Biography:

Dr. Richang Hong is the Dean of School of Computer and Informatics, Hefei University of Technology, also a Deputy Director of Institute of Dataspace, Hefei Comprehensive National Science Center. 

Dr. Richang Hong received his Ph.D. degrees in July 2008 from the University of Science and Technology of China (USTC). He worked as a research fellow with Prof. Chua Tat-Seng in School of Computing, National University of Singapore (NUS), until Dec. 2010. After that, Dr. Hong joined School of Computer and Information, Hefei University of Technology (HFUT) as a Professor. He visited Dr. Tao Mei (FIEEE) and Dr. Shipeng Li (FIEEE) in Microsoft Research Asia from Mar. to Sept. 2012 by "Star-Track" Program and visited Prof. Qi Tian (FIEEE) at University of Texas, San Antonio from Aug. to Nov. 2014. 

His current research interests include multimedia, language and vision and social media. He has authored over 200 journal and conference papers in these areas and the Google Scholar citations for those papers is more than 20000. He served as editor of the IEEE TCSVT, IEEE TMM, IEEE TCSS, IEEE TBD, ACM TOMM, NPL and the guest editors of several international journals, a steering committee member of MMM (international conference on multimedia modeling) conference series since 2019, and the technical program chairs of PCM'2018, etc. He also served as area chairs of ACM Multimedia, SIGIR etc. since 2016 and a technical program committee member of over 20 prestigious international conferences, and a reviewer of over 20 prestigious international journals. He is a recipient of the Best Paper Award in ACM Multimedia 2010, Best Paper Award in ACM ICMR 2015 and Best Paper Honorable Mention Award of IEEE trans. Multimedia 2015.  Dr. Hong joined CCF, CSIG, CAAI, IEEE and ACM. He is the deputy director of multimedia technical committee of CSIG and the secretary of the ACM SIGMM China Chapter. 

Recent Publications:

Google scholar page for Impact.

DBLP for updated publication list.

Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Jiebo Luo: Few-Shot Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11824-11841 (2023)

Wei Qin, Hanwang Zhang, Richang Hong, Ee-Peng Lim, Qianru Sun: Causal Interventional Training for Image Recognition. IEEE Trans. Multim. 25: 1033-1044 (2023)

Richang Hong, Daqing Liu, Xiaoyu Mo, Xiangnan He, Hanwang Zhang: Learning to Compose and Reason with Language Tree Structures for Visual Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 684-696 (2022)

Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong: Hierarchical Prototype Refinement With Progressive Inter-Categorical Discrimination Maximization for Few-Shot Learning. IEEE Trans. Image Process. 31: 3414-3429 (2022)

Zhao Zhang, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan, Meng Wang: Deep Color Consistent Network for Low-Light Image Enhancement. CVPR 2022: 1889-1898

Yonghui Yang, Le Wu, Richang Hong, Kun Zhang and Meng Wang: Graph Learning for Collaborative Filtering via Mutual Information Maximization. ACM SIGIR 2021.

Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu: Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1434-1445 (2021)

Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian. Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing. IEEE CVPR 2020. [arxiv preprint]

Hengtong Hu, Lingxi Xie, Zewei Du, Richang Hong, Qi Tian: One-bit Supervision for Image Classification. NeurIPS 2020. [arxiv preprint]

Jun He, Richang Hong, Xueliang Liu, Mingliang Xu, Zheng-Jun Zha, Meng Wang:Memory-Augmented Relation Network for Few-Shot Learning. ACM Multimedia 2020: 1236-1244.