Experience

Research collaborations, engineering experience, and education.

Research Experience

The Hong Kong University of Science and Technology

Feb 2026 – May 2026
Remote Research Intern, Academy of Interdisciplinary Studies · Advisors: Prof. Huamin Qu, Yuzhe Shi
  • Co-first-author work on agent skill regulation as procedural knowledge representation, modeling execution commitments, gate conditions, and recovery actions in human-written skills.

King Abdullah University of Science and Technology (KAUST)

Jan 2026 – Present
Remote Research Collaboration · Collaborators: Prof. Di Wang, Shu Yang
  • Led the STARS project: formulated request-conditioned invocation safety, constructed SIA-Bench, designed the risk-auditing framework, and wrote the paper; ongoing collaboration on agent applications and runtime safety.

HKUST (Guangzhou)

Dec 2025 – Jun 2026 (expected)
Exchange Student · Advisor: Prof. Lei Chen · Agent memory and database systems
  • Surveyed MemOS, MIRIX, AgentFold, Recursive Language Models, and ReasoningBank to identify bottlenecks in long-context memory retrieval, state updates, and long-horizon dependency modeling.
  • Built SFT data with BrowserAgent, converting multi-turn trajectories from turn-level to task-level supervision; studied trade-offs among memory write policies, state compression, and retrieval latency.

DeepWisdom (MetaGPT)

Oct 2025 – Nov 2025
Algorithm Evaluation Engineer Intern
  • Contributed to multi-agent code-generation benchmarks and MGX product evaluation, designing process-level evaluation workflows and using failure-case analysis to identify reliability bottlenecks in production agents.

Tsinghua University, HCI Lab

Dec 2024 – Aug 2025
Remote Research Assistant · Advisors: Prof. Chun Yu, Prof. Yuanchun Shi
  • Contributed to SynergyAdvisor, modeling expert–avatar co-evolution as a human–AI alignment problem with memory-aware decision making and expert-feedback-enhanced chain-of-thought optimization.
  • Worked on long-context, cross-topic agentic RAG: built a benchmark and retrieval-enhancement pipeline to analyze information-recall failures and context drift in complex dialogue.

Education

Shenzhen University

Sep 2022 – Jun 2026
B.Eng., Elite Innovation Program in Electronic Information Engineering
  • Honors: Academician Scholarship; Star of Culture and Sports Award.
  • Core coursework: machine learning, artificial intelligence, computer networks, data structures, mathematical analysis, advanced algebra, stochastic processes.