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Fengze 'Liam' Li 李丰泽 I'm a Ph.D Candidate at University of Liverpool, advised by Dr. Jieming Ma, Dr. Zhongbei Tian (University of Birmingham) and Dr. Hai-Ning Liang (HKUST, GZ). My general research focuses on industrial intelligence, computer vision, and machine learning. In detail, I explore the application and optimization of 3D vision and LLMs across various domains, including renewable energy, photovoltaics (PV), medical imaging and surgical robotics. Before starting Ph.D, I had the honor to work with Dr. Jize Yan and Dr. Jie Zhang (University of Bath) at University of Southampton. I've also interned at DJI, Deloitte, and worked as a research assistant at JITRI with Dr. Ji Ge (University of Toronto). Currently, I am interning at Baidu's LLMs group. Email / Google Scholar / LinkedIn / |
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Publications |
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Temporal environment informed photovoltaic performance prediction framework with multi-spatial attention LSTM Douhong, Fengze Li, Jieming Ma*, Ka Lok Man, Huiqing Wen, Prudence Wong Solar Energy, 2025 |
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3D-PV: Enhancing PV Power Prediction by Modeling Spatial Uncertainty Under Dynamic Shading Conditions Fengze Li, Dou Hong, Jieming Ma*, Zhongbei Tian, Hai-Ning Liang Expert Systems With Applications (SCI Q1 TOP), 2025, Under Revision |
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EAST: Environment-Aware Stylized Transition Along the Reality-Virtuality Continuum Xiaoan Zhang, Kan Liu, Yangle Liu, Fengze Li, Jieming Ma, Yue Li* ACM Transactions on Multimedia Computing, Communications, and Applications, 2025, Under Review |
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Real-Time Dynamic Scene Representation for Endoscopic Images with 4D Gaussian Splatting Fengze Li, Jishuai He, Jieming Ma*, Hai-Ning Liang, Zhijing Wu IEEE International Symposium on Biomedical Imaging, Houston, USA, 2025, Poster/Live Demo Session |
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A Comprehensive Survey of Specularity Detection: State-of-the-Art Techniques and Breakthroughs Fengze Li, Jieming Ma*, Zhijing Wu, Zhongbei Tian, Hai-Ning Liang Artificial Intelligence Review (SCI Q1 TOP), 2025 |
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BD-RDE: Bridging Domains for Robust Depth Estimation in Underwater Environments with a Color-balance Domain Jiawei Guo, Jieming Ma, Ángel F. García-Fernández, Fengze Li, Xiaohui Zhu Human-centric Computing and Information Sciences, 2024 |
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HI-Net: A Novel Histopathologic Image Segmentation Model for Metastatic Breast Cancer via Lightweight Dataset Construction Fengze Li, Tianxi Wen, Jieming Ma*, Zhongbei Tian, Hai-Ning Liang Heliyon, 2024 |
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Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model Fengze Li, Jieming Ma*, Zhongbei Tian, Ji Ge, Hai-Ning Liang, Tianxi Wen ICFSP 2022, Paris, France |
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Novel Approaches of Abdominal Computed Tomography Image Super Resolution based on Deep Residual Learning Chen Xie, Fengze Li* VSIP 2022, New York, United States |
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Solar energy intelligence surface of water floater clearance ship Patents for inventions, CN113665754B, 2021 |
Education |
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University of Liverpool Ph.D. student in Computer Science Research Areas: 3D Computer Vision, Machine Learning 2021 - 2025 |
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University of Southampton M.Sc. in Computer Science 2019 - 2020 |
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Shenzhen University B.Eng. in Computer Science 2015 - 2019 |
Industry |
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Baidu LLMs Algorithm Development--Baidu AI Cloud May. 2025 - Present |
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JITRI - Jiangsu Industrial Technology Research Institute Research Scientist Intern May. 2021 - Jan. 2022 |
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DJI Software Engineer Intern Jan. 2018 - Mar. 2018 |
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Deloitte Software Engineer Intern Dec. 2017 - Jan. 2018 |
Miscellanea |
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Teaching assistant INT309 Multimedia Information Retrieval and Technology INT406 Data Mining and Machine Learning 2021 - present |
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Template: Jon Barron's public academic website. |