Xinyu Liu 刘新宇

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. Before that, I received my M.Sc. degree with the Department of Control Science and Engineering, Harbin Institute of Technology and B.Sc. Degree at Honors School, Harbin Institute of Technology, where I was supervised by Prof. Xiaoguang Di.

Email / Google Scholar / Github

News

I will graduate in 2025 and am actively seeking opportunities. Please feel free to reach out to me.

I am open for research collaborations. Please contact me if you are interested in my previous works.

08/2024, PV-Mamba is accepted by BIBM 2024, Congrats to Cheng!

07/2024, I join the BMIC Group at ETH Zürich as a visiting PhD, supervised by Prof. Ender Konukoglu.

07/2024, GTP-4o and CLIFF are accepted by ECCV 2024, Congrats to Chenxin and Wuyang!

05/2024, Four papers are accepted by MICCAI 2024, including medical video generation works Endora and VidMotion and semi-supervised learning works MOST and DiffRect.

04/2024, Instruction-ViT is accepted by Information Fusion. (IF. 18.6).

07/2023, GFBS is accepted by International Journal of Computer Vision. (IF. 13.369).

05/2023, Decoupled-Unbiased-Teacher is accepted by IEEE Transactions on Neural Networks and Learning Systems. (IF. 14.255).

03/2023, EfficientViT is accepted by CVPR 2023.

06/2022, FedInI and TEAR are accepted by MICCAI 2022 (One Oral).

03/2022, SIGMA and NLTE are accepted by CVPR 2022 (One Oral).

02/2022, SMPT++ is accepted by IEEE Transactions on Medical Imaging. (IF. 10.048).

12/2021, SCAN is accepted by AAAI 2022 (Oral).

07/2020, I graduate from the Department of Control Science and Engineering of HIT and receive M.Sc. degree, with an outstanding dissertation defense award..

06/2018, I graduate from the Honors School of HIT and receive B.Sc. degree.

Selected Publications (Full List at Google Scholar)

Conference Papers:

	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), 2024 [paper][code]
	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), 2024 [paper][code]
	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), 2024 [paper][code]
	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), 2024 [paper][code]
	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), 2023 [paper][arxiv][code][timm]
	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 Oral), 2022 [paper][code]
	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), 2022 [paper][code]
	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), 2022 [paper][arxiv][code]
	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), 2022 [paper][code]
	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), 2022 [paper][code]
	Exploring Gradient Flow Based Saliency for DNN Model Compression Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan. ACM Multimedia 2021 (ACM MM 2021), 2021 [paper][code]

Journal Papers:

	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]
	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]
	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]
	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]
	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]
	SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection Wuyang Li, Xinyu Liu, Yixuan Yuan. IEEE Transactions on Multimedia (TMM), 2022 [paper][code]
	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]
	TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks Xinyu Liu, Xiaoguang Di. IET Computer Vision (IET-CVI), 2021 [paper]

Awards

2022, Student Travel Award, MICCAI 2022.

2021, Research Tuition Scholarship (RTS), CityU.

2021, Outstanding Academic Performance Award (OAPA), CityU.

2021, Second Prize in Short Video Contest for Students in MICS 2021.

2021, 1st Place for Polyp Detection in EndoCV 2021

2020, Outstanding Dissertation Defense Award, HIT.

Experience

	ETH Zürich Visiting PhD, Jul. 2024 - Oct. 2024 Advisor: Ender Konukoglu.
	Microsoft Research Asia Research Intern, May. 2022 - Sept. 2022 Advisor: Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu.
	Deepwise Research Intern, May. 2019 - Jul. 2019 Advisor: Fandong Zhang, Yizhou Yu.

Services

Conference Reviewer:

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) (2022-2024)

IEEE/CVF International Conference on Computer Vision (ICCV) (2023)

European Conference on Computer Vision (ECCV) (2022, 2024)

International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) (2021-2024)

International Conference on 3D Vision (3DV) (2022)

Asian Conference on Computer Vision (ACCV) (2024)

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022)

Journal Reviewer:

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

IEEE Transactions on Image Processing (TIP)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

IEEE Transactions on Knowledge and Data Engineering (TKDE)

IEEE Transactions on Medical Imaging (TMI)

IEEE Transactions on Artificial Intelligence (TAI)

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

IEEE Transactions on Geoscience and Remote Sensing (TGRS)

IEEE Transactions on Automation Science and Engineering (TASE)

ACM Computing Surveys

Neurocomputing

IEEE Computational Intelligence Magazine

Cogent Engineering

IET Computer Vision

Program Committee:

MICCAI Workshop on Embodied AI and Robotics for HealTHcare (EARTH) (2024)

MICCAI Workshop on Domain Adaptation and Representation Transfer (DART) (2022-2023)

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