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Wang Ran

  • Educational level:

  • Professional titles: Associate Professor

  • Telephone:26538953

  • Email:wangran@szu.edu.cn

  • Address:Room 312,Huixing Building

Educational level Professional titles Associate Professor
Professional titles 26538953 Email wangran@szu.edu.cn
Address Room 312,Huixing Building Personal Profile
Educational experience Work experience
Research Field Machine learning, pattern recognition, big data analytics Honors obtained
Academic Programs Scientific research [1] Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang*, Chee Peng Lim, Xi- Zhao Wang, and Q. M. Jonathan Wu. A Review of Generalized Zero-Shot Learning Methods, in press, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2022.3191696.
[2] Hong Zhu, Xizhao Wang*, and Ran Wang*. Fuzzy monotonic k-nearest neighbor versus monotonic fuzzy k-nearest neighbor, IEEE Transactions on Fuzzy Systems, 30(9): 3501–3513 (2022).  
[3] Ran Wang*and Zichao Zhang. Set theory based operator design in evolutionary algorithms for solving knapsack problems. IEEE Transactions on Evolutionary Computation, 25(6): 1133–1147 (2021).
[4] Xi-Zhao Wang, Tianlun Zhang, and Ran Wang*. Noniterative deep learning: Incorporating restricted boltzmann machine into multilayer random weight neural networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(7): 1299—1308 (2019).  
[5] Ran Wang*, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sam Kwong, Yanhua Li, and JiaZeng. TaxiRec: Recommending road clusters to taxi drivers using ranking-based extreme learning machines. IEEE Transactions on Knowledge and Data Engineering, 30(3): 585—598 (2018).  
[6] Xi-Zhao Wang, Ran Wang*, and Chen Xu. Discovering the relationship between generalization and uncertainty by incorporating complexity of classification. IEEE Transaction son Cybernetics, 48(2): 703—715 (2018).  
[7] Ran Wang, Xi-Zhao Wang*, Sam Kwong, and Chen Xu. Incorporating diversity and informativeness in multiple-instance active learning. IEEE Transactions on Fuzzy Systems, 25(6): 1460—1475 (2017).  
[8] Ran Wang, Chi-Yin Chow, and Sam Kwong*. Ambiguity based multiclass active learning. IEEE Transactions on Fuzzy Systems, 24(1): 242—248 (2016).  
[9] Ran Wang, Sam Kwong*, Xi-Zhao Wang, and Qingshan Jiang. Segment based decision tree induction with continuous valued attributes. IEEE Transactions on Cybernetics, 45(7):1262–1275 (2015).  
[10] Ran Wang, Degang Chen, and Sam Kwong*. Fuzzy rough set based active learning. IEEE Transactions on Fuzzy Systems, 22(6): 1699–1704 (2014).

Personal Profile

Wang ran, female, native of Hebei province, graduated from City University of Hong Kong in February 2014 with a phd. She joined the school of Mathematics and statistics of Shenzhen University in March 2016. He has been engaged in machine learning and pattern recognition since 2009. He has published more than 60 articles in SCI journals and more than 20 papers in conferences. Google Scholar has been cited more than 2,200 times, chair of the National Natural Science Foundation of 4, as a number of high-level journals peer reviewers.

Educational experience

Work experience

Research Field

  • Machine learning, pattern recognition, big data analytics

Honors obtained

Academic Programs

Scientific research

  • [1] Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang*, Chee Peng Lim, Xi- Zhao Wang, and Q. M. Jonathan Wu. A Review of Generalized Zero-Shot Learning Methods, in press, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2022.3191696. [2] Hong Zhu, Xizhao Wang*, and Ran Wang*. Fuzzy monotonic k-nearest neighbor versus monotonic fuzzy k-nearest neighbor, IEEE Transactions on Fuzzy Systems, 30(9): 3501–3513 (2022). [3] Ran Wang*and Zichao Zhang. Set theory based operator design in evolutionary algorithms for solving knapsack problems. IEEE Transactions on Evolutionary Computation, 25(6): 1133–1147 (2021). [4] Xi-Zhao Wang, Tianlun Zhang, and Ran Wang*. Noniterative deep learning: Incorporating restricted boltzmann machine into multilayer random weight neural networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(7): 1299—1308 (2019). [5] Ran Wang*, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sam Kwong, Yanhua Li, and JiaZeng. TaxiRec: Recommending road clusters to taxi drivers using ranking-based extreme learning machines. IEEE Transactions on Knowledge and Data Engineering, 30(3): 585—598 (2018). [6] Xi-Zhao Wang, Ran Wang*, and Chen Xu. Discovering the relationship between generalization and uncertainty by incorporating complexity of classification. IEEE Transaction son Cybernetics, 48(2): 703—715 (2018). [7] Ran Wang, Xi-Zhao Wang*, Sam Kwong, and Chen Xu. Incorporating diversity and informativeness in multiple-instance active learning. IEEE Transactions on Fuzzy Systems, 25(6): 1460—1475 (2017). [8] Ran Wang, Chi-Yin Chow, and Sam Kwong*. Ambiguity based multiclass active learning. IEEE Transactions on Fuzzy Systems, 24(1): 242—248 (2016). [9] Ran Wang, Sam Kwong*, Xi-Zhao Wang, and Qingshan Jiang. Segment based decision tree induction with continuous valued attributes. IEEE Transactions on Cybernetics, 45(7):1262–1275 (2015). [10] Ran Wang, Degang Chen, and Sam Kwong*. Fuzzy rough set based active learning. IEEE Transactions on Fuzzy Systems, 22(6): 1699–1704 (2014).

Copyright School of Mathematical Sciences，Shenzhen University

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