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Liyan Xiong, Xiangzheng Ling,Xiaohui Huang, Hong Tang, Weimin Yuan, Weichun Huang, A Sparse Connected Long Short-Term Memory with Sharing Weight for Time Series Prediction, Accepted to IEEE Access, 2020.（SCI 2区）
黄晓辉、王成、熊李艳、曾辉，一种集成簇内和簇间距离的加权k-means聚类方法，计算机学报，2019,42(12):2836-2848.（国内权威期刊）
Xiaofei Yang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaofeng Zhang, and Xiaohui Huang，Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net, IEEE Transactions on Geo-science and Remote Sensing. 57 (2019) 7209–7220.（SCI 2区）
Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang,Xiaohui Huangand Bowen Zhang, Road Detection via Deep Residual Dense U-Net,International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-7.(CCF C)
Shaokai Wang , Xutao Li , Yunming Ye, Shanshan Feng, Raymond Y. K. Lau,Xiaohui Huangand Xiaolin Du, Anchor Link Prediction across Attributed Networks via Network Embedding, Entropy, pp.1-13, 2019（SCI 3区）
Yang Xiaofei, Yunming Ye, Xutao Li, Raymond YK Lau, Xiaofeng Zhang, andXiaohui Huang. Hyperspectral image classification with deep learning models. IEEE Transactions on Geo-science and Remote Sensing 56.9 (2018): 5408-5423. (SCI 2区)
Xiaohui Huang,Xiaofei Yang, Junhui Zhao, Liyan Xiong, Yunming Ye, A New Weighting k-Means Type Clustering Framework with an L2-Norm Regularization, Knowledge-Based Systems, 151(2018), pp.165-179（SCI 2区）
Xiaohui Huang,Yunming Ye, Liyan Xiong, Raymond Y. K. Lau, Nan Jiang, Shaokai Wang, Time Series k-Means: A New k-Means Type Smooth Subspace Clustering for Time Series Data, Information Sciences, pp.1-13, 2016（SCI 2区）
Xiaohui Huang, Yunming Ye, Haijun. Zhang, Extending Kmeans-Type Algorithms by Integrating Intra-cluster Compactness and Inter-cluster Separation, Unsupervised Learning Algoithms, Springer Heidelberg, 2016.（Chapter）
Xiaohui Huang,Yunming Ye, Liyan Xiong, Shaokai Wang, and Xiaofei Yang,Clustering time-stamped data using multiple nonnegative matrices factorization,Knowledge-Based Systems. 114 (2016) 88–98. (SCI 2区)
Xiaohui. Huang,Xin. Fu, Yunming Ye, Liyan,Xiong, Shaokai Wang, and Xiaolin Du, Multiple Nonnegative Matrices Factorization Using Graphics Processing Unit, ICIC Express Letters, 2016,（EI期刊）
Liyan Xiong, Yin Lei, Weichun Huang,Xiaohui Huang, Maosheng Zhong, An estimation model for social relationship strength based on users' profiles, co-occurrence and interaction activities, Neurocomputing, vol.214, pp.927–934 2016. (SCI 2区)
Shaokai Wang, Yunming Ye, Xutao Li,Xiaohui Huang, Raymond Y.K.Lau, Semi-supervised Collective Classification in Multi-attribute Network Data, Neural Processing Letters, 2016.（SCI 3区）
Shaokai. Wang, Xutao. Li, Yunming Ye,Xiaohui. Huang, Yan. Li, Multi-Attribute and Relational Learning via Hypergraph Regularized Generative Model, Neurocomputing. (2016).(SCI 2区)
Xiaolin Du,Yunming Ye,Raymond Y. K. Lau,, Yueping. Li,Xiaohui Huang,Multi-opinion Ring: visualizing and predicting multiple opinion orientations in online social media[J]. Multimedia Tools & Applications, 2016, 75(12):1-28.(SCI)
Xiaohui Huang，Liyan Xiong，Juan Wang，Yunming Ye，Chuan Li，Parallel Weighting K-means Clustering Algorithm based on Graphics Processing Unit，Journal of Information and Computational Science，vol.21, no.8, 2015.（EI期刊）
Xiaohui Huang, Yunming Ye* and Haijun Zhang. Extensions of Kmeans-type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation. IEEE Transactions on Neural Networks and Learning Systems, vol.25, no.8, pp.1433-1446, 2014.(SCI 1区)
Xiaohui Huang, Yunming Ye*, Huifeng Guo, Yi Cai, Haijun Zhang, Yan Li. DSKmeans: A New Kmeans-type Approach to Discriminative Subspace Clustering. Knowledge-Based Systems, vol.70, pp.293-300, 2014. (SCI 2区)
Ge Song, Yunming Ye*, Xiaolin Du,Xiaohui Huang, and Shifu Bie. Short Text Classification: A Survey, Journal of Multimedia, 2014.(EI期刊)
Xiaohui Huang, Yunming Ye*, Xiaolin Du, Shengchun Deng. Short Text Clustering with Expanding Keywords through Concept Graph. Journal of Computational Information Systems, vol.9, no.21, pp.8649-8657, 2013.（EI期刊）
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