activity
20202026
most citedObject Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?

143 citations · 371 across the 21 of their papers we have counts for

collaborators
Showing cs.SEShow all

10 papers · 1 filter

cs.SE2025

MARIA: A Framework for Marginal Risk Assessment without Ground Truth in AI Systems

Jieshan Chen, Suyu Ma, Qinghua Lu +2

Before deploying an AI system to replace an existing process, it must be compared with the incumbent to ensure improvement without added risk. Traditional evaluation relies on grou…

cs.SE2025

SHIELDA: Structured Handling of Exceptions in LLM-Driven Agentic Workflows

Jingwen Zhou, Jieshan Chen, Qinghua Lu +2

Large Language Model (LLM) agentic systems are software systems powered by LLMs that autonomously reason, plan, and execute multi-step workflows to achieve human goals, rather than…

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

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps

Jieshan Chen, Zhen Wang, Jiamou Sun +5

Mobile apps are essential in daily life but frequently employ deceptive patterns, such as visual emphasis or linguistic nudging, to manipulate user behavior. Existing research larg…

cs.SE2024★ 2 cited

A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model

Jingwen Zhou, Qinghua Lu, Jieshan Chen +4

The rapid advancement of AI technology has led to widespread applications of agent systems across various domains. However, the need for detailed architecture design poses signific…

cs.SE2023

Let's Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference

Qing Huang, Yanbang Sun, Zhenchang Xing +5

APIs have intricate relations that can be described in text and represented as knowledge graphs to aid software engineering tasks. Existing relation extraction methods have limitat…

cs.SE2023

Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain

Qing Huang, Zhenyu Wan, Zhenchang Xing +4

API recommendation methods have evolved from literal and semantic keyword matching to query expansion and query clarification. The latest query clarification method is knowledge gr…

cs.SE2023★ 1 cited

Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains

Yu Cheng, Jieshan Chen, Qing Huang +3

The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People…

cs.SE2023★ 1 cited

Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps

Shidong Pan, Dawen Zhang, Mark Staples +4

Privacy regulations protect and promote the privacy of individuals by requiring mobile apps to provide a privacy policy that explains what personal information is collected and how…

cs.SE2021★ 89 cited

Wireframe-Based UI Design Search Through Image Autoencoder

Jieshan Chen, Chunyang Chen, Zhenchang Xing +4

UI design is an integral part of software development. For many developers who do not have much UI design experience, exposing them to a large database of real-application UI desig…