I am interested in Deep Learning and Brain-like Intelligence, Intelligent Processing and Understanding for Remote Sensing Big Data.

I received my PhD in Pattern Recognition and Intelligent System from Shanghai Jiao Tong University in 2014 , and my Master and Bachelor degrees in Computer Application from Jilin University of Technology (now merged into Jilin University) in 1998 and 1995, respectively.

2018.1 - present, Associate Professor, Shanghai Jiao Tong University
2000.4 - 2017.12, Lecturer, Shanghai Jiao Tong University
1998.4 - 2000.4, Assistant, Shanghai Jiao Tong University

Principal Investigator
(1) National Science and Technology Major Project (Grant No. 21-Y20A06-9001-17/18), Fine Recognition.
(2) Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 41101386), Visual Attention Model based on Bayesian Integration and its Application on Express Object Detection in High-resolution Remote Sensing Images.

Core Project Member
I was involved in more than 10 projects supported by the National Key Basic Research and Development Program of China, the National High Technology Research and Development Program of China, National Natural Science Foundation of China, Shanghai Science and Technology Committee, and so on.

These projects include: (1) Fine classification on high resolution remote sensing imagery;(2) Content-based remote sensing images automatic retrieval and change detection for given objects;(3) Massive urban spatial information distributed processing and on-line services; (4)Urban spatial information service sharing; (5) Internet-oriented remote sensing images retrieval system.

C Language Programming, Computer Networks

【1】Hong Huo, Jianjun Qing, Tao Fang, and Nan Li. Land Cover Classification Using Local Softened Affine Hull. IEEE Transactions on Geoscience and Remote Sensing, 50(11): 4369-4383, 2012.
【2】 Nan Li, Hong Huo*, Tao Fang, A Novel Texture-Preceded Segmentation Algorithm for High Resolution Imagery, IEEE Transactions on Geoscience and Remote Sensing, 48(7): 2818-2828, 2010.
【3】Lihong Wan, Na Liu, Hong Huo*, Tao Fang. Selective Convolutional Neural Networks and Cascade Classifiers for Remote Sensing Image Classification. Remote Sensing Letters, 8(10): 917-926，2017.
【4】 Laiwen Zheng, Hong Huo*, Yiyou Guo, Tao Fang. Supervised adaptive incremental clustering for data stream of chunks. Neurocomputing,219: 502-517，2017.
【5】Jianjun Qing, Hong Huo*, Tao Fang, Pattern Classification Based on k Locally Constrained Line，Soft Computing, 15(4): 703-712, 2011.
【6】 Jianjun Qing, Hong Huo*, Tao Fang, Supervised land cover classification based on locally reduced convex hull, International Journal of Remote Sensing, 31(8): 2179-2187, 2010.
【7】Jianjun Qing, Hong Huo*, Tao Fang, Supervised Classification of Multispectral Remote Sensing Images Based on the Nearest Reduced Convex Hull Approach, Journal of Applied Remote Sensing, 3(1): 033550-18, 2009.
【8】Lihong Wan, Hong Huo*, Tao Fang. Age and gender classification in the wild with unsupervised feature learning. Journal of Electronic Imaging, 26(2): 023007 (1-13),2017.
【9】Hongbing Huang, Hong Huo, Tao Fang, Hierarchical Manifold Learning With Applications to Supervised Classification for High Resolution Remotely Sensed Images. IEEE Transactions on Geoscience and Remote Sensing, 52(3): 1677-1692,2014.
【10】 Hong Huo and Tao Fang. Orientation pooling based on sparse representation for rotation invariant texture features Extraction. IEEE TENCON 2013, October 22–25, Xi’an China: 2159-3442, 2013.
【11】 Hong Huo and Tao Fang. Integration of bottom-up and top-down cues in Bayesian network for object detection. 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, December 20–22, Shenyang, China: 883-887,2013.
【12】Li Chaoyang, Huo Hong, Tao Fang. Oil Depot Detection from High Resolution Remote Sensing Image Based on Salient Region Extraction. 2016 International Conference on Audio, Language and Image Processing (ICALIP), Shanghai, China, 11-12 July: 285-288，2016.
【13】Yuhui Li, Hong Huo and Tao Fang. Hierarchical Segmentation of Remote Sensing Images by Unsupervised Deep Learning Features. 2017 10th International Symposium on Computational Intelligence and Design (ISCID 2017), Dec. 9-10, Hangzhou, China, 1: 448-453, 2017.
【14】Qiankun Ye, Hong Huo, Tinghe Zhu and Tao Fang. Harbor Detection in Large-scale Remote Sensing Images using Both Deep-learned and Topological Structure. 2017 10th International Symposium on Computational Intelligence and Design (ISCID 2017), Dec. 9-10, Hangzhou, China, 1: 218-222, 2017.
【15】 Jiaxing Liu, Hong Huo, Weitai Hu, Jingling Li, Tao Fang, 2018. Brain-inspired hierarchical spiking neural network using unsupervised STDP rule for image classification. Proceedings of 2018 10th International Conference on Machine Learning and Computing, ICMLC 2018. February 26-28, Macau, China: 230-235, 2018.

Lab Website:http://www.sensingworld.sjtu.edu.cn