Scholar
Weizhe Lin
Google Scholar ID: 4hMhIecAAAAJ
University of Cambridge
Citations & Impact
Citations
1,925
H-index
13
i10-index
16
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Research Experience
- 2024–2025: Research Scientist at Huawei Advanced Computing and Storage Lab – optimizing AI inference systems and developing inference acceleration algorithms for LLMs
- 2024: Group Lead at X-Intelligence Labs Research – developing ML algorithms for AI long-term contextual memory
- 2023–2024: CTO at To0space, Beijing – leading R&D of cutting-edge AIGC solutions for architectural design
- 2022: Intern Applied Scientist II at Amazon Development Center, Cambridge – developing advanced Table Question Answering models
- 2021: Intern Researcher at Microsoft Software Technology Center, Beijing – developing state-of-the-art recommender systems for movie recommendations and curating datasets
- 2020: Remote Researcher at Computer Laboratory, University of Cambridge – proposed a decentralized deep learning framework using Graph Attention Networks (GATs) for multi-agent path planning, showing strong generalization from simple to highly complex scenarios
- 2019: Researcher at Computer Laboratory, University of Cambridge – developed a novel network-based multi-modal feature fusion framework for psychological disorder prediction and a self-adaptor (fidgeting) detection system for automated psychological distress detection
- 2018: Cloud Engineering Intern at Informetis Europe Ltd. – developed a Python Django-based website to track IoT device usage data from power supply monitors
