About me
Hi, I’m Wenjia Jiang, currently a Research Engineer at Singapore Management University, advised by David Lo. I received my Bachelor’s degree in software engineering from the School of Software, Henan University of China.
My current research interests lie in large language models (LLMs), multimodal learning, and artificial intelligence. I am particularly interested in developing LLM-based agents.
News
- 🎉 [2026 Fall] I will join the University of Alberta to pursue my Ph.D. under the supervision of Prof. Zhouyang.
Selected Research Projects
AppAgentX: Evolving GUI Agents as Proficient Smartphone Users
A novel evolutionary framework for GUI agents that enhances operational efficiency through action evolution.
Learning to Be A Doctor: Searching for Effective Medical Agent Architectures
Accepted by ACM MM 2025
An innovative approach to searching AI agent architectures capable of medical reasoning and diagnosis in medical scenarios.
SQLAgent: Learning to Explore Before Generating as a Data Engineer
A novel two-stage LLM-based framework that decouples knowledge acquisition from query generation to handle complex, multi-step SQL reasoning in realistic databases.
Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentations
An LLM-driven multi-agent system that converts research papers into pedagogically structured, multimodal slides with an interactive editor for personalized learning.
Skills
Language: English (IELTS 6.5)
LLM Applications: Skilled in developing applications with LangChain and Camel AI, prompt engineering, integrating OpenAI API, and building Retrieval-Augmented Generation (RAG) systems.
Data & Storage: Experienced with vector databases, graph databases, and data formats such as JSON and HDF5 for efficient data management and retrieval.
Deep Learning: Proficient in PyTorch, Transformer architectures, and Computer Vision tasks; hands-on experience with model training, fine-tuning, and deployment.
Tools & DevOps: Proficient with Git, Docker, FastAPI, Jupyter, and Hugging Face ecosystem for collaborative development, deployment, and experimentation.
Professional Software: LaTeX, SPSS.