activity
20242026
most citedLLM for Mobile: An Initial Roadmap

2 citations · 4 across the 10 of their papers we have counts for

collaborators

12 papers

cs.SE2026

An Empirical Study for Android-to-OpenHarmony GUI Test Migration

Yakun Zhang, Xinjia Chen, Yiyun Chen +6

To reduce the substantial engineering effort required to test the corresponding applications from Android to OpenHarmony, migrating existing GUI test cases has become a critical pr…

cs.SE2026

AtomicCommitBench: Can Coding Agents Reconstruct Commit Histories from Squashed Patches?

Zhihao Lin, Mingyi Zhou, Li Li

Coding agents often finish a session by returning one squashed patch that mixes feature implementation, bug fixes, refactorings, tests, and configuration edits. While the final cod…

cs.SE2026

How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring

Zhihao Lin, Mingyi Zhou, Yizhuo Yang +1

LLM-based code agents navigate repositories through keyword search but miss the structural relationships, such as call graphs, inheritance hierarchies, and configuration dependenci…

cs.SE2026

RepoRescue: An Empirical Study of LLM Agents on Whole-Repository Compatibility Rescue

Zhihao Lin, Mingyi Zhou, Zhensu Sun +4

Open-source libraries and tools are widely reused, but compatibility maintenance is expensive. Once maintainers leave, useful repositories can stop working as runtimes and dependen…

cs.SE2026

To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program Repair

Zhihao Lin, Junhua Zhu, Mingyi Zhou +5

LLM-based agents for program repair are increasingly built on a "generate-run-revise" paradigm, iteratively executing tests to evaluate and refine patches. This execution-based app…

cs.SE2026

Context-Sensitive Pointer Analysis for ArkTS

Yizhuo Yang, Lingyun Xu, Mingyi Zhou +1

Current call graph generation methods for ArkTS, a new programming language for OpenHarmony, exhibit precision limitations when supporting advanced static analysis tasks such as da…

cs.CV2025

Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints

Guanyu Wang, Kailong Wang, Yihao Huang +3

The rapid advancement of diffusion models and personalization techniques has made it possible to recreate individual portraits from just a few publicly available images. While such…

cs.SE2025★ 1 cited

ArkAnalyzer: The Static Analysis Framework for OpenHarmony

Haonan Chen, Daihang Chen, Yizhuo Yang +5

ArkTS is a new programming language dedicated to developing apps for the emerging OpenHarmony mobile operating system. Like other programming languages constantly suffering from pe…

cs.SE2024★ 1 cited

DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators

Mingyi Zhou, Xiang Gao, Xiao Chen +3

Deploying DL models on mobile Apps has become ever-more popular. However, existing studies show attackers can easily reverse-engineer mobile DL models in Apps to steal intellectual…

cs.SE2024★ 2 cited

LLM for Mobile: An Initial Roadmap

Daihang Chen, Yonghui Liu, Mingyi Zhou +7

When mobile meets LLMs, mobile app users deserve to have more intelligent usage experiences. For this to happen, we argue that there is a strong need to appl LLMs for the mobile ec…

cs.SE2024

Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models

Mingyi Zhou, Xiang Gao, Pei Liu +4

Recent studies show that deployed deep learning (DL) models such as those of Tensor Flow Lite (TFLite) can be easily extracted from real-world applications and devices by attackers…

cs.SE2024

Investigating White-Box Attacks for On-Device Models

Mingyi Zhou, Xiang Gao, Jing Wu +3

Numerous mobile apps have leveraged deep learning capabilities. However, on-device models are vulnerable to attacks as they can be easily extracted from their corresponding mobile…