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学术论文-
[1]Jinyu Hong, Fan Zhou, Qiang Gao*, Kuang Ping, Kunpeng Zhang. "Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)", The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023). (Accepted )[pdf][2]Yujie Li, Yuxuan Yang, Qiang Gao*, Xin Yang. "Cross-regional Fraud Detection via Continual Learning (Student Abstract)", The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023). (Accepted )[1] Yujie Li, Yuxuan Yang, Qiang Gao*, Xin Yang. "Cross-regional Fraud Detection via Continual Learning (Student Abstract)", The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023). ...[3]刘贵松, 郑余, 解修蕊, 黄鹂, 丁浩伦. 一种基于损失预测的双主动域适应算法研究[J], 计算机学报, 2022(9)[1] 刘贵松, 郑余, 解修蕊, 黄鹂, 丁浩伦. 一种基于损失预测的双主动域适应算法研究[J], 计算机学报, 2022(9)[4]Xiao Qian, Tai-Xiang Jiang, and Xi-Le Zhao. Selfs2: Self-supervised transfer learning for Sentinel-2 multispectral image super-resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16:215–227, 2023.[1] Xiao Qian, Tai-Xiang Jiang, and Xi-Le Zhao. Selfs2: Self-supervised transfer learning for Sentinel-2 multispectral image super-resolution. IEEE Journal of Selected Topics in Applied Earth Observat...[5]Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, and Huajin Tang. Human-Level Control Through Directly Trained Deep Spiking $ Q $-Networks[J]. IEEE Transactions on Cybernetics, 2022.[1] Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, and Huajin Tang. Human-Level Control Through Directly Trained Deep Spiking $ Q $-Networks[J]. IEEE Transactions on Cybernetics, 2022.[6]Eldad Antwi-Bekoe1, Guisong Liu, Jean-Paul Ainam, Guolin Sun, Xiurui Xie. A deep learning approach for insulator instance segmentation and defect detection[J]. Neural Computing and Applications, 2022, 34(9): 7253-7269.[1] Eldad Antwi-Bekoe1, Guisong Liu, Jean-Paul Ainam, Guolin Sun, Xiurui Xie. A deep learning approach for insulator instance segmentation and defect detection[J]. Neural Computing and Applications, 2...[7]Shuai Dong, Chen Chen, Yihui Liang, Kun Zou, Guisong Liu. Defect detection of photovoltaic glass based on level set map[J]. Neural Computing and Applications, 2022: 1-15.[1] Shuai Dong, Chen Chen, Yihui Liang, Kun Zou, Guisong Liu. Defect detection of photovoltaic glass based on level set map[J]. Neural Computing and Applications, 2022: 1-15.[11]Zhen Deng, Shuhao Hu, Shibai Yin, Yibin Wang, Anup Basu, Irene Cheng, Multi-step implicit Adams predictor-corrector network for fire detection[J], IET Image Processing[1] Zhen Deng, Shuhao Hu, Shibai Yin, Yibin Wang, Anup Basu, Irene Cheng, Multi-step implicit Adams predictor-corrector network for fire detection[J], IET Image Processing[8]Bruce Mareri, Gordon Owusu Boateng , Ruijie Ou, Guolin Sun, Yu Pang , and Guisong Liu. MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing[J]. IEEE Wireless Communications Letters, 2022, 11(9): 1905-1909.[1] Bruce Mareri, Gordon Owusu Boateng , Ruijie Ou, Guolin Sun, Yu Pang , and Guisong Liu. MANTA: Multi-Lane Capsule Network Assisted Traffic Classification for 5G Network Slicing[J]. IEEE Wireless Co...[9]Xiurui Xie, Qing Cai, Hongjie Zhang, Malu Zhang, Zeheng Yang, and Guisong Liu. When to transfer: a dynamic domain adaptation method for effective knowledge transfer[J]. International Journal of Machine Learning and Cybernetics, 2022, 13(11): 3491-3508[1] Xiurui Xie, Qing Cai, Hongjie Zhang, Malu Zhang, Zeheng Yang, and Guisong Liu. When to transfer: a dynamic domain adaptation method for effective knowledge transfer[J]. International Journal of Ma...[10]Shibai Yin，Shuhao Hu,Yibin Wang, Weixing Wang, Chunxiao Li, Yee-Hong Yang, Degradation-aware and color-corrected network for underwater image enhancement[J]，Knowledge-Based Systems, 2022[1] Shibai Yin，Shuhao Hu,Yibin Wang, Weixing Wang, Chunxiao Li, Yee-Hong Yang, Degradation-aware and color-corrected network for underwater image enhancement[J]，Knowledge-Based Systems, 2022 ...[12]Xi-Le Zhao, Jing-Hua Yang, Tian-Hui Ma, Tai-Xiang Jiang, Michael K Ng, and Ting-Zhu Huang. Tensor completion via complementary global, local, and nonlocal priors. IEEE Transactions on Image Processing, 31:984–999, 2022.[1] Xi-Le Zhao, Jing-Hua Yang, Tian-Hui Ma, Tai-Xiang Jiang, Michael K Ng, and Ting-Zhu Huang. Tensor completion via complementary global, local, and nonlocal priors. IEEE Transactions on Image Proces...[13]Tai-Xiang Jiang, Michael K Ng, and Xi-Le Zhao. Transform-based tensor singular value decomposition in multidimensional image recovery. In Tensors for Data Processing, pages 31–60. Elsevier, 2022.[1] Tai-Xiang Jiang, Michael K Ng, and Xi-Le Zhao. Transform-based tensor singular value decomposition in multidimensional image recovery. In Tensors for Data Processing, pages 31–60. Elsevier, 2022....[14]Yisi Luo, Xi-Le Zhao, Deyu Meng, and Tai-Xiang Jiang. Hlrtf: Hierarchical low-rank tensor factorization for inverse problems in multi-dimensional imaging. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 193Yisi Luo, Xi-Le Zhao, Deyu Meng, and Tai-Xiang Jiang. Hlrtf: Hierarchical low-rank tensor factorization for inverse problems in multi-dimensional imaging. In Proceedings of the IEEE/CVF Conference on ...[15]Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, and Chao Li. Self-supervised nonlinear transform-based tensor nuclear norm for multi-dimensional image recovery. IEEE Transactions on Image Processing, 31:3793–3808, 2022.[1] Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, and Chao Li. Self-supervised nonlinear transform-based tensor nuclear norm for multi-dimensional image recovery. IEEE Transactions ...[16]Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, and Liang-Jian Deng. Lagconv: Local-context adaptive convolution kernels with global harmonic bias for pansharpening. In Proceedings of the AAAI Conference on Artificial Intelligence, volu[1] Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, and Liang-Jian Deng. Lagconv: Local-context adaptive convolution kernels with global harmonic bias for pansharpening. In Proceedings o...[17]Junhao Zhuang, Yisi Luo, Xile Zhao, Taixiang Jiang, and Bichuan Guo. UConNet: Unsupervised controllable network for image and video deraining. In Proceedings of the 30th ACM International Conference on Multimedia, pages 5436–5445, 2022.[1] Junhao Zhuang, Yisi Luo, Xile Zhao, Taixiang Jiang, and Bichuan Guo. UConNet: Unsupervised controllable network for image and video deraining. In Proceedings of the 30th ACM International Conferen...[18]Yexun Hu, Tai-Xiang Jiang, and Xi-Le Zhao. Degradation accordant plug-and-play for low-rank tensor completion. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22, pages 1843–1849, 7 2022. Main Track[1] Yexun Hu, Tai-Xiang Jiang, and Xi-Le Zhao. Degradation accordant plug-and-play for low-rank tensor completion. In Proceedings of the Thirty-First International Joint Conference on Artificial Intel...[19]Tai-Xiang Jiang, Michael K Ng, Junjun Pan, and Guang-Jing Song. Nonnegative low rank tensor approximations with multidimensional image applications. Numerische Mathematik, pages 1–30, 2022.[1] Tai-Xiang Jiang, Michael K Ng, Junjun Pan, and Guang-Jing Song. Nonnegative low rank tensor approximations with multidimensional image applications. Numerische Mathematik, pages 1–30, 2022. ...[20]Guangjing Song, Michael K. Ng, and Tai-Xiang Jiang. Tangent space based alternating projections for nonnegative low rank matrix approximation. IEEE Transactions on Knowledge and Data Engineering, pages 1–18, 2022. Junfang Luo, Mengjun Hu, Guangming L[1] Guangjing Song, Michael K. Ng, and Tai-Xiang Jiang. Tangent space based alternating projections for nonnegative low rank matrix approximation. IEEE Transactions on Knowledge and Data Engineering, ...[21]Junfang Luo, Mengjun Hu*, A bipolar three-way decision model and its application in analyzing incomplete data, International Journal of Approximate Reasoning[1] Junfang Luo, Mengjun Hu*, A bipolar three-way decision model and its application in analyzing incomplete data, International Journal of Approximate Reasoning[22]Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao and Fan Zhou. "Recommendation via Collaborative Diffusion Generative Model", The 15th International Conference on Knowledge Science, Engineering and Management (KSEM 2022).[1] Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao and Fan Zhou. "Recommendation via Collaborative Diffusion Generative Model", The 15th International Conference on Knowledge Science, Engineering a...[23]Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong. "Dynamic Manifold Learning for Land Deformation Forecasting", Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI),2022.[1] Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong. "Dynamic Manifold Learning for Land Deformation Forecasting", Thirty-Sixth AAAI Conference on Artificial Intelligence (...[24]Qiang Gao, Wei Wang, Li Huang, Xin Yang, Tianrui Li and Hamido Fujita. "Dual-grained Human Mobility Learning for Location-aware Trip Recommendation with Spatial-temporal Graph Knowledge Fusion", Information Fusion,2022.[1] Qiang Gao, Wei Wang, Li Huang, Xin Yang, Tianrui Li and Hamido Fujita. "Dual-grained Human Mobility Learning for Location-aware Trip Recommendation with Spatial-temporal Graph Knowledge Fusion", I...[25]Qiang Gao, Fan Zhou, Xin Yang and Guisong Liu. "When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility", Neurocomputing, 2022.[1] Qiang Gao, Fan Zhou, Xin Yang and Guisong Liu. "When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility", Neurocomputing, 2022.[26]Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang and Tianrui Li. "Contextual Spatio-Temporal Graph Representation Learning for Reinforced Human Mobility Mining", Information Sciences,2022.[1] Qiang Gao, Fan Zhou, Ting Zhong, Goce Trajcevski, Xin Yang and Tianrui Li. "Contextual Spatio-Temporal Graph Representation Learning for Reinforced Human Mobility Mining", Information Sciences,202...[27]Qiang Gao, Wei Wang, Kunpeng Zhang, Xin Yang, Congcong Miao and Tianrui Li. "Self-supervised Representation Learning for Trip Recommendation", Knowledge-Based Systems, 2022.[1] Qiang Gao, Wei Wang, Kunpeng Zhang, Xin Yang, Congcong Miao and Tianrui Li. "Self-supervised Representation Learning for Trip Recommendation", Knowledge-Based Systems, 2022.[28]Qiang Gao, Zhipeng Luo, Diego Klabjan and Fengli Zhang. "Efficient Architecture Search for Continual Learning", IEEE Transactions on Neural Networks and Learning Systems, 2022.[1] Qiang Gao, Zhipeng Luo, Diego Klabjan and Fengli Zhang. "Efficient Architecture Search for Continual Learning", IEEE Transactions on Neural Networks and Learning Systems, 2022.[29]Qiugang Zhan , Guisong Liu , Xiurui Xie, Guolin Sun, and Huajin Tang. Effective Transfer Learning Algorithm in Spiking Neural Networks[J]. IEEE Transactions on Cybernetics, 2021.[1] Qiugang Zhan , Guisong Liu , Xiurui Xie, Guolin Sun, and Huajin Tang. Effective Transfer Learning Algorithm in Spiking Neural Networks[J]. IEEE Transactions on Cybernetics, 2021.[30]Gordon Owusu Boateng, Daniel Ayepah-Mensah, Daniel Mawunyo Doe, Abegaz Mohammed, Guolin Sun, and Guisong Liu. Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G[J]. IEEE Transactions on Network and[1] Gordon Owusu Boateng, Daniel Ayepah-Mensah, Daniel Mawunyo Doe, Abegaz Mohammed, Guolin Sun, and Guisong Liu. Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous R...[31]Noble Arden Elorm Kuadey, Gerald Tietaa Maale, Thomas Kwantwi, Guolin Sun and Guisong Liu DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing—Deep Learning Approach[J]. IEEE Wireless Communications Letters, 2021, 11(3[1] Noble Arden Elorm Kuadey, Gerald Tietaa Maale, Thomas Kwantwi, Guolin Sun and Guisong Liu DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing—Deep Learning Approa...[32]Hayla Nahom Abishu, Abegaz Mohammed Seid, Yasin Habtamu Yacob, Tewodros Ayall, Guolin Sun, and Guisong Liu. Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles[J]. IEEE Transactions on Veh[1] Hayla Nahom Abishu, Abegaz Mohammed Seid, Yasin Habtamu Yacob, Tewodros Ayall, Guolin Sun, and Guisong Liu. Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Inte...[33]Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, and Ting Zhong. "Self-Supervised Human Mobility Learning for Next Location Prediction and Trajectory Classification", Knowledge-Based Systems, 2021.[1] Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, and Ting Zhong. "Self-Supervised Human Mobility Learning for Next Location Prediction and Trajectory Classification", Knowledge-Based Systems, 2021. ...[34]Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, and Lina Zhuang. A tensor subspace representation-based method for hyperspectral image denoising. IEEE Transactions on Geoscience and Remote Sensing, 59(9):7739–7757, 2021.[1] Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, and Lina Zhuang. A tensor subspace representation-based method for hyperspectral image denoising. IEEE Transactions on Geoscience and Remote S...[35]Chao Zeng, Tai-Xiang Jiang, and Michael K Ng. An approximation method of cp rank for third-order tensor completion. Numerische Mathematik, 147(3):727–757, 2021.[1] Chao Zeng, Tai-Xiang Jiang, and Michael K Ng. An approximation method of cp rank for third-order tensor completion. Numerische Mathematik, 147(3):727–757, 2021.[36]Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, and Michael K Ng. Multi-dimensional visual data completion via low-rank tensor representation under coupled transform. IEEE Transactions on Image Processing, 30:3581–3596, 2021.[1] Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, and Michael K Ng. Multi-dimensional visual data completion via low-rank tensor representation under coupled transform. IEEE Transactions ...[37]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, and Tai-Xiang Jiang. Fully-connected tensor network decomposition and its application to higher-order tensor completion. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 3[1] Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, and Tai-Xiang Jiang. Fully-connected tensor network decomposition and its application to higher-order tensor completion. In Proceedings of th...[38]Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, and Jocelyn Chanussot. Hyperspectral image super-resolution via deep spatiospectral attention convolutional neural networks. IEEE Transactions on Neural Networks and Learnin[1] Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, and Jocelyn Chanussot. Hyperspectral image super-resolution via deep spatiospectral attention convolutional neural netw...[39]Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, Xi-Le Zhao, and José M Bioucas-Dias. Adaptive hyperspectral mixed noise removal. IEEE Transactions on Geoscience and Remote Sensing, 60:1–13, 2022.[1] Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, Xi-Le Zhao, and José M Bioucas-Dias. Adaptive hyperspectral mixed noise removal. IEEE Transactions on Geoscience and Remote Sensing, 60:1–13, 2022. ...[40]Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, and Tai-Xiang Jiang. Hyperspectral denoising via global tensor ring decomposition and local unsupervised deep image prior. In IEEE International Geoscience and Remote Sensing Symposium, pages 4119[1] Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, and Tai-Xiang Jiang. Hyperspectral denoising via global tensor ring decomposition and local unsupervised deep image prior. In IEEE Internation...[41]Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Meng Ding, Yong Chen, and Tai-Xiang Jiang. A blind cloud/shadow removal strategy for multi-temporal remote sensing images. In IEEE International Geoscience and Remote Sensing Symposium, pages 4656–4659. IEEE, 2021[1] Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Meng Ding, Yong Chen, and Tai-Xiang Jiang. A blind cloud/shadow removal strategy for multi-temporal remote sensing images. In IEEE International Geoscience and...[42]Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, and Michael K. Ng. Dictionary learning with low-rank coding coefficients for tensor completion. IEEE Transactions on Neural Networks and Learning Systems, pages 1–15, 2021.[1] Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, and Michael K. Ng. Dictionary learning with low-rank coding coefficients for tensor completion. IEEE Transactions on Neural Networks and Learning Systems, p...[43]Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, and Yi Chang. Hyperspectral mixed noise removal via spatial-spectral constrained unsupervised deep image prior. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1[1] Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, and Yi Chang. Hyperspectral mixed noise removal via spatial-spectral constrained unsupervised deep image prior. IEEE Journal of Selected Topi...[44]Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng, and Ting-Zhu Huang. Multiscale feature tensor train rank minimization for multidimensional image recovery. IEEE Transactions on Cybernetics, 52(12):13395–13410, 2022.[1] Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng, and Ting-Zhu Huang. Multiscale feature tensor train rank minimization for multidimensional image recovery. IEEE Transactions on Cybernetics, ...[45]Sun G, Liu K, Boateng G O, et al. Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning[J]. IEEE Internet of Things Journal, 2021, 9(5): 3574-3585.[1] Sun G, Liu K, Boateng G O, et al. Intelligent Cruise Guidance and Vehicle Resource Management With Deep Reinforcement Learning[J]. IEEE Internet of Things Journal, 2021, 9(5): 3574-3585.[46]Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, and Tai-Xiang Jiang. Reconciling hand-crafted and self-supervised deep priors for video directional rain streaks removal. IEEE Signal Processing Letters, 28:2147–2151, 2021.[1] Jun-Hao Zhuang, Yi-Si Luo, Xi-Le Zhao, and Tai-Xiang Jiang. Reconciling hand-crafted and self-supervised deep priors for video directional rain streaks removal. IEEE Signal Processing Letters, 28:...[47]Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, and Yu-Bang Zheng. A novel non-convex low-rank tensor approximation model for hyperspectral image restoration. Applied Mathematics and Computation, 408:126342, 2021.[1] Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, and Yu-Bang Zheng. A novel non-convex low-rank tensor approximation model for hyperspectral image restoration. Applied Mathematic...[48]Ben-Zheng Li, Xi-Le Zhao, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, and Jun Liu. Tensor completion via collaborative sparse and low-rank transforms. IEEE Transactions on Computational Imaging, 7:1289–1303, 2021.[1] Ben-Zheng Li, Xi-Le Zhao, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, and Jun Liu. Tensor completion via collaborative sparse and low-rank transforms. IEEE Transactions on Computational Imaging, 7:1...[49]Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, and Ting Zhong. "Self-Supervised Human Mobility Learning for Next Location Prediction and Trajectory Classification", Knowledge-Based Systems, 2021.[1] Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, and Ting Zhong. "Self-Supervised Human Mobility Learning for Next Location Prediction and Trajectory Classification", Knowledge-Based Systems, 2021. ...[50]Shibai Yin，Xiaolong Yang, Yibin Wang, Yee-Hong Yang, Visual attention dehazing network with multi-level features refinement and fusion[J]，PATTERN RECOGNITION, 2021.[1] Shibai Yin，Xiaolong Yang, Yibin Wang, Yee-Hong Yang, Visual attention dehazing network with multi-level features refinement and fusion[J]，PATTERN RECOGNITION, 2021.[51]Shibai Yin, Yibin Wang, Yee-Hong Yang，Attentive U recurrent encoder-decoder network for image dehazing[J]，NEUROCOMPUTING, 2021.[1] Shibai Yin, Yibin Wang, Yee-Hong Yang，Attentive U recurrent encoder-decoder network for image dehazing[J]，NEUROCOMPUTING, 2021.[52]Yibin Wang, Shibai Yin, Anup Basu, A multi-scale attentive recurrent network for image dehazing，MULTIMEDIA TOOLS AND APPLICATIONS, 2021.[1] Yibin Wang, Shibai Yin, Anup Basu, A multi-scale attentive recurrent network for image dehazing，MULTIMEDIA TOOLS AND APPLICATIONS, 2021.[53]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Tian-Hui Ma, and Teng-Yu Ji. Mixed noise removal in hyperspectral image via low-fibered-rank regularization. IEEE Transactions on Geoscience and Remote Sensing, 58(1):734–749, 2020.[1] Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Tian-Hui Ma, and Teng-Yu Ji. Mixed noise removal in hyperspectral image via low-fibered-rank regularization. IEEE Transactions on Geosci...[54]Yugang Wang, Ting-Zhu Huang, Xi-Le Zhao, and Tai-Xiang Jiang. Video deraining via nonlocal low-rank regularization. Applied Mathematical Modelling, 79:896–913, 2020.[1] Yugang Wang, Ting-Zhu Huang, Xi-Le Zhao, and Tai-Xiang Jiang. Video deraining via nonlocal low-rank regularization. Applied Mathematical Modelling, 79:896–913, 2020.[55]Tai-Xiang Jiang, Michael K Ng, Xi-Le Zhao, and Ting-Zhu Huang. Framelet representation of tensor nuclear norm for third-order tensor completion. IEEE Transactions on Image Processing, 29:7233–7244, 2020.Tai-Xiang Jiang, Michael K Ng, Xi-Le Zhao, and Ting-Zhu Huang. Framelet representation of tensor nuclear norm for third-order tensor completion. IEEE Transactions on Image Processing, 29:7233–7244, 2...[56]Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, and Liang-Jian Deng. Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm. Journal of Computational and Applied Mathematics, 372:112680, 2020.[1] Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, and Liang-Jian Deng. Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm. Journal of Computational and Applied...[57]Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, and Michael K Ng. Deep plug-and-play prior for low-rank tensor completion. Neurocomputing, 400:137–149, 2020.[1] Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, and Michael K Ng. Deep plug-and-play prior for low-rank tensor completion. Neurocomputing, 400:137–149, 2020.[58]Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, and Ting-Zhu Huang. Rain streaks removal for single image via kernel-guided convolutional neural network. IEEE Transactions on Neural Networks and Learning Systems, 32(8):3664–3676,Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, and Ting-Zhu Huang. Rain streaks removal for single image via kernel-guided convolutional neural network. IEEE Transactions on Neur...[59]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, and Tian-Hui Ma. Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. Information Sciences, 532:170–189, 2020.[1] Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, and Tian-Hui Ma. Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. Information Sciences, 532:170–...[60]Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael K Ng, and Xiong-Jun Zhang. Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. Neurocomputing, 413:397–409, 2020.Xi-Le Zhao, Hao Zhang, Tai-Xiang Jiang, Michael K Ng, and Xiong-Jun Zhang. Fast algorithm with theoretical guarantees for constrained low-tubal-rank tensor recovery in hyperspectral images denoising. ...[61]Shibai Yin, Yibin Wang, Yee-Hong Yang, A novel image dehazing network with a parallel attention block[J]，PATTERN RECOGNITION, 2020.[1] Shibai Yin, Yibin Wang, Yee-Hong Yang, A novel image dehazing network with a parallel attention block[J]，PATTERN RECOGNITION, 2020.[62]Shibai Yin，Jin Xin, Yibin Wang, Anup Basu, Image dehazing with uneven illumination prior by dense residual channel attention network[J], IET IMAGE PROCESSING, 2020.[1] Shibai Yin，Jin Xin, Yibin Wang, Anup Basu, Image dehazing with uneven illumination prior by dense residual channel attention network[J], IET IMAGE PROCESSING, 2020.[63]Xin Yang, Yujie Li, Dun Liu, and Tianrui Li. Hierarchical fuzzy rough approximations with three-way multi-granularity learning. IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3486-3500.[1] Xin Yang, Yujie Li, Dun Liu, and Tianrui Li. Hierarchical fuzzy rough approximations with three-way multi-granularity learning. IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3486-3500. ...[64]Xin Yang, Yuxuan Yang, Junfang Luo, Dun Liu, Tianrui Li. A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data. Information Sciences, 2022, 601: 287-305.[1] Xin Yang, Yuxuan Yang, Junfang Luo, Dun Liu, Tianrui Li. A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data. Information Sciences, 2022, 601: ...[65]Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu. Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. International Journal of Approximate Reasoning, 2022, 148: 57-67.[1] Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu. Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization. Internation...[66]Qianqian, Huang, Yanyong Huang, Tianrui Li, Xin Yang. Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data. Information Sciences, 2022, 597: 358-391.[68] Qianqian, Huang, Yanyong Huang, Tianrui Li, Xin Yang. Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data. Information Sciences, 2022, 597: 358...[67]Xin Yang, Yujie Li, Qiuke Li, Dun Liu, Tianrui Li. Temporal-spatial three-way granular computing for dynamic text sentiment classification. Information Sciences, 2022, 596: 551-566.[67] Xin Yang, Yujie Li, Qiuke Li, Dun Liu, Tianrui Li. Temporal-spatial three-way granular computing for dynamic text sentiment classification. Information Sciences, 2022, 596: 551-566.[68]Xin Yang, Miaomiao Li, Hamido Fujita, Dun Liu, Tianrui Li. Incremental rough reduction with stable attribute group. Information Sciences, 2022, 589:283–299.[68] Xin Yang, Miaomiao Li, Hamido Fujita, Dun Liu, Tianrui Li. Incremental rough reduction with stable attribute group. Information Sciences, 2022, 589:283–299.[69]Xin Yang, Yujie Li, Dan Meng, Yuxuan Yang, Dun Liu, Tianrui Li. Three-way multi-granularity learning towards open topic classification. Information Sciences, 2022, 585: 41–57.[1] Xin Yang, Yujie Li, Dan Meng, Yuxuan Yang, Dun Liu, Tianrui Li. Three-way multi-granularity learning towards open topic classification. Information Sciences, 2022, 585: 41–57.[70] Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang. Granular cabin: An efficient solution to neighborhood learning in big data. Information Sciences, 583:189–201, 2022.[1] Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang. Granular cabin: An efficient solution to neighborhood learning in big data. Information Sciences, 583:189–201, 2022. ...
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