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Author search results
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- Joshua Zhexue Huang
aka: Zhexue Huang
University of Hong Kong
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Publication search results
found 276 matches
- 2025
- Yongda Cai, Mohammad Sultan Mahmud, Jingsheng Xu, Xudong Sun, Joshua Zhexue Huang:
Spectral ensemble clustering with doubly stochastic co-association matrix. Inf. Sci. 686: 121314 (2025) - 2024
- Yongda Cai, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun:
Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization. Appl. Soft Comput. 167: 112256 (2024) - Yulin He, Jin Yang, Yingchao Cheng, Xueqin Du, Joshua Zhexue Huang:
A novel member enhancement-based clustering ensemble algorithm. Concurr. Comput. Pract. Exp. 36(10) (2024) - Jia-Qi Chen, Yu-Lin He, Yingchao Cheng, Philippe Fournier-Viger, Joshua Zhexue Huang:
A multiple kernel-based kernel density estimator for multimodal probability density functions. Eng. Appl. Artif. Intell. 132: 107979 (2024) - Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang:
Non-MapReduce computing for intelligent big data analysis. Eng. Appl. Artif. Intell. 129: 107648 (2024) - Jianfei Yin, Anyang Zhong, Xiaomian Xiao, Ruili Wang, Joshua Zhexue Huang:
An asset subset-constrained minimax optimization framework for online portfolio selection. Expert Syst. Appl. 254: 124299 (2024) - Yulin He, Jiaqi Chen, Jiaxing Shen, Philippe Fournier-Viger, Joshua Zhexue Huang:
Density estimation-based method to determine sample size for random sample partition of big data. Frontiers Comput. Sci. 18(5) (2024) - Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García:
Clustering approximation via a fusion of multiple random samples. Inf. Fusion 101: 101986 (2024) - Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang:
CDFRS: A scalable sampling approach for efficient big data analysis. Inf. Process. Manag. 61(4): 103746 (2024) - Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang:
A scalable and flexible basket analysis system for big transaction data in Spark. Inf. Process. Manag. 61(2): 103577 (2024) - Yulin He, Xuan Lu, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel overlapping minimization SMOTE algorithm for imbalanced classification. Frontiers Inf. Technol. Electron. Eng. 25(9): 1266-1281 (2024) - Yu-Lin He, Jia-Yin Yu, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel and efficient risk minimisation-based missing value imputation algorithm. Knowl. Based Syst. 304: 112435 (2024) - 2023
- Yu-Lin He, Zhen-Hao Yuan, Joshua Zhexue Huang:
Random vector functional link network with subspace-based local connections. Appl. Intell. 53(2): 1567-1585 (2023) - Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang:
Survey of Distributed Computing Frameworks for Supporting Big Data Analysis. Big Data Min. Anal. 6(2): 154-169 (2023) - Yulin He, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang, Mianjie Li, Salman Salloum:
Observation points classifier ensemble for high-dimensional imbalanced classification. CAAI Trans. Intell. Technol. 8(2): 500-517 (2023) - Yulin He, Xu Li, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang, Salman Salloum:
A novel observation points-based positive-unlabeled learning algorithm. CAAI Trans. Intell. Technol. 8(4): 1425-1443 (2023) - Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Salman Salloum, Mohammad Sultan Mahmud:
A review of optimization methods for computation offloading in edge computing networks. Digit. Commun. Networks 9(2): 450-461 (2023) - Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Kaishun Wu:
An ensemble method for estimating the number of clusters in a big data set using multiple random samples. J. Big Data 10(1): 40 (2023) - Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Neal N. Xiong, Chengwen Luo:
An intelligent hybrid method: Multi-objective optimization for MEC-enabled devices of IoE. J. Parallel Distributed Comput. 171: 1-13 (2023) - Xuan Ye, Yulin He, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel correlation Gaussian process regression-based extreme learning machine. Knowl. Inf. Syst. 65(5): 2017-2042 (2023) - Kuanishbay Sadatdiynov, Laizhong Cui, Joshua Zhexue Huang:
Offloading dependent tasks in MEC-enabled IoT systems: A preference-based hybrid optimization method. Peer Peer Netw. Appl. 16(2): 657-674 (2023) - Yulin He, Xuan Ye, De-Fa Huang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets. IEEE Trans. Artif. Intell. 4(1): 182-196 (2023) - Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Alladoumbaye Ngueilbaye, Kaishun Wu:
Approximate Clustering Ensemble Method for Big Data. IEEE Trans. Big Data 9(4): 1142-1155 (2023) - Alladoumbaye Ngueilbaye, Joshua Zhexue Huang, Mehak Khan, Hongzhi Wang:
Data quality model for assessing public COVID-19 big datasets. J. Supercomput. 79(17): 19574-19606 (2023) - Yulin He, Xuan Ye, Laizhong Cui, Philippe Fournier-Viger, Chengwen Luo, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. IEEE Trans. Netw. Sci. Eng. 10(3): 1283-1296 (2023) - Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng:
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition. IEEE Big Data 2023: 710-717 - Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang:
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract). ICDE 2023: 3875-3876 - 2022
- Simin Yu, Kuntian Zhang, Chuan Xiao, Joshua Zhexue Huang, Mark Junjie Li, Makoto Onizuka:
HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous samples. Comput. Vis. Image Underst. 214: 103314 (2022) - Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
A novel dependency-oriented mixed-attribute data classification method. Expert Syst. Appl. 199: 116782 (2022) - Yongda Cai, Joshua Zhexue Huang, Jianfei Yin:
A new method to build the adaptive k-nearest neighbors similarity graph matrix for spectral clustering. Neurocomputing 493: 191-203 (2022)
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