目录

录用待出版

期刊论文
  • Wei Tang, Shixiang Wan, Zhen Yang, Andrew E Teschendorff and Quan Zou. Tumor origin detection with tissue-specific miRNA and DNA methylation markers. Bioinformatics. 2017.
  • Linhao Li and Qinghua Hu. Optimized high order product quantization for approximate nearest neighbors search. Frontiers of Computer Science. 2017.
  • Jianjun Lei, Bo Peng, Changqing Zhang, Xuguang Mei, Xiaochun Cao, Xiaoting Fan and Xuelong Li. Shape-Preserving Object Depth Control for Stereoscopic Images. IEEE Transactions on Circuits and Systems for Video Technology. PP(99): 1–1, 2017.
  • Linhao Li, Qinghua Hu, Yahong Han and Xin Li. Distribution Sensitive Product Quantization. IEEE Transactions on Circuits and Systems for Video Technology. PP(99): 1–1, 2017.
  • Yucan Zhou, Yongzhen Huang, Qinghua Hu and Liang Wang. Kernel Based Semantic Hashing for Gait Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. PP(99): 1–1, 2017.
  • Jianhua Dai, Hu Hu, Qinghua Hu, Wei Huang, Nenggan Zheng and Liang Liu. Locally Linear Approximation Approach for Incomplete Data. IEEE Transactions on Cybernetics. PP(99): 1–13, 2017.
  • Kun Zhan, Changqing Zhang, Junpeng Guan and Junsheng Wang. Graph Learning for Multi-view Clustering. IEEE Transactions on Cybernetics. PP(99): 1–9, 2017.
  • Jianhua Dai, Qinghua Hu, Hu Hu and Debiao Huang. Neighbor inconsistent pair selection for attribute reduction by rough set approach. IEEE Transactions on Fuzzy Systems. PP(99): 1–1, 2017.
  • Qinghua Hu, Lingjun Zhang, Yucan Zhou and Witold Pedrycz. Large-scale multi-modality attribute reduction with multi-kernel fuzzy rough sets. IEEE Transactions on Fuzzy Systems. PP(99): 1–1, 2017.
  • Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen and Yuhua Qian. Feature selection based on neighborhood discrimination index. IEEE Transactions on Neural Networks and Learning Systems. 2017.
  • Leyi Wei, Pengwei Xing, Gaotao Shi, Zhi-Liang Ji and Quan Zou. Fast prediction of protein methylation sites using a sequence-based feature selection technique. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2017.
会议论文
  • Shirui Luo, Changqing Zhang, Wei Zhang and Xiaochun Cao. Consistent and Specific Multi-view Subspace Clustering. In: AAAI. 2018.
  • Bo Wang, Youjiang Xu, Yahong Han and Richang Hong. Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents. In: AAAI. 2018.
  • Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu and Xiaobo Wang. Latent Semantic Aware Multi-view Multi-label Classification. In: AAAI. 2018.
  • Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen and Dinggang Shen. Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. In: AAAI. 2018.
  • Nan Song, Xianglei Zhu and Yahong Han. Joint Deep Learning and Gaussian Representation for Person Re-identification. In: ICIMCS. 2017.

2018

期刊论文
  • Shenglei Pei and Qinghua Hu. Partially monotonic decision trees. Information Sciences. 424: 104–117, 2018.
  • Pengfei Zhu, Qian Xu, Qinghua Hu and Changqing Zhang. Co-regularized unsupervised feature selection. Neurocomputing. 275: 2855–2863, 2018.
  • Jianqing Liang, Qinghua Hu, Pengfei Zhu and Wenwu Wang. Efficient multi-modal geometric mean metric learning. Pattern Recognition. 75: 188–198, 2018.
  • Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang and Hong Zhao. Multi-label feature selection with missing labels. Pattern Recognition. 74: 488–502, 2018.

2017

期刊论文
  • Yun Wang, Qinghua Hu, Deyu Meng and Pengfei Zhu. Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model. Applied Energy. 208: 1097–1112, 2017.
  • Leyi Wei, Pengwei Xing, Jiancang Zeng, JinXiu Chen, Ran Su and Fei Guo. Improved prediction of protein–protein interactions using novel negative samples, features, and an ensemble classifier. Artificial intelligence in medicine. 83: 67–74, 2017.
  • Leyi Wei, Shixiang Wan, Jiasheng Guo and Kelvin KL Wong. A novel hierarchical selective ensemble classifier with bioinformatics application. Artificial intelligence in medicine. 83: 82–90, 2017.
  • Leyi Wei, Jijun Tang and Quan Zou. SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides. BMC Genomics. 18(7): 1–11, 2017.
  • Chang Tang, Pichao Wang, Changqing Zhang and Wanqing Li. Salient Object Detection via Weighted Low Rank Matrix Recovery. IEEE Signal Processing Letters. 24(4): 490–494, 2017.
  • Jianhua Dai, Qinghua Hu, Jinghong Zhang, Hu Hu and Nenggan Zheng. Attribute selection for partially labeled categorical data by rough set approach. IEEE Transactions on Cybernetics. 47(9): 2460–2471, 2017.
  • Jianguang Zhang, Yahong Han, Jinhui Tang, Qinghua Hu and Jianmin Jiang. Semi-Supervised Image-to-Video Adaptation for Video Action Recognition. IEEE Transactions on Cybernetics. 47(4): 960–973, 2017.
  • Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li and Xindong Wu. Streaming Feature Selection for Multi-label Learning Based on Fuzzy Mutual Information. IEEE Transactions on Fuzzy Systems. 25(6): 1491–1507, 2017.
  • Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian and Yaojin Lin. A fitting model for feature selection with fuzzy rough sets. IEEE Transactions on Fuzzy Systems. 25(4): 741–753, 2017.
  • Liping Jing, Chenyang Shen, Liu Yang, Jian Yu and Michael K. Ng. Multi-Label Classification by Semi-Supervised Singular Value Decomposition. IEEE Transactions on Image Processing. 26(10): 4612–4625, 2017.
  • Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu and Xiaochun Cao. Flexible multi-view simensionality co-reduction. IEEE Transactions on Image Processing. 26(2): 648–659, 2017.
  • Jianjun Lei, Min Wu, Changqing Zhang, Feng Wu, Nam Ling and Chunping Hou. Depth-Preserving Stereo Image Retargeting Based on Pixel Fusion. IEEE Transactions on Multimedia. 19(7): 1442–1453, 2017.
  • Leyi Wei, Pengwei Xing, Jijun Tang and Quan Zou. PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only. IEEE transactions on nanobioscience. 16(4): 240–247, 2017.
  • Pengfei Zhu, Wencheng Zhu, Weizhi Wang, Wangmeng Zuo and Qinghua Hu. Non-convex regularized self-representation for unsupervised feature selection. Image and Vision Computing. 60: 22–29, 2017.
  • Jianhua Dai, Huifeng Han, Xiaohong Zhang, Maofu Liu, Shuping Wan, Jun Liu and Zhenli Lu. Catoptrical rough set model on two universes using granule-based definition and its variable precision extensions. Information Sciences. 390: 70–81, 2017.
  • Leyi Wei, Jijun Tang and Quan Zou. Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. Information Sciences. 384: 135–144, 2017.
  • Zhichao Peng, Qinghua Hu and Jianwu Dang. Multi-kernel SVM based depression recognition using social media data. International Journal of Machine Learning and Cybernetics. 1–15, 2017.
  • Leyi Wei, PengWei Xing, Ran Su, Gaotao Shi, Zhanshan Sam Ma and Quan Zou. CPPred-RF: a sequence-based predictor for identifying cell-penetrating peptides and their uptake efficiency. Journal of proteome research. 16(5): 2044–2053, 2017.
  • Limin Jiang, Zhijun Liao, Ran Su and Leyi Wei. Improved Identification of Cytokines Using Feature Selection Techniques. Letters in Organic Chemistry. 14(9): 632–641, 2017.
  • Kaiyang Qu, Ke Han, Song Wu, Guohua Wang and Leyi Wei. Identification of DNA-Binding Proteins Using Mixed Feature Representation Methods. Molecules. 22(10): 1602, 2017.
  • Liu Yang, Liping Jing, Bo Liu and Jian Yu. Common latent space identification for heterogeneous co-transfer clustering. Neurocomputing. 269: 29–39, 2017.
  • Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang and Wangmeng Zuo. Subspace clustering guided unsupervised feature selection. Pattern Recognition. 66: 364–374, 2017.
  • Pengwei Xing, Ran Su, Fei Guo and Leyi Wei. Identifying N 6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine. Scientific reports. 7: 46757, 2017.
  • Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu and Jianwu Dang. Twitter summarization with social-temporal context. World Wide Web-internet & Web Information Systems. 20(2): 1–24, 2017.
  • 杨柳, 于剑, 刘烨 and 詹德川. 面向认知的多源数据学习理论和算法研究进展. 软件学报. 28(11): 2971–2991, 2017.
  • 齐忍, 朱鹏飞 and 梁建青. 混杂数据的多核几何平均度量学习. 软件学报. 28(11): 2992-3001, 2017.
会议论文
  • Ziwei Yang, Yahong Han and Zheng Wang. Catching the Temporal Regions-of-Interest for Video Captioning. In: ACMMM. 146–153, 2017.
  • Ziwei Yang, Youjiang Xu, Huiyun Wang, Bo Wang and Yahong Han. Multirate Multimodal Video Captioning. In: ACMMM. 1877–1882, 2017.
  • Hua Zhang, Rui Wang, Changqing Zhang and Xiaochun Cao. LEAF: Latent Extended Attribute Features Discovery for Visual Classification. In: ACMMM. 979–987, 2017.
  • Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang and Stan Z. Li. Exclusivity-Consistency Regularized Multi-view Subspace Clustering. In: CVPR. 1–9, 2017.
  • Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu and Xiaochun Cao. Latent multi-view subspace clustering. In: CVPR. 4333–4341, 2017.
  • Guangxia Wang, Changqing Zhang, Pengfei Zhu and Qinghua Hu. Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization. In: ICANN. 10614: 340–348, 2017.
  • Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian and Jiye Liang. Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. In: ICDM. 515–524, 2017.
  • Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu and Changqing Zhang. Unsupervised feature selection via manifold regularized self-representation. In: ICIP. 2017.
  • Youjiang Xu, Shichao Zhao, Qinghua Hu, Yahong Han and Fei Wu. Top attention in line with time: a light-weight strategy. In: ICME. 295–300, 2017.
  • Ziwei Yu, Changqing Zhang, Qinghua Hu and Pengfei Zhu. Indenpendence regularized multi-label ensemble. In: ICME. 853–858, 2017.
  • Qi Hu, Pengfei Zhu, Changqing Zhang and Qinghua Hu. Multi-view Label Space Dimension Reduction. In: ICONIP. 10634: 248–258, 2017.
  • Jirui Yuan, Wenya Ma, Pengfei Zhu and Karen Egiazarian. Robust Deep Face Recognition with Label Noise. In: ICONIP. 10635: 593–602, 2017.
  • Hong Zhao, Pengfei Zhu, Ping Wang and Qinghua Hu. Hierarchical Feature Selection with Recursive Regularization. In: IJCAI. 3483–3489, 2017.
  • Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue and Weiping Wang. Generalization Analysis for Ranking Using Integral Operator. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.. 2273–2279, 2017.
  • Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue and Weiping Wang. Infinite Kernel Learning: Generalization Bounds and Algorithms. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.. 2280–2286, 2017.

2016

期刊论文
  • Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinkun Chen and Jie Duan. Multi-label feature selection based on neighborhood mutual information. Applied Soft Computing. 38(C): 244–256, 2016.
  • Qinghua Hu, Yun Wang, Zongxia Xie, Pengfei Zhu and Daren Yu. On estimating uncertainty of wind energy with mixture of distributions. Energy. 112: 935–962, 2016.
  • Dai Jianhua, Hu Hu, Guojie Zheng, Qinghua Hu, Huifeng Han and Hong Shi. Attribute reduction in interval-valued information systems based on information entropies. Frontiers of Information Technology & Electronic Engineering. 17(9): 919–928, 2016.
  • Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao and Chunping Hou. Saliency detection for stereoscopic images based on depth confidence analysis and multiple cues fusion. IEEE Signal Processing Letters. 23(6): 819–823, 2016.
  • Linhao Li, Ping Wang, Qinghua Hu and Sijia Cai. efficient background modeling based on sparse representation and outlier iterative removal. IEEE Transactions on Circuits & Systems for Video Technology. 26(2): 278–289, 2016.
  • Shichao Zhao, Yanbin Liu, Yahong Han, Richang Hong, Qinghua Hu and Qi Tian. Pooling the convolutional layers in deep ConvNets for video action recognition. IEEE Transactions on Circuits & Systems for Video Technology. PP(99): 1–1, 2016.
  • Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu and Eric C. C. Tsang. Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE transactions on cybernetics. 46(12): 3073–3085, 2016.
  • Lizhong Ding and Shizhong Liao. An approximate approach to automatic kernel selection. IEEE Transactions on Cybernetics. 47(3): 1–12, 2016.
  • Jianqing Liang, Qinghua Hu, Wenwu Wang and Yahong Han. Semi-supervised online multi-kernel similarity learning for image retrieval. IEEE Transactions on Multimedia. 19(5): 1077–1089, 2016.
  • Liu Yang, Liping Jing, Jian Yu and Michael K. Ng. Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. IEEE Transactions on Neural Networks and Learning Systems. 27(11): 2187–2200, 2016.
  • Qinghua Hu, Shiguang Zhang, Man Yu and Zongxia Xie. Short-term wind speed or power forecasting with heteroscedastic support vector regression. IEEE Transactions on Sustainable Energy. 7(1): 241–249, 2016.
  • Liu Yang, Liping Jing, Michael K. Ng and Jian Yu. A discriminative and sparse topic model for image classification and annotation. Image and Vision Computing. 51: 22–35, 2016.
  • Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu and Bo Wang. Multi-document summarization via group sparse learning. Information Sciences. 349: 12–24, 2016.
  • Yaojin Lin, Qinghua Hu, Jia Zhang and Xindong Wu. Multi-label feature selection with streaming labels. Information Sciences. 372: 256–275, 2016.
  • Hong Zhao, Ping Wang and Qinghua Hu. Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence. Information Sciences. 366: 134–149, 2016.
  • Pengfei Zhu, Qinghua Hu, Yahong Han, Changqing Zhang and Yong Du. Combining neighborhood separable subspaces for classification via sparsity regularized optimization. Information Sciences. 370–371: 270–287, 2016.
  • Jianhua Dai, Guojie Zheng, Qinghua Hu, Maofu Liu and Huashi Su. Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making. Journal of Intelligent and Fuzzy Systems. 31(3): 1341–1353, 2016.
  • Jianhua Dai, Huifeng Han, Qinghua Hu and Maofu Liu. Discrete particle swarm optimization approach for cost sensitive attribute reduction. Knowledge-Based Systems. 102(C): 116–126, 2016.
  • Hong Shi, Yin Li, Yahong Han and Qinghua Hu. Cluster structure preserving unsupervised feature selection for multi-view tasks. Neurocomputing. 175(Part A): 686–697, 2016.
  • Xiao Zhang and Shizhong Liao. Tensor completion via multi-shared-modes canonical correlation analysis. Neurocomputing. 205: 106–115, 2016.
  • Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu and Yalou Huang. Convolutional neural random fields for action recognition. Pattern Recognition. 59: 213–224, 2016.
  • Qinghua Hu, Rujia Zhang and Yucan Zhou. Transfer learning for short-term wind speed prediction with deep neural networks. Renewable Energy. 85: 83–95, 2016.
  • 刘勇 and 廖士中. 基于积分算子空间显式描述的框架核选择方法. 中国科学;信息科学. 46(2): 165–178, 2016.
  • 冯昌 and 廖士中. 随机傅里叶特征空间中高斯核支持向量机模型选择. 计算机研究与发展. 53(9): 1971–1978, 2016.
会议论文
  • Pengfei Zhu, Qinghua Hu, Changqing Zhang and Wangmeng Zuo. Coupled dictionary learning for unsupervised feature selection. In: AAAI. 2422–2428, 2016.
  • Jing Pan, Yajun Yang, Qinghua Hu and Hong Shi. A label inference method based on maximal entropy random walk over graphs. In: APWEB. 506–518, 2016.
  • 段兴义 and 贺瑞芳. 基于时序和用户可信度分析的社会突发话题检测. In: CCIR. 2016.
  • Qian Xu, Pengfei Zhu, Qinghua Hu and Changqing Zhang. Robust multi-label feature selection with missing labels. In: CCPR. 752–765, 2016.
  • Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang and Xiaochun Cao. SketchNet: sketch classification with web images. In: CVPR. 1105–1113, 2016.
  • Hong Shi, Man Yu and Qinghua Hu. Stacked-locally weighted ensemble learning for wind speed prediction. In: ICMLC. 52–56, 2016.
  • Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng and Qinghua Hu. A self-representation induced classifier. In: IJCAI. 2442–2448, 2016.
  • Huaxi Huang, Changqing Zhang, Qinghua Hu and Pengfei Zhu. Multi-view representative and informative induced active learning. In: PRICAI. 139–151, 2016.
  • Wencheng Zhu, Pengfei Zhu, Qinghua Hu and Changqing Zhang. Set to set visual tracking. In: PRICAI. 700–712, 2016.
  • Jianhua Dai, Huifeng Han, Hu Hu, Qinghua Hu, Jinghong Zhang and Wentao Wang. DualPOS: a semi-supervised attribute selection approach for symbolic data based on rough set theory. In: WAIM. 392–402, 2016.
  • Jianhua Dai, Huifeng Han, Hu Hu, Qinghua Hu, Bingjie Wei and Yuejun Yan. Semi-supervised clustering based on artificial bee colony algorithm with kernel strategy. In: WAIM. 403–414, 2016.

2015

期刊论文
  • Quan Zou, Qinghua Hu, Maozu Guo and Guohua Wang. HAlign: fast multiple similar DNA/RNA sequence alignment based on the centre star strategy. Bioinformatics. 31(15): 2475–2481, 2015.
  • Xingxing Wei, Zhiqiang Tao, Changqing Zhang and Xiaochun Cao. Structured saliency fusion based on Dempster-Shafer theory. IEEE Signal Processing Letters. 22(9): 1345–1349, 2015.
  • Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu and Hassan Foroosh. Constrained multi-view video face clustering. IEEE Transactions on Image Processing. 24(11): 4381–4393, 2015.
  • Yahong Han, Yi Yang, Fei Wu and Richang Hong. Compact and discriminative descriptor inference using multi-cues. IEEE Transactions on Image Processing. 24(12): 5114–5126, 2015.
  • Liu Yang, Liping Jing and Michael K. Ng. Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning. IEEE Transactions on Image Processing. 24(12): 4701–4714, 2015.
  • Lei Zhao, Qinghua Hu and Wenwu Wang. Heterogeneous feature selection with multi-modal deep neural networks and sparse group lasso. IEEE Transactions on Multimedia. 17(11): 1936–1948, 2015.
  • Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo and Qi Tian. Saliency-aware nonparametric foreground annotation based on weakly labeled data. IEEE Transactions on Neural Networks & Learning Systems. 27(6): 1253–1265, 2015.
  • Yahong Han, Yi Yang, Yan Yan, Zhigang Ma, Nicu Sebe and Xiaofang Zhou. Semisupervised feature selection via spline regression for video semantic recognition. IEEE Transactions on Neural Networks and Learning Systems. 26(2): 252–264, 2015.
  • Zhihua Chen, Wangmeng Zuo, Qinghua Hu and Liang Lin. Kernel sparse representation for time series classification. Information Sciences. 292: 15–26, 2015.
  • Xiaohong Zhang, Jianhua Dai and Yucai Yu. On the union and intersection operations of rough sets based on various approximation spaces. Information Sciences. 292: 214–229, 2015.
  • Yaojin Lin, Qinghua Hu, Jinghua Liu and Jie Duan. Multi-label feature selection based on max-dependency and min-redundancy. Neurocomputing. 168: 92–103, 2015.
  • Lei Xu, Qinghua Hu, Edward Hung, Baowen Chen, Xu Tan and Changrui Liao. Large margin clustering on uncertain data by considering probability distribution similarity. Neurocomputing. 158: 81–89, 2015.
  • Shiguang Zhang, Qinghua Hu, Zongxia Xie and Jusheng Mi. Kernel ridge regression for general noise model with its application. Neurocomputing. 149: 836–846, 2015.
  • Yucan Zhou, Qinghua Hu, Jie Liu and Yuan Jia. Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition. Neurocomputing. 168: 408–417, 2015.
  • Shili Peng, Qinghua Hu, Yinli Chen and Jianwu Dang. Improved support vector machine algorithm for heterogeneous data. Pattern Recognition. 48(6): 2072–2083, 2015.
  • Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Qinghua Hu and Simon CK Shiu. Unsupervised feature selection by regularized self-representation. Pattern Recognition. 48(2): 438–446, 2015.
  • Changqing Zhang, Zhiqiang Tao, Xingxing Wei and Xiaochun Cao. A flexible framework of adaptive method selection for image saliency detection. Pattern Recognition Letters. 63: 66–70, 2015.
  • Xiaoxue Wang, Shuang An, Hong Shi and Qinghua Hu. Fuzzy rough decision trees for multi-label classification. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. 207–217, 2015.
会议论文
  • Yong Liu and Shizhong Liao. Eigenvalues ratio for kernel selection of kernel methods. In: AAAI. 2814–2820, 2015.
  • Liping Jing, Liu Yang, Jian Yu and M. K. Ng. Semi-supervised low-rank mapping learning for multi-label classification. In: CVPR. 1483–1491, 2015.
  • Jiangang Wu, Chang Feng, Peihuan Gao and Shizhong Liao. Parallel column subset selection of kernel matrix for scaling up support vector machines. In: ICA3PP. 226–239, 2015.
  • Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu and Xiaochun Cao. Low-rank tensor constrained multiview subspace clustering. In: ICCV. 1582–1590, 2015.
  • Guang Li, Shubo Ma and Yahong Han. Summarization-based video caption via deep neural networks. In: ICME. 1191–1194, 2015.
  • Yanbin Liu, Binbing Liao and Yahong Han. Discriminative multi-view feature selection and fusion. In: ICME. 1–6, 2015.
  • Chengju Zhou, Changqing Zhang, Huazhu Fu, Rui Wang and Xiaochun Cao. Multi-cue augmented face clustering. In: ICME. 1095–1098, 2015.
  • Xuxiao Wang, Hong Shi and Yucan Zhou. Automatic Chinese dialog acts recognition with multiple kernel learning. In: ICMLC. 2: 604–608, 2015.
  • Yahong Han and Guang Li. Describing images with hierarchical concepts and object class localization. In: ICMR. 251–258, 2015.
  • Lei Zhao, Qinghua Hu and Yucan Zhou. Heterogeneous features integration via semi-supervised multi-modal deep networks. In: ICONIP. 11–19, 2015.
  • Chang Feng, Qinghua Hu and Shizhong Liao. Random feature mapping with signed circulant matrix projection. In: IJCAI. 3490–3496, 2015.
  • Liping Jing, Peng Wang and Liu Yang. Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering. In: IJCAI. 1771–1777, 2015.
  • Yucan Zhou, Xiaowei Cui, Qinghua Hu and Yuan Jia. Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification. In: IJCNN. 1–8, 2015.
  • Liu Yang, Liping Jing and Jian Yu. Common Latent Space Identification for Heterogeneous Co-transfer Clustering. In: IScIDE. 9243: 395–406, 2015.
  • Jiangang Wu and Shizhong Liao. Accuracy-preserving and scalable column-based low-rank matrix approximation. In: KSEM. 236–247, 2015.
  • Chuan Liu and Shizhong Liao. Boosting via approaching optimal margin distribution. In: PAKDD. 684–695, 2015.

2014

期刊论文
  • Shuang An and Qinghua Hu. Fuzzy rough decision trees. Fundamenta Informaticae. 132(3): 381–399, 2014.
  • Changzhong Wang, Degang Chen and Qinghua Hu. Fuzzy information systems and their homomorphisms. Fuzzy Sets & Systems. 249(6): 128–138, 2014.
  • Xiaochun Cao, Xingxing Wei, Yahong Han and Dongdai Lin. Robust face clustering via tensor decomposition. IEEE Transactions on Cybernetics. 45(11): 2546–2557, 2014.
  • Yahong Han, Yi Yang, Zhigang Ma, Haoquan Shen, Nicu Sebe and Xiaofang Zhou. Image attribute adaptation. IEEE Transactions on Multimedia. 16(16): 1115–1126, 2014.
  • Qinghua Hu, Pengyu Su, Daren Yu and Jinfu Liu. Pattern-based wind speed prediction based on generalized principal component analysis. IEEE Transactions on Sustainable Energy. 5(3): 866–874, 2014.
  • Shuang An, Hong Shi, Qinghua Hu, Xiaoqi Li and Jianwu Dang. Fuzzy rough regression with application to wind speed prediction. Information Sciences. 282(5): 388–400, 2014.
  • Yahong Han, Jingjing Chen, Xiaochun Cao, Congfu Xu and Haoquan Shen. Feature selection with spatial path coding for multimedia analysis. Information Sciences. 281: 523–535, 2014.
  • Changzhong Wang, Qiang He, Degang Chen and Qinghua Hu. A novel method for attribute reduction of covering decision systems. Information Sciences. 254(5): 181–196, 2014.
  • Pengfei Zhu, Qinghua Hu, Wangmeng Zuo and Meng Yang. Multi-granularity distance metric learning via neighborhood granule margin maximization. Information Sciences. 282(282): 321–331, 2014.
  • Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu and Jiye Liang. Set-based granular computing: a lattice model. International Journal of Approximate Reasoning. 55(3): 834–852, 2014.
  • Weiwei Pan, Qinghua Hu, Yanping Song and Daren Yu. Feature selection for monotonic classification via maximizing monotonic dependency. International Journal of Computational Intelligence Systems. 7(3): 543–555, 2014.
  • Qinghua Hu, Leijun Li, Xiangqian Wu, Gerald Schaefer and Daren Yu. Exploiting diversity for optimizing margin distribution in ensemble learning. Knowledge-Based Systems. 67(3): 90–104, 2014.
  • Qinghua Hu, Shiguang Zhang, Zongxia Xie, Jusheng Mi and Jie Wan. Noise model based v-support vector regression with its application to short-term wind speed forecasting. Neural Networks. 57: 1–11, 2014.
  • Leijun Li, Qinghua Hu, Xiangqian Wu and Daren Yu. Exploration of classification confidence in ensemble learning. Pattern Recognition. 47(9): 3120–3131, 2014.
  • Ruifang He, Yang Zhang, Tuo Li and Qinghua Hu. Improved conditional random fields model with multi-trigger embedding for chinese event extraction. World Wide Web. 17(5): 1029–1049, 2014.
  • Yajun Yang, Jeffrey Xu Yu, Hong Gao, Jian Pei and Jianzhong Li. Mining most frequently changing component in evolving graphs. World Wide Web-Internet And Web Information Systems. 17(3): 351–376, 2014.
会议论文
  • Liu Yang, Liping Jing and Jian Yu. Heterogeneous co-transfer spectral clustering. In: RSKT. 352–363, 2014.

2012

期刊论文
  • Shuang An, Qinghua Hu, Daren Yu and Jinfu Liu. Soft minimum-enclosing-ball based robust fuzzy rough sets. Fundamenta Informaticae. 115(2–3): 189–202, 2012.
  • Gerald Schaefer, Qinghua Hu, Huiyu Zhou, James F Peters and Aboul Ella Hassanien. Rough c-means and fuzzy rough c-means for colour quantisation. Fundamenta Informaticae. 119(1): 113–120, 2012.
  • Yahong Han, Fei Wu, Dacheng Tao, Jian Shao, Yueting Zhuang and Jianmin Jiang. Sparse unsupervised dimensionality reduction for multiple view data. IEEE Transactions on Circuits & Systems for Video Technology. 22(10): 1485–1496, 2012.
  • Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo and Daren Yu. Feature selection for monotonic classification. IEEE Transactions on Fuzzy Systems. 20(1): 69–81, 2012.
  • Qinghua Hu, Lei Zhang, Shuang An, David Zhang and Daren Yu. On robust fuzzy rough set models. IEEE Transactions on Fuzzy Systems. 20(4): 636–651, 2012.
  • Yahong Han, Fei Wu, Qi Tian and Yueting Zhuang. Image annotation by input-output structural grouping sparsity. IEEE Transactions on Image Processing. 21(6): 3066–3079, 2012.
  • Qinghua Hu, Xunjian Che, Lei Zhang, David Zhang, Maozu Guo and Daren Yu. Rank entropy-based decision trees for monotonic classification. IEEE Transactions on Knowledge and Data Engineering. 24(11): 2052–2064, 2012.
  • Changzhong Wang, Degang Chen, Baiqing Sun and Qinghua Hu. Communication between information systems with covering based rough sets. Information Sciences. 216: 17–33, 2012.
  • Min Fan, Qinghua Hu and William Zhu. Feature selection with test cost constraint. International Journal of Approximate Reasoning. 55(1): 167–179, 2012.
  • Qinghua Hu, Weiwei Pan, Yanping Song and Daren Yu. Large-margin feature selection for monotonic classification. Knowledge-Based Systems. 31: 8–18, 2012.
  • Ning Li, Rui Zhou, Qinghua Hu and Xiaohang Liu. Mechanical fault diagnosis based on redundant second generation wavelet packet transform, neighborhood rough set and support vector machine. Mechanical Systems and Signal Processing. 28: 608–621, 2012.
  • Zongxia Xie, Yong Xu, Qinghua Hu and Pengfei Zhu. Margin distribution based bagging pruning. Neurocomputing. 85: 11–19, 2012.

2011

期刊论文
  • Zhiqiang Xu, Qinghua Hu and Mehrdad Ehsani. Estimation of effective wind speed for fixed-speed wind turbines based on frequency domain data fusion. IEEE Transactions on Sustainable Energy. 3(1): 57–64, 2011.
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