GREETINGS!WELCOME TO MY HOMEPAGE!

Zheng Zhang
Full Professor
Harbin Institute of Technology, Shenzhen

Dr. Zheng Zhang is a faculty member at School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China, and also holds an adjunct position at Peng Cheng Laboratory, Shenzhen, China. He is the deputy director of the Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China.

Openings: I am continuously looking for highly-motivated Ph.D. students and postdoctoral researchers to work on machine learning, computer vision and multimedia. Please send me your CV if interested. I can supervise Ph.D. students affiliated with Harbin Institute of Technology as well as Peng Cheng Laboratory. You also may refer to my current research group for detailed information, a new branch of the BMI group!

"Happiness depends upon ourselves." — Aristotle
"Everything should be as simple as possible, but not simpler." — Albert Einstein
"Not everything that counts can be counted, and not everything that’s counted truly counts." — Albert Einstein

Welcome to visit my New Homepage!

Biography

Dr. Zheng Zhang received his Ph.D. degree in Computer Applied Technology from the Harbin Institute of Technology (HIT), advised by Prof. Yong Xu. He visited the National Laboratory of Pattern Recognition (NLPR) at Institute of Automation of Chinese Academy of Sciences (CAS), Beijing, working with Prof. Cheng-Lin Liu (Director of the Laboratory, IEEE/IAPR Fellow), from Jun. 2015 to Jun. 2016. After obtaining his doctoral degree, he became an Assistant Researcher at The Hong Kong Polytechnic University, working with Prof. Calvin Wong, from Apr. 2018 to Oct. 2018, and later was a Postdoctoral Research Fellow at Data Science Group, School of Information Technology and Electrical Engineering, The University of Queensland, Australia, supervised by Prof. Helen Huang, from Oct. 2018 to Oct. 2019. During his Ph.D. study and academic career, he was fortunately mentored by Prof. Heng Tao Shen (Member of Academia Europaea, ACM/IEEE/OSA Fellow) and Prof. Ling Shao (IEEE/IAPR Fellow). Since 2019, he has been with School of Computer Science & Technology, Harbin Institute of Technology, Shenzhen, China, where he currently serves as the deputy director of the Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China.

Dr. Zhang's research interests mainly focus on multimedia content analysis and understanding, especially multimedia retrieval, multi-modal learning, and big data mining. He has published more than 200 technical papers in prestigious international journals and conference proceedings. He is a co-recipient of paper awards in ACM Multimedia Asia'21, EAI ICMTEL'22 and SMARTCOMP'14. He is currently at the Editorial Board of IEEE Trans. on Affective Computing (IEEE TAC), IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), and Elsevier Information Fusion (INFFUS). His Ph.D. thesis was awarded the Distinguished Ph.D. Dissertation of The Chinese Institute of Electronics, Outstanding Ph.D. Dissertation finalist of The Chinese Association for Artificial Intelligence (CAAI) as well as Distinguished Doctoral Degree Thesis Award of HIT. He was the recipient of the CAAI Outstanding Young Research Achievement Award and also has been featured in the 'World's Top 2% Scientists List' for consecutive years. He is an IEEE and CCF Senior Member.

Research Interests

  • Cross-media Intelligence, Multimedia Retrieval, Multi-modal Affective Computing
  • AI in Healthcare, Medical Image Analysis, Multi-modal Diagnosis
  • Trustworthy Machine Learning, Self-supervised Learning, Transfer Learning
  • Deep Representation Learning, Metric Learning, Few-shot (zero-shot) Learning
What's New

  • Appointed as an Associate Editor for the IEEE Trans. on Affective Computing.
  • Appointed as an Associate Editor for the IEEE Journal of Biomedical and Health Informatics (JBHI) (IF: 7.021, Top journal in biomedical and health informatics) and submitting papers through the IEEE Author Portal.
  • Appointed as an Editorial Board Member for the Information Fusion (INFFUS) (CCF B, IF: 17.564, TOP) and submitting papers through the EM system.
  • Recognized as "World’s Top 2% Scientists ranking" organized by Stanford University in 2021 and 2022.
  • Serving as Early Career Advisory Board Member for IEEE/CAA Journal of Automatica Sinica (JAS) (CCF A, IF: 6.171, Q1).
  • Serving as Senior PC for AAAI Conference on Artificial Intelligence (AAAI 2022) (CCF A).
  • Serving as Technical Program Committee Co-Chair for EAI International Conference on IoT and Big Data Technologies for HealthCare (EAI IoTCare).
  • Serving as Senior PC for ACM International Conference on Information and Knowledge Management (CIKM 2021) (CCF B).
  • Serving as Ph.D. School Co-Chair for ACM Multimedia Asia conference (ACMM Asia 2021) (CCF A).
  • Serving as Area Chair for ACM International Conference on Multimedia (ACMM 2021) (CCF A).
  • Serving as Senior PC for International Joint Conference on Artificial Intelligence (IJCAI 2021) (CCF A).
  • Serving as Special Issue Chair for the 3rd EAI International Conference on Multimedia Technology and Enhanced Learning (EAI ICMTEL).
  • Serving as Editorial Board Member for Information Processing & Management (CCF B, Q1, TOP).
  • Serving as Publication Chair for the 16th International Conference on Advanced Data Mining and Applications (ADMA).