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 Dr. 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

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

05/2023, One paper accepted by IEEE Transactions on Neural Networks and Learning Systems. (IF. 14.255).

03/2023, One paper accepted by CVPR 2023.

06/2022, Two papers accepted by MICCAI 2022 (One Oral).

05/2022, I am honored to be invited as a program committee member of DART 2022 .

03/2022, Two papers accepted by CVPR 2022 (One Oral).

02/2022, One paper accepted by IEEE Transactions on Medical Imaging. (IF. 10.048).

12/2021, One paper 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.

Publications

I'm interested in building efficient vision models with unsupervised domain adaptation, pruning for classification/detection/segmentation/super resolution tasks.

Conference Papers:

	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]
	Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data Wuyang Li, Chen Yang, Jie Liu, Xinyu Liu, Xiaoqing Guo, Yixuan Yuan. IEEE International Symposium on Biomedical Imaging Endoscopy Workshop (EndoCV 2021), 2021 [paper]

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]
	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]
	SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection Wuyang Li, Xinyu Liu, Yixuan Yuan. IEEE Transactions on Multimedia (TMM), 2022 [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]
	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]
	Global Context Parallel Attention for Anchor-free Instance Segmentation in Remote Sensing Images Xinyu Liu, Xiaoguang Di. IEEE Geoscience and Remote Sensing Letters (GRSL), 2020 [paper]
	Vector Encoded Bounding Box Regression for Detecting Remote Sensing Objects with Anchor-free Methods Xinyu Liu, Xiaoguang Di, Junde Wu, Jiehao Huang. International Journal of Remote Sensing (IJRS), 2020 [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

	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 (2022)

Asian Conference on Computer Vision (ACCV) (2024)

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

Journal Reviewer:

IEEE Transactions on Image Processing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Knowledge and Data Engineering

IEEE Transactions on Medical Imaging

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Geoscience and Remote Sensing

IEEE Transactions on Automation Science and Engineering

IEEE Computational Intelligence Magazine

Cogent Engineering

IET Computer Vision

Program Committee:

5th MICCAI Workshop on Domain Adaptation and Representation Transfer (DART) (2023)

4th MICCAI Workshop on Domain Adaptation and Representation Transfer (DART) (2022)

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