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 2023Show all

8 papers · 1 filter

cs.HC2023★ 4 cited

Designing with Language: Wireframing UI Design Intent with Generative Large Language Models

Sidong Feng, Mingyue Yuan, Jieshan Chen +2

Wireframing is a critical step in the UI design process. Mid-fidelity wireframes offer more impactful and engaging visuals compared to low-fidelity versions. However, their creatio…

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.HC2023★ 1 cited

Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications

Jieshan Chen, Jiamou Sun, Sidong Feng +4

Mobile apps bring us many conveniences, such as online shopping and communication, but some use malicious designs called dark patterns to trick users into doing things that are not…

cs.HC2023★ 1 cited

Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps

Jason Ching Yuen Siu, Jieshan Chen, Yujin Huang +2

With the emergence of deep learning techniques, smartphone apps are now embedded on-device AI features for enabling advanced tasks like speech translation, to attract users and inc…

cs.HC2023★ 2 cited

Enhancing Virtual Assistant Intelligence: Precise Area Targeting for Instance-level User Intents beyond Metadata

Mengyu Chen, Zhenchang Xing, Jieshan Chen +2

Virtual assistants have been widely used by mobile phone users in recent years. Although their capabilities of processing user intents have been developed rapidly, virtual assistan…

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…