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Li Wang
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About Me
I'm currently a Research Fellow (Postdoctoral) at Zhejiang University. I lead high-impact research initiatives, securing significant competitive funding (totaling 12.8M+ Yuan) for projects, and I also contribute to design an Industry-aligned AI course (including mathematics and programming language) for masters. I possess demonstrated independent research capability, evidenced by designing and building machine learning frameworks from the ground up, spearheading projects from conception to completion, and authoring key proposals and manuscripts. My work emphasizes strong collaboration with prestigious institutions, including the University of Oxford and Tsinghua University. Furthermore, I have experience mentoring postgraduates within project teams and possess extensive TA experience (Discrete Mathematics, Computer Graphics for 300+ students). With 9+ years of experience as a Machine Learning Engineer (including 3+ years commercially), I excel in Multimodal Alignment, Generative AI (Stable Diffusion, Diffusion Models), Foundation Models (Deepseek-V2, QWen-VL, CLIP, SAM), and core algorithms (Transformers, ControlNet, YOLO, CNN), leveraging GPU Cloud infrastructure for large-scale model training.Education & Academic Background
| 2017.04 - 2017.10: | Visiting Scholar, Tsinghua University, China. |
| 2016.09 - 2020.11: | PhD in Computer Vision, Bournemouth University, UK. |
| 2013.09 - 2016.06: | MSC in Computer Graphics, Jilin University, China. |
| 2009.09 - 2013.06: | BSC in Computer Science, Jilin University, China. |
Job Experience
| 2023.10 - present: | Research Fellow (Postdoctoral), Zhejiang University, China. |
| 2020.11 - 2023.09: | Machine Learning Tech Leader (Full Stack), Startup, China. |
| 2017.02 - 2018.02: | Part-time Computer Vision Engineer, RNLI, UK. |
| 2013.01 - 2013.05: | R&D Engineer, IBM (China) Ltd. |
Skills
| Programming Language: | Python, C++, Objective-C, Matlab |
| Developing Platform: | PC, IOS, Android |
| Deep Learning Framework: | PyTorch, Tensorflow |
| DevOps: | Git, Docker, CI/CD, AWS |
| Computer Vision: | OpenCV |
| GPU Programming: | CUDA, Metal |
| TA experience in main courses (300+ students): | Discrete Mathematics and Computer Graphics |
Honors and Awards
| 2024: | China Innovation and Entrepreneurship Competition, Zhejiang Province, China (Top 1%). |
| 2016: | China Scholarship Council, Ministry of Education China. |
| 2015: | National Postgraduate Scholarship, Ministry of Education China (Top 1%). |
| 2015: | Huawei Scholarship, Jilin University (Top 1%). |
| 2010-2012: | Three-times National Encouragement Scholarship, Ministry of Education China (Top 5%). |
| 2010-2012: | Three-times Excellent Students Leader, Jilin University. |
Projects
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Title: Image-Music Alignment with Contrastive Learning Author: Xudong He, Li Wang*, Zhao Wang, Jun Xiao Date: Jan 28, 2025 |
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Title: European 2020 iGame (Gamified eHealth and mHealth) Author: Professor Anot Cuesta-Vargas, Professor Wen Tang, Li Wang Date: Nov 02, 2019 |
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Title: Fast Photographic Style Transfer Author: Li Wang Date: November 10, 2018 |
Publications
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Li Wang*, Boyan Gao, Yanran Li, Zhao Wang, Xiaosong Yang, David A. Clifton, Jun Xiao Exploring the Latent Space of Diffusion Models directly Through Singular Value Decomposition submitted to IEEE Transactions on Image Processing, 2025. |
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Xudong He, Li Wang*, Zhao Wang, Jun Xiao. Hybrid-Granularity Image-Music Retrieval Using Contrastive Learning between Images and Music 
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Computer Animation and Social Agents, 2025 |
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Zhongguang Zhang, Tingwei Wu, Qifei Zhang, Li Wang, Zhao Wang STA-TAD: Spatial-Temporal Adapter on ViT for Temporal Action Detection
Computer Animation and Social Agents, 2025 |
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Li Wang*, Xiaosong Yang, Jianjun Zhang Fast Coherent Video Style Transfer via Flow Errors Reduction
Applied Sciences, 2024. |
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Jaime Martín-Martín*, Li Wang*, Irene De-Torres, Adrian Escriche-Escuder, Manuel González-Sánchez, Antonio Muro-Culebras, Cristina Roldán-Jiménez, María Ruiz-Muñoz, Fermín Mayoral-Cleries, Attila Biró, Wen Tang, Borjanka Nikolova, Alfredo Salvatore, Antonio I Cuesta-Vargas The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors
Sensors, 2022. |
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Li Wang, M Wang, Tao Jiang, Nan Xiang, M Wei, X Yang, Taku Komura, J Zhang Bas-relief modelling from enriched detail and geometry with deep normal transfer
Neurocomputing, 2020. |
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Nan Xiang, Ruibin Wang, Tao Jiang Li Wang, Yanran Li, Xiaosong Yang, Jianjun Zhang Sketch-based modeling with a differentiable renderer 
Computer Animation and Virtual Worlds, 2020. |
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Yanran Li, Lingteng Qiu, Li Wang, Fangde Liu, Zhao Wang, Sebastian Iulian Poiana, Xiaosong Yang, Jianjun Zhang Densely Connected GCN Model for Motion Prediction
Computer Animation and Virtual Worlds, 2020. |
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Nan Xiang, Li Wang, Tao Jiang, Yanran Li, Xiaosong Yang, Jianjun Zhang Single-image Mesh Reconstruction and Pose Estimation via Generative Normal Map
Computer Animation and Social Agents, 2019. |
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Li Wang, Zhao Wang, Xiaosong Yang, Shi-Min Hu, Jianjun Zhang Photographic Style Transfer
The Visual Computer, 2018. |
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Li Wang, Nan Xiang, Xiaosong Yang, Jianjun Zhang Fast photographic style transfer based on convolutional neural networks
Computer Graphics International 2018. |
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Li Wang, Xiangjiu Che, Ning Wang, Jie Li, Ming-Hui Zhu Regulatory network analysis of microRNAs and genes in neuroblastoma
Asian Pacific Journal of Cancer Prevention 2014. |
Last Update: Mar. 2025