Feng
Wang
Ph. D, MIEEE, MACM, SMCCF, Associate Professor
School of Computer Science
Wuhan University, China
Email: fengwang AT whu DOT edu DOT cn
Office: Room E306, Computer School Bldg, Wuhan University
Brief CV
Currently I am an associate professor of School of Computer Science in Wuhan University. I received my B.Sc. and Ph.D. degrees in Computer Science from Wuhan University in June 2003 and June 2008, respectively. From 2006 to 2008, I was a visiting student at Department of Computer Science of City University of Hong Kong, under the supervision of Professor Xiaotie Deng. And I continued my research with Professor Deng as a senior research assistant at City University of Hong Kong in 2010. From 2011 to 2012, I was doing postdoctoral research with Professor Ling Liu in the College of Computing at Georgia Institute of Technology.
Research
Interests
My current research interests mainly include Machine Learning and Computational Intelligence. More specifically, I am interested in: Multi/Many Objective Optimization, Estimation of Distribution Algorithms and their applications in Financial/Economic problems; Deep Learning and its application in Image Processing.
Selected
Publications
Book Chapters
- Xiaotie Deng, Feng Wang. Algorithmic Trading and Arbitrage Analysis in Financial Market. Tsinghua University Press. 2011.
- Xiaotie Deng, FengWang, Keren Dong. Algorithmic Trading Strategy Making Algorithms
and Applications. Information Systems for Global Financial Markets: Emerging Developments and Effects. IGI Global. 2011.
Journal Papers
- Feng Wang, Yixuan Li, Aimin Zhou, Ke Tang, An estimation of distribution algorithm for mixed-variable Newsvendor problems. IEEE Transactions on Evolutionary Computation, 2019. https://doi.org/10.1109/TEVC.2019.2932624 (SCI, TOP Journal, JCR Q1, IF: 8.508).
- Feng Wang, Huiqing Zhu, Wei Li, Kangshun Li. A Hybrid Convolution Network for Serial Number Recognition on Banknotes. Information Sciences, 2019. https://doi.org/10.1016/j.ins.2019.09.070 (SCI, JCR Q1, IF: 5.524).
- Feng Wang*, Yixuan Li, Heng Zhang, Ting Hu, Xiao-liang Shen. An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization. Swarm & Evolutionary Computation, 2019, 49:220–233. (SCI, JCR Q1, IF: 6.330).
- Jingling Zhou, Feng Wang*, Jianrong Xu, Yun Yan, Huiqing Zhu. A Novel Character Segmentation Method for Serial Number on Banknotes with Complex Background. Journal of Ambient Intelligence and Humanized Computing. 2019, 10(8): 2955-2969. (SCI, JCR Q3, IF: 1.588).
- Feng Wang*, Heng Zhang, Kangshun Li, Zhiyi Lin, Jun Yang, Xiao-Liang Shen. A Hybrid Particle Swarm Optimization Algorithm Using Adaptive Learning Strategy. Information Sciences, 2018, 436-437: 162-177. (SCI, JCR Q1, IF: 5.524) (source code) ESI Highly Cited Paper.
- Feng Wang, Heng Zhang, Yixuan Li, Yaoyu Zhao, Qi Rao. External Archive Matching Strategy for MOEA/D. Soft Computing, 2018, 22(23): 7833-7846. (SCI, JCR Q2, IF: 2.472).
- Hongrun Wu, Li Kuang, Feng Wang*, Qi Rao, Maoguo Gong, Yuanxiang Li. A Multiobjective Box-Covering Algorithm for Fractal Modularity on Complex Networks. Applied Soft Computing, 2017, 61:294-313. (SCI, JCR Q1, IF: 4.873).
- Feng Wang*, Yongquan Zhang, Qi Rao, Hao Zhang. Exploring Mutual Information based Sentimental Analysis with Kernel based Extreme Learning Machine for Stock Prediction. Soft Computing, 2017, 21 (12):3193-3205. (SCI, JCR Q2, IF: 2.472).
- Xiaodong Li, Xiaotie Deng, Shanfeng Zhu, Feng Wang*, Haoran Xie. An Intelligent Market Making Stragegy in Algorithmic Trading. Frontiers of Computer Science, 2014, 8(4): 596-608. (SCI, JCR Q3, IF: 1.039).
- Feng Wang*, Zhiyi Lin, Cheng Yang, Yuanxiang Li. Using Selfish Gene Theory to Construct Mutual Information and Entropy based Cluster for Bivariate Optimizations. Soft Computing. 2011, 15(5): 907-915. (SCI, JCR Q2, IF: 2.472).
- Feng Wang*, Cheng Yang, Zhiyi Lin, Yuanxiang Li. Hybrid Sampling on Mutual Information Entropy-based Clustering Ensembles for Optimizations. Neurocomputing. 2010, 73: 1457-1464 (SCI, JCR Q1, IF: 3.317).
- Feng Wang*, Keren Dong, Xiaotie Deng. Algorithmic Trading System: Design and Applications. Frontiers of Computer Science, 2009 3(2): 235-246 (SCI, JCR Q3, IF: 1.039).
- Feng Wang*, Yuanxiang Li, Li Li, Kangshun Li. Automated Analog Circuit Design Using Two-layer Genetic Programming. Applied Mathematics and Computation, 2007, 185 (2): 1087-1097 (SCI, JCR Q1, IF: 1.786).
Conference Papers
- Li Kuang, Feng Wang*, Heng Zhang, Yuanxiang Li. Statistical Analysis of Social Coding in GitHub Hypernetwork. SEAL 2017: 883-895.
- Kyle L. Nickerson, Yuanzhu Chen, Feng Wang, Ting Hu. Measuring evolvability and accessibility using the hyperlink-induced topic search algorithm. GECCO 2018: 1175-1182 (EI).
- Heng Zhang, Yaoyu Zhao, Feng Wang*, Anran Zhang, Pengwei Yang, Xiao-Liang Shen. A New Evolutionary Algorithm based on MOEA/D for Portfolio Optimization. ICACI 2018: 831-836. (EI).
- Li Kuang, Feng Wang*, Heng Zhang, Yuanxiang Li. Statistical Analysis of Social Coding in GitHub Hypernetwork. SEAL 2017: 883-895.
- Feng Wang, Qi Rao, Yongquan Zhang, Xu Chen. Robust Sparse Subspace Learning for Unsupervised Feature Selection. IJCNN 2016: 4205-4212.
- Feng Wang, Yongquan Zhang, Hang Xiao, Li Kuang, Yi Lai. Enhancing Stock Price Prediction with a Hybrid Approach Base Extreme Learning Machine. ICDM Workshop 2015：1568-1575.
- Li Kuang, Feng Wang*, Yuanxiang Li, Haiqiang Mao, Min Li, Fei Yu. A Discrete Particle Sware Optimization Box-covering Algorithm for Fractal Dimension on Complex Networks. CEC 2015.
- Feng Wang, Zhiyong Zhao, Xiaodong Li, Fei Yu, Hao Zhang. Stock Volatility Prediction Using Multi-Kernel Based Extreme Learning Machine. IJCNN 2014: 3078-3085.
- Li Kuang, Zhiyong Zhao, Feng Wang*, Yuanxiang Li, Fei Yu, Zhijie Li. A Differential Evolution Box-Covering Algorithm for Fractal Dimension on Complex Networks. CEC 2014 : 693-699.
- Feng Wang, Ling Liu, Chenxiao Dou. Stock Market Volatility Prediction: A Service-Oriented Multi-kernel Learning Approach. IEEE SCC 2012: 49-56.
Professional
Activities
Conference Organizers and Program Committees
- Conference Organizers: ICA3PP 2018 Workshop Co-Chair, ICACI 2018 Special Session Chair, ISICA 2017 Session Chair, ISICA 2015 Session Chair, FAW 2010 Organization Chair
- Program Committee Member: ICACI 2018, SEAL 2017, ISICA 2017, ISICA 2015, ISICA 2011, FAW 2010, AAAI 2019, IJCAI 2019, AAAI 2020
Journal or Conference Reviews
- Journal Reviewer: IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cloud Computing, IEEE Transactions on Circuits and Systems I, Information Science, Algorithmica, Swarm and Evolutionary Computation, Knowledge-Based Systems, Neurocomputing, Engineering Applications of Artificial Intelligence, International Journal of Pattern Recognition and Artificial Intelligence, Neural Computing and Applications, European Journal of Finance, Soft Computing, International Journal of Information Technology and Decision Making, IEE Journal of IET Circuits, Devices and Systems
- Conference Reviewer: ICIC 2018, ICACI 2018, IJCNN 2018, SEAL 2017, IJCNN 2016, WWW2015, FAW 2010
Research Team
- Mr. Heng Zhang, Master 2017
- Mr. Yixuan Li, Master, 2018
- Mr. Fanshu Liao, Master, 2019
- Mr. Mengchen Han, Master, 2019
- Miss Yuxuan Zhou, Bachelor, 2016
- Miss Zixuan Gu, Bachelor, 2017
Alumni
- Mr. Hang Xiao, Master 2016 (Alibaba)
- Mr. Qiang Wan, Master 2016 (Guotai Junan Securities)
- Mr. Feng Jiang, Master 2016 (Dianping)
- Mr. Jianrong Xu, Master 2017 (Sunlands)
- Mr. Siwu Wang, Master 2017 (China UnionPay)
- Mr. Yun Yan, Master 2018 (Baidu)
- Miss Jingling Zhou, Master 2019 (ICBC)
- Mr. Yaoyu Zhao, Master 2019 (Ericsson)
- Mr. Jiajun Wu, Master 2019 (Shopee)
- Miss Huiqing Zhu, Master 2019 (Duxiaoman Financial)
- Miss Shuwen Wang, Bachelor, 2019 (Master at MIT)
Courses
- Data Structure and Algorithm (2018 Fall, 2019 Fall)
- Digital Image Processing (2018 Fall, 2019 Fall)
- Machine Learning for Computer Vision (2019 Spring)
Last updated: Sep.28, 2019