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Hong-Tao Lu
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2020 – today
- 2022
[j64]Tamam Alsarhan
, Usman Ali, Hongtao Lu:
Enhanced discriminative graph convolutional network with adaptive temporal modelling for skeleton-based action recognition. Comput. Vis. Image Underst. 216: 103348 (2022)- [c122]Zhaozhi Xie, Hongtao Lu:
Exploring Category Consistency for Weakly Supervised Semantic Segmentation. ICASSP 2022: 2609-2613 - [c121]Zijun Zhuang, Hongtao Lu:
Coneface: Approximate Pairwise Loss for Face Recognition. ICASSP 2022: 2949-2953 - [i32]Huayi Zhou, Fei Jiang, Hongtao Lu:
student dangerous behavior detection in school. CoRR abs/2202.09550 (2022) - [i31]Xiaoshuang Chen, Hongtao Lu:
Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting. CoRR abs/2202.10681 (2022) - [i30]Bayram Bayramli, Junhwa Hur, Hongtao Lu:
RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer. CoRR abs/2205.01568 (2022) - 2021
- [j63]Ran Wei, Yaoyi Li, Haiyan Li, Ze Tang, Hongtao Lu, Nengbin Cai, Xuejun Zhao:
A Robust and Effective Text Detector Supervised by Contrastive Learning. IEEE Access 9: 26431-26441 (2021) - [j62]Jiaxin Si, Fei Jiang, Ruimin Shen, Hongtao Lu:
Small and accurate heatmap-based face alignment via distillation strategy and cascaded architecture. Comput. Vis. Image Underst. 203: 103125 (2021) - [j61]Yaoyi Li, Hongtao Lu:
Multi-modal constraint propagation via compatible conditional distribution reconstruction. Neurocomputing 426: 185-194 (2021) - [j60]Usman Ali, Bayram Bayramli, Tamam Alsarhan, Hongtao Lu:
A lightweight network for monocular depth estimation with decoupled body and edge supervision. Image Vis. Comput. 113: 104261 (2021) - [j59]Luay Alawneh, Tamam Alsarhan, Mohammad Al-Zinati, Mahmoud Al-Ayyoub, Yaser Jararweh, Hongtao Lu:
Enhancing human activity recognition using deep learning and time series augmented data. J. Ambient Intell. Humaniz. Comput. 12(12): 10565-10580 (2021) - [j58]Xiaohua Shi, Kaicheng Tang, Hongtao Lu:
Smart library book sorting application with intelligence computer vision technology. Libr. Hi Tech 39(1): 220-232 (2021) - [c120]Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu:
Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. BMVC 2021: 280 - [c119]Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang:
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. CIKM 2021: 382-391 - [c118]Yi Yang, Fei Jiang, Hongtao Lu:
Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive Imaging. ICASSP 2021: 1890-1894 - [c117]Deyang Wu, Xingfei Hu, Zhaozhi Xie, Haiyan Li, Usman Ali, Hongtao Lu:
Text Detection by Jointly Learning Character and Word Regions. ICDAR (1) 2021: 304-318 - [c116]Xingfei Hu, Deyang Wu, Haiyan Li, Fei Jiang, Hongtao Lu:
ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-Aware Supervision Information. ICONIP (1) 2021: 633-644 - [c115]Jia Long, Hongtao Lu:
Generative Adversarial Networks with Bi-directional Normalization for Semantic Image Synthesis. ICMR 2021: 219-226 - [c114]Jia Long, Hongtao Lu:
Multi-level Gate Feature Aggregation with Spatially Adaptive Batch-Instance Normalization for Semantic Image Synthesis. MMM (1) 2021: 378-390 - [c113]Jian Wang, Yaoyi Li, Hongtao Lu:
Spatial Gradient Guided Learning and Semantic Relation Transfer for Facial Landmark Detection. MMM (1) 2021: 678-690 - [c112]Tamam Alsarhan, Hongtao Lu:
Collaborative Positional-Motion Excitation Module for Efficient Action Recognition. PRICAI (3) 2021: 138-151 - [c111]Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding:
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. WWW 2021: 449-459 - [i29]Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding:
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. CoRR abs/2103.10693 (2021) - [i28]Xiaoshuang Chen, Yiru Zhao, Yu Qin, Fei Jiang, Mingyuan Tao, Xiansheng Hua, Hongtao Lu:
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting. CoRR abs/2111.00406 (2021) - [i27]Runyuan Cai, Yue Ding, Hongtao Lu:
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform. CoRR abs/2111.10800 (2021) - [i26]Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting. CoRR abs/2112.00510 (2021) - 2020
- [j57]Haiyan Li, Hongtao Lu:
AT-Text: Assembling Text Components for Efficient Dense Scene Text Detection. Future Internet 12(11): 200 (2020) - [j56]Yiru Zhao, Hongtao Lu:
Neighbor similarity and soft-label adaptation for unsupervised cross-dataset person re-identification. Neurocomputing 388: 246-254 (2020) - [c110]Yaoyi Li, Hongtao Lu:
Natural Image Matting via Guided Contextual Attention. AAAI 2020: 11450-11457 - [c109]Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu:
Show, Recall, and Tell: Image Captioning with Recall Mechanism. AAAI 2020: 12176-12183 - [c108]Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo:
Learning Texture Transformer Network for Image Super-Resolution. CVPR 2020: 5790-5799 - [c107]Meng Zhou, Yaoyi Li, Hongtao Lu:
Ensemble-Based Deep Metric Learning for Few-Shot Learning. ICANN (1) 2020: 406-418 - [c106]Zefeng Zhang, Hao Feng, Shaoyou Pan, Muyang Yi, Hongtao Lu:
Missing Frame Detection of Surveillance Videos Based on Deep Learning in Forensic Science. ICCAI 2020: 298-304 - [c105]Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu:
LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. ICME Workshops 2020: 1-6 - [c104]Yaoyi Li, Jianfu Zhang, Weijie Zhao, Weihao Jiang, Hongtao Lu:
Inductive Guided Filter: Real-Time Deep Matting with Weakly Annotated Masks on Mobile Devices. ICME 2020: 1-6 - [c103]Chang Liu, Hongtao Lu:
A Highly Efficient Training-Aware Convolutional Neural Network Compression Paradigm. ICME Workshops 2020: 1-6 - [c102]Wencai Zhong, Wei Wang, Hongtao Lu:
Denstity Level Aware Network for Crowd Counting. ICONIP (1) 2020: 266-277 - [c101]Dafeng Wei, Hongtao Lu, Yi Zhou, Kai Chen:
Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset. ICPR 2020: 5123-5129 - [i25]Yaoyi Li, Hongtao Lu:
Natural Image Matting via Guided Contextual Attention. CoRR abs/2001.04069 (2020) - [i24]Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu:
Show, Recall, and Tell: Image Captioning with Recall Mechanism. CoRR abs/2001.05876 (2020) - [i23]Yaoyi Li, Qingyao Xu, Hongtao Lu:
Hierarchical Opacity Propagation for Image Matting. CoRR abs/2004.03249 (2020) - [i22]Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu:
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. CoRR abs/2006.02706 (2020) - [i21]Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo:
Learning Texture Transformer Network for Image Super-Resolution. CoRR abs/2006.04139 (2020) - [i20]Usman Ali, Bayram Bayramli, Hongtao Lu:
Temporal Continuity Based Unsupervised Learning for Person Re-Identification. CoRR abs/2009.00242 (2020)
2010 – 2019
- 2019
- [j55]Hongbin Yu, Hongtao Lu, Shuihua Wang, Kaijian Xia, Yizhang Jiang, Pengjiang Qian:
A General Common Spatial Patterns for EEG Analysis With Applications to Vigilance Detection. IEEE Access 7: 111102-111114 (2019) - [j54]Xiaohua Shi, Hongtao Lu:
Community detection in scientific collaborative network with bayesian matrix learning. Frontiers Comput. Sci. 13(1): 212-214 (2019) - [c100]Xiaohua Shi, Yin Qian, Hongtao Lu:
Community Detection in Knowledge Graph Network with Matrix Factorization Learning. APWeb/WAIM Workshops 2019: 37-51 - [c99]Haotian Tang, Yiru Zhao, Hongtao Lu:
Unsupervised Person Re-Identification With Iterative Self-Supervised Domain Adaptation. CVPR Workshops 2019: 1536-1543 - [c98]Yiru Zhao, Xu Shen, Zhongming Jin, Hongtao Lu, Xian-Sheng Hua:
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification. CVPR 2019: 4913-4922 - [c97]Yu Qin, Jiajun Du, Yonghua Zhang, Hongtao Lu:
Look Back and Predict Forward in Image Captioning. CVPR 2019: 8367-8375 - [c96]Xiaohua Shi, Zhuoyuan Xing, Hongtao Lu:
Data Quality Management in Institutional Research Output Data Center. DASFAA Workshops 2019: 142-157 - [c95]Xiaoyi He, Mingzhou Liu, Weiyao Lin, Xintong Han, Yanmin Zhu, Hongtao Lu, Hongkai Xiong:
A Multimodal Lossless Coding Method for Skeletons in Videos. ICME Workshops 2019: 132-137 - [c94]Bayram Bayramli, Usman Ali, Te Qi, Hongtao Lu:
FH-GAN: Face Hallucination and Recognition Using Generative Adversarial Network. ICONIP (1) 2019: 3-15 - [c93]Zhenru Li, Yaoyi Li, Hongtao Lu:
Improve Image Captioning by Self-attention. ICONIP (5) 2019: 91-98 - [c92]Usman Ali, Bayram Bayramli, Hongtao Lu:
Temporal Continuity Based Unsupervised Learning for Person Re-identification. ICONIP (5) 2019: 770-778 - [c91]Jiajun Du, Yu Qin, Hongtao Lu:
Network Search for Binary Networks. IJCNN 2019: 1-8 - [c90]Yu Qin, Jiajun Du, Xinyao Wang, Hongtao Lu:
Recurrent Layer Aggregation using LSTM. IJCNN 2019: 1-8 - [i19]Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu, Hongtao Lu, Yichen Wei, Jian Sun:
Rethinking on Multi-Stage Networks for Human Pose Estimation. CoRR abs/1901.00148 (2019) - [i18]Te Qi, Bayram Bayramli, Usman Ali, Qinchuan Zhang, Hongtao Lu:
Spatial Shortcut Network for Human Pose Estimation. CoRR abs/1904.03141 (2019) - [i17]Mingzhou Liu, Xiaoyi He, Weiyao Lin, Xintong Han, Yanmin Zhu, Hongtao Lu, Hongkai Xiong:
A multimodal lossless coding method for skeletons in videos. CoRR abs/1905.01790 (2019) - [i16]Bayram Bayramli, Usman Ali, Te Qi, Hongtao Lu:
FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network. CoRR abs/1905.06537 (2019) - [i15]Yaoyi Li, Jianfu Zhang, Weijie Zhao, Hongtao Lu:
Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices. CoRR abs/1905.06747 (2019) - 2018
- [j53]Yaoyi Li, Hongtao Lu:
On Multi-modal Fusion Learning in constraint propagation. Inf. Sci. 462: 204-217 (2018) - [c89]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination. AAAI 2018: 3326-3333 - [c88]Wenbo Li, Ze Chen, Zhenyong Fu, Hongtao Lu:
Multilevel Collaborative Attention Network for Person Search. ACCV (1) 2018: 467-482 - [c87]Yiru Zhao, Zhongming Jin, Guo-Jun Qi, Hongtao Lu, Xian-Sheng Hua:
An Adversarial Approach to Hard Triplet Generation. ECCV (9) 2018: 508-524 - [c86]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Anisotropic Total Variation Regularized Low-Rank Tensor Completion Based On Tensor Nuclear Norm for Color Image Inpainting. ICASSP 2018: 1363-1367 - [c85]Deyi Ji, Hongtao Lu, Tongzhen Zhang:
End to end multi-scale convolutional neural network for crowd counting. ICMV 2018: 110412S - [c84]Te Qi, Hongtao Lu, Huiyu Weng:
Modeling long range relations by feature translation. ICMV 2018: 110412D - [c83]Kaichen Tang, Hongtao Lu, Xiaohua Shi:
Image Recognition with Deep Learning for Library Book Identification. PCM (3) 2018: 684-696 - [i14]Jiajun Du, Yu Qin, Hongtao Lu, Yonghua Zhang:
Attend More Times for Image Captioning. CoRR abs/1812.03283 (2018) - 2017
- [j52]Hongtao Lu, Chuan Huang, Shihai Shao, Youxi Tang:
Novel multi-tap analog self-interference cancellation architecture with shared phase-shifter for full-duplex communications. Sci. China Inf. Sci. 60(10): 102302:1-102302:16 (2017) - [j51]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search. IEEE Trans. Multim. 19(8): 1785-1797 (2017) - [c82]Zihao Hu, Junxuan Chen, Hongtao Lu, Tongzhen Zhang:
Bayesian Supervised Hashing. CVPR 2017: 3288-3295 - [c81]Xiaohua Shi, Hongtao Lu, Guanbo Jia:
Adaptive Overlapping Community Detection with Bayesian NonNegative Matrix Factorization. DASFAA (2) 2017: 339-353 - [c80]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Graph regularized tensor sparse coding for image representation. ICME 2017: 67-72 - [c79]Shicong Liu, Hongtao Lu:
Quantizable deep representation learning with gradient snapping layer for large scale search. ICME 2017: 121-126 - [c78]Shicong Liu, Hongtao Lu:
Space shuttle model: A physics inspired method for learning quantizable deep representations. ICME 2017: 1380-1385 - [c77]Bo Huang, Hualong Huang, Hongtao Lu:
Convolutional Gated Recurrent Units Fusion for Video Action Recognition. ICONIP (3) 2017: 114-123 - [c76]Hualong Huang, Bo Huang, Hongtao Lu, Huiyu Weng:
Stereo Matching Using Conditional Adversarial Networks. ICONIP (3) 2017: 124-132 - [c75]Shicong Liu, Hongtao Lu:
Learning deep representations with diode loss for quantization-based similarity search. IJCNN 2017: 2282-2289 - [c74]Yurun Shen, Hongtao Lu, Jie Jia:
Classification of Motor Imagery EEG Signals with Deep Learning Models. IScIDE 2017: 181-190 - [c73]Yiru Zhao, Bing Deng, Jianqiang Huang, Hongtao Lu, Xian-Sheng Hua:
Stylized Adversarial AutoEncoder for Image Generation. ACM Multimedia 2017: 244-251 - [c72]Yiru Zhao, Bing Deng, Chen Shen, Yao Liu, Hongtao Lu, Xian-Sheng Hua:
Spatio-Temporal AutoEncoder for Video Anomaly Detection. ACM Multimedia 2017: 1933-1941 - [i13]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Graph Regularized Tensor Sparse Coding for Image Representation. CoRR abs/1703.09342 (2017) - [i12]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination. CoRR abs/1703.09690 (2017) - [i11]Zihao Hu, Xiyi Luo, Hongtao Lu, Yong Yu:
Supervised Hashing based on Energy Minimization. CoRR abs/1712.00573 (2017) - 2016
- [j50]Hongtao Lu, Shihai Shao, Kai Deng, Youxi Tang:
Self-mixed self-interference analog cancellation in full-duplex communications. Sci. China Inf. Sci. 59(4): 042303:1-042303:14 (2016) - [j49]Xianzhong Long, Hongtao Lu, Yong Peng, Xianzhong Wang, Shaokun Feng:
Image classification based on improved VLAD. Multim. Tools Appl. 75(10): 5533-5555 (2016) - [j48]Hong-Bin Yu, Hongtao Lu:
Orthogonal optimal reverse prediction for semi-supervised learning. Pattern Recognit. 60: 908-920 (2016) - [c71]Xiaohua Shi, Hongtao Lu:
Community Inference with Bayesian Non-negative Matrix Factorization. APWeb (1) 2016: 208-219 - [c70]Hongtao Lu, Shihai Shao, Youxi Tang:
A low-cost digital self-interference cancellation structure for full-duplex communications. EUSIPCO 2016: 2355-2359 - [c69]Hongtao Lu, Chuan Huang, Martin Taranetz, Stefan Schwarz, Shihai Shao:
Quadrature Down-Conversion Based Analog Self-Interference Cancellation for Continuous Wave Radars. GLOBECOM Workshops 2016: 1-6 - [c68]Shicong Liu, Junru Shao, Hongtao Lu:
Aggregating Tree for Searching in Billion Scale High Dimensional Data. ICDM Workshops 2016: 748-755 - [c67]Junxuan Chen, Yaoyi Li, Hongtao Lu:
Online self-organizing hashing. ICME 2016: 1-6 - [c66]Yaoyi Li, Junxuan Chen, Yiru Zhao, Hongtao Lu:
Adaptive affinity matrix for unsupervised metric learning. ICME 2016: 1-6 - [c65]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized residual vector quantization for large scale data. ICME 2016: 1-6 - [c64]Shicong Liu, Junru Shao, Hongtao Lu:
Accelerated distance computation with encoding tree/forest for high dimensional data. ICMLC 2016: 495-501 - [c63]Mingxuan Di, Guang Yang, Qinchuan Zhang, Kang Fu, Hongtao Lu:
Fast Visual Object Tracking Using Convolutional Filters. ICONIP (2) 2016: 652-662 - [c62]Qi Liu, Hongtao Lu:
Natural Supervised Hashing. IJCAI 2016: 1788-1794 - [c61]Yiru Zhao, Yaoyi Li, Zhiwen Shao, Hongtao Lu:
LSOD: Local Sparse Orthogonal Descriptor for Image Matching. ACM Multimedia 2016: 232-236 - [c60]Junxuan Chen, Baigui Sun, Hao Li, Hongtao Lu, Xian-Sheng Hua:
Deep CTR Prediction in Display Advertising. ACM Multimedia 2016: 811-820 - [c59]Hongtao Lu, Shihai Shao, Youxi Tang:
Improving the dynamic range of the digitizing stage in full-duplex radios. WOCC 2016: 1-5 - [i10]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized residual vector quantization for large scale data. CoRR abs/1609.05345 (2016) - [i9]Junxuan Chen, Baigui Sun, Hao Li, Hongtao Lu, Xian-Sheng Hua:
Deep CTR Prediction in Display Advertising. CoRR abs/1609.06018 (2016) - [i8]Yaoyi Li, Hongtao Lu:
Multi-View Constraint Propagation with Consensus Prior Knowledge. CoRR abs/1609.06456 (2016) - [i7]Shicong Liu, Hongtao Lu:
Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search. CoRR abs/1610.09645 (2016) - 2015
- [j47]Zhenyong Fu, Zhiwu Lu, Horace H. S. Ip, Hongtao Lu, Yunyun Wang:
Local similarity learning for pairwise constraint propagation. Multim. Tools Appl. 74(11): 3739-3758 (2015) - [j46]Yangcheng He, Hongtao Lu, Lei Huang, Xiaohua Shi:
Non-negative Matrix Factorization with Pairwise Constraints and Graph Laplacian. Neural Process. Lett. 42(1): 167-185 (2015) - [c58]Xiaohua Shi, Hongtao Lu, Yangcheng He, Shan He:
Community Detection in Social Network with Pairwisely Constrained Symmetric Non-Negative Matrix Factorization. ASONAM 2015: 541-546 - [c57]Yangcheng He, Hongtao Lu, Bao-Liang Lu:
Graph regularized non-negative local coordinate factorization with pairwise constraints for image representation. ICME 2015: 1-6 - [c56]Li Wu, Kang Zhao, Hongtao Lu, Zhen Wei, Bao-Liang Lu:
Distance Preserving Marginal Hashing for image retrieval. ICME 2015: 1-6 - [c55]Pan Chen, Yangcheng He, Hongtao Lu, Li Wu:
Constrained Non-negative Matrix Factorization with Graph Laplacian. ICONIP (3) 2015: 635-644 - [i6]Shicong Liu, Hongtao Lu:
Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing. CoRR abs/1507.01442 (2015) - [i5]Shicong Liu, Junru Shao, Hongtao Lu:
Accelerated Distance Computation with Encoding Tree for High Dimensional Data. CoRR abs/1509.05186 (2015) - [i4]Shicong Liu, Junru Shao, Hongtao Lu:
HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search. CoRR abs/1509.05194 (2015) - [i3]Shicong Liu, Hongtao Lu, Junru Shao:
Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search. CoRR abs/1509.05195 (2015) - [i2]Xuan Luo, Xuejiao Bai, Shuo Li, Hongtao Lu, Sei-ichiro Kamata:
Fast Non-local Stereo Matching based on Hierarchical Disparity Prediction. CoRR abs/1509.08197 (2015) - [i1]Yaoyi Li, Junxuan Chen, Hongtao Lu:
Adaptive Affinity Matrix for Unsupervised Metric Learning. CoRR abs/1511.04153 (2015) - 2014
- [j45]Xin Shu, Hongtao Lu:
Linear discriminant analysis with spectral regularization. Appl. Intell. 40(4): 724-731 (2014) - [j44]James T. Kwok, Liqing Zhang, Hongtao Lu:
Selected papers from the 2011 International Conference on Neural Information Processing (ICONIP 2011). Neurocomputing 129: 1-2 (2014) - [j43]