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Naiyang Guan
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2020 – today
- 2024
- [j14]Junjie Zhu, Yiying Li, Ke Yang, Naiyang Guan, Zunlin Fan, Chunping Qiu, Xiaodong Yi:
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [c46]Yujie Miao, Xiaodong Yi, Naiyang Guan, Hailun Lu:
DGAT-net: Dynamic Graph Attention for 3D Point Cloud Semantic Segmentation. ICIC (11) 2024: 253-265 - 2023
- [j13]Junjie Zhu, Ke Yang, Naiyang Guan, Xiaodong Yi, Chunping Qiu:
HCPNet: Learning discriminative prototypes for few-shot remote sensing image scene classification. Int. J. Appl. Earth Obs. Geoinformation 123: 103447 (2023) - [j12]Chunping Qiu, Anzhu Yu, Xiaodong Yi, Naiyang Guan, Dianxi Shi, Xiaochong Tong:
Open Self-Supervised Features for Remote-Sensing Image Scene Classification Using Very Few Samples. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c45]Hang Cheng, Naiyang Guan, Jiangang Wu, Yujie Miao, Hao Li:
Learning High-Quality Bounding Box for Rotated Object Detection via Rotated Cascade Region Proposal Network. CCRIS 2023: 81-88 - [c44]Kaihui Cheng, Chule Yang, Zunlin Fan, Dayan Wu, Naiyang Guan:
TeAw: Text-Aware Few-Shot Remote Sensing Image Scene Classification. ICASSP 2023: 1-5 - [c43]Zhao Song, Ke Yang, Naiyang Guan, Junjie Zhu, Peng Qiao, Qingyong Hu:
VPPT: Visual Pre-Trained Prompt Tuning Framework for Few-Shot Image Classification. ICASSP 2023: 1-5 - [c42]Junjie Zhu, Ke Yang, Chunping Qiu, Mengyuan Dai, Naiyang Guan, Xiaodong Yi:
Hybrid Contrastive Prototypical Network for Few-Shot Scene Classification. ICIP 2023: 3588-3592 - [i4]Zhao Song, Ke Yang, Naiyang Guan, Junjie Zhu, Peng Qiao, Qingyong Hu:
PVP: Pre-trained Visual Parameter-Efficient Tuning. CoRR abs/2304.13639 (2023) - [i3]Junjie Zhu, Yiying Li, Chunping Qiu, Ke Yang, Naiyang Guan, Xiaodong Yi:
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification. CoRR abs/2309.09276 (2023) - 2022
- [j11]Chao Zhang, Chule Yang, Kaihui Cheng, Naiyang Guan, Hongbin Dong, Baosong Deng:
MSIF: Multisize Inference Fusion-Based False Alarm Elimination for Ship Detection in Large-Scale SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - 2021
- [c41]Guowei Wang, Naiyang Guan, Hanjia Ye, Xiaodong Yi, Hang Cheng, Junjie Zhu:
Channel-Wise Mix-Fusion Deep Neural Networks for Zero-Shot Learning. ICASSP 2021: 3185-3189 - 2020
- [j10]Canqun Yang, Naiyang Guan:
Correlation maximization machine for multi-modalities multiclass classification. Pattern Anal. Appl. 23(1): 349-358 (2020) - [c40]Junjie Zhu, Xiaodong Yi, Naiyang Guan, Hang Cheng:
Robust Re-weighting Prototypical Networks for Few-Shot Classification. ICRAI 2020: 140-146
2010 – 2019
- 2019
- [j9]Liujing Wang, Naiyang Guan, Dianxi Shi, Zunlin Fan, Longfei Su:
Robust Semi-Supervised Non-Negative Matrix Factorization With Structured Normalization. IEEE Access 7: 133996-134013 (2019) - [j8]Haotian Wang, Wenjing Yang, Naiyang Guan:
Cauchy sparse NMF with manifold regularization: A robust method for hyperspectral unmixing. Knowl. Based Syst. 184 (2019) - [j7]Naiyang Guan, Tongliang Liu, Yangmuzi Zhang, Dacheng Tao, Larry S. Davis:
Truncated Cauchy Non-Negative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 246-259 (2019) - [c39]Mingkun Wang, Dianxi Shi, Naiyang Guan, Wei Yi, Tao Zhang, Zunlin Fan:
Multi-Target Multi-Camera Tracking with Human Body Part Semantic Features. CIKM 2019: 199-208 - [c38]Mingkun Wang, Dianxi Shi, Naiyang Guan, Tao Zhang, Liujing Wang, Ruoxiang Li:
Unsupervised Pedestrian Trajectory Prediction with Graph Neural Networks. ICTAI 2019: 832-839 - [c37]Chen Pan, Dianxi Shi, Naiyang Guan, Yongjun Zhang, Liujing Wang, Songchang Jin:
Learning to Track by Bi-Directional Long Short-Term Memory Networks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 783-790 - [i2]Naiyang Guan, Tongliang Liu, Yangmuzi Zhang, Dacheng Tao, Larry S. Davis:
Truncated Cauchy Non-negative Matrix Factorization. CoRR abs/1906.00495 (2019) - 2018
- [c36]Ziheng Gao, Naiyang Guan, Longfei Su:
Graph Regularized Symmetric Non-Negative Matrix Factorization for Graph Clustering. ICDM Workshops 2018: 379-384 - 2017
- [c35]Lin Zhu, Xiang Zhang, Wenju Zhang, Xuhui Huang, Naiyang Guan, Zhigang Luo:
Unsupervised domain adaptation with joint supervised sparse coding and discriminative regularization term. ICIP 2017: 3066-3070 - [c34]Yalin Liu, Naiyang Guan, Jie Liu:
Deep Transductive Nonnegative Matrix Factorization for Speech Separation. ICMLA 2017: 249-254 - [c33]Weijiang Feng, Naiyang Guan, Yuan Li, Xiang Zhang, Zhigang Luo:
Audio visual speech recognition with multimodal recurrent neural networks. IJCNN 2017: 681-688 - [c32]Naiyang Guan, Lei Shan, Canqun Yang, Weixia Xu, Minxuan Zhang:
Delay Compensated Asynchronous Adam Algorithm for Deep Neural Networks. ISPA/IUCC 2017: 852-859 - 2016
- [j6]Fudong Liu, Xuejun Yang, Naiyang Guan, Xiaodong Yi:
Online graph regularized non-negative matrix factorization for large-scale datasets. Neurocomputing 204: 162-171 (2016) - [c31]Qing Liao, Naiyang Guan, Qian Zhang:
Gauss-Seidel based non-negative matrix factorization for gene expression clustering. ICASSP 2016: 2364-2368 - [c30]Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, Zhigang Luo:
Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization. IJCAI 2016: 3396-3402 - [c29]He Wang, Weixia Xu, Naiyang Guan, Canqun Yang:
Monaural Speech Separation on Many Integrated Core Architecture. NCCET 2016: 149-156 - [c28]Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang:
Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion. PAKDD (1) 2016: 591-604 - [c27]Ziheng Gao, Naiyang Guan, Xuhui Huang, Xuefeng Peng, Zhigang Luo, Yuhua Tang:
Distributed graph regularized non-negative matrix factorization with greedy coordinate descent. SMC 2016: 1104-1109 - 2015
- [j5]Ettore Murabito, Riccardo Colombo, Chengkun Wu, Malkhey Verma, Samrina Rehman, Jacky L. Snoep, Shaoliang Peng, Naiyang Guan, Xiangke Liao, Hans V. Westerhoff:
SupraBiology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing. Quant. Biol. 3(1): 46-53 (2015) - [c26]Long Lan, Naiyang Guan, Xiang Zhang, Xuhui Huang, Zhigang Luo:
Labelwalking nonnegative matrix factorization. ICASSP 2015: 2299-2303 - [c25]Qing Liao, Naiyang Guan, Qian Zhang:
Logdet Divergence Based Sparse Non-Negative Matrix Factorization for Stable Representation. ICDM 2015: 871-876 - [c24]Xiang Zhang, Naiyang Guan, Zhigang Luo, Xuejun Yang:
Constrained Projective Non-negative Matrix Factorization for Semi-supervised Multi-label Learning. ICMLA 2015: 588-593 - [c23]Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang:
Local Coordinate Projective Non-negative Matrix Factorization. ICMLA 2015: 604-607 - [c22]Cherong Zhou, Xiang Zhang, Naiyang Guan, Xuhui Huang, Zhigang Luo:
Semi-supervised Non-negative Local Coordinate Factorization. ICONIP (2) 2015: 106-113 - [c21]Xiaoyao Yin, Lu Han, Hui Bai, Xiaochen Bo, Yun Bai, Cong Niu, Naiyang Guan, Zhigang Luo:
New insights into the landscape relationships of host response to bacterial pathogens. IJCNN 2015: 1-8 - [c20]Wenju Zhang, Naiyang Guan, Dacheng Tao, Bin Mao, Xuhui Huang, Zhigang Luo:
Correntropy supervised non-negative matrix factorization. IJCNN 2015: 1-8 - [c19]Shuyi Wu, Xiang Zhang, Naiyang Guan, Dacheng Tao, Xuhui Huang, Zhigang Luo:
Non-negative Low-Rank and Group-Sparse Matrix Factorization. MMM (2) 2015: 536-547 - [c18]Huibin Tan, Xiang Zhang, Naiyang Guan, Dacheng Tao, Xuhui Huang, Zhigang Luo:
Two-Dimensional Euler PCA for Face Recognition. MMM (2) 2015: 548-559 - [c17]Jue Wang, Naiyang Guan, Xuhui Huang, Zhigang Luo:
Constraint-Relaxation Approach for Nonnegative Matrix Factorization: A Case Study. SMC 2015: 2192-2197 - [c16]Xiang Zhang, Naiyang Guan, Wenju Zhang, Xuhui Huang, Shuyi Wu, Zhigang Luo:
Symmetric Non-negative Matrix Factorization Based Link Partition Method for Overlapping Community Detection. SMC 2015: 2198-2203 - [c15]Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang:
Robust Local Coordinate Non-negative Matrix Factorization via Maximum Correntropy Criteria. SMC 2015: 2204-2209 - 2014
- [c14]Naiyang Guan, Dacheng Tao, Long Lan, Zhigang Luo, Xuejun Yang:
Activity Recognition in Still Images with Transductive Non-negative Matrix Factorization. ECCV Workshops (1) 2014: 802-817 - [c13]Naiyang Guan, Long Lan, Dacheng Tao, Zhigang Luo, Xuejun Yang:
Transductive nonnegative matrix factorization for semi-supervised high-performance speech separation. ICASSP 2014: 2534-2538 - [c12]Xiang Zhang, Naiyang Guan, Long Lan, Dacheng Tao, Zhigang Luo:
Box-constrained projective nonnegative matrix factorization via augmented Lagrangian method. IJCNN 2014: 1900-1906 - [c11]Long Lan, Naiyang Guan, Xiang Zhang, Dacheng Tao, Zhigang Luo:
Soft-constrained nonnegative matrix factorization via normalization. IJCNN 2014: 3025-3030 - [c10]Yuanyuan Wang, Naiyang Guan, Bin Mao, Xuhui Huang, Zhigang Luo:
Translation non-negative matrix factorization with fast optimization. SMC 2014: 2871-2874 - [c9]Bin Mao, Naiyang Guan, Dacheng Tao, Xuhui Huang, Zhigang Luo:
Correntropy induced metric based graph regularized non-negative matrix factorization. SPAC 2014: 163-168 - [c8]Fudong Liu, Naiyang Guan, Yuhua Tang:
Online graph regularized non-negative matrix factorization for streamming data. SPAC 2014: 191-196 - [c7]Weijiang Feng, Naiyang Guan, Xiang Zhang, Xuhui Huang, Zhigang Luo:
Single image defogging with single and multiple hybrid scattering model. SPAC 2014: 247-252 - [c6]Wenju Zhang, Naiyang Guan, Xuhui Huang, Zhigang Luo, Jianwu Li:
Overlapping community detection via link partition of asymmetric weighted graph. SPAC 2014: 417-422 - 2013
- [c5]Lei Weit, Naiyang Guan, Xiang Zhang, Zhigang Luo, Dacheng Tao:
Orthogonal Nonnegative Locally Linear Embedding. SMC 2013: 2134-2139 - 2012
- [j4]Naiyang Guan, Dacheng Tao, Zhigang Luo, Bo Yuan:
Online Nonnegative Matrix Factorization With Robust Stochastic Approximation. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1087-1099 (2012) - [j3]Naiyang Guan, Dacheng Tao, Zhigang Luo, Bo Yuan:
NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization. IEEE Trans. Signal Process. 60(6): 2882-2898 (2012) - [c4]Xiang Zhang, Naiyang Guan, Zhigang Luo, Long Lan:
Discriminative Locality Preserving Canonical Correlation Analysis. CCPR 2012: 341-349 - [c3]Naiyang Guan, Xiang Zhang, Zhigang Luo, Long Lan:
Sparse Representation Based Discriminative Canonical Correlation Analysis for Face Recognition. ICMLA (1) 2012: 51-56 - [c2]Long Lan, Xuhui Huang, Naiyang Guan, Zhigang Luo, Xiang Zhang:
Semi-supervised Non-negative Patch Alignment Framework. ICMLA (1) 2012: 174-178 - [c1]Naiyang Guan, Xuhui Huang, Long Lan, Zhigang Luo, Xiang Zhang:
Graph Based Semi-supervised Non-negative Matrix Factorization for Document Clustering. ICMLA (1) 2012: 404-408 - [i1]Naiyang Guan, Dacheng Tao, Zhigang Luo, John Shawe-Taylor:
MahNMF: Manhattan Non-negative Matrix Factorization. CoRR abs/1207.3438 (2012) - 2011
- [j2]Naiyang Guan, Dacheng Tao, Zhigang Luo, Bo Yuan:
Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent. IEEE Trans. Image Process. 20(7): 2030-2048 (2011) - [j1]Naiyang Guan, Dacheng Tao, Zhigang Luo, Bo Yuan:
Non-Negative Patch Alignment Framework. IEEE Trans. Neural Networks 22(8): 1218-1230 (2011)
Coauthor Index
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last updated on 2024-09-10 01:13 CEST by the dblp team
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