vulnerability patch detection is a critical component for maintaining software security and ensuring software supply chain integrity. Traditional manual detect…

cs.SE2025

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion

Xingliang Wang, Baoyi Wang, Chen Zhi +4

LLMs excel in localized code completion but struggle with repository-level tasks due to limited context windows and complex semantic and structural dependencies across codebases. W…

cs.SE2023★ 25 cited

ChatUniTest: A Framework for LLM-Based Test Generation

Yinghao Chen, Zehao Hu, Chen Zhi +3

Unit testing is an essential yet frequently arduous task. Various automated unit test generation tools have been introduced to mitigate this challenge. Notably, methods based on la…

cs.SE2021★ 1 cited

An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent

Junxiao Han, Shuiguang Deng, David Lo +3

Open source software has drawn more and more attention from researchers, developers and companies nowadays. Meanwhile, many Chinese technology companies are embracing open source a…