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Yong Feng
Update  :   2021-07-30    Read  :  




Yong Feng


Professor

Email: fengyong@cqu.edu.cn

Dr. Yong Feng is a Professor and Dean of Department of Computer Engineering at the College of Computer Science of Chongqing University in China. He has worked in the field of Multi-modal Big Data Intelligent Understanding and Mining, and Computer Vision and Cross-modal Perception over 20 years. In 2006, he received the PhD at Chongqing University in Computer Software and Theory. In 2013, he was promoted to Professor. Dr. Feng has published more than 60 academic papers and 3 monographs. Dr. Feng is leaders of 20 key research projects, such as National Key Research and Development Project of China, Key Projects in the National Science & Technology Pillar Program of China, National Natural Science Foundation of China, China Postdoctoral Science Foundation, and Natural Science Foundation Project of CQ CSTC.

Selected Publication(*Corresponding Author)                                                               

1、Yiming Shen, Yong Feng*, Bin Fang, Mingliang Zhou, Sam Kwong, Bao-hua Qiang. DSRPH: Deep semantic-aware ranking preserving hashing for efficient multi-label image retrieval. Information Sciences, 539: 145-156, October 2020.

2、FENG Yong*, ZHANG Chun-Ping, QIANG Bao-Hua, ZHANG Yi-Yang, SHANG Jia-Xing. GP-WIRGAN: A Novel Image Recurrent Generative Adversarial Network Model Based on Wasserstein and Gradient Penalty. Chinese Journal of Computers, 43(2): 190-205, 2020.

3、FENG Yong*, ZHANG Bei, QIANG Bao-Hua, ZHANG Yi-Yang, SHANG Jia-Xing. MN-HDRM: A Novel Hybrid Dynamic Recommendation Model Based on Long-Short-Term Interests Multiple Neural Networks. Chinese Journal of Computers, 42(1): 16-28, 2019.

4、FENG Yong*, CHEN Yi-Gang, QIANG Bao-Hua. Social and Comment Text CNN Model Based Automobile Recommendation. Acta Automatica Sinica, 45(3): 518-529, 2019.

5、Hui Liu, Yong Feng*, Mingliang Zhou, Baohua Qiang. Semantic ranking structure preserving for cross-modal retrieval. Applied Intelligence, DOI: 10.1007/s10489-020-01930-x, published online: 15 October 2020.

6、Yi-yang Zhang, Yong Feng*, Da-jiang Liu, Jia-xing Shang, Bao-hua Qiang. FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval. Applied Intelligence, 50(7): 2208-2221, July 2020.

7、Yong Feng*, Zhong-fu Wu, Jiang Zhong, Chun-xiao Ye, Kai-gui Wu. An Enhanced Swarm Intelligence Clustering-based RBFNN Classifier and Its Application in Deep Web Sources Classification. Frontiers of Computer Science in China, 4(4): 560-570, Dec 2010.

8、Jiaqi Huang, Yong Feng*, Mingliang Zhou, Baohua Qiang. Relationship-Aware Hard Negative Generation in Deep Metric Learning. 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, Hangzhou, China, LNAI 12275, pp. 388-400, August 28-30, 2020.

9、Dong-dong Niu, Yong Feng*, Jia-xing Shang, and Bao-hua Qiang. SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval. The 25th International Conference on Neural Information Processing (ICONIP 2018), LNCS 11306, pp. 269–281, Siem Reap, Cambodia, December 13-16, 2018.

10、Chunping Zhang, Yong Feng*, Baohua Qiang, Jiaxing Shang. Wasserstein Generative Recurrent Adversarial Networks for Image Generating. The 24th International Conference on Pattern Recognition (ICPR 2018), August 20th-24th, 2018, pp. 242-247, Beijing, China.

Projects                                                                            

1、National Natural Science Foundation of China: Study on Image and Text Unified Retrieval based on Semantic Deep Understanding. (Co-PI)

2、National Natural Science Youth Foundation of China: Study on On-demand Semantic Deep Web Query Cloud Model and Evaluation. (PI)

3、Sub Project of National Key R&D Program of China: Study on Key Theories and Algorithms of Knowledge Service. (PI)

4、Frontier and Application Foundation Research Program of CQ CSTC:Study on Image-text Mapping and Retrieval based on Deep Learning and Semantic. (PI)

5、Frontier and Application Foundation Research Program of CQ CSTC:Study on Personalized Retrieval and Evaluation of Deep Web Big Data in Cloud Environment.PI

6、Key Project of Guangxi Key Laboratory of Trusted Software: Study on Construction and Retrieval of Domain Multimodal Knowledge Graph.PI

7、Key Project of Guangxi Key Laboratory of Optoelectroric Information Processing: Study on Hyperspectral Remote Sensing Image Retrieval based on Big Data.PI

Professional Activities                                                                        

Chief Expert of Chongqing Medicine Intelligent Logistics Engineering Technology Research Center

Member of China Computer Federation

Member of Chongqing Youth Science and Technology Leader Association

Member of Expert Committee of Chongqing Information Technology Application Innovation Industry Alliance

Member of Expert Advisory Committee of Digital Economy Innovation and Development Research Association of Sichuan Enterprise Federation

Member of Health Big Data Committee of Chongqing Cloud Computing and Big Data Industry Association

Organization Committee Co-chair and Program Committee Member of ADMA 2010

Program Committee Member of 2013 IEEE CPSIP

Registration Chair of IEEE RTCSA 2014 and IEEE NVMSA 2014

Program Committee Member of IEEE ICEBE 2014

Invited session Co-Chair of ICONIP 2017

Program Committee Member of ICONIP 2019.

Peer Reviewers of International Journals, e.g., IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Multimedia Computing, Communications, and Applications, IEEE Transactions on Computational Social Systems, and Frontiers of Computer Science, etc.

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