Binary Representation Learning on Visual Images

Zheng Zhang is a full Professor at School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China. He is 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 100 technical papers in prestigious international journals and conference proceedings, with over 7,000 citations according to Google Scholar (h-Index: 40). He is a co-recipient of paper awards in ACM Multimedia Asia'21, EAI ICMTEL'22, and SMARTCOMP'14.  He was the recipient of the CAAI Outstanding Young Research Achievement Award and has also been featured in the 'World's Top2% Scientists' for consecutive years. He serves as the Editorial Board Member of IEEE Trans. on Affective Computing (IEEE TAC), IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), and Elsevier Information Fusion (INFFUS), as well as the Area Chair of ICML, CVPR, ACM MM, and others. He is an IEEE and CCF Senior Member.

• Chapter 1. Introduction.- Chapter 2. Scalable Supervised Asymmetric Hashing.- Chapter 3. Inductive Structure Consistent Hashing.- Chapter 4. Probability Ordinal-preserving Semantic Hashing.- Chapter 5. Ordinal-preserving Latent Graph Hashing.- Chapter 6. Deep Collaborative Graph Hashing.- Chapter 7. Semantic-Aware Adversarial Training.- Index.