• [NO.]
    Year / Authors / Paper-Title / Journal / [Month]Year / [Volume-Issue-Pages] / DOI / Citation-numbers (SCI/WOS/Google-Scholar)
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    [285] (2022) Jianhua Dai, Xiongtao Zou, Yuhua Qian, Xizhao Wang; Multi-Fuzzy Beta-Covering Approximation Spaces and Their Information Measures; IEEE Transactions on Fuzzy Systems; DOI: 10.1109/TFUZZ.2022.3193448 (0/0/0)
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    (2022) Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xizhao Wang; A Review of Generalized Zero-Shot Learning Methods; IEEE Transactions on Pattern Analysis and Machine Intelligence; Accepted in July 2022 (0/0/36)
  • [160]
    (2022) Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen; MRGAT: Multi-Relational Graph Attention Network for Knowledge Graph Completion; Neural Networks; Accepted in July 2022 (0/0/0)
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    (2022) Xiaoying Zou, Xizhao Wang, Si Cen, Guoquan Dai, Chao Liu; Knowledge graph embedding with self-adaptive double-limited loss; Knowledge-Based Systems; Accepted in June 2022. DOI: https://doi.org/10.1016/j.knosys.2022.109310 (0/0/0)
  • [158]
    (2022) Wentao Li, Haoxiang Zhou, Weihua Xu, Xizhao Wang, Witold Pedrycz; Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data; IEEE Transactions on Neural Networks and Learning Systems; Accepted in June 2022. (0/0/0)
  • [157]
    (2022) Min Wang, Chunyu Yang, Fei Zhao, Fan Min, Xizhao Wang; Cost-Sensitive Active Learning for Incomplete Data; IEEE Transactions on Systems, Man and Cybernetics: Systems; Accepted in June 2022. (0/0/0)
  • [156]
    (2022) Juncheng Li, Faming Fang, Tieyong Zeng, Guixu Zhang, Xizhao Wang; Adjustable Super-Resolution Network via Deep Supervised Learning and Progressive Self-Distillation; Neurocomputing; Accepted in May 2022. (0/0/0)
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    (2022) Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani, A Review of Artificial Fish Swarm Algorithms: Recent Advances and Applications, Artificial Intelligence Review. Accepted in May 2022.
  • [154]
    (2022) Muhammed J. A. Patwary, Weipeng Cao, Xizhao Wang(*), Mohammad Ahsanul Haque. Fuzziness based semi-supervised multimodal learning for patient’s activity recognition using RGBDT videos. Applied Soft Computing. Accepted (available online) 25 February 2022. (0/0/0)
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    (2022) Hufsa Khan, Xizhao Wang, Han Liu(*). Handling missing data through deep convolutional neural network. Information Sciences. Accepted in February 2022. Available online 1 March 2022. https://doi.org/10.1016/j.ins.2022.02.051. (0/0/0)
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    (2022) Sihong Chen, Haojing Shen, Ran Wang, Xizhao Wang(*). Towards improving fast adversarial training in multi-exit network. Neural Networks. Accepted in February 2022. https://doi.org/10.1016/j.neunet.2022.02.015 (0/0/0)
  • IEEE
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    (2022) Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang(*). Adversarial Learning with Cost-Sensitive Classes. IEEE Transactions on Cybernetics. Accepted in January 2022. doi: https://doi.org/10.1109/TCYB.2022.3146388 (0/0/0)
  • [150]
    (2021)Mei Yang, Yu-Xuan Zhang, Xizhao Wang and Fan Min(*). Multi-Instance Ensemble Learning with Discriminative Bags. IEEE Transactions on Systems Man & Cybernetics: Systems. Accepted in November 2021, doi: https://doi.org/10.1109/TSMC.2021.3125040 (0/0/0)
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    (2021) Hong Zhu, Xizhao Wang(*) and Ran Wang(*). Fuzzy Monotonic K-Nearest Neighbor versus Monotonic Fuzzy K-Nearest Neighbor. IEEE Transactions on Fuzzy Systems, Accepted in September 2021, doi: https://doi.org/10.1109/TFUZZ.2021.3117450 (0/0/0)
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    (2021) Suyun Zhao(*), Zhigang Dai, Xizhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li, An Accelerator for Rule Induction in Fuzzy Rough Theory, IEEE Transactions on Fuzzy Systems, Vol.29 (12), 3635-3649, December 2021, DOI: https://doi.org/10.1109/TFUZZ.2021.3101935
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    (2021) Jianhui Pang, Yanghui Rao(*), Haoran Xie, Xizhao Wang, Fu Lee Wang, Tak-Lam Wong, Qing Li, Fast Supervised Topic Models for Short Text Emotion Detection. IEEE Transactions on Cybernetics, February 2021, 51(2): 815-828, doi: https://doi.org/10.1109/TCYB.2019.2940520 (4/4/13)
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    (2020) Dongmei Mo, Zhihui Lai, Waikeung Wong(*), Xizhao Wang. Jointly Sparse Locality Regression for Image Feature Extraction. IEEE Transactions on Multimedia, November 2020, 22(11): 2873-2888, doi: https:// doi.org/10.1109/TMM.2019.2961508 (0/0/1)
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    (2020) Lei Zhang(*), Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang. AdvKin: Adversarial Convolutional Network for Kinship Verification. IEEE Transactions on Cybernetics, December 2021, 51(12):5883-5896, 1-14 doi: https:// doi.org/10.1109/TCYB.2019.2959403 (7/7/16)
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    (2019) Qin Lin, Huailing Zhang, Xizhao Wang(*), Yun Xue, Hongxin Liu, Changwei Gong. A Novel Parallel Biclustering Approach and Its Application to Identify and Segment Highly Profitable Telecom Customers. IEEE Access, December 2019, 7(1): 28696-28711, doi: https://doi.org/10.1109/ACCESS.2019.2898644 (2/2/7)
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    (2019) Rong Chen, Shikai Guo, Xizhao Wang(*), Tianlun Zhang. Fusion of Multi-RSMOTE with Fuzzy Integral to Classify Bug Reports with an Imbalanced Distribution. IEEE Transactions on Fuzzy Systems, December 2019, 27(12):2406-2420, doi: https://doi.org/10.1109/TFUZZ.2019.2899809 (49/49/55)
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    (2019) Salim Rezvani, Xizhao Wang(*), Farhad Pourpanah. Intuitionistic Fuzzy Twin Support Vector Machines. IEEE Transactions on Fuzzy Systems, November 2019, 27(11):2140-2151, doi: https://doi.org/10.1109/TFUZZ.2019.2893863 (26/28/41)
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    (2019)Laizhong Cui, Chong Xu, Shu Yang(*), Joshua Zhexue Huang, Jianqiang Li, Xizhao Wang, Zhong Ming, Nan Lu. Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things. IEEE Internet of Things Journal, June 2019, 6(3): 4791-4803, doi: https://doi.org/10.1109/JIOT.2018.2869226 (40/42/59)
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    (2019) Wing W.Y. Ng, Xing Tian(*), Witold Pedrycz, Xizhao Wang, Daniel S. Yeung. Incremental Hash-bit Learning for Semantic Image Retrieval in Non-stationary Environments. IEEE Transactions on Cybernetics, November 2019, 49: 3844-3858, doi: https://doi.org/10.1109/TCYB.2018.2846760 (0/0/10)
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    (2019) Xiaojun Chen(*), Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang, Yunming Ye. Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method. IEEE Transactions on Cybernetics, September 2019, 49(9):3230-3241, doi: https://doi.org/10.1109/TCYB.2018.2836804 (9/9/19)
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    (2019) Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai(*), Witold Pedrycz, Loi Lei Lai(*), and Xizhao Wang. Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Transactions on Industrial Informatics, March 2019, 15(3):1588-1597, doi: https://doi.org/10.1109/TII.2018.2850930 (15/15/21)
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    (2018) Yanyan Yang(*), Degang Chen, Hui Wang, Xizhao Wang. Incremental perspective for feature selection based on fuzzy rough sets. IEEE Transactions on Fuzzy Systems, June 2018, 26(3):1257-1273, doi: https://doi.org/10.1109/TFUZZ.2017.2718492 (40/42/52)
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    (2018) Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang(*), Xizhao Wang, Chien-Chang Hsu. Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Transactions on Information Forensis and Security, February 2018, 13(2):521-534, doi: https://doi.org/10.1109/TIFS.2017.2758748 (26/27/52)
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    (2018) Xizhao Wang, Ran Wang(*), Chen Xu. Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification. IEEE Transactions on Cybernetics, February 2018, 48(2):703-715,doi: https://doi.org/10.1109/TCYB.2017.2653223 (71/71/85)
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    (2017) Ran Wang, Xizhao Wang (*), Sam Kwong, Chen Xu. Incorporating Diversity and Informativeness in Multiple-Instance Active Learning. IEEE Transactions on Fuzzy Systems, December 2017, 25(6): 1460-1475, doi: https://doi.org/10.1109/TFUZZ.2017.2717803 (65/66/78)
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    (2016) Xizhao Wang(*), Yulin He. Learning from Uncertainty for Big Data (Future Analytical Challenges and Strategies). IEEE Systems, Man, and Cybernetics Magazine, April 2016, 2(2): 26-31, doi: https://doi.org/10.1109/MSMC.2016.2557479 (2/2/39)WOS NO FOUND
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    (2015) Xi-zhao Wang(*), Hong-Jie Xing, Yan Li, Qiang Hua, Chun-Ru Dong, Witold Pedrycz. A Study on Relationship between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning, IEEE Transactions on Fuzzy Systems, October 2015, 23(5): 1638-1654, doi: https://doi.org/10.1109/TFUZZ.2014.2371479 (181/188/213)
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    (2015) Ran Wang(*), Sam Kwon, Xi-zhao Wang, Qing-Shan Jiang. Segment Based Decision Tree Induction with Continuous Valued Attributes. IEEE Transactions on Cybernetics, July 2015, 45(7): 1262-1275, doi: https://doi.org/10.1109/TCYB.2014.2348012 (53/55/57)
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    (2012) Xizhao Wang(*), Lingcai Dong, Jianhui Yan. Maximum ambiguity based sample selection in fuzzy decision tree induction. IEEE Transactions on Knowledge and Data Engineering, August 2012, 24(8): 1491-1505, doi: https://doi.org/10.1109/TKDE.2011.67 (127/133/168)
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    (2009) Xizhao Wang(*), Chunru Dong. Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Transactions on Fuzzy Systems, June2009, 17(3): 556-567, doi: https://doi.org/10.1109/TFUZZ.2008.924342 (160/161/207)
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    (2008) Xizhao Wang(*), Feng Guo, Xianghui Gao. Task 2 winner's solution: A Minkowski distance and nearest-unlike-neighbor distance method, within the paper “ Qiang Yang, et al, Estimating location using Wi-Fi”. IEEE Intelligent Systems, 2008, 23(1): 8-13
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    (2007) Daniel Yeung(*), Shuyuan Jin, Xizhao Wang. Covariance-matrix modeling and detecting various flooding attacks. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, March 2007, 37(2): 157-169, doi: https://doi.org/10.1109/TSMCA.2006.889480 (43/44/83)
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    (2007) DS Yeung(*), Ng Wing, Defeng Wang, Eric Tsang, Xizhao Wang. Localized generalization error model and its application to architecture selection for radial basis function neural network. IEEE Transactions on Neural Networks, September 2007, 18(5): 1294-1305, doi: https://doi.org/10.1109/TNN.2007.894058 (106/110/191)
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    (2005) DS Yeung(*), Degang Chen, ECC Tsang, JWT Lee, Xizhao Wang. On the generalization of fuzzy rough sets. IEEE Transactions on Fuzzy Systems, June 2005, 13(3): 343-361, doi: https://doi.org/10.1109/TFUZZ.2004.841734 (312/330/449)
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    (2004) ECC Tsang(*), DS Yeung, JWT Lee, DM Huang, Xizhao Wang. Refinement of generated fuzzy production rules by using a fuzzy neural network. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, February 2004, 34(1): 409-418, doi: https://doi.org/10.1109/TSMCB.2003.817033 (18/19/34)
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    (2004) DS Yeung(*), Xizhao Wang, ECC Tsang. Handling interaction in fuzzy production rule reasoning. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, October 2004, 34(5): 1979-1987, doi: https://doi.org/10.1109/TSMCB.2004.831460 (15/16/44)
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    (2003) ECC Tsang(*), DS Yeung, Xizhao Wang. OFFSS: Optimal fuzzy-valued feature subset selection. IEEE Transactions on Fuzzy Systems, April 2003, 11(2): 202-213, doi: https://doi.org/10.1109/TFUZZ.2003.809895 (36/37/69)
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    (2002) DS Yeung(*), Xizhao Wang. Improving performance of similarity-based clustering by feature weight learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, April 2002, 24(4): 556-561, doi: https://doi.org/10.1109/34.993562 (75/88/124)
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    (2001) Xizhao Wang(*), DS Yeung, ECC Tsang. A comparative study on heuristic algorithms for generating fuzzy decision trees. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, April 2001, 31(2): 215-226, doi: https://doi.org/10.1109/3477.915344 (95/99/180)
  • Elsevier
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    (2021) Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng and Xizhao Wang(*). A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. Neurocomputing. Accepted in November 2021 (0/0/0)
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    (2021) Salim Rezvani, Xizhao Wang(*). Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines. Information Sciences. July 2021, 578:659–682, doi: https://doi.org/10.1016/j.ins.2021.07.010 (1/1/1)
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    (2021) Yichao He, Xizhao Wang(*). Group theory-based optimization algorithm for solving knapsack problems. Knowledge-Based Systems. August 2021, 219: 104445, doi: https://doi.org/10.1016/j.knosys.2018.07.045 (11/12/18)
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    (2020) Kai Zhang, Jianming Zhan(*), Xizhao Wang. TOPSIS-WAA method based on a covering-based fuzzy rough set: an application to rating problem. Information Science, October 2020, 539: 397-421, doi: https://doi.org/10.1016/j.ins.2020.06.009 (25/26/30)
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    (2020) Jafar Gholami, Farhad Pourpanah, Xizhao Wang(*), Feature selection based on improved binary global harmony search for data classification. Applied Soft Computing, August 2020, 93: 106402, doi: https://doi.org/10.1016/j.asoc.2020.106402 (14/14/19)
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    (2019)Peng Ni, Suyun Zhao(*), Xizhao Wang, Hong Chen, Cuiping Li. PARA: A Positive-region based Attribute Reduction Accelerator. Information Science, November 2019, 503: 533-550, doi: https://doi.org/10.1016/j.ins.2019.07.038 (12/13/16)
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    (2020) Xinlei Zhou, Xizhao Wang(*), Cong Hu, Ran Wang. An analysis on the relationship between uncertainty and misclassification rate of classifiers. Information Sciences, October 2020, 535: 16-27, doi: https://doi.org/10.1016/j.ins.2020.05.059 (1/1/3)
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    (2020) Peng Ni, Suyun Zhao(*), Xizhao Wang, Hong Chen, Cuiping Li, Eric C.C. Tsang. Incremental Feature Selection Based on Fuzzy Rough Sets. Information Sciences, October 2020, 536: 185-204, doi: https://doi.org/10.1016/j.ins.2020.04.038 (10/10/15)
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    (2020) Yuxuan Luo, Xizhao Wang(*), Weipeng Cao. A Novel Dataset-Specific Feature Extractor for Zero-Shot Learning. Neurocomputing, May 2020, 391:74-82, doi: https://doi.org/10.1016/j.neucom.2020.01.069 (4/4/6)
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    (2016) Junhai Zhai(*), Xizhao Wang, Xiaohe Pang. Voting-based Instance Selection from Large Data Sets with MapReduce and Random Weight Networks. Information Sciences, November 2016, 367: 1066–1077, doi: https://doi.org/10.1016/j.ins.2016.07.026 (34/38/43)
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    (2016) Yi-Chao He, Xi-zhao Wang(*), Yu-Lin He, Shu-Liang Zhao, Wen-Bin Li. Exact and approximate algorithms for discounted {0-1} knapsack problem. Information Sciences, November 2016, 369: 634–647, doi: https://doi.org/10.1016/j.ins.2016.07.03 (22/34/37)
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    (2016) Yu-Lin He, Xi-zhao Wang(*), Joshua Zhexue Huang, Fuzzy nonlinear regression analysis using a random weight network, Information Sciences, October 2016, 364: 222-240, doi: https://doi.org/10.1016/j.ins.2016.01.037 (98/98/113)
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    (2016) Huanyu Zhao, Zhaowei Dong, Tongliang Li(*), Xizhao Wang, Chaoyi Pang. Segmenting time series with connected lines under maximum error bound. Information Sciences, June 2016, 345:1-8, doi: https://doi.org/10.1016/j.ins.2015.09.017 (14/15/19)
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    (2015) Yu-lin He(*), James N.K. Liu, Yan-xing Hu, Xi-zhao Wang. OWA operator based link prediction ensemble for social network. Expert Systems with Applications, January 2015, 42: 21-50, doi: https://doi.org/10.1016/j.eswa.2014.07.018 (92/104/113)
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    (2015) Xi-zhao Wang(*), Zhe-Xue Huang. Editorial: Uncertainty in learning from big data. Fuzzy Sets and Systems, January 2015, 258: 1-4, doi: https://doi.org/10.1016/j.fss.2014.10.010 (16/16/28)
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    (2015) Shuxia Lu(*), Xi-zhao Wang, Guiqiang Zhanga and Xu Zhoua. Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine. Intelligent Data Analysis, Augest 2015, 19(4): 743–760, doi: https://doi.org/10.3233/IDA-150743 (67/70/77)
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    (2014) Yulin He(*), Ran Wang, Sam Kwong, Xizhao Wang. Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. Information Sciences, February 2014, 259(3):252-268, doi: https://doi.org/10.1016/j.ins.2013.09.003 (46/55/62)
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    (2014) Aimin Fu, Xizhao Wang, Yulin He(*), Laisheng Wang. A study on residence error of training an extreme learning machine and its application to evolutionary algorithms. Neurocomputing, December 2014, 146(1): 75-82, doi: https://doi.org/10.1016/j.neucom.2014.04.067 (15/16/17)
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    (2014) Hongyan Ji, Xizhao Wang(*), Yulin He, Wenliang Li. A study on relationships between heuristics and optimal cuts in decision tree induction. Computers and Electrical Engineering, July 2014, 40: 1429-1438, doi: https://doi.org/10.1016/j.compeleceng.2013.11.030 (1/1/2)
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    (2013) Xizhao Wang(*), Qingyan Shao, Miao Qing, Junhai Zhai. Architecture selection for networks trained with extreme learning machine using localized generalization error model. Neurocomputing, February 2013, 102: 3-9, doi: https://doi.org/10.1016/j.neucom.2011.11053 (74/76/102)
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    (2012) Qiang Hua(*), Lijie Bai, Xizhao Wang. Local similarity and diversity preserving discriminant projection for face and handwriting digits recognition. NeuroComputing, June 2012, 86:150-157, doi: https://doi.org/10.1016/j.neucom.2012.01.031 (18/19/19)
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