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Dong Zhang
Research Assistant Professor
Vision and System Disign Lab
dongz AT ust DOT hk

Faculty Profile  Dong ZHANG
OCRiD  0000-0002-4543-2179
Google Scholar  zxVy7sIAAAAJ&hl
知乎  ERLING的铲屎官
Photography Works  ShangJia

About Me

I am now a Research Assistant Professor at the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology (HKUST), where I work closely with Prof. Kwang-Ting Cheng. Prior to this, I was a postdoctoral researcher at the Department of CSE from Jan. 2022 to Nov. 2023. Before joining HKUST, I earned my Ph.D. degree in Computer Science and Technology from Nanjing University of Science and Technology, where I was supervised by Prof. Jinhui Tang. From Sep. 2018 to Sep. 2020, I was supported by the China Scholarship Council as a joint Ph.D. student at MReaL of Nanyang Technological University in Singapore, under the supervision of Prof. Hanwang Zhang and Prof. Qianru Sun.

My primary research interests are in machine learning, computer vision, and medical image analysis, with a focus on fundamental research tasks such as image classification, object detection, semantic segmentation, and pose estimation. In addition, my research interests are also centered on efficient network architecture design for edge devices perception, with an emphasis on developing integrated visual recognition systems tailored for applications such as healthcare and wellness analysis.

I currently do not have any funds available to support PhD/MPhil/RA student applications at HKUST. I apologize for any inconvenience this may cause and suggest that you consider other options. Thanks!


I would like to express my heartfelt thanks to my beloved cat, ERLING (二零 in chinese), who was by my side throughout my doctoral journey. Sadly, ERLING passed away in a car accident in Dec. 2023. Although she was just a cat, her presence brought me comfort during many anxious and sleepless nights. I am forever grateful for her companionship and will always cherish the memories we shared.


Publications

* denotes co-first authors.
# denotes corresponding author.

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