Selective Publications

Journal publications

  • [ IEEE TKDE ] A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang and Ping Wang, IEEE Trans. Knowl. Data Eng. In press (2019).  [PDF]

  • [ IEEE TFS ] Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification. Yu Wang, Qinghua Hu, Pengfei Zhu, Linhao Li, Bingxu Lu, Jonathan M. Garibaldi and Xianling Li,  IEEE Trans. Fuzzy Systems. In press (2019). [PDF]

  • [ IEEE TIP ] Adaptive Sample-level Graph Combination for Partial Multiview Clustering. Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li,  IEEE Trans. Image Processing. In press (2019). [PDF]

  • [ IEEE TPAMI ] Generalized Latent Multi-View Subspace Clustering. Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao and Dong Xu,  IEEE Trans. Pattern Analysis And Machine intelligence. 42(1): 86-99 (2020). [PDF]

  • [ IEEE TFS ] Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification. Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu,  IEEE Trans. Fuzzy Systems. 27(10): 1891-1903 (2019). [PDF]

  • [ IEEE TCYB ] Hybrid Noise-Oriented Multilabel Learning. Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen and Qinghua Hu,  IEEE Trans. Cybernetics. In press. (2019). [PDF]

  • [ IEEE TCYB ] SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection. Meijun Sun, Ziqi Zhou, Qinghua Hu, Zheng Wang, Jianmin Jiang,  IEEE Trans. Cybernetics. 49(8): 2900-2911 (2019). [PDF]

  • [ IEEE TIP ] Weighted Graph Embedding-Based Metric Learning for Kinship Verification. Jianqing Liang, Qinghua Hu, Chuangyin Dang, Wangmeng Zuo,  IEEE Trans. Image Processing 28(3): 1149-1162, (2019) [PDF]

  • [ IEEE TIP ] Moving Object Detection in Video via Hierarchical Modeling and Alternating Optimization. Linhao Li, Qinghua Hu, Xin Li,  IEEE Trans. Image Processing 28(4): 2021-2036, (2019) [PDF]

  • [ IEEE TSE ] Wind Power Curve Modeling and Wind Power Forecasting With Inconsistent Data. Yun Wang, Qinghua Hu, Dipti Srinivasan,Zheng Wang,  IEEE Trans. Sustainable Energy. 10(1): 16-25, (2019) [PDF]

  • [ IEEE TCSVT ] Distribution Sensitive Product Quantization. Linhao Li, Qinghua Hu, Yahong Han, Xing Li,  IEEE Trans. Circuits Syst. Video Techn. 28(12): 3504-3515, (2018) [PDF]

  • [ IEEE TFS ] Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets. Qinghua Hu, Lingjun Zhang, Yucan Zhou, Witold Pedrycz,  IEEE Trans. Fuzzy Systems 26(1): 226-238 (2018) [PDF]

  • [ IEEE TFS ] Neighbor Inconsistent Pair Selection for Attribute Reduction by Rough Set Approach. Jianhua Dai, Qinghua Hu, Hu Hu, Debiao Huang,  IEEE Trans. Fuzzy Systems 26(2): 937-950 (2018) [PDF]

  • [ IEEE TNNLS ] Feature Selection Based on Neighborhood Discrimination Index. Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen, Yuhua Qian, Zhe Dong, IEEE Trans. Neural Netw. Learning Syst. 29(7): 2986-2999 (2018) [PDF]

  • [ IEEE TFS ] Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information. Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li, Xindong Wu,  IEEE Trans. Fuzzy Systems 25(6): 1491-1507(2017) [PDF]

  • [ IEEE TMM ] Semisupervised Online Multikernel Similarity Learning for Image Retrieval. Jianqing Liang, Qinghua Hu, Wenwu Wang, Yahong Han, IEEE Trans. Multimedia 19(5): 1077-1089 (2017) [PDF]

  • [ IEEE TCSVT ] Efficient Background Modeling Based on Sparse Representation and Outlier Iterative Removal. Linhao Li, Ping Wang, Qinghua Hu, Sijia Cai,  IEEE Trans. Circuits Syst. Video Techn.26(2): 278-289 (2016) [PDF]

  • [ IEEE TCYB ] Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric C. C. Tsang, IEEE Trans. Cybernetics 46(12): 3073-3085(2016) [PDF]

  • [ IEEE TMM ] Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSO. Lei Zhao, Qinghua Hu, Wenwu Wang, IEEE Trans. Multimedia 17(11): 1936-1948 (2015) [PDF]

  • [ PR ] Improved support vector machine algorithm for heterogeneous data. Shili Peng, Qinghua Hu, Yinli Chen, Jianwu Dang, Pattern Recognition 48(6): 2072-2083 (2015) [PDF]

  • [ IEEE TKDE ] Rank Entropy-Based Decision Trees for Monotonic Classification. Qinghua Hu, Xunjian Che, Lei Zhang, David Zhang, Maozu Guo, Daren Yu, IEEE Trans. Knowl. Data Eng. 24(11): 2052-2064 (2012) [PDF]

  • [ IEEE TFS ] On Robust Fuzzy Rough Set Models. Qinghua Hu, Lei Zhang, Shuang An, David Zhang, Daren Yu, IEEE Trans. Fuzzy Systems 20(4): 636-651 (2012) [PDF]

  • [ IEEE TFS ] Feature Selection for Monotonic Classification. Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo, Daren Yu, IEEE Trans. Fuzzy Systems 20(1): 69-81 (2012) [PDF]

Conference papers

  • [ AAAI ] Latent Semantic Aware Multi-View Multi-Label Classification. Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang, AAAI-18 [PDF]

  • [ IJCAI ] FISH-MML: Fisher-HSIC Multi-View Metric Learning. Changqing Zhang, Yeqinq Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu, IJCAI-18 [PDF]

  • [ IJCAI ] Towards Generalized and Efficient Metric Learning on Riemannian Manifold. Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang, IJCAI-18 [PDF]

  • [ IJCAI ] Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang, IJCAI-18 [PDF]

  • [ ICDM ] Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang, ICDM-17 [PDF]

  • [ IJCAI ] Hierarchical Feature Selection with Recursive Regularization. Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu, IJCAI-17 [PDF]

  • [ AAAI ] Coupled Dictionary Learning for Unsupervised Feature Selection. Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo, AAAI-16 [PDF]
  • [ IJCAI ] A Self-Representation Induced Classifier. Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu, IJCAI-16 [PDF]

  • [ IJCAI ] Random Feature Mapping with Signed Circulant Matrix Projection. Chang Feng, Qinghua Hu, Shizhong Liao, IJCAI-15 [PDF]

  • [ ECCV ] Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization. Pengfei Zhu, Lei Zhang, Qinghua Hu, Simon C. K. Shiu, ECCV-12 [PDF]

  • [ ICCV ] A linear subspace learning approach via sparse coding. Lei Zhang, Pengfei Zhu, Qinghua Hu, David Zhang, ICCV-11 [PDF]