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Xiao-Tong Yuan
- > Home > Persons > Xiao-Tong Yuan
Publications
- 2024
- [j41]Yunlong Zhou, Renlong Hang, Fanfan Ji, Zefeng Pan, Qingshan Liu, Xiao-Tong Yuan:
Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7608-7620 (2024) - [j39]Fanfan Ji, Xiao-Tong Yuan, Qingshan Liu:
Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data. IEEE Trans. Multim. 26: 6759-6769 (2024) - 2022
- [j36]Mei Xue, Renlong Hang, Xiao-Tong Yuan, Pengfei Xiao, Qingshan Liu:
Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - 2021
- [j33]Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Deterministic Sampling: Theories and Methods. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 549-566 (2021) - [c61]Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance. CVPR 2021: 13703-13712 - 2020
- [j32]Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding. J. Mach. Learn. Res. 21: 152:1-152:50 (2020) - [j30]Yubao Sun, Ying Yang, Qingshan Liu, Jiwei Chen, Xiao-Tong Yuan, Guodong Guo:
Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting. IEEE Trans. Multim. 22(12): 3236-3248 (2020) - [c56]Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-learning with Network Pruning. ECCV (19) 2020: 675-700 - [i14]Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-Learning with Network Pruning. CoRR abs/2007.03219 (2020) - 2019
- [j29]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Hyperspectral image classification using spectral-spatial LSTMs. Neurocomputing 328: 39-47 (2019) - [j27]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(5): 1549-1558 (2019) - [c52]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas:
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. AISTATS 2019: 343-352 - 2018
- [j26]Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu:
Reversed Spectral Hashing. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2441-2449 (2018) - [c45]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Integrating Convolutional Neural Network and Gated Recurrent Unit for Hyperspectral Image Spectral-Spatial Classification. PRCV (4) 2018: 409-420 - [i10]Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang:
Matrix Completion with Nonuniform Sampling: Theories and Methods. CoRR abs/1805.02313 (2018) - 2017
- [j24]Xiao-Tong Yuan, Qingshan Liu:
Newton-Type Greedy Selection Methods for ℓ0-Constrained Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2437-2450 (2017) - [j23]Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan:
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. Remote. Sens. 9(12): 1330 (2017) - [j22]Renlong Hang, Qingshan Liu, Yubao Sun, Xiaotong Yuan, Hucheng Pei, Javier Plaza, Antonio Plaza:
Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(5): 2002-2011 (2017) - [j21]Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas:
Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition. ACM Trans. Embed. Comput. Syst. 16(3): 75:1-75:17 (2017) - [c44]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Hyperspectral Image Classification Using Spectral-Spatial LSTMs. CCCV (1) 2017: 577-588 - [c43]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. ICML 2017: 2179-2187 - [c42]Guangcan Liu, Qingshan Liu, Xiaotong Yuan:
A New Theory for Matrix Completion. NIPS 2017: 785-794 - [i9]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. CoRR abs/1703.00119 (2017) - [i8]Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan:
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. CoRR abs/1703.07910 (2017) - 2016
- [j19]Xiao-Tong Yuan, Zhenzhen Wang, Jiankang Deng, Qingshan Liu:
Efficient χ2 Kernel Linearization via Random Feature Maps. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2448-2453 (2016) - [c40]Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas:
Decentralized Robust Subspace Clustering. AAAI 2016: 3539-3545 - [c39]Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas:
Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. IJCAI 2016: 1760-1766 - [c37]Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu:
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation. NIPS 2016: 4367-4375 - 2015
- [j18]Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu:
Sparse random projection for χ2 kernel linearization: Algorithm and applications to image classification. Neurocomputing 151: 327-332 (2015) - [c35]Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan:
Additive Nearest Neighbor Feature Maps. ICCV 2015: 2866-2874 - 2014
- [c34]Xiao-Tong Yuan, Qingshan Liu:
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization. CVPR 2014: 4122-4129
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last updated on 2024-05-06 22:55 CEST by the dblp team
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