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20192026
most citedData Sanity Check for Deep Learning Systems via Learnt Assertions

5 citations · 6 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.SE2025

From User Interface to Agent Interface: Efficiency Optimization of UI Representations for LLM Agents

Dezhi Ran, Zhi Gong, Yuzhe Guo +10

While Large Language Model (LLM) agents show great potential for automated UI navigation such as automated UI testing and AI assistants, their efficiency has been largely overlooke…

cs.SE2025

JSProtect: A Scalable Obfuscation Framework for Mini-Games in WeChat

Zhihao Li, Chaozheng Wang, Zongjie Li +12

The WeChat mini-game ecosystem faces rampant intellectual property theft to other platforms via secondary development, yet existing JavaScript obfuscation tools are ill-equipped fo…

cs.SE2025

Beyond Pass or Fail: Multi-Dimensional Benchmarking of Foundation Models for Goal-based Mobile UI Navigation

Dezhi Ran, Mengzhou Wu, Hao Yu +15

Recent advances of foundation models (FMs) have made navigating mobile applications (apps) based on high-level goal instructions within reach, with significant industrial applicati…

cs.SE2024★ 1 cited

Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat

Sidong Feng, Haochuan Lu, Jianqin Jiang +6

UI automation tests play a crucial role in ensuring the quality of mobile applications. Despite the growing popularity of machine learning techniques to generate these tests, they…

cs.SE2023

Towards Efficient Record and Replay: A Case Study in WeChat

Sidong Feng, Haochuan Lu, Ting Xiong +2

WeChat, a widely-used messenger app boasting over 1 billion monthly active users, requires effective app quality assurance for its complex features. Record-and-replay tools are cru…