Research Intern, ScamWeb Multimodal Fraud Benchmark

Institute of Trustworthy Embodied Artificial Intelligence (TEAI), Fudan University & The Third Research Institute of the Ministry of Public Security

• Conducted joint research at the Institute of Trustworthy Embodied Artificial Intelligence (TEAI), Fudan University and The Third Research Institute of the Ministry of Public Security.
• Worked under the guidance of Advisor Xingjun Ma and collaborated with postdoctoral researcher Dr. Nan Li on the full research lifecycle.
• Co-developed ScamWeb, a multimodal and multilingual benchmark containing more than 10,000 curated webpages across 25 cyber-enabled fraud subtypes, including 3,416 expert-annotated fraudulent webpages with evidence regions and human-written rationales.
• Contributed to data collection and cleaning, fraud taxonomy and expert annotation protocol design, the ScamDet multimodal pipeline and prompts, evaluation metrics, full-scale experiments, manuscript writing, result analysis, and project implementation.
• The completed work, ScamWeb: A Multimodal Benchmark for Grounded Understanding of Cyber-enabled Fraud Webpages, has been submitted to AAAI 2027.

Research Intern, XSafeClaw Agent Runtime Safety

Institute of Trustworthy Embodied Artificial Intelligence (TEAI), Fudan University

• Worked on XSafeClaw, an open-source safety platform for local and multi-runtime agent systems, at TEAI, Fudan University.
• Worked under the guidance of Advisor Xingjun Ma, a Young Researcher and doctoral supervisor at Fudan University.
• Implemented runtime integration for nanobot-style local agent sessions, including session discovery, controlled tool calls, and unified platform display.
• Contributed to risk control workflows, validation, and documentation for explainable agent governance.

Research Intern, VulnSeeker

Fudan Software Engineering (CodeWisdom) Lab

• Conducted research at the Fudan Software Engineering (CodeWisdom) Lab, focusing on automated security analysis for generated and repository code.
• Worked under the guidance of Lecturer Yi Li and collaborated with Qicai Chen, a Ph.D. student, on literature review, workflow design, and experimental validation.
• Built a CodeQL-assisted vulnerability analysis workflow that combines static analysis, code context expansion, and LLM-based security judgement.
• Designed prompt workflows for CodeQL and LLM interaction, including structured status codes for vulnerability triage and post-generation security inspection.

International Organization Internship, UNDP-administered UNV Online Research Intern

Morobe Development Foundation Inc., Papua New Guinea

• Completed an International Organization Internship through the UNDP-administered United Nations Volunteers (UNV) platform, supporting research on mangrove responses to climate change scenarios and blue carbon mitigation.
• The United Nations Volunteers (UNV) programme is administered by the United Nations Development Programme (UNDP).
• Synthesized literature on sea-level rise, coastal squeeze, nutrient loading, carbon sequestration, and national climate policy.
• Produced a review manuscript titled Research Support in Analysing Mangrove Responses to Climate Change: The Interplay of Anthropogenic Impacts and Blue Carbon Mitigation.

First-author Research, SafeCodeRL

Independent research collaboration

• Proposed SafeCodeRL, a multi-agent framework for dynamic safety constraints in LLM code generation.
• Designed a closed-loop collaboration workflow across five agents and a PPO-style constraint-aware policy.
• Reported a large reduction in high-risk vulnerable code generation while preserving functional correctness in the manuscript.

Research Intern, SFMambaNet

Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University

• Worked as a research intern at Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, from September 2025 to March 2026.
• Worked closely with Advisor Yizhang Liu, a university-appointed Associate Research Fellow and graduate supervisor, on robust two-view correspondence pruning.
• This work led to our manuscript SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning, currently under review at IEEE Transactions on Image Processing (TIP) and available as an arXiv preprint.

ACMer, ACM Programming Training Team

University of Shanghai for Science and Technology

• Completed systematic training in algorithms, data structures, and contest problem solving.
• Earned a National First Prize in the 2025 RAICOM Robot Developer Competition, a Silver Award at the 2025 CCPC Shanghai Collegiate Programming Contest, and a National Second Prize in the 2025 LanQiao Cup C/C++ competition.

The Third Research Institute of the Ministry of Public Security - Cybersecurity Center (Shanghai), Research Engineer (Online)

International Organization (United Nations Volunteers) - UNDP, Research Intern (Online)

Meituan, Odd Jobs