9 citations · 24 across the 22 of their papers we have counts for
23 papers
T2LSC-Bench: Benchmarking Localized Semantic Control in Text-to-Image Generation
Yan Wang, Xinyi Hou, Weiguo Lin +2
Recent text-to-image models have become increasingly capable of rendering explicit text, but reliable localized text control requires more than generating the correct string. In ap…
When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents
Xinyi Hou, Shenao Wang, Yanjie Zhao +1
LLM agents increasingly rely on iterative execution to solve tasks through planning, tool use, state updates, and agent collaboration. While this design enables flexible automation…
AgentFlow: Building Agent Dependency Graphs for Static Analysis of Agent Programs
Shenao Wang, Xinyi Hou, Yanjie Zhao +2
LLM agents are increasingly developed as source-code applications built on agent frameworks. These agent programs combine conventional host-language code with framework-defined sem…
Unsafe by Flow: Uncovering Bidirectional Data-Flow Risks in MCP Ecosystem
Xinyi Hou, Yanjie Zhao, Haoyu Wang
Model Context Protocol (MCP) have quickly become the interface layer between LLM agents and external tools, yet they also introduce unsafe data flows that existing analyzers handle…
Demystifying and Detecting Agentic Workflow Injection Vulnerabilities in GitHub Actions
Shenao Wang, Xinyi Hou, Zhao Liu +5
GitHub Actions is increasingly used to deploy LLM-based agents for repository-centric tasks such as issue triage, pull-request review, code modification, and release assistance. Th…
CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation
Zirui Wan, Zhaonan Wu, Xinyi Hou +3
High-quality commit messages are critical for maintaining software projects, yet ensuring their consistency and informativeness remains a practical challenge. While the Conventiona…
SMCP: Secure Model Context Protocol
Xinyi Hou, Shenao Wang, Yifan Zhang +4
Agentic AI systems built around large language models (LLMs) are moving away from closed, single-model frameworks and toward open ecosystems that connect a variety of agents, exter…
LaQual: An Automated Framework for LLM App Quality Evaluation
Yan Wang, Xinyi Hou, Junjun Si +3
Representing a new paradigm in software distribution, LLM app stores are rapidly emerging, offering users diverse choices for content generation, coding assistance, education, and…
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead
Hongzhou Rao, Yanjie Zhao, Xinyi Hou +2
The rapid advancement of large language models (LLMs) has redefined artificial intelligence (AI), pushing the boundaries of AI research and enabling unbounded possibilities for bot…
Toward Understanding Bugs in Vector Database Management Systems
Yinglin Xie, Xinyi Hou, Yanjie Zhao +3
Vector database management systems (VDBMSs) play a crucial role in facilitating semantic similarity searches over high-dimensional embeddings from diverse data sources. While VDBMS…
Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
Xinyi Hou, Jiahao Han, Yanjie Zhao +1
Large language models (LLMs) are increasingly deployed through open-source and commercial frameworks, enabling individuals and organizations to self-host advanced LLM capabilities.…
Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
Xinyi Hou, Yanjie Zhao, Shenao Wang +1
The Model Context Protocol (MCP) is an emerging open standard that defines a unified, bi-directional communication and dynamic discovery protocol between AI models and external too…
LLM Applications: Current Paradigms and the Next Frontier
Xinyi Hou, Yanjie Zhao, Haoyu Wang
The development of large language models (LLMs) has given rise to four major application paradigms: LLM app stores, LLM agents, self-hosted LLM services, and LLM-powered devices. E…
Towards Reliable Vector Database Management Systems: A Software Testing Roadmap for 2030
Shenao Wang, Yanjie Zhao, Yinglin Xie +4
The rapid growth of Large Language Models (LLMs) and AI-driven applications has propelled Vector Database Management Systems (VDBMSs) into the spotlight as a critical infrastructur…
LLM App Squatting and Cloning
Yinglin Xie, Xinyi Hou, Yanjie Zhao +2
Impersonation tactics, such as app squatting and app cloning, have posed longstanding challenges in mobile app stores, where malicious actors exploit the names and reputations of p…
Bridging Design and Development with Automated Declarative UI Code Generation
Ting Zhou, Yanjie Zhao, Xinyi Hou +3
Declarative UI frameworks have gained widespread adoption in mobile app development, offering benefits such as improved code readability and easier maintenance. Despite these advan…
Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
Jian Zhao, Shenao Wang, Yanjie Zhao +6
The proliferation of pre-trained models (PTMs) and datasets has led to the emergence of centralized model hubs like Hugging Face, which facilitate collaborative development and reu…
Voices from the Frontier: A Comprehensive Analysis of the OpenAI Developer Forum
Xinyi Hou, Yanjie Zhao, Haoyu Wang
OpenAI's advanced large language models (LLMs) have revolutionized natural language processing and enabled developers to create innovative applications. As adoption grows, understa…
On the (In)Security of LLM App Stores
Xinyi Hou, Yanjie Zhao, Haoyu Wang
LLM app stores have seen rapid growth, leading to the proliferation of numerous custom LLM apps. However, this expansion raises security concerns. In this study, we propose a three…
GPTZoo: A Large-scale Dataset of GPTs for the Research Community
Xinyi Hou, Yanjie Zhao, Shenao Wang +1
The rapid advancements in Large Language Models (LLMs) have revolutionized natural language processing, with GPTs, customized versions of ChatGPT available on the GPT Store, emergi…
GPT Store Mining and Analysis
Dongxun Su, Yanjie Zhao, Xinyi Hou +2
As a pivotal extension of the renowned ChatGPT, the GPT Store serves as a dynamic marketplace for various Generative Pre-trained Transformer (GPT) models, shaping the frontier of c…
LLM App Store Analysis: A Vision and Roadmap
Yanjie Zhao, Xinyi Hou, Shenao Wang +1
The rapid growth and popularity of large language model (LLM) app stores have created new opportunities and challenges for researchers, developers, users, and app store managers. A…
Large Language Model Supply Chain: A Research Agenda
Shenao Wang, Yanjie Zhao, Xinyi Hou +1
The rapid advancement of large language models (LLMs) has revolutionized artificial intelligence, introducing unprecedented capabilities in natural language processing and multimod…