Collaboration Opportunities
Join forces to advance LLM research and brain-inspired AI
I'm actively seeking collaborations to advance research in large language models and explore new applications. Whether you're from academia, industry, or an open-source project, I welcome the opportunity to discuss potential joint efforts in brain-inspired memory architectures, multi-agent systems, recursive self-improvement, RAG frameworks, reasoning capabilities, and domain-specific LLMs. Currently a PhD student at The Hong Kong Polytechnic University (PolyU), in a joint doctoral programme with GDIIST, and open to remote collaboration and internships worldwide.
Academic Research
Interested in collaborating with research labs and academic institutions working on LLMs, multi-agent systems, RAG, or reasoning capabilities. Particularly focused on projects evaluating long-term memory and cross-agent knowledge sharing.
Collaboration Formats:
- Joint research papers
- Benchmark development
- Cross-institutional projects
Industry Applications
Seeking industry partners interested in applying my research to practical challenges. Experience at Zhipu AI and GDIIST, ongoing doctoral research at PolyU, and involvement with technology startups provide a bridge between research and practical implementation.
Application Areas:
- Healthcare knowledge systems
- Educational technology
- Business intelligence tools
Open Source Projects
Interested in contributing to open-source projects in the LLM space. Previous experience with community initiatives through Hugging Face Chinese Community and AITIME provides a foundation for collaborative open-source work.
Contribution Areas:
- LLM agents and frameworks
- RAG implementation tools
- Reasoning benchmarks
Specific Projects
Open to partnering on specific projects that implement LLM technologies in real-world settings. Can contribute expertise in agent evaluation, RAG implementation, and ambiguous reasoning tasks.
Project Types:
- Proof-of-concept implementations
- Specialized agent development
- Domain-specific RAG systems
Collaboration Process
Here's how we can work together effectively:
- 1
Initial Discussion
Brief meeting to explore mutual interests and potential alignment of research goals.
- 2
Scope Definition
Clear outline of collaboration goals, timelines, and expected contributions from each party.
- 3
Regular Checkpoints
Scheduled meetings to share progress, address challenges, and refine direction as needed.
- 4
Documentation & Sharing
Commitment to documenting work and sharing results through appropriate channels (papers, code, etc.).
Let's Connect
Ready to explore a potential collaboration? Reach out to discuss how we might work together.