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Yanjie Zhao

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Review Sep 2026

The Promise and Pitfalls of GenAI-Powered Mobile Apps: Perspectives from User Reviews

Generative artificial intelligence (GenAI) is increasingly integrated into mobile apps, creating a rapidly growing category of GenAI-powered apps. Understanding the development trends, challenges, and benefits of these apps is critical for advancing their functionality and improving user experiences. User reviews provi...

Wu-Xia Bai, Yan-Jie Zhao, Kai Chen et al. · 0 citations
Aug 2026

HGFuzzer: Directed Greybox Fuzzing via Large Language Model

Directed Greybox Fuzzing (DGF) aims to efficiently test specific code locations, but its effectiveness is often hampered by its reliance on a syntax-driven strategy. This approach leads to an intractable search space during exploration and inefficient, semantically unaware mutations during exploitation. To address thes...

Hanxiang Xu, Yanjie Zhao, Junqing Yu et al. · 0 citations
Jul 2026

LogicHunter: Testing LLM Agent Frameworks with an Agentic Oracle

Large Language Model (LLM) agent frameworks such as LangChain, LlamaIndex, and CrewAI have become critical infrastructure powering production AI systems, yet they remain severely under-tested due to fundamental challenges in automated testing. Unlike traditional software, where crashes serve as reliable oracles, defect...

Minghui Long, Yan-Jie Zhao, Hao-Yu Wang · 1 citation
Preprint Aug 2026

MalTotal: Cost-Effective and Language-Agnostic Malicious Code Poisoning Detection for Millions of Repositories

MalTotal leverages LLM-assisted semantic reasoning to identify sensitive APIs, perform hybrid semantic slicing, and reconstruct malicious behavior contexts while reducing analysis overhead, demonstrating the effectiveness, scalability, and cost-efficiency of MalTotal in mitigating large-scale code poisoning attacks.

Jian Zhao, Shenao Wang, Qingyang Wu et al. · 1 citation · ⚡1
Jul 2026

JSTestCraft: Addressing Context Deficits in JavaScript Unit Test Generation via Agentic Multi-Level Contextual Analysis

JSTestCraft reconstructs missing context via three enrichment agents: library, structural, and semantic via three enrichment agents, demonstrating that context reconstruction and agentic collaboration enable LLMs to perform more reliable and adaptive testing in dynamic JavaScript environments.

Yi-Yang Liu, Yanjie Zhao, Haoyu Wang · 0 citations
Jul 2026

Neuro-Symbolic Reasoning for Vulnerability Detection

LeanGuard is presented, a neuro-symbolic framework that assigns each act to the side equipped for it, and it is argued that the remedy is not better prompting but a separation of roles: the component that interprets the code must not also be the one that decides a safety obligation is met.

Yanjie Zhao, Hongjie Chen, Li Lu et al. · 0 citations
Review Jul 2026

When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents

IAL-Scan is proposed, a static analysis tool for detecting IAL failures in real-world LLM agent projects, and builds an Agentic Loop Dependence Graph (ALDG) to recover explicit and framework induced feedback paths, and checks whether these paths can repeatedly reach costly or state growing operations without an effecti...

Xinyi Hou, Shenao Wang, Yanjie Zhao et al. · 2 citations
Preprint Jul 2026

AgentFlow: Building Agent Dependency Graphs for Static Analysis of Agent Programs

The evaluation shows that AgentFlow recovers richer agent entities and dependencies than existing AST-based agent static analysis tools, generates more dependency-aware Agent BOMs, and uncovers 238 taint-style prompt-to-tool risks in real-world agent programs.

Shenao Wang, Xinyi Hou, Yanjie Zhao et al. · 0 citations

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