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ORCIDGuoqiang Zhong 0001
Person information
- affiliation: Ocean University of China, Department of Computer Science and Technology, Qingdao, China
- affiliation (2011 - 2013): University of Quebec, Synchromedia Laboratory for Multimedia Communication in Telepresence, Montreal, Canada
- affiliation (PhD 2011): Chinese Academy of Sciences, Institute of Automation, Beijing, China
Other persons with the same name
- Guoqiang Zhong 0002 — Kyushu University, Graduate School of Information Science and Electrical Engineering, Kasuga, Japan
- Guoqiang Zhong 0003 — Jilin University, College of Electronic Science and Engineering, State Key Laboratory of Integrated Optoelectronics, Changchun, China
- Guoqiang Zhong 0004
![[0000-0002-6235-933X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6235-933X")
— Chinese Academy of Sciences, Institute of Plasma Physics, Hefei, China
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2020 – today
- 2024
[j49]Fengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong, Shu Li, Zhiwei Xu:
Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic Segmentation. Cogn. Comput. 16(1): 366-376 (2024)- [j48]Zhaoxu Ding, Guoqiang Zhong, Xianping Qin, Qingyang Li, Zhenlin Fan, Zhaoyang Deng, Xiao Ling, Wei Xiang:
MF-Net: Multi-frequency intrusion detection network for Internet traffic data. Pattern Recognit. 146: 109999 (2024) - [c44]Mingchen Song, Huiqiang Wang, Guoqiang Zhong:
Self-Prompt Mechanism for Few-Shot Image Recognition. AAAI 2024: 4934-4942 - [c43]Shuo Yin, Guoqiang Zhong:
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis. AAAI 2024: 19404-19412 - 2023
- [j47]Li-Na Wang, Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet:
Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence. Algorithms 16(11): 522 (2023) - [j46]Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong, Guoqiang Zhong:
Deep Error-Correcting Output Codes. Algorithms 16(12): 555 (2023) - [j45]Ke Xu, Guoqiang Zhong, Zhaoyang Deng, Kang Zhang, Kaizhu Huang:
Self-supervised generative learning for sequential data prediction. Appl. Intell. 53(18): 20675-20689 (2023) - [j44]Shu Li, Yuxu Mao, Fuchang Zhang, Dong Wang, Guoqiang Zhong:
DLW-NAS: Differentiable Light-Weight Neural Architecture Search. Cogn. Comput. 15(2): 429-439 (2023) - [j43]Zhaoyang Niu, Guoqiang Zhong, Guohua Yue, Li-Na Wang, Hui Yu, Xiao Ling, Junyu Dong:
Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data. Neurocomputing 517: 1-9 (2023) - [j42]Fengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong, Leon Bevan Bullock, Zhiwei Xu, Junyu Dong:
Lightweight network learning with Zero-Shot Neural Architecture Search for UAV images. Knowl. Based Syst. 260: 110142 (2023) - [j41]Jing Zhu, Qingyang Li, Cui Xie, Guoqiang Zhong:
Ocean Front Detection With Bi-Directional Progressive Fusion Attention Network. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j40]Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu:
Quantum recurrent neural networks for sequential learning. Neural Networks 166: 148-161 (2023) - [c42]Shuo Yin, Guoqiang Zhong:
LGI-GT: Graph Transformers with Local and Global Operators Interleaving. IJCAI 2023: 4504-4512 - [i18]Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu:
Quantum Recurrent Neural Networks for Sequential Learning. CoRR abs/2302.03244 (2023) - [i17]Shangshang Shi, Zhimin Wang, Ruimin Shang, Yanan Li, Jiaxin Li, Guoqiang Zhong, Yongjian Gu:
Hybrid quantum-classical convolutional neural network for phytoplankton classification. CoRR abs/2303.03707 (2023) - 2022
- [j39]Xiangtao Tian, Zhengli Zhao, Peng Jiang, Jianxin Wu, Guoqiang Zhong:
Category Relevance Redirection Network for Few-Shot Classification. IEEE Access 10: 86733-86743 (2022) - [j38]Ya-Nan Wang, Xiangtao Tian, Guoqiang Zhong:
FFNet: Feature Fusion Network for Few-shot Semantic Segmentation. Cogn. Comput. 14(2): 875-886 (2022) - [j37]Zhaoyang Deng, Chenxiang Sun, Guoqiang Zhong, Yuxu Mao:
Text Classification with Attention Gated Graph Neural Network. Cogn. Comput. 14(4): 1464-1473 (2022) - [j36]Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang:
Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network. Cogn. Comput. 14(6): 2306-2316 (2022) - [j35]Qingyang Li, Guoqiang Zhong, Cui Xie, Rachid Hedjam:
Weak Edge Identification Network for Ocean Front Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j34]Jianyuan Sun, Hongchuan Yu, Jian J. Zhang, Junyu Dong, Hui Yu, Guoqiang Zhong:
Face image-sketch synthesis via generative adversarial fusion. Neural Networks 154: 179-189 (2022) - [j33]Ye Yuan, Li-Na Wang, Guoqiang Zhong, Wei Gao, Wencong Jiao, Junyu Dong, Biao Shen, Dongdong Xia, Wei Xiang:
Adaptive Gabor convolutional networks. Pattern Recognit. 124: 108495 (2022) - [j32]Jianyuan Sun, Hui Yu, Guoqiang Zhong, Junyu Dong, Shu Zhang, Hongchuan Yu:
Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency. IEEE Trans. Cybern. 52(1): 205-214 (2022) - [c41]Andi Huang, Guoqiang Zhong, Hao Li, Daewon Choi:
Underwater Object Detection Using Restructured SSD. CICAI (1) 2022: 526-537 - [c40]Zhenchao Chen, Guoqiang Zhong, Jianzhang Qu, Haizhen Wang:
Deep Discriminative Hashing Networks on Point-wise Labels for Image Retrieval. ICPR 2022: 3125-3130 - [c39]Zhaoxu Ding, Xiang Liu, Guoqiang Zhong, Dong Wang:
SteelyGAN: Semantic Unsupervised Symbolic Music Genre Transfer. PRCV (1) 2022: 305-317 - 2021
- [j31]Ying Ma, Guoqiang Zhong, Wen Liu, Yanan Wang, Peng Jiang, Rui Zhang:
ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data. Cogn. Comput. 13(2): 418-430 (2021) - [j30]Xin Lin, Guoqiang Zhong, Kang Chen, Qingyang Li, Kaizhu Huang:
Attention-Augmented Machine Memory. Cogn. Comput. 13(3): 751-760 (2021) - [j29]Qin Zhang, Guoqiang Zhong, Junyu Dong:
A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency. Cogn. Comput. 13(6): 1564-1573 (2021) - [j28]Zhaoyang Niu, Guoqiang Zhong, Hui Yu:
A review on the attention mechanism of deep learning. Neurocomputing 452: 48-62 (2021) - [c38]Yuxu Mao, Guoqiang Zhong, Yanan Wang, Zhaoyang Deng:
Differentiable Light-Weight Architecture Search. ICME 2021: 1-6 - [c37]Xiang Liu, Wenxue Liu, Li-Na Wang, Guoqiang Zhong:
Deep Architecture Compression with Automatic Clustering of Similar Neurons. PRCV (4) 2021: 361-373 - 2020
- [j27]Tao Li, Wencong Jiao, Li-Na Wang, Guoqiang Zhong:
Automatic DenseNet Sparsification. IEEE Access 8: 62561-62571 (2020) - [j26]Ying Ma, Guoqiang Zhong, Wen Liu, Jinxuan Sun, Kaizhu Huang:
Neural CAPTCHA networks. Appl. Soft Comput. 97(Part): 106769 (2020) - [j25]Guoqiang Zhong, Wencong Jiao, Wei Gao, Kaizhu Huang:
Automatic Design of Deep Networks with Neural Blocks. Cogn. Comput. 12(1): 1-12 (2020) - [j24]Guoqiang Zhong, Wenxue Liu, Hui Yao, Tao Li, Jinxuan Sun, Xiang Liu:
Merging Similar Neurons for Deep Networks Compression. Cogn. Comput. 12(3): 577-588 (2020) - [j23]Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu Dong, Cheng-Lin Liu:
DNA computing inspired deep networks design. Neurocomputing 382: 140-147 (2020) - [j22]Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Kaizhu Huang:
Generative adversarial networks with mixture of t-distributions noise for diverse image generation. Neural Networks 122: 374-381 (2020) - [j21]Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang, Da-Han Wang, Kaizhu Huang:
Generative adversarial networks with decoder-encoder output noises. Neural Networks 127: 19-28 (2020) - [j20]Li-Na Wang, Wenxue Liu, Xiang Liu, Guoqiang Zhong, Partha Pratim Roy, Junyu Dong, Kaizhu Huang:
Compressing Deep Networks by Neuron Agglomerative Clustering. Sensors 20(21): 6033 (2020) - [c36]Zhenlin Fan, Guoqiang Zhong, Haitao Li:
A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection. ICONIP (1) 2020: 51-61 - [c35]Qingyang Li, Zhenlin Fan, Guoqiang Zhong:
BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection. ICONIP (4) 2020: 312-319 - [c34]Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang:
Feature Redirection Network for Few-Shot Classification. ICONIP (4) 2020: 418-425 - [c33]Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang:
MCRN: A New Content-Based Music Classification and Recommendation Network. ICONIP (4) 2020: 771-779 - [c32]Zhenlin Fan, Guoqiang Zhong, Hongxu Wei, Haitao Li:
EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data. IJCNN 2020: 1-7 - [c31]Ying Ma, Guoqiang Zhong, Yanan Wang, Wen Liu:
MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data. IJCNN 2020: 1-7 - [i16]Jinxuan Sun, Yang Chen, Junyu Dong, Guoqiang Zhong:
Progressively Unfreezing Perceptual GAN. CoRR abs/2006.10250 (2020)
2010 – 2019
- 2019
- [j19]Guoqiang Zhong, Kang Zhang, Hongxu Wei, Yuchen Zheng, Junyu Dong:
Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models. IEEE Access 7: 30220-30233 (2019) - [j18]Xiang Liu, Li-Na Wang, Wenxue Liu, Guoqiang Zhong:
Incremental Layers Resection: A Novel Method to Compress Neural Networks. IEEE Access 7: 172167-172177 (2019) - [j17]Guoqiang Zhong, Xiao Ling, Li-Na Wang:
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures. WIREs Data Mining Knowl. Discov. 9(1) (2019) - [c30]Guoqiang Zhong, Guohua Yue:
Attention Recurrent Neural Networks for Image-Based Sequence Text Recognition. ACPR (1) 2019: 793-806 - [c29]Guoqiang Zhong, Xin Lin, Kang Chen, Qingyang Li, Kaizhu Huang:
Long Short-Term Attention. BICS 2019: 45-54 - [c28]Yang Chen, Jinxuan Sun, Wencong Jiao, Guoqiang Zhong:
Recovering Super-Resolution Generative Adversarial Network for Underwater Images. ICONIP (4) 2019: 75-83 - [c27]Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang:
AutoML for DenseNet Compression. ICONIP (3) 2019: 151-161 - [c26]Guoqiang Zhong, Wei Gao, Wencong Jiao, Biao Shen, Dongdong Xia:
Learnable Gabor Convolutional Networks. ICONIP (4) 2019: 305-313 - [c25]Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang:
Enhanced LSTM with Batch Normalization. ICONIP (1) 2019: 746-755 - [i15]Qingyang Li, Guoqiang Zhong, Cui Xie:
Weak Edge Identification Nets for Ocean Front Detection. CoRR abs/1909.07827 (2019) - [i14]Zhenlin Fan, Guoqiang Zhong:
SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data. CoRR abs/1909.13411 (2019) - 2018
- [j16]Guoqiang Zhong, Shoujun Yan, Kaizhu Huang, Yajuan Cai, Junyu Dong:
Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification. Cogn. Comput. 10(1): 179-186 (2018) - [j15]Xiaopeng Liu, Guoqiang Zhong, Junyu Dong:
Natural image illuminant estimation via deep non-negative matrix factorisation. IET Image Process. 12(1): 121-125 (2018) - [j14]Qin Zhang, Guoqiang Zhong, Junyu Dong:
An anchor-based spectral clustering method. Frontiers Inf. Technol. Electron. Eng. 19(11): 1385-1396 (2018) - [j13]Jianyuan Sun, Guoqiang Zhong, Kaizhu Huang, Junyu Dong:
Banzhaf random forests: Cooperative game theory based random forests with consistency. Neural Networks 106: 20-29 (2018) - [j12]Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu:
SLMOML: Online Metric Learning With Global Convergence. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2460-2472 (2018) - [c24]Guoqiang Zhong, Haizhen Wang, Wencong Jiao:
MusicCNNs: A New Benchmark on Content-Based Music Recommendation. ICONIP (1) 2018: 394-405 - [c23]Guoqiang Zhong, Yan Zheng, Xu-Yao Zhang, Hongxu Wei, Xiao Ling:
Convolutional Discriminant Analysis. ICPR 2018: 1456-1461 - [c22]Guoqiang Zhong, Hui Yao, Huiyu Zhou:
Merging Neurons for Structure Compression of Deep Networks. ICPR 2018: 1462-1467 - [c21]Kang Zhang, Guoqiang Zhong, Junyu Dong, Shengke Wang, Yong Wang:
Stock Market Prediction Based on Generative Adversarial Network. IIKI 2018: 400-406 - [c20]Lina Wang, Benxiu Liu, Haizhen Wang, Guoqiang Zhong, Junyu Dong:
Deep Gabor Scattering Network for Image Classification. PRCV (2) 2018: 332-343 - [i13]Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang:
Generative Adversarial Networks with Decoder-Encoder Output Noise. CoRR abs/1807.03923 (2018) - [i12]Guoqiang Zhong, Tao Li, Wenxue Liu, Yang Chen:
Structure Learning of Deep Networks via DNA Computing Algorithm. CoRR abs/1810.10687 (2018) - [i11]Guoqiang Zhong, Xin Lin, Kang Chen:
Long Short-Term Attention. CoRR abs/1810.12752 (2018) - [i10]Guoqiang Zhong, Guohua Yue, Xiao Ling:
Recurrent Attention Unit. CoRR abs/1810.12754 (2018) - [i9]Guoqiang Zhong, Wencong Jiao, Wei Gao:
Structure Learning of Deep Neural Networks with Q-Learning. CoRR abs/1810.13155 (2018) - [i8]Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Zhongwen Guo:
Student's t-Generative Adversarial Networks. CoRR abs/1811.02132 (2018) - 2017
- [j11]Jianyuan Sun, Guoqiang Zhong, Junyu Dong, Hina Saeeda, Qin Zhang:
Cooperative Profit Random Forests With Application in Ocean Front Recognition. IEEE Access 5: 1398-1408 (2017) - [j10]Xiaopeng Liu, Guoqiang Zhong, Cong Liu, Junyu Dong:
Underwater image colour constancy based on DSNMF. IET Image Process. 11(1): 38-43 (2017) - [j9]Qin Zhang, Jianyuan Sun, Guoqiang Zhong, Junyu Dong:
Random Multi-Graphs: A semi-supervised learning framework for classification of high dimensional data. Image Vis. Comput. 60: 30-37 (2017) - [j8]Partha Pratim Roy, Guoqiang Zhong, Mohamed Cheriet:
Tandem hidden Markov models using deep belief networks for offline handwriting recognition. Frontiers Inf. Technol. Electron. Eng. 18(7): 978-988 (2017) - [j7]Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun:
Prediction of Sea Surface Temperature Using Long Short-Term Memory. IEEE Geosci. Remote. Sens. Lett. 14(10): 1745-1749 (2017) - [j6]Feng Gao, Xiaopeng Liu, Junyu Dong, Guoqiang Zhong, Muwei Jian:
Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks. Remote. Sens. 9(5): 435 (2017) - [c19]Guoqiang Zhong, Hongxu Wei, Yuchen Zheng, Junyu Dong:
Marginal Deep Architectures. ACPR 2017: 559-564 - [c18]Yanhai Gan, Huifang Chi, Ying Gao, Jun Liu, Guoqiang Zhong, Junyu Dong:
Perception driven texture generation. ICME 2017: 889-894 - [i7]Yanhai Gan, Huifang Chi, Ying Gao, Jun Liu, Guoqiang Zhong, Junyu Dong:
Perception Driven Texture Generation. CoRR abs/1703.09784 (2017) - [i6]Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun:
Prediction of Sea Surface Temperature using Long Short-Term Memory. CoRR abs/1705.06861 (2017) - 2016
- [j5]Heng Zhang, Guoqiang Zhong:
Improving short text classification by learning vector representations of both words and hidden topics. Knowl. Based Syst. 102: 76-86 (2016) - [c17]Guoqiang Zhong, Xiao Ling:
The Necessary and Sufficient Conditions for the Existence of the Optimal Solution of Trace Ratio Problems. CCPR (1) 2016: 742-751 - [c16]Guoqiang Zhong, Hui Xu, Pan Yang, Sijiang Wang, Junyu Dong:
Deep hashing learning networks. IJCNN 2016: 2236-2243 - [c15]Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet:
Relational Fisher Analysis: A general framework for dimensionality reduction. IJCNN 2016: 2244-2251 - [c14]Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu:
Scalable large margin online metric learning. IJCNN 2016: 2252-2259 - [c13]Jianwen Lou, Lin Qi, Junyu Dong, Hui Yu, Guoqiang Zhong:
Learning perceptual texture similarity and relative attributes from computational features. IJCNN 2016: 2540-2546 - [i5]Guoqiang Zhong, Lina Wang, Junyu Dong:
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning. CoRR abs/1611.08331 (2016) - 2015
- [j4]Guoqiang Zhong, Mohamed Cheriet:
Tensor representation learning based image patch analysis for text identification and recognition. Pattern Recognit. 48(4): 1211-1224 (2015) - [c12]Pan Yang, Haoran Zhao, Lin Qi, Guoqiang Zhong:
Self-taught recovery of depth data. APSIPA 2015: 1270-1275 - [c11]Guoqiang Zhong, Xin Mao, Yaxin Shi, Junyu Dong:
3D Texture Recognition for RGB-D Images. CAIP (2) 2015: 518-528 - [c10]Yuchen Zheng, Yajuan Cai, Guoqiang Zhong, Youssouf Chherawala, Yaxin Shi, Junyu Dong:
Stretching deep architectures for text recognition. ICDAR 2015: 236-240 - [c9]Yajuan Cai, Guoqiang Zhong, Yuchen Zheng, Kaizhu Huang, Junyu Dong:
Is DeCAF Good Enough for Accurate Image Classification? ICONIP (2) 2015: 354-363 - [i4]Yanhai Gan, Jun Liu, Junyu Dong, Guoqiang Zhong:
A PCA-Based Convolutional Network. CoRR abs/1505.03703 (2015) - [i3]Guoqiang Zhong, Pan Yang, Sijiang Wang, Junyu Dong:
A Deep Hashing Learning Network. CoRR abs/1507.04437 (2015) - [i2]Jianyuan Sun, Guoqiang Zhong, Junyu Dong, Yajuan Cai:
Banzhaf Random Forests. CoRR abs/1507.06105 (2015) - 2014
- [j3]Guoqiang Zhong, Mohamed Cheriet:
Large Margin Low Rank Tensor Analysis. Neural Comput. 26(4): 761-780 (2014) - [c8]Chengcheng Jia, Guoqiang Zhong, Yun Raymond Fu:
Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery. AAAI 2014: 1228-1234 - [c7]Yuchen Zheng, Guoqiang Zhong, Jun Liu, Xiaoxu Cai, Junyu Dong:
Visual Texture Perception with Feature Learning Models and Deep Architectures. CCPR (1) 2014: 401-410 - [p1]Guoqiang Zhong, Mohamed Cheriet:
Low Rank Tensor Manifold Learning. Low-Rank and Sparse Modeling for Visual Analysis 2014: 133-150 - 2013
- [j2]Guoqiang Zhong, Cheng-Lin Liu:
Error-correcting output codes based ensemble feature extraction. Pattern Recognit. 46(4): 1091-1100 (2013) - [c6]Guoqiang Zhong, Youssouf Chherawala, Mohamed Cheriet:
An Empirical Evaluation of Supervised Dimensionality Reduction for Recognition. ICDAR 2013: 1315-1319 - [c5]Guoqiang Zhong, Mohamed Cheriet:
Adaptive Error-Correcting Output Codes. IJCAI 2013: 1932-1938 - [i1]Guoqiang Zhong, Mohamed Cheriet:
Large Margin Low Rank Tensor Analysis. CoRR abs/1306.2663 (2013) - 2012
- [j1]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Joint learning of error-correcting output codes and dichotomizers from data. Neural Comput. Appl. 21(4): 715-724 (2012) - [c4]Guoqiang Zhong, Mohamed Cheriet:
Image patches analysis for text block identification. ISSPA 2012: 1241-1246 - 2011
- [c3]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Low Rank Metric Learning with Manifold Regularization. ICDM 2011: 1266-1271 - 2010
- [c2]Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu:
Gaussian Process Latent Random Field. AAAI 2010: 679-684 - [c1]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu:
Learning ECOC and Dichotomizers Jointly from Data. ICONIP (1) 2010: 494-502
Coauthor Index
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