I am a Ph.D student at AIM Group in EE department, The Chinese University of Hong Kong, supervised by Prof. Yixuan Yuan. I focus on Deep learning, Computer vision, and Medical image analysis.
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U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation Chenxin Li*, Xinyu Liu*, Wuyang Li*, Cheng Wang*, Hengyu Liu, Yifan Liu, Zhen Chen, Yixuan Yuan AAAI Conference on Artificial Intelligence (AAAI), 2025 [paper][code] |
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CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection Wuyang Li, Xinyu Liu, Jiayi Ma, Yixuan Yuan. European Conference on Computer Vision (ECCV), 2024 [Oral] [paper][code] |
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GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation Chenxin Li, Xinyu Liu*, Cheng Wang*, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan European Conference on Computer Vision (ECCV), 2024 [paper][code] |
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MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation Xinyu Liu*, Zhen Chen*, Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [Early Accept, 11%] [paper][code] |
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DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation Xinyu Liu, Wuyang Li, Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [paper][code] |
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From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos Wuyang Li, Xinyu Liu, Qiushi Yang, Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [paper][code] |
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Endora: Video Generation Models as Endoscopy Simulators Chenxin Li*, Hengyu Liu*, Yifan Liu*, Brandon Y. Feng, Wuyang Li, Xinyu Liu, Zhen Chen, Jing Shao, Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [paper][code] |
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EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu, Yixuan Yuan. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [paper][arxiv][code][timm] |
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Intervention & Interaction Federated Abnormality Detection with Noisy Clients Xinyu Liu, Wuyang Li, Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022 [Early Accept, Oral 2.3%] [paper][code] |
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Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization Qiushi Yang, Xinyu Liu, Zhen Chen, Bulat Ibragimov, Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022 [paper][code] |
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Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu, Wuyang Li, Qiushi Yang, Baopu Li, Yixuan Yuan. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [paper][code] |
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SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection Wuyang Li, Xinyu Liu, Yixuan Yuan. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [Oral, Best paper final list 33/8161] [paper][code] |
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SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan. The AAAI Conference on Artificial Intelligence (AAAI), 2022 [Oral] [paper][code] |
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Exploring Gradient Flow Based Saliency for DNN Model Compression Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan. ACM Multimedia 2021 (ACM MM), 2021 [paper][code] |
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FM-APP: Foundation Model for Any Phenotype Prediction via fMRI to sMRI Knowledge Transfer Zhibin He, Wuyang Li, Yifan Liu, Xinyu Liu, Junwei Han, Tuo Zhang, Yixuan Yuan. IEEE Transactions on Medical Imaging (TMI), 2024 [paper][code] |
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Generalized Gradient Flow Based Saliency for Pruning Deep Convolutional Neural Networks Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan. International Journal of Computer Vision (IJCV), 2023 [paper][code] |
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Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang. Information Fusion, 2023 [paper] |
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Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection Xinyu Liu, Wuyang Li, Yixuan Yuan. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 [paper][code] |
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SIGMA++: Improved Semantic-complete Graph Matching for Domain Adaptive Object Detection Wuyang Li, Xinyu Liu, Yixuan Yuan. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 [paper][code] |
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A Source-free Domain Adaptive Polyp Detection Framework with Style Diversification Flow Xinyu Liu, Yixuan Yuan. IEEE Transactions on Medical Imaging (TMI), 2022 [paper][code] |
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SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection Wuyang Li, Xinyu Liu, Yixuan Yuan. IEEE Transactions on Multimedia (TMM), 2022 [paper][code] |
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Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images Xinyu Liu, Xiaoqing Guo, Yajie Liu, Yixuan Yuan. Medical Image Analysis (MedIA), 2021 [paper][code][video] |
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TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks Xinyu Liu, Xiaoguang Di. IET Computer Vision (IET-CVI), 2021 [paper] |
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ETH Zürich
Visiting PhD, Jul. 2024 - Oct. 2024 |
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Microsoft Research Asia
Research Intern, May. 2022 - Sept. 2022 |
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Deepwise
Research Intern, May. 2019 - Jul. 2019 |