录用待出版


期刊论文
  • Wei Tang, Shixiang Wan, Zhen Yang, Andrew E Teschendorff and Quan ZouTumor origin detection with tissue-specific miRNA and DNA methylation markersBioinformatics. 2017.
  • Linhao Li and Qinghua HuOptimized high order product quantization for approximate nearest neighbors searchFrontiers of Computer Science. 2017.
  • Jianjun Lei, Bo Peng, Changqing Zhang, Xuguang Mei, Xiaochun Cao, Xiaoting Fan and Xuelong LiShape-Preserving Object Depth Control for Stereoscopic ImagesIEEE Transactions on Circuits and Systems for Video Technology. PP(99): 1–1, 2017.
  • Linhao Li, Qinghua Hu, Yahong Han and Xin LiDistribution Sensitive Product QuantizationIEEE Transactions on Circuits and Systems for Video Technology. PP(99): 1–1, 2017.
  • Yucan Zhou, Yongzhen Huang, Qinghua Hu and Liang WangKernel Based Semantic Hashing for Gait RetrievalIEEE 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 LiuLocally Linear Approximation Approach for Incomplete DataIEEE Transactions on Cybernetics. PP(99): 1–13, 2017.
  • Kun Zhan, Changqing Zhang, Junpeng Guan and Junsheng WangGraph Learning for Multi-view ClusteringIEEE Transactions on Cybernetics. PP(99): 1–9, 2017.
  • Jianhua Dai, Qinghua Hu, Hu Hu and Debiao HuangNeighbor inconsistent pair selection for attribute reduction by rough set approachIEEE Transactions on Fuzzy Systems. PP(99): 1–1, 2017.
  • Qinghua Hu, Lingjun Zhang, Yucan Zhou and Witold PedryczLarge-scale multi-modality attribute reduction with multi-kernel fuzzy rough setsIEEE Transactions on Fuzzy Systems. PP(99): 1–1, 2017.
  • Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen and Yuhua QianFeature selection based on neighborhood discrimination indexIEEE Transactions on Neural Networks and Learning Systems. 2017.
  • Leyi Wei, Pengwei Xing, Gaotao Shi, Zhi-Liang Ji and Quan ZouFast prediction of protein methylation sites using a sequence-based feature selection techniqueIEEE/ACM Transactions on Computational Biology and Bioinformatics. 2017.
会议论文
  • Shirui Luo, Changqing Zhang, Wei Zhang and Xiaochun CaoConsistent and Specific Multi-view Subspace ClusteringIn: AAAI. 2018.
  • Bo Wang, Youjiang Xu, Yahong Han and Richang HongMovie Question Answering: Remembering the Textual Cues for Layered Visual ContentsIn: AAAI. 2018.
  • Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu and Xiaobo WangLatent Semantic Aware Multi-view Multi-label ClassificationIn: AAAI. 2018.
  • Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen and Dinggang ShenMulti-Layer Multi-View Classification for Alzheimer's Disease DiagnosisIn: AAAI. 2018.
  • Nan Song, Xianglei Zhu and Yahong HanJoint Deep Learning and Gaussian Representation for Person Re-identificationIn: ICIMCS. 2017.

2018


期刊论文
  • Shenglei Pei and Qinghua HuPartially monotonic decision treesInformation Sciences. 424: 104–117, 2018.
  • Pengfei Zhu, Qian Xu, Qinghua Hu and Changqing ZhangCo-regularized unsupervised feature selectionNeurocomputing. 275: 2855–2863, 2018.
  • Jianqing Liang, Qinghua Hu, Pengfei Zhu and Wenwu WangEfficient multi-modal geometric mean metric learningPattern Recognition. 75: 188–198, 2018.
  • Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang and Hong ZhaoMulti-label feature selection with missing labelsPattern Recognition. 74: 488–502, 2018.

2017


期刊论文
  • Yun Wang, Qinghua Hu, Deyu Meng and Pengfei ZhuDeterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression modelApplied Energy. 208: 1097–1112, 2017.
  • Leyi Wei, Pengwei Xing, Jiancang Zeng, JinXiu Chen, Ran Su and Fei GuoImproved prediction of protein–protein interactions using novel negative samples, features, and an ensemble classifierArtificial intelligence in medicine. 83: 67–74, 2017.
  • Leyi Wei, Shixiang Wan, Jiasheng Guo and Kelvin KL WongA novel hierarchical selective ensemble classifier with bioinformatics applicationArtificial intelligence in medicine. 83: 82–90, 2017.
  • Leyi Wei, Jijun Tang and Quan ZouSkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptidesBMC Genomics. 18(7): 1–11, 2017.
  • Chang Tang, Pichao Wang, Changqing Zhang and Wanqing LiSalient Object Detection via Weighted Low Rank Matrix RecoveryIEEE Signal Processing Letters. 24(4): 490–494, 2017.
  • Jianhua Dai, Qinghua Hu, Jinghong Zhang, Hu Hu and Nenggan ZhengAttribute selection for partially labeled categorical data by rough set approachIEEE Transactions on Cybernetics. 47(9): 2460–2471, 2017.
  • Jianguang Zhang, Yahong Han, Jinhui Tang, Qinghua Hu and Jianmin JiangSemi-Supervised Image-to-Video Adaptation for Video Action RecognitionIEEE Transactions on Cybernetics. 47(4): 960–973, 2017.
  • Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li and Xindong WuStreaming Feature Selection for Multi-label Learning Based on Fuzzy Mutual InformationIEEE Transactions on Fuzzy Systems. 25(6): 1491–1507, 2017.
  • Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian and Yaojin LinA fitting model for feature selection with fuzzy rough setsIEEE Transactions on Fuzzy Systems. 25(4): 741–753, 2017.
  • Liping Jing, Chenyang Shen, Liu Yang, Jian Yu and Michael K. NgMulti-Label Classification by Semi-Supervised Singular Value DecompositionIEEE Transactions on Image Processing. 26(10): 4612–4625, 2017.
  • Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu and Xiaochun CaoFlexible multi-view simensionality co-reductionIEEE Transactions on Image Processing. 26(2): 648–659, 2017.
  • Jianjun Lei, Min Wu, Changqing Zhang, Feng Wu, Nam Ling and Chunping HouDepth-Preserving Stereo Image Retargeting Based on Pixel FusionIEEE Transactions on Multimedia. 19(7): 1442–1453, 2017.
  • Leyi Wei, Pengwei Xing, Jijun Tang and Quan ZouPhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information onlyIEEE transactions on nanobioscience. 16(4): 240–247, 2017.
  • Pengfei Zhu, Wencheng Zhu, Weizhi Wang, Wangmeng Zuo and Qinghua HuNon-convex regularized self-representation for unsupervised feature selectionImage and Vision Computing. 60: 22–29, 2017.
  • Jianhua Dai, Huifeng Han, Xiaohong Zhang, Maofu Liu, Shuping Wan, Jun Liu and Zhenli LuCatoptrical rough set model on two universes using granule-based definition and its variable precision extensionsInformation Sciences. 390: 70–81, 2017.
  • Leyi Wei, Jijun Tang and Quan ZouLocal-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary informationInformation Sciences. 384: 135–144, 2017.
  • Zhichao Peng, Qinghua Hu and Jianwu DangMulti-kernel SVM based depression recognition using social media dataInternational Journal of Machine Learning and Cybernetics. 1–15, 2017.
  • Leyi Wei, PengWei Xing, Ran Su, Gaotao Shi, Zhanshan Sam Ma and Quan ZouCPPred-RF: a sequence-based predictor for identifying cell-penetrating peptides and their uptake efficiencyJournal of proteome research. 16(5): 2044–2053, 2017.
  • Limin Jiang, Zhijun Liao, Ran Su and Leyi WeiImproved Identification of Cytokines Using Feature Selection TechniquesLetters in Organic Chemistry. 14(9): 632–641, 2017.
  • Kaiyang Qu, Ke Han, Song Wu, Guohua Wang and Leyi WeiIdentification of DNA-Binding Proteins Using Mixed Feature Representation MethodsMolecules. 22(10): 1602, 2017.
  • Liu Yang, Liping Jing, Bo Liu and Jian YuCommon latent space identification for heterogeneous co-transfer clusteringNeurocomputing. 269: 29–39, 2017.
  • Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang and Wangmeng ZuoSubspace clustering guided unsupervised feature selectionPattern Recognition. 66: 364–374, 2017.
  • Pengwei Xing, Ran Su, Fei Guo and Leyi WeiIdentifying N 6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machineScientific reports. 7: 46757, 2017.
  • Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu and Jianwu DangTwitter summarization with social-temporal contextWorld 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 WangCatching the Temporal Regions-of-Interest for Video CaptioningIn: ACMMM. 146–153, 2017.
  • Ziwei Yang, Youjiang Xu, Huiyun Wang, Bo Wang and Yahong HanMultirate Multimodal Video CaptioningIn: ACMMM. 1877–1882, 2017.
  • Hua Zhang, Rui Wang, Changqing Zhang and Xiaochun CaoLEAF: Latent Extended Attribute Features Discovery for Visual ClassificationIn: ACMMM. 979–987, 2017.
  • Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang and Stan Z. LiExclusivity-Consistency Regularized Multi-view Subspace ClusteringIn: CVPR. 1–9, 2017.
  • Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu and Xiaochun CaoLatent multi-view subspace clusteringIn: CVPR. 4333–4341, 2017.
  • Guangxia Wang, Changqing Zhang, Pengfei Zhu and Qinghua HuSemi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix FactorizationIn: ICANN. 10614: 340–348, 2017.
  • Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian and Jiye LiangLocal Bayes Risk Minimization Based Stopping Strategy for Hierarchical ClassificationIn: ICDM. 515–524, 2017.
  • Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu and Changqing ZhangUnsupervised feature selection via manifold regularized self-representationIn: ICIP. 2017.
  • Youjiang Xu, Shichao Zhao, Qinghua Hu, Yahong Han and Fei WuTop attention in line with time: a light-weight strategyIn: ICME. 295–300, 2017.
  • Ziwei Yu, Changqing Zhang, Qinghua Hu and Pengfei ZhuIndenpendence regularized multi-label ensembleIn: ICME. 853–858, 2017.
  • Qi Hu, Pengfei Zhu, Changqing Zhang and Qinghua HuMulti-view Label Space Dimension ReductionIn: ICONIP. 10634: 248–258, 2017.
  • Jirui Yuan, Wenya Ma, Pengfei Zhu and Karen EgiazarianRobust Deep Face Recognition with Label NoiseIn: ICONIP. 10635: 593–602, 2017.
  • Hong Zhao, Pengfei Zhu, Ping Wang and Qinghua HuHierarchical Feature Selection with Recursive RegularizationIn: IJCAI. 3483–3489, 2017.
  • Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue and Weiping WangGeneralization Analysis for Ranking Using Integral OperatorIn: 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 WangInfinite Kernel Learning: Generalization Bounds and AlgorithmsIn: 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 DuanMulti-label feature selection based on neighborhood mutual informationApplied Soft Computing. 38(C): 244–256, 2016.
  • Qinghua Hu, Yun Wang, Zongxia Xie, Pengfei Zhu and Daren YuOn estimating uncertainty of wind energy with mixture of distributionsEnergy. 112: 935–962, 2016.
  • Dai Jianhua, Hu Hu, Guojie Zheng, Qinghua Hu, Huifeng Han and Hong ShiAttribute reduction in interval-valued information systems based on information entropiesFrontiers of Information Technology & Electronic Engineering. 17(9): 919–928, 2016.
  • Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao and Chunping HouSaliency detection for stereoscopic images based on depth confidence analysis and multiple cues fusionIEEE Signal Processing Letters. 23(6): 819–823, 2016.
  • Linhao Li, Ping Wang, Qinghua Hu and Sijia Caiefficient background modeling based on sparse representation and outlier iterative removalIEEE Transactions on Circuits & Systems for Video Technology. 26(2): 278–289, 2016.
  • Shichao Zhao, Yanbin Liu, Yahong Han, Richang Hong, Qinghua Hu and Qi TianPooling the convolutional layers in deep ConvNets for video action recognitionIEEE Transactions on Circuits & Systems for Video Technology. PP(99): 1–1, 2016.
  • Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu and Eric C. C. TsangData-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust ClassificationIEEE transactions on cybernetics. 46(12): 3073–3085, 2016.
  • Lizhong Ding and Shizhong LiaoAn approximate approach to automatic kernel selectionIEEE Transactions on Cybernetics. 47(3): 1–12, 2016.
  • Jianqing Liang, Qinghua Hu, Wenwu Wang and Yahong HanSemi-supervised online multi-kernel similarity learning for image retrievalIEEE Transactions on Multimedia. 19(5): 1077–1089, 2016.
  • Liu Yang, Liping Jing, Jian Yu and Michael K. NgLearning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer LearningIEEE Transactions on Neural Networks and Learning Systems. 27(11): 2187–2200, 2016.
  • Qinghua Hu, Shiguang Zhang, Man Yu and Zongxia XieShort-term wind speed or power forecasting with heteroscedastic support vector regressionIEEE Transactions on Sustainable Energy. 7(1): 241–249, 2016.
  • Liu Yang, Liping Jing, Michael K. Ng and Jian YuA discriminative and sparse topic model for image classification and annotationImage and Vision Computing. 51: 22–35, 2016.
  • Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu and Bo WangMulti-document summarization via group sparse learningInformation Sciences. 349: 12–24, 2016.
  • Yaojin Lin, Qinghua Hu, Jia Zhang and Xindong WuMulti-label feature selection with streaming labelsInformation Sciences. 372: 256–275, 2016.
  • Hong Zhao, Ping Wang and Qinghua HuCost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidenceInformation Sciences. 366: 134–149, 2016.
  • Pengfei Zhu, Qinghua Hu, Yahong Han, Changqing Zhang and Yong DuCombining neighborhood separable subspaces for classification via sparsity regularized optimizationInformation Sciences. 370–371: 270–287, 2016.
  • Jianhua Dai, Guojie Zheng, Qinghua Hu, Maofu Liu and Huashi SuDecision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision makingJournal of Intelligent and Fuzzy Systems. 31(3): 1341–1353, 2016.
  • Jianhua Dai, Huifeng Han, Qinghua Hu and Maofu LiuDiscrete particle swarm optimization approach for cost sensitive attribute reductionKnowledge-Based Systems. 102(C): 116–126, 2016.
  • Hong Shi, Yin Li, Yahong Han and Qinghua HuCluster structure preserving unsupervised feature selection for multi-view tasksNeurocomputing. 175(Part A): 686–697, 2016.
  • Xiao Zhang and Shizhong LiaoTensor completion via multi-shared-modes canonical correlation analysisNeurocomputing. 205: 106–115, 2016.
  • Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu and Yalou HuangConvolutional neural random fields for action recognitionPattern Recognition. 59: 213–224, 2016.
  • Qinghua Hu, Rujia Zhang and Yucan ZhouTransfer learning for short-term wind speed prediction with deep neural networksRenewable 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 ZuoCoupled dictionary learning for unsupervised feature selectionIn: AAAI. 2422–2428, 2016.
  • Jing Pan, Yajun Yang, Qinghua Hu and Hong ShiA label inference method based on maximal entropy random walk over graphsIn: 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 ZhangRobust multi-label feature selection with missing labelsIn: CCPR. 752–765, 2016.
  • Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang and Xiaochun CaoSketchNet: sketch classification with web imagesIn: CVPR. 1105–1113, 2016.
  • Hong Shi, Man Yu and Qinghua HuStacked-locally weighted ensemble learning for wind speed predictionIn: ICMLC. 52–56, 2016.
  • Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng and Qinghua HuA self-representation induced classifierIn: IJCAI. 2442–2448, 2016.
  • Huaxi Huang, Changqing Zhang, Qinghua Hu and Pengfei ZhuMulti-view representative and informative induced active learningIn: PRICAI. 139–151, 2016.
  • Wencheng Zhu, Pengfei Zhu, Qinghua Hu and Changqing ZhangSet to set visual trackingIn: PRICAI. 700–712, 2016.
  • Jianhua Dai, Huifeng Han, Hu Hu, Qinghua Hu, Jinghong Zhang and Wentao WangDualPOS: a semi-supervised attribute selection approach for symbolic data based on rough set theoryIn: WAIM. 392–402, 2016.
  • Jianhua Dai, Huifeng Han, Hu Hu, Qinghua Hu, Bingjie Wei and Yuejun YanSemi-supervised clustering based on artificial bee colony algorithm with kernel strategyIn: WAIM. 403–414, 2016.

2015


期刊论文
  • Quan Zou, Qinghua Hu, Maozu Guo and Guohua WangHAlign: fast multiple similar DNA/RNA sequence alignment based on the centre star strategyBioinformatics. 31(15): 2475–2481, 2015.
  • Xingxing Wei, Zhiqiang Tao, Changqing Zhang and Xiaochun CaoStructured saliency fusion based on Dempster-Shafer theoryIEEE Signal Processing Letters. 22(9): 1345–1349, 2015.
  • Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu and Hassan ForooshConstrained multi-view video face clusteringIEEE Transactions on Image Processing. 24(11): 4381–4393, 2015.
  • Yahong Han, Yi Yang, Fei Wu and Richang HongCompact and discriminative descriptor inference using multi-cuesIEEE Transactions on Image Processing. 24(12): 5114–5126, 2015.
  • Liu Yang, Liping Jing and Michael K. NgRobust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer LearningIEEE Transactions on Image Processing. 24(12): 4701–4714, 2015.
  • Lei Zhao, Qinghua Hu and Wenwu WangHeterogeneous feature selection with multi-modal deep neural networks and sparse group lassoIEEE Transactions on Multimedia. 17(11): 1936–1948, 2015.
  • Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo and Qi TianSaliency-aware nonparametric foreground annotation based on weakly labeled dataIEEE Transactions on Neural Networks & Learning Systems. 27(6): 1253–1265, 2015.
  • Yahong Han, Yi Yang, Yan Yan, Zhigang Ma, Nicu Sebe and Xiaofang ZhouSemisupervised feature selection via spline regression for video semantic recognitionIEEE Transactions on Neural Networks and Learning Systems. 26(2): 252–264, 2015.
  • Zhihua Chen, Wangmeng Zuo, Qinghua Hu and Liang LinKernel sparse representation for time series classificationInformation Sciences. 292: 15–26, 2015.
  • Xiaohong Zhang, Jianhua Dai and Yucai YuOn the union and intersection operations of rough sets based on various approximation spacesInformation Sciences. 292: 214–229, 2015.
  • Yaojin Lin, Qinghua Hu, Jinghua Liu and Jie DuanMulti-label feature selection based on max-dependency and min-redundancyNeurocomputing. 168: 92–103, 2015.
  • Lei Xu, Qinghua Hu, Edward Hung, Baowen Chen, Xu Tan and Changrui LiaoLarge margin clustering on uncertain data by considering probability distribution similarityNeurocomputing. 158: 81–89, 2015.
  • Shiguang Zhang, Qinghua Hu, Zongxia Xie and Jusheng MiKernel ridge regression for general noise model with its applicationNeurocomputing. 149: 836–846, 2015.
  • Yucan Zhou, Qinghua Hu, Jie Liu and Yuan JiaCombining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognitionNeurocomputing. 168: 408–417, 2015.
  • Shili Peng, Qinghua Hu, Yinli Chen and Jianwu DangImproved support vector machine algorithm for heterogeneous dataPattern Recognition. 48(6): 2072–2083, 2015.
  • Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Qinghua Hu and Simon CK ShiuUnsupervised feature selection by regularized self-representationPattern Recognition. 48(2): 438–446, 2015.
  • Changqing Zhang, Zhiqiang Tao, Xingxing Wei and Xiaochun CaoA flexible framework of adaptive method selection for image saliency detectionPattern Recognition Letters. 63: 66–70, 2015.
  • Xiaoxue Wang, Shuang An, Hong Shi and Qinghua HuFuzzy rough decision trees for multi-label classificationRough Sets, Fuzzy Sets, Data Mining, and Granular Computing. 207–217, 2015.
会议论文
  • Yong Liu and Shizhong LiaoEigenvalues ratio for kernel selection of kernel methodsIn: AAAI. 2814–2820, 2015.
  • Liping Jing, Liu Yang, Jian Yu and M. K. NgSemi-supervised low-rank mapping learning for multi-label classificationIn: CVPR. 1483–1491, 2015.
  • Jiangang Wu, Chang Feng, Peihuan Gao and Shizhong LiaoParallel column subset selection of kernel matrix for scaling up support vector machinesIn: ICA3PP. 226–239, 2015.
  • Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu and Xiaochun CaoLow-rank tensor constrained multiview subspace clusteringIn: ICCV. 1582–1590, 2015.
  • Guang Li, Shubo Ma and Yahong HanSummarization-based video caption via deep neural networksIn: ICME. 1191–1194, 2015.
  • Yanbin Liu, Binbing Liao and Yahong HanDiscriminative multi-view feature selection and fusionIn: ICME. 1–6, 2015.
  • Chengju Zhou, Changqing Zhang, Huazhu Fu, Rui Wang and Xiaochun CaoMulti-cue augmented face clusteringIn: ICME. 1095–1098, 2015.
  • Xuxiao Wang, Hong Shi and Yucan ZhouAutomatic Chinese dialog acts recognition with multiple kernel learningIn: ICMLC. 2: 604–608, 2015.
  • Yahong Han and Guang LiDescribing images with hierarchical concepts and object class localizationIn: ICMR. 251–258, 2015.
  • Lei Zhao, Qinghua Hu and Yucan ZhouHeterogeneous features integration via semi-supervised multi-modal deep networksIn: ICONIP. 11–19, 2015.
  • Chang Feng, Qinghua Hu and Shizhong LiaoRandom feature mapping with signed circulant matrix projectionIn: IJCAI. 3490–3496, 2015.
  • Liping Jing, Peng Wang and Liu YangSparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative FilteringIn: IJCAI. 1771–1777, 2015.
  • Yucan Zhou, Xiaowei Cui, Qinghua Hu and Yuan JiaImproved multi-kernel SVM for multi-modal and imbalanced dialogue act classificationIn: IJCNN. 1–8, 2015.
  • Liu Yang, Liping Jing and Jian YuCommon Latent Space Identification for Heterogeneous Co-transfer ClusteringIn: IScIDE. 9243: 395–406, 2015.
  • Jiangang Wu and Shizhong LiaoAccuracy-preserving and scalable column-based low-rank matrix approximationIn: KSEM. 236–247, 2015.
  • Chuan Liu and Shizhong LiaoBoosting via approaching optimal margin distributionIn: PAKDD. 684–695, 2015.

2014


期刊论文
  • Shuang An and Qinghua HuFuzzy rough decision treesFundamenta Informaticae. 132(3): 381–399, 2014.
  • Changzhong Wang, Degang Chen and Qinghua HuFuzzy information systems and their homomorphismsFuzzy Sets & Systems. 249(6): 128–138, 2014.
  • Xiaochun Cao, Xingxing Wei, Yahong Han and Dongdai LinRobust face clustering via tensor decompositionIEEE Transactions on Cybernetics. 45(11): 2546–2557, 2014.
  • Yahong Han, Yi Yang, Zhigang Ma, Haoquan Shen, Nicu Sebe and Xiaofang ZhouImage attribute adaptationIEEE Transactions on Multimedia. 16(16): 1115–1126, 2014.
  • Qinghua Hu, Pengyu Su, Daren Yu and Jinfu LiuPattern-based wind speed prediction based on generalized principal component analysisIEEE Transactions on Sustainable Energy. 5(3): 866–874, 2014.
  • Shuang An, Hong Shi, Qinghua Hu, Xiaoqi Li and Jianwu DangFuzzy rough regression with application to wind speed predictionInformation Sciences. 282(5): 388–400, 2014.
  • Yahong Han, Jingjing Chen, Xiaochun Cao, Congfu Xu and Haoquan ShenFeature selection with spatial path coding for multimedia analysisInformation Sciences. 281: 523–535, 2014.
  • Changzhong Wang, Qiang He, Degang Chen and Qinghua HuA novel method for attribute reduction of covering decision systemsInformation Sciences. 254(5): 181–196, 2014.
  • Pengfei Zhu, Qinghua Hu, Wangmeng Zuo and Meng YangMulti-granularity distance metric learning via neighborhood granule margin maximizationInformation Sciences. 282(282): 321–331, 2014.
  • Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu and Jiye LiangSet-based granular computing: a lattice modelInternational Journal of Approximate Reasoning. 55(3): 834–852, 2014.
  • Weiwei Pan, Qinghua Hu, Yanping Song and Daren YuFeature selection for monotonic classification via maximizing monotonic dependencyInternational Journal of Computational Intelligence Systems. 7(3): 543–555, 2014.
  • Qinghua Hu, Leijun Li, Xiangqian Wu, Gerald Schaefer and Daren YuExploiting diversity for optimizing margin distribution in ensemble learningKnowledge-Based Systems. 67(3): 90–104, 2014.
  • Qinghua Hu, Shiguang Zhang, Zongxia Xie, Jusheng Mi and Jie WanNoise model based v-support vector regression with its application to short-term wind speed forecastingNeural Networks. 57: 1–11, 2014.
  • Leijun Li, Qinghua Hu, Xiangqian Wu and Daren YuExploration of classification confidence in ensemble learningPattern Recognition. 47(9): 3120–3131, 2014.
  • Ruifang He, Yang Zhang, Tuo Li and Qinghua HuImproved conditional random fields model with multi-trigger embedding for chinese event extractionWorld Wide Web. 17(5): 1029–1049, 2014.
  • Yajun Yang, Jeffrey Xu Yu, Hong Gao, Jian Pei and Jianzhong LiMining most frequently changing component in evolving graphsWorld Wide Web-Internet And Web Information Systems. 17(3): 351–376, 2014.
会议论文
  • Liu Yang, Liping Jing and Jian YuHeterogeneous co-transfer spectral clusteringIn: RSKT. 352–363, 2014.

2012


期刊论文
  • Shuang An, Qinghua Hu, Daren Yu and Jinfu LiuSoft minimum-enclosing-ball based robust fuzzy rough setsFundamenta Informaticae. 115(2–3): 189–202, 2012.
  • Gerald Schaefer, Qinghua Hu, Huiyu Zhou, James F Peters and Aboul Ella HassanienRough c-means and fuzzy rough c-means for colour quantisationFundamenta Informaticae. 119(1): 113–120, 2012.
  • Yahong Han, Fei Wu, Dacheng Tao, Jian Shao, Yueting Zhuang and Jianmin JiangSparse unsupervised dimensionality reduction for multiple view dataIEEE 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 YuFeature selection for monotonic classificationIEEE Transactions on Fuzzy Systems. 20(1): 69–81, 2012.
  • Qinghua Hu, Lei Zhang, Shuang An, David Zhang and Daren YuOn robust fuzzy rough set modelsIEEE Transactions on Fuzzy Systems. 20(4): 636–651, 2012.
  • Yahong Han, Fei Wu, Qi Tian and Yueting ZhuangImage annotation by input-output structural grouping sparsityIEEE Transactions on Image Processing. 21(6): 3066–3079, 2012.
  • Qinghua Hu, Xunjian Che, Lei Zhang, David Zhang, Maozu Guo and Daren YuRank entropy-based decision trees for monotonic classificationIEEE Transactions on Knowledge and Data Engineering. 24(11): 2052–2064, 2012.
  • Changzhong Wang, Degang Chen, Baiqing Sun and Qinghua HuCommunication between information systems with covering based rough setsInformation Sciences. 216: 17–33, 2012.
  • Min Fan, Qinghua Hu and William ZhuFeature selection with test cost constraintInternational Journal of Approximate Reasoning. 55(1): 167–179, 2012.
  • Qinghua Hu, Weiwei Pan, Yanping Song and Daren YuLarge-margin feature selection for monotonic classificationKnowledge-Based Systems. 31: 8–18, 2012.
  • Ning Li, Rui Zhou, Qinghua Hu and Xiaohang LiuMechanical fault diagnosis based on redundant second generation wavelet packet transform, neighborhood rough set and support vector machineMechanical Systems and Signal Processing. 28: 608–621, 2012.
  • Zongxia Xie, Yong Xu, Qinghua Hu and Pengfei ZhuMargin distribution based bagging pruningNeurocomputing. 85: 11–19, 2012.

2011


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

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