Education

Sep 2023 - Present

B.Eng. in Computer Science and Technology

University of Shanghai for Science and Technology · School of Optical-Electrical and Computer Engineering

Research and Internship Experience

Apr 2026 - Present

Research Intern, XSafeClaw Agent Runtime Safety

Fudan Trusted Embodied AI Institute

Agent SafetyRuntime GovernanceOpen Source
  • Worked on XSafeClaw, an open-source safety platform for local and multi-runtime agent systems.
  • 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.
  • The public XSafeClaw repository had 150 GitHub stars when this site plan was prepared.
Jan 2026 - Mar 2026

Research Intern, VulnSeeker

Fudan Software Engineering Lab

CodeQLLLM SecurityProgram Analysis
  • Built an automated code security analysis workflow that combines CodeQL static analysis with LLM-based vulnerability judgement.
  • Designed prompt workflows for CodeQL and LLM interaction, including structured status codes for security decisions.
  • Implemented code context expansion, vulnerability detection after code generation, and combined rule-based plus model-based assessment.
Jan 31, 2026 - May 21, 2026

International Organization Internship, UNDP-administered UNV Online Research Intern

Morobe Development Foundation Inc., Papua New Guinea

UNDPUNVClimate ChangeBlue Carbon
  • 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

AI SafetyMulti-Agent SystemsConstrained RLSecure Code GenerationLLM Code GenerationIoT/CPS SecurityTrustworthy AI
  • 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 - Feb 2026

First-author Research, SFMambaNet

Multimedia Intelligent Computing and Security Lab

Computer VisionCorrespondence PruningMambaState Space ModelsFrequency DomainTwo-View GeometryOutlier Rejection
  • Proposed SFMambaNet, a spectral-frequency enhanced selective state space model for correspondence pruning.
  • Explored frequency-aware global context modeling as an efficient alternative to quadratic-complexity Transformer designs.
  • Completed literature review, core idea design, experiments, and manuscript writing under faculty supervision.

Publications and Manuscripts

SafeCodeRL: A Multi-Agent Reinforcement Learning Framework for Safety-Constrained LLM Code Generation

First author · Published on June 2, 2026 · 2026

SCI Zone 3CCF C
AI SafetyMulti-Agent SystemsConstrained Reinforcement LearningSecure Code GenerationLLMIoT/CPS SecurityTrustworthy AIVulnerability Mitigation
SafeCodeRL framework diagram showing IoT/CPS contexts, a five-agent closed loop, constraint-aware optimization, and training pipeline.
Framework overview

Awards

  • 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

Skills

Research

AI safetyLLM agentsprogram analysiscomputer visionscientific writing

Programming

C/C++PythonJavaTypeScriptAstro

Tools

CodeQLGitLaTeXOverleafPyTorchTensorFlow

Language

English technical readingCET-4 and CET-6 passed

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.