Jieshan Chen

According to our database, Jieshan Chen authored at least 36 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Jingwen Zhou, Jieshan Chen, Qinghua Lu, Dehai Zhao, Liming Zhu

CoRR, August, 2025

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review.

Sai Zhang, Zhenchang Xing, Jieshan Chen, Dehai Zhao, Zizhong Zhu, Xiaowang Zhang, Zhiyong Feng, Xiaohong Li

CoRR, July, 2025

A Case Study of Scalable Content Annotation Using Multi-LLM Consensus and Human Review.

Mingyue Yuan, Jieshan Chen, Zhenchang Xing, Aaron Quigley

CoRR, March, 2025

FactFlow: Automatic Fact Sheet Generation and Customization from Tabular Dataset via AI Chain Design & Implementation.

Minh Duc Vu, Jieshan Chen, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Qian Fu

CoRR, February, 2025

50 Shades of Deceptive Patterns: A Unified Taxonomy, Multimodal Detection, and Security Implications.

Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue, Yansong Gao, Feng Liu, Xingliang Yuan

Proceedings of the ACM on Web Conference 2025, 2025

IllusionCAPTCHA: A CAPTCHA based on Visual Illusion.

Ziqi Ding, Gelei Deng, Yi Liu, Junchen Ding, Jieshan Chen, Yulei Sui, Yuekang Li

Proceedings of the ACM on Web Conference 2025, 2025

DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models.

Mingyue Yuan, Jieshan Chen, Zhenchang Xing, Aaron Quigley, Yuyu Luo, Tianqi Luo, Gelareh Mohammadi, Qinghua Lu, Liming Zhu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

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

Qing Huang, Yanbang Sun, Zhenchang Xing, Yuanlong Cao, Jieshan Chen, Xiwei Xu, Huan Jin, Jiaxing Lu

ACM Trans. Softw. Eng. Methodol., November, 2024

Revealing the Unseen: AI Chain on LLMs for Predicting Implicit Dataflows to Generate Dataflow Graphs in Dynamically Typed Code.

Qing Huang, Zhiwen Luo, Zhenchang Xing, Jinshan Zeng, Jieshan Chen, Xiwei Xu, Yong Chen

ACM Trans. Softw. Eng. Methodol., September, 2024

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

Yu Cheng, Jieshan Chen, Qing Huang, Zhenchang Xing, Xiwei Xu, Qinghua Lu

ACM Trans. Softw. Eng. Methodol., June, 2024

The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns.

Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue

Dataset, March, 2024

Towards Human-AI Synergy in UI Design: Enhancing Multi-Agent Based UI Generation with Intent Clarification and Alignment.

Mingyue Yuan, Jieshan Chen, Yongquan Hu, Sidong Feng, Mulong Xie, Gelareh Mohammadi, Zhenchang Xing, Aaron Quigley

CoRR, 2024

From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps.

Jieshan Chen, Zhen Wang, Jiamou Sun, Wenbo Zou, Zhenchang Xing, Qinghua Lu, Qing Huang, Xiwei Xu

CoRR, 2024

DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models.

Mingyue Yuan, Jieshan Chen, Zhenchang Xing, Aaron Quigley, Yuyu Luo, Gelareh Mohammadi, Qinghua Lu, Liming Zhu

CoRR, 2024

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

Jingwen Zhou, Qinghua Lu, Jieshan Chen, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer

CoRR, 2024

MAxPrototyper: A Multi-Agent Generation System for Interactive User Interface Prototyping.

Mingyue Yuan, Jieshan Chen, Aaron Quigley

CoRR, 2024

GPTVoiceTasker: LLM-Powered Virtual Assistant for Smartphone.

Minh Duc Vu, Han Wang, Zhuang Li, Jieshan Chen, Shengdong Zhao, Zhenchang Xing, Chunyang Chen

CoRR, 2024

The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns.

Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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, Zhenchang Xing, Jieshan Chen, Xiwei Xu, Thong Hoang

Proceedings of the 33rd USENIX Security Symposium, 2024

GPTVoiceTasker: Advancing Multi-step Mobile Task Efficiency Through Dynamic Interface Exploration and Learning.

Minh Duc Vu, Han Wang, Jieshan Chen, Zhuang Li, Shengdong Zhao, Zhenchang Xing, Chunyang Chen

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Towards Immersive AI.

Mingze Xi, Madhawa Perera, Brandon J. Matthews, Rui Wang, Viveka Weiley, Rukshani Somarathna, Hira Maqbool, Jieshan Chen, Ulrich Engelke, Stuart Anderson, Matt Adcock, Bruce H. Thomas

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2024

Where is it? Tracing the Vulnerability-relevant Files from Vulnerability Reports.

Jiamou Sun, Jieshan Chen, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis.

Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Minhui Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

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

Sidong Feng, Mingyue Yuan, Jieshan Chen, Zhenchang Xing, Chunyang Chen

CoRR, 2023

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

Jason Ching Yuen Siu, Jieshan Chen, Yujin Huang, Zhenchang Xing, Chunyang Chen

CoRR, 2023

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

Mengyu Chen, Zhenchang Xing, Jieshan Chen, Chunyang Chen, Qinghua Lu

CoRR, 2023

A Large-scale Empirical Study of Online Automated Privacy Policy Generators for Mobile Apps.

Shidong Pan, Dawen Zhang, Mark Staples, Zhenchang Xing, Jieshan Chen, Xiwei Xu, James Hoang

CoRR, 2023

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

Jieshan Chen, Jiamou Sun, Sidong Feng, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Chunyang Chen

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

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

Qing Huang, Zhenyu Wan, Zhenchang Xing, Changjing Wang, Jieshan Chen, Xiwei Xu, Qinghua Lu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

Extracting Replayable Interactions from Videos of Mobile App Usage.

Jieshan Chen, Amanda Swearngin, Jason Wu, Titus Barik, Jeffrey Nichols, Xiaoyi Zhang

CoRR, 2022

Towards Complete Icon Labeling in Mobile Applications.

Jieshan Chen, Amanda Swearngin, Jason Wu, Titus Barik, Jeffrey Nichols, Xiaoyi Zhang

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2020

Wireframe-based UI Design Search through Image Autoencoder.

Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, Jinshui Wang

ACM Trans. Softw. Eng. Methodol., 2020

UIED: a hybrid tool for GUI element detection.

Mulong Xie, Sidong Feng, Zhenchang Xing, Jieshan Chen, Chunyang Chen

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Object detection for graphical user interface: old fashioned or deep learning or a combination?

Jieshan Chen, Mulong Xie, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, Guoqiang Li

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Unblind your apps: predicting natural-language labels for mobile GUI components by deep learning.

Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2017

Ensemble application of convolutional and recurrent neural networks for multi-label text categorization.

Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017