CV

Education

Hong Kong University of Science and Technology (Guangzhou), AI Thrust
MPhil in Artificial Intelligence, 2025-09 - Present
GPA: 4.00

• Working with Prof. Qin Chengwei on large language models, agent memory, and multi-agent systems.
• Relevant coursework: Advanced Machine Learning, Reinforcement Learning, Natural Language Processing, and Distributed Systems.

Hong Kong Baptist University
BSc(Hons) in Data Science, 2021-09 - 2025-06
GPA: 3.59; First Prize Scholarship

Publications and Under Review

• BizCompass: Benchmarking the Reasoning Capabilities of LLMs in Business Knowledge and Applications (accepted by ACL).
• Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems (ACL ARR 2026 March submission).
• TiARA: Time-Accumulated Rank Adaptation for Constant-Cost Fine-Tuning (ICML 2026 conference submission).
• AMA: Adaptive Memory via Multi-Agent Collaboration (accepted by ACL).
• Co-Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces (under review at JAAMAS).
• Unnoticeable Graph Injection Attack on Graph Neural Networks (accepted by IJCNN).

Research and Work Experience

Research Assistant, Guangdong Province Key Laboratory of Interdisciplinary Research and Application for Data Science, Zhuhai, China, 2024-06 - 2024-09

• Developed a model architecture supporting incremental learning based on the Learning to Edit long-term memory mechanism.
• Assisted in building LLM agents for medical scenarios, integrating text, image, and structured medical-record data.
• Used LangChain to design workflows for medical agents and combined Spark for distributed preprocessing and privacy-protection work.

Data Analyst Manager, Vivo Mobile Communication Co., Ltd., Shenzhen, China, 2023-06 - 2023-09

• Completed 20+ analyses, generated 40+ insights and recommendations, and supported 10+ initiatives that cumulatively drove an increase of 110,000 daily active users.
• Built dashboards accessed more than 800 times by colleagues.
• Participated in the framework training of the company's data-assistant LLM model and developed a Python-based demo.
• Helped improve single-table SQL generation accuracy from around 45% to 62-67%.

Selected Research Projects

Research on the Stealthiness of Injection Attacks in Graph Neural Networks, supervised by Dr. Donglong Chen, 2024-06 - 2024-09

• Proposed UNGIA, a stealthy graph injection attack method using clustering techniques to identify representative nodes.
• Conducted experiments on Cora, Citeseer, and Cora-ML.

Chaos-Based GNN for Aspect-Based Sentiment Analysis, collaborative project, 2023-11 - 2024-09

• Explored models for polysemy, semantic correlation, and emotion complexity in social-media sentiment analysis.

CNO-former: Chaotic Neural Oscillation Self-Attention Model, research project, 2023-09 - 2024-09

• Formulated a Transformer-style model based on chaotic neural oscillation and self-attention.
• Awarded an Excellent Award in the 2nd Computer Science Related Poster Exhibition.

Advanced Multi-Agent Systems Development, Guangdong Provincial Special Scientific Research Program, 2023-05 - 2025-02

• Worked on a multi-agent teaching community system based on reinforcement learning.
• Developed a multi-agent tour-guide assistance system for personalized tourism services.

Competitions and Honors

• Bronze Medal, Kaggle LLM Prompt Recovery Competition, 2024.

• Meritorious Winner, Mathematical Contest in Modeling, 2023.
• Honorable Mention, Mathematical Contest in Modeling, 2022.

• First Prize Scholarship, Hong Kong Baptist University.

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