zhanggy0903[at]gmail[dot]com

Guyue ZHANG

I am now a senior researcher at Zhejiang Institution of Standardization, Hangzhou, Zhejiang, China.

I obtained my Ph.D. degree in the Department of Computer Science and Technology at Fudan University in 2018. My research advisor is Prof. Yan Qiu Chen. Before that, I spent one year at University of Maryland - College Park under the advising of Prof. Larry Davis.

Education

Fudan University, Shanghai, China Advisor: Prof. Yan Qiu Chen

  • PhD in Computer Science Sep. 2013 – Oct. 2018

  • Thesis: Human Detection and Tracking with Depth Camera

University of Maryland, College Park, Maryland, United States Advisor: Prof. Larry S. Davis

  • PhD Visiting in Computer Science Aug. 2016 – Sep. 2017

  • Main Topic: Action Proposals and Detections, Style Transfer

East China University of Science and Technology, Shanghai, China

  • BEng. in Computer Science Sep. 2009 – Jun. 2013

  • Thesis: Plane Detection in Point Cloud with Kinect

Research Interest

  • Computer Vision, Machine Learning, and Artificial Intelligence

Publications

(Google Scholar: https://scholar.google.com/citations?user=Pm29TvAAAAAJ&hl)

  • G. Zhang, K. Chen, S. Xu, P.C. Cho, Y. Nan, et al. Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images. Computerized Medical Imaging and Graphics 90, 101929

  • G. Zhang, Z. Xiong, K. Chen, et al. An Image Synthetic Scheme for Micro-Bleeding Detection in Non-Contrast CT. Submitted to 2020 The Radiological Society of North America (RSNA2020).

  • G. Zhang, J. Liu, H. Li, Y. Q. Chen, L. Davis. Joint Human Detection and Head Pose Estimation via Multi-Stream Networks for RGB-D Videos. IEEE Signal Processing Letters (SPL), 2017, 24(11): 1666-1670.

  • G. Zhang, L. Tian, J. Liu, Y. Chen, Y. Liu, Y. Q. Chen. Robust Real-Time Human Perception with Depth Camera. 22nd European Conference on Artificial Intelligence (ECAI), 2016: 304-310. (Oral)

  • G. Zhang, J. Liu, L. Tian, Y. Q. Chen. Reliably Detecting Humans with RGB-D Camera with Physical Blob Detector Followed by Learning-based Filtering. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016: 2004-2008.

  • G. Zhang, J. Liu, Y. Liu, J. Zhao, L. Tian, Y. Q. Chen. Physical Blob Detector and Multi-Channel Color Shape Descriptor for Human Detection. Journal of Visual Communication and Image Representation (JVCIR), 2018, 52: 13-23.

  • X. Zhao, K. Chen, G. Wu, G. Zhang, et al. Deep learning shows good reliability for automatic segmentation and volume measurement of brain hemorrhage, intraventricular extension, and peripheral edema. European Radiology 31 (7), 5012-5020.

  • X. Dai, B. Singh, G. Zhang, L. Davis, Y. Q. Chen. Temporal Context Network for Activity Localization in Videos. IEEE International Conference on Computer Vision (ICCV), 2017: 5727-5736.

  • X. Zhao, K. Chen, G. Zhang, X. Zhou, C. Lu, G. Xie, Z. Yao. Automation of Computed Tomography based Hemorrhage and Perihematomal Edema Assessment in Primary Intracerebral Hemorrhage: A Deep Learning Study. Submitted to 2020 The Radiological Society of North America (RSNA2020).

  • H. Li, J. Liu, G. Zhang, Y. Gao, Y. Wu. Multi-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection. IEEE International Conference on Image Processing (ICIP), 2017: 905-909.

  • J. Zhao, G. Zhang, Y. Q. Chen. Real-Time Human Detection with Depth Camera via a Physical Radius-Depth Detector and a CNN Descriptor. IEEE International Conference on Multimedia and Expo (ICME), 2017: 1536-1541.

  • L. Tian, M. Li, G. Zhang, J. Zhao, Y. Q. Chen. Robust Human Detection with Super-Pixel Segmentation and Random Ferns Classification using RGB-D Camera. IEEE International Conference on Multimedia and Expo (ICME), 2017: 1542-1547.

  • L. Tian, G. Zhang, M. Li, Y. Q. Chen. Reliably Detecting Humans in Crowded and Dynamic Environments using an RGB-D Camera. IEEE International Conference on Multimedia and Expo (ICME), 2016: 1-6.

  • J. Liu, G. Zhang, Y. Liu, L. Tian, Y. Q. Chen. An Ultra-Fast Human Detection Method for Color-Depth Camera. Elsevier Journal of Visual Communication and Image Representation(JVCIR), 2015, vol. 31, pp. 177-185.

  • J. Liu, Y. Liu, G. Zhang, P. Zhu, Y. Q. Chen. Detecting and Tracking People in Real Time with RGB-D Camera. Elsevier Pattern Recognition Letters(PRL), 2015, vol. 53, pp. 16-23.

  • L. Tian, M. Li, Y. Hao, J. Liu, G. Zhang, and Y. Q. Chen. Robust 3D Detection and Positioning of Humans in Complex and Dynamic Environments with Depth Camera. IEEE Transactions on Multimedia (TMM), 2018, 20(9): 2249-2261.

  • X. Zhao, K. Chen, G. Zhang, X. Zhou, C. Lu, G. Xie, Z. Yao. Automation of Computed Tomography based Hemorrhage and Perihematomal Edema Assessment in Primary Intracerebral Hemorrhage: A Deep Learning Study. The Radiological Society of North America (RSNA 2020).

  • X. Zhao, K. Chen, G. Zhang, X. Zhou, C. Lu, G. Xie, Z. Yao. Automatic quantification of hematoma and perihematomal edema in intracerebral hemorrhage. The 10th Oriental Congress of Radiology (OCR 2020).

Experience

Senior Researcher in Zhejiang Institution of Standardization

Hangzhou, Zhejiang, China Dec. 2020 – Present


Senior Research Fellow in Research Center for Healthcare Data Science

Zhejiang Lab, Hangzhou, Zhejiang, China Sep. 2020 – Nov. 2020

  • Research on epilepsy detection.


Senior Research Scientist in R&D Group

PingAn Health Tech Center, Shanghai, China Nov. 2018 – Aug. 2020

  • Integrated multi segmentation tasks (brain skulls, midlines, and brain sulcus) and classification (slice-based) task into one network as preprocessing for intracranial hemorrhage (ICH) detection on CT scans.

  • Using partial convolution network as image inpainting to decrease the impact of hemorrhage to the segmentation results of brain lobes.

  • Intracranial hemorrhage synthesis by partial convolution for data augmentation especially microbleeds.

  • Working on abdominal segmentation (subcutaneous adipose tissue, muscle, visceral adipose tissue, visceral fat-free tissue and bone) of CT scans for body composition analysis.

  • Subcortical segmentation on CT and MR images.

PhD Researcher in Computer Vision Lab Advisor: Dr. Larry S. Davis

University of Maryland, College Park, Maryland, United States Aug. 2016 – Sep. 2017

  • Worked on temporal action localizations and action detections and presented Temporal Context Network (TCN) which outperformed state-of-the-art methods on ActivityNet and THUMOS14 dataset.

  • Worked on style transfer system with Generative Adversarial Network (GAN). Utilized local and global discriminators to focus more on structure translation with hierarchical cycle GAN.

PhD Student in Computer Vision Lab Advisor: Dr. Yan Qiu Chen

Fudan University, Shanghai, China Sep. 2013 – Oct. 2018

  • Integrated appearance, shape and motion information for RGB-D based human detection and head pose estimation. Proposed scale-invariant proposals for depth data, and built a multi-stream network with contextual ROI pooling.

  • Utilized LSTM with multi-scale contextual information (color and depth CNN features) to promote human detection performance. Proposed a feature fusion strategy based on multi-LSTM networks.

  • Proposed several effective methods of human detection and tracking in 3D space. Designed and implemented a cascade-structured method for mobile platform with extremely fast speed (80-140 fps on a single CPU core without GPU acceleration) and high accuracy.

Reviewer

Reviewed over 110 papers

  • International Joint Conference on Artificial Intelligence (IJCAI)

  • IEEE Transactions on Image Processing (TIP)

  • Transactions on Multimedia (TMM)

  • Computer Vision and Image Understanding (CVIU)

  • Neurocomputing

  • IEEE Signal Processing Letter (SPL)

  • IEEE Access

  • Sensors, Signal, Image and Video Processing (SIVP)

  • Journal of Experimental & Theoretical Artificial Intelligence (JETAI)

  • The Visual Computer(TVC)

  • Journal of Electronic Imaging (JEI)

Patents

  • 目标检测方法、装置及计算机可读存储介质（章古月） No. CN201911256499.1

  • 图像分割方法、装置电子设备及计算机可读存储介质（章古月） No. CN202010431606.6

  • 一种图像数据的生成方法及装置（卓柏全、周鑫，陈凯星、章古月） No. CN202010138075.1

Awards

  • Chinese Government Scholarship of China Scholarship Council, 2016

  • First Academic Scholarship in Fudan University, 2014, 2015, 2016

  • Excellent School Graduation Thesis, 2013

  • Excellent Graduate in East China University of Science and Technology, 2013