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I am a third year Master student at South China University of Technology, advised by Prof. Lianwen Jin. I received my Bachelor degree also from South China University of Technology in 2021, where I spent a wonderful four years. My research interests encompass a variety of exciting areas, including Computer Vision (CV), Multi-Models and Generative models. I'm deeply committed to contributing to open source projects, as I firmly believe that constitute a cornerstone for the sustainable growth of the AI commuunity. |
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Weifeng Lin, Ziheng Wu, Jiayu Chen, Wentao Yang, Mingxin Huang, Jun Huang, Lianwen Jin, arxiv, 2023 [paper] [Code] Parameter-efficient transfer learning for vision Transformers in various vision tasks (classification, detection, segmentation) |
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Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin, International Conference on Computer Vision (ICCV), 2023 [paper] [Code] Hybrid CNN-Transformer Network (Vision Transformer Backbone) |
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Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zipeng Zhang, Kui Jia, Lianwen Jin, Cen Chen Jun Huang Annual Meeting of the Association for Computational Linguistics (ACL-Industry), 2023 [paper] Rapid Diffusion is a novel framework for training and deploying superresolution, text-to-image latent diffusion models with rich entity knowledge injected and optimized networks. |
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Weifeng Lin, Canyu Xie, Dezhi Peng, Jiapeng Wang, Lianwen Jin, Wei Ding, Lianwen Jin, Cong Yao Mengchao He British Machine Vision Conference (BMVC), 2023 [paper] [Detection] [Recognition] [Demo] We propose a mobile text recognizer that integrates Truncated Singular Value Decomposition (TSVD)-based Knowledge Distillation (KD) into the Neural Architecture Search (NAS) process |
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Research Intern, Machine Learning - Deep Learning Algorithms. |
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