Started AAAI 2027-oriented research on multimodal phishing website detection, supporting literature review, novelty analysis, experiment design, model fine-tuning, and experimental validation.
Research Focus
I am researching
I build research prototypes around AI safety, LLM agents, software security analysis, and reliable multimodal systems.
Profile
About Me
I am a junior undergraduate majoring in Computer Science and Technology at the University of Shanghai for Science and Technology. My current work centers on safety-aware LLM systems, runtime governance for agents, CodeQL-assisted security analysis, and efficient neural models for visual correspondence pruning.
I keep this public homepage focused on research, projects, open-source activity, and reproducible artifacts.
Contact and Representative Links
Open to academic discussion and collaboration
Please feel free to reach out by email for academic discussion, research collaboration, open-source projects, or learning exchange.
Email 2657751462@qq.com GitHub https://github.com/Kirito14IT Google Scholar Academic publications and citations XSafeClaw https://github.com/XSafeAI/XSafeClaw
Academic Profile: Google Scholar
Google Scholar Profile Representative Open-Source Work: XSafeClaw https://github.com/XSafeAI/XSafeClaw Representative Research: SafeCodeRL https://kirito14it.github.io/projects/safecoderl/ Representative Research: SFMambaNet https://kirito14it.github.io/projects/sfmambanet/ Recent updates
News
Joined Dr. Xingjun Ma's team at TEAI, Fudan University on an enterprise-oriented multi-agent secure collaboration project, contributing to requirements analysis, system design, implementation, and testing.
Completed an International Organization Internship through the UNDP-administered UNV platform on mangrove responses to climate change and produced a review manuscript on blue carbon mitigation.
Joined the XSafeClaw agent safety project at TEAI, Fudan University and worked on runtime integration, controlled tool calls, and safety audit workflows.
Started SafeCodeRL, a multi-agent reinforcement learning framework for safety-constrained LLM code generation.
Worked on VulnSeeker at the Fudan Software Engineering (CodeWisdom) Lab, combining CodeQL static analysis with LLM-based security judgement.
Started SFMambaNet research on spectral-frequency enhanced state space models for correspondence pruning.
Timeline
Selected Research and Experience
Apr 2026 - Present
Research Intern, XSafeClaw Agent Runtime Safety
Institute of Trustworthy Embodied AI (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 Dr. 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.
Jan 2026 - Mar 2026
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.
Jan 31, 2026 - May 21, 2026
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.
Feb 2026 - Present
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.
Sep 2025 - Mar 2026
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 Dr. 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, submitted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and posted on arXiv in June 2026.
Research output
Selected Publications and Manuscripts
SafeCodeRL: A Multi-Agent Reinforcement Learning Framework for Safety-Constrained LLM Code Generation
First author · Published on June 2, 2026 · 2026
SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning
First author · arXiv preprint and under review · 2026
Research Support in Analysing Mangrove Responses to Climate Change: The Interplay of Anthropogenic Impacts and Blue Carbon Mitigation
Author · review manuscript · 2026
Live Open Source Signal
GitHub Commit Activity
Last 12 months
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Builds and artifacts
Featured Projects
2026 Featured
International Organization Internship: UNDP-administered UNV Mangrove Research
A UNDP-administered UNV research internship output on sea-level rise, nutrient loading, coastal squeeze, and blue carbon mitigation.
2026 Featured
XSafeClaw: Agent Runtime Safety Governance
An open-source agent safety platform for runtime session discovery, controlled tool calls, human approval, and risk auditing.
2026 Featured
SafeCodeRL: Safety-Constrained LLM Code Generation
A multi-agent reinforcement learning framework for dynamic security constraints in LLM code generation.
2026 Featured
VulnSeeker: CodeQL and LLM Security Analysis
An automated security analysis pipeline developed at the Fudan Software Engineering (CodeWisdom) Lab, combining CodeQL static analysis and LLM-based vulnerability judgement.
Knowledge progress
Learning Map
AI Safety and LLM Agents
88%Focused on agent runtime governance, safety-constrained code generation, tool-call auditing, and human-in-the-loop risk control.
Software Security and Program Analysis
84%Built workflows around CodeQL, LLM-assisted vulnerability judgement, code context expansion, and post-generation security inspection.
Deep Learning and Multimodal Intelligence
82%Studied neural architectures for visual correspondence, spectral-frequency modeling, state space models, and robust image watermarking.
Algorithms and Systems Programming
86%Maintains strong C/C++ foundations through algorithmic problem solving, contest-style implementation, and performance-conscious coding.
Scientific Writing and Research Methodology
80%Practices literature synthesis, experiment design, manuscript organization, and cross-domain research communication.
Web Engineering and Research Prototyping
78%Uses TypeScript, Python, Git, LaTeX, and static-site tooling to turn research ideas into reproducible public artifacts.
Signals
Awards and Skills
Selected Honors
- National First Prize, RAICOM Robot Developer Competition, 2025
- National Second Prize, LanQiao Cup C/C++ Programming Contest, 2025
- Silver Award, CCPC Shanghai Collegiate Programming Contest, 2025
- National Third Prize, National English Competition for College Students, 2025
- Shanghai First Prize, National College Student Mathematics Competition, 2024
- First-author software copyright for a robust deep-learning watermark mobile application