Welcome to my homepage!

I am a first-year PhD student at the University of Glasgow, supervised by Dr. Jianglin Lan, focusing on multimodal understanding, 3D vision, and robotics. Before this, I worked as an AI Algorithm Engineer at Huawei from Jun. 2022 to Sep. 2024, specializing in NLP, vector search, and industrial vision. I completed my Master’s at Southeast University in China, under Prof. Changyin Sun and Teng Wang.

🔥 News

• 2025.07:  🎉🎉 Excited to be at Technische Universität München (TUM) as a Visiting PhD Researcher, supported by Royal Society of Edinburgh. Many thanks to Dr. Lan and Dr. Feng for providing this opportunity!
• 2025.07:  🎉🎉 Our work on affordance learning for robotics has been accepted as a full paper at ACM Multimedia (MM) 2025!
• 2025.05:   made a new submission to NeurIPS 2025, focus on motion diffusion with constraints.
• 2025.04:   made a new submission to ACM Multimedia (MM) 2025, focus on leveraging LLM to understanding 3d.
• 2024.10:  🎉🎉 I arrived in Scotland, met my supervisor Dr. Lan, and joined the Artificial Intelligence and Robotics (AIR) Lab!
• 2024.07:  🎉🎉 I am honored to have received a 3.5-year scholarship as an international PhD student, including ~ £30k tuition fee waiver and £20k stipend annually, awarded by the College of Science and Engineering and EPSRC.

📖 Education

• 2024.10 - present, University of Glasgow (UoG), Elec & Elec Engineering, Ph.D student, Glasgow, United Kingdom.
• 2019.09 - 2022.06, Southeast University (SEU), Control Engineering, M.E, Nanjing, China. [GPA: 3.77/4.0]
• 2015.09 - 2019.06, Wuhan University of Technology (WUT), Automation, B.E, Wuhan, China. [GPA: 3.90/4.0, Rank: 5/220]
• 2017.02 - 2019.06, Central China Normal University (CCNU), Chinese Language and literature, B.A, Wuhan, China.

💻 Experience

• 2022.06 - 2024.09, Huawei, AI Engineer (Full-time), Nanjing, China.
• 2021.04 - 2021.07, Arcsoft, Image Algorithm (Intern), Nanjing, China
• 2020.06 - 2020.08, Sinovation Ventures · DeeCamp, 3D Vision Algorithm (Intern), Virtual.
• 2019.03 - 2019.06, Xiaomi, Software Engineer (Intern), Wuhan, China.

📝 Publication

• Lin Wu, Wei Wei, Peizhuo Yu, Jianglin Lan, Open-Vocabulary 3D Affordance Understanding via Functional Text Enhancement and Multilevel Representation Alignment, ACM Multimedia (MM), CCF-A, 2025. [link]

• Teng Wang, Lin Wu(Co-first), Changyin Sun, A Coarse-to-fine Approach for Dynamic-to-static Image Translation, Pattern Recognition (JCR Q1), 2022. [link]

• Lin Wu, Teng Wang, Changyin Sun, Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space, IEEE Signal Processing Letters (JCR Q2), 2021. [link]

• Lin Wu, Refining CNN-based Heatmap Regression with Gradient-based Corner Points for Electrode Localization, arXiv, 2024. [link]

💡 Patent

• Lin Wu, Bisheng Wang, Bin Yu, Zhengping Jia, Regex-based Interactive Named Entity Recognition via Active Learning, Submitted to Chinese Patent, 2024
• Bin Yu, Lin Wu, Zhengping Jia, Efficient Multi-order Tensor Collaborative Search Engine, Submitted to Chinese Patent, 2024
• Bin Yu, Bisheng Wang, Lin Wu, Scene-Adaptive Image Coding Bitrate Control, Chinese Patent, CN119071485A, 2023
• Lin Wu, Zhao Wang, Wireless Signal Based Space Division using Multidimensional Scaling, Chinese Patent, CN110764049B, Grant, 2019

🎖️ Honor and Award

• PhD Scholarship (Full Tuition Waiver + Stipend), CoSE and EPSRC, From 2024.10
• Huawei Scholarship, 2022.06
• Shanghai Zhangjiang Hi-Tech Scholarship, 2022.06
• China Electronics Technology Group Corporation LES Scholarship, 2021.06

• National Encouragement Scholarship, three years in a row, 2016-2018

• Winner, Huawei ICT AI Algorithm Competition (2%), 2024.09
• Winner, Zhuhai Wanshan International Intelligent Vessel Competition (IIVC) (2.5%), 2020.11
• Second prize, National Postgraduate Mathematical Contest in Modeling, two years in a row, 2019-2020
• Meritorious Winner in American International Mathematical Contest in Modeling (6.5%), 2018.02

✨ Teaching

• Real Time Embedded Programming (ENG5220), UoG, 2025 Spring
• Nonlinear System Analysis, SEU, 2022 Spring

💬 Talk

• 2023.10, Transformer and Large Language Model Architecture, Data Storage Research Department, Huawei.

💕 Reference

• Jianglin Lan, Assistant professor at James Watt School of Engineering, University of Glasgow, U.K
• Hazel Doughty, Assistant professor at Leiden Institute for Advanced Computer Science, Leiden University, Netherlands
• Teng Wang, Associate professor at School of Automation, Southeast University, China