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Xiaotong Yuan
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- affiliation: Nanjing University of Information Science and Technology, China
- affiliation (former): Department of Statistics and Biostatistics, Rutgers University
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2020 – today
- 2026
[j49]Yunlong Zhou
, Chen Zhao, Fanfan Ji, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan:
More realistic and accurate precipitation nowcasting with Conditional Rectified Flow Transformers. Eng. Appl. Artif. Intell. 165: 113402 (2026)- [i27]Jian Li, Yizhang Jin, Dongqi Liu, Hang Ding, Jiafu Wu, Dongsheng Chen, Yunhang Shen, Yulei Qin, Ying Tai, Chengjie Wang, Xiaotong Yuan, Yabiao Wang:
SE-Search: Self-Evolving Search Agent via Memory and Dense Reward. CoRR abs/2603.03293 (2026) - [i26]Jian Li, Dongsheng Chen, Zhenhua Xu, Yizhang Jin, Jiafu Wu, Chengjie Wang, Xiaotong Yuan, Yabiao Wang:
Improving Search Agent with One Line of Code. CoRR abs/2603.10069 (2026) - 2025
- [j48]Chenhan Xu, Xiaotong Yuan:
A Novel Intuitionistic Fuzzy Decision Support System Based on Extended WASPAS Method: A Case Study for the Selection of Basketball Players and Basketball Fields for Maximum Performance. IEEE Access 13: 81606-81617 (2025) - [j47]Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan:
Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 18905-18921 (2025) - [c70]Xi Liu, Fanfan Ji, Bo Liu, Xiao-Tong Yuan:
Hier-pFedMe: Hierarchical Personalized Federated Learning with Moreau Envelopes. ICME 2025: 1-6 - [c69]William de Vazelhes, Xiaotong Yuan, Bin Gu:
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees. ICML 2025 - [e2]Shiqi Yu, Wei Jia, Xiangbo Shu, Xiaotong Yuan, Jie Gui, Jinhui Tang, Caifeng Shan, Qingshan Liu:
Biometric Recognition - 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22-24, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15352, Springer 2025, ISBN 978-981-96-1067-9 [contents] - [e1]Shiqi Yu, Wei Jia, Xiangbo Shu, Xiaotong Yuan, Jie Gui, Jinhui Tang, Caifeng Shan, Qingshan Liu:
Biometric Recognition - 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22-24, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15353, Springer 2025, ISBN 978-981-96-1070-9 [contents] - [i25]Yongle Li, Bo Liu, XianSheng Hua, Zheng Zhang, Xiaotong Yuan, Richang Hong:
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation. CoRR abs/2503.23869 (2025) - [i24]William de Vazelhes, Xiao-Tong Yuan, Bin Gu:
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees. CoRR abs/2506.08558 (2025) - 2024
- [j46]Huayong Zhang, Xiaotong Yuan, Hengchao Zou, Lei Zhao, Zhongyu Wang, Fenglu Guo, Zhao Liu:
The Spatiotemporal Dynamics of Insect Predator-Prey System Incorporating Refuge Effect. Entropy 26(3): 196 (2024) - [j45]Zefeng Pan, Fanfan Ji, Yunlong Zhou, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan:
Deep Precipitation Nowcasting With Dual Regions Displacement Information and Global Spatiotemporal Representations Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j44]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) - [j43]Fanfan Ji, Yunpeng Chen, Luoqi Liu, Xiao-Tong Yuan:
Cross-Domain Few-Shot Classification via Dense-Sparse-Dense Regularization. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1352-1363 (2024) - [j42]Zefeng Pan, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan:
A Short-Long Term Sequence Learning Network for Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j41]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) - [c68]William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu:
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery. AAAI 2024: 11731-11739 - [i23]William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu:
Iterative Regularization with k-Support Norm: An Important Complement to Sparse Recovery. CoRR abs/2401.05394 (2024) - 2023
- [j40]Varun Mannam, Jacob Brandt, Cody J. Smith, Xiaotong Yuan, Scott S. Howard:
Improving fluorescence lifetime imaging microscopy phasor accuracy using convolutional neural networks. Frontiers Bioinform. 3 (2023) - [j39]Xiao-Tong Yuan, Ping Li:
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. J. Mach. Learn. Res. 24: 270:1-270:52 (2023) - [c67]Minghui Miao, Shuo Fang, Weijie Wu, Xiaotong Yuan, Lin Bi:
Minimum Path Cost Multi-path Routing Algorithm with No Intersecting Links in Quantum Key Distribution Networks. ICISCAE 2023: 232-237 - [c66]Xiaotong Yuan, Ping Li:
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. ICLR 2023 - [c65]Xiaotong Yuan, Ping Li:
L2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting. NeurIPS 2023 - [i22]Xiao-Tong Yuan, Ping Li:
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. CoRR abs/2301.03125 (2023) - 2022
- [j38]Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi:
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5933-5946 (2022) - [j37]Fanfan Ji, Hui Shuai, Xiao-Tong Yuan:
A globally convergent approximate Newton method for non-convex sparse learning. Pattern Recognit. 126: 108560 (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) - [j35]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. IEEE Trans. Inf. Theory 68(10): 6663-6681 (2022) - [c64]William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu:
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. NeurIPS 2022 - [c63]Xiaotong Yuan, Ping Li:
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. NeurIPS 2022 - [i21]Xiao-Tong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. CoRR abs/2203.09413 (2022) - [i20]Xiao-Tong Yuan, Ping Li:
Boosting the Confidence of Generalization for L2-Stable Randomized Learning Algorithms. CoRR abs/2206.03834 (2022) - [i19]Xiao-Tong Yuan, Ping Li:
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. CoRR abs/2206.05187 (2022) - [i18]William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao-Tong Yuan, Bin Gu:
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. CoRR abs/2210.05279 (2022) - 2021
- [j34]Pan Zhou, Xiao-Tong Yuan, Shuicheng Yan, Jiashi Feng:
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 459-472 (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) - [c62]Xiaotong Yuan, Ping Li:
Stability and Risk Bounds of Iterative Hard Thresholding. AISTATS 2021: 1702-1710 - [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 - [c60]Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS 2021: 6183-6197 - [c59]Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan:
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS 2021: 27290-27304 - [c58]Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi:
Task similarity aware meta learning: theory-inspired improvement on MAML. UAI 2021: 23-33 - [i17]Varun Mannam, Yide Zhang, Xiaotong Yuan, Scott S. Howard:
Deep learning-based super-resolution fluorescence microscopy on small datasets. CoRR abs/2103.04989 (2021) - [i16]Varun Mannam, Yide Zhang, Xiaotong Yuan, Takashi Hato, Pierre C. Dagher, Evan L. Nichols, Cody J. Smith, Kenneth W. Dunn, Scott S. Howard:
Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM). CoRR abs/2103.05448 (2021) - [i15]Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven C. H. Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. CoRR abs/2106.14749 (2021) - 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) - [j31]Xiao-Tong Yuan, Ping Li:
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. J. Mach. Learn. Res. 21: 206:1-206:51 (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) - [c57]Xiao-Tong Yuan, Ping Li:
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding. COLT 2020: 3787-3813 - [c56]Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-learning with Network Pruning. ECCV (19) 2020: 675-700 - [c55]Pan Zhou, Xiao-Tong Yuan:
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. ICML 2020: 11556-11565 - [c54]Jue Wang, Fanfan Ji, Xiao-Tong Yuan:
Pruning Deep Convolutional Neural Networks via Gradient Support Pursuit. PRCV (3) 2020: 419-432 - [i14]Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu:
Meta-Learning with Network Pruning. CoRR abs/2007.03219 (2020) - [i13]Varun Mannam, Yide Zhang, Xiaotong Yuan, Cara Ravasio, Scott S. Howard:
Machine learning for faster and smarter fluorescence lifetime imaging microscopy. CoRR abs/2008.02320 (2020) - [i12]Pan Zhou, Xiaotong Yuan:
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. CoRR abs/2009.09835 (2020)
2010 – 2019
- 2019
- [j29]Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan:
Hyperspectral image classification using spectral-spatial LSTMs. Neurocomputing 328: 39-47 (2019) - [j28]Yahui Wang, Bo Liu, Xiaotong Yuan:
基于近似牛顿法的分布式卷积神经网络训练 (Distributed Convolutional Neural Networks Based on Approximate Newton-type Mothod). 计算机科学 46(7): 180-185 (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) - [c53]Pan Zhou, Xiao-Tong Yuan, Jiashi Feng:
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. AISTATS 2019: 138-147 - [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 - [c51]Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng:
Efficient Meta Learning via Minibatch Proximal Update. NeurIPS 2019: 1532-1542 - [c50]Fanfan Ji, Hui Shuai, Xiao-Tong Yuan:
Quadratic Approximation Greedy Pursuit for Cardinality-Constrained Sparse Learning. PRCV (1) 2019: 337-348 - [c49]Xin Yang, Haiwei Lu, Hui Shuai, Xiao-Tong Yuan:
Pruning Convolutional Neural Networks via Stochastic Gradient Hard Thresholding. PRCV (1) 2019: 373-385 - [i11]Xiao-Tong Yuan, Ping Li:
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. CoRR abs/1908.02246 (2019) - 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) - [c48]Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang:
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD 2018: 1475-1484 - [c47]Pan Zhou, Xiaotong Yuan, Jiashi Feng:
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity. NeurIPS 2018: 1242-1251 - [c46]Pan Zhou, Xiaotong Yuan, Jiashi Feng:
Efficient Stochastic Gradient Hard Thresholding. NeurIPS 2018: 1988-1997 - [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
- [j25]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit. J. Mach. Learn. Res. 18: 166:1-166:43 (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) - [j20]Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiao-Tong Yuan, Jian Zhang:
Sparseness Analysis in the Pretraining of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1425-1438 (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) - [c41]Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu:
Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. AAAI 2016: 2344-2350 - [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 - [c38]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Exact Recovery of Hard Thresholding Pursuit. NIPS 2016: 3558-3566 - [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 - [c36]Kedong Yin, Xiaotong Yuan, Xuemei Li, Shengmin Fang:
Grey relational analysis based on velocity and acceleration and its application. SMC 2016: 4283-4286 - [i7]Xiaojie Jin, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan:
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods. CoRR abs/1607.05423 (2016) - 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
- [b1]Ran He, Bao-Gang Hu, Xiaotong Yuan, Liang Wang:
Robust Recognition via Information Theoretic Learning. Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-07415-3, pp. 1-102 - [j17]Bineng Zhong, Yan Chen, Yingju Shen, Yewang Chen, Zhen Cui, Rongrong Ji, Xiaotong Yuan, Duansheng Chen, Weibin Chen:
Robust tracking via patch-based appearance model and local background estimation. Neurocomputing 123: 344-353 (2014) - [j16]Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu:
Continuous attractors of higher-order recurrent neural networks with infinite neurons. Neurocomputing 131: 388-396 (2014) - [j15]Bineng Zhong, Xiaotong Yuan, Rongrong Ji, Yan Yan, Zhen Cui, Xiaopeng Hong, Yan Chen, Tian Wang, Duansheng Chen, Jiaxin Yu:
Structured partial least squares for simultaneous object tracking and segmentation. Neurocomputing 133: 317-327 (2014) - [j14]Jiashi Feng, Xiao-Tong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan:
Autogrouped Sparse Representation for Visual Analysis. IEEE Trans. Image Process. 23(12): 5390-5399 (2014) - [j13]Xiao-Tong Yuan, Tong Zhang:
Partial Gaussian Graphical Model Estimation. IEEE Trans. Inf. Theory 60(3): 1673-1687 (2014) - [c34]Xiao-Tong Yuan, Qingshan Liu:
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization. CVPR 2014: 4122-4129 - [c33]Xiao-Tong Yuan, Ping Li:
Sparse Additive Subspace Clustering. ECCV (3) 2014: 644-659 - [c32]Xiaotong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. ICML 2014: 127-135 - 2013
- [j12]Ran He, Xiaotong Yuan, Wei-Shi Zheng:
A fast convex conjugated algorithm for sparse recovery. Neurocomputing 115: 178-185 (2013) - [j11]Xiao-Tong Yuan, Tong Zhang:
Truncated power method for sparse eigenvalue problems. J. Mach. Learn. Res. 14(1): 899-925 (2013) - [j10]Congyan Lang, Songhe Feng, Bin Chen, Xiaotong Yuan:
Supervised sparse patch coding towards misalignment-robust face recognition. J. Vis. Commun. Image Represent. 24(2): 103-110 (2013) - [j9]Xiao-Tong Yuan, Shuicheng Yan:
Forward Basis Selection for Pursuing Sparse Representations over a Dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 3025-3036 (2013) - [c31]Bin Fan, Qingqun Kong, Xiaotong Yuan, Zhiheng Wang, Chunhong Pan:
Learning weighted Hamming distance for binary descriptors. ICASSP 2013: 2395-2399 - [i6]Xiao-Tong Yuan, Ping Li, Tong Zhang:
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. CoRR abs/1311.5750 (2013) - [i5]Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan:
Why does the unsupervised pretraining encourage moderate-sparseness? CoRR abs/1312.5813 (2013) - 2012
- [j8]Xiao-Tong Yuan, Shuicheng Yan:
Nondegenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning. Neural Comput. 24(4): 1047-1084 (2012) - [j7]Xiao-Tong Yuan, Xiaobai Liu, Shuicheng Yan:
Visual Classification With Multitask Joint Sparse Representation. IEEE Trans. Image Process. 21(10): 4349-4360 (2012) - [j6]Xiao-Tong Yuan, Bao-Gang Hu, Ran He:
Agglomerative Mean-Shift Clustering. IEEE Trans. Knowl. Data Eng. 24(2): 209-219 (2012) - [j5]Meng Wang, Richang Hong, Xiao-Tong Yuan, Shuicheng Yan, Tat-Seng Chua:
Movie2Comics: Towards a Lively Video Content Presentation. IEEE Trans. Multim. 14(3-2): 858-870 (2012) - [c30]Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan:
Auto-Grouped Sparse Representation for Visual Analysis. ECCV (1) 2012: 640-653 - [c29]Xiaotong Yuan, Shuicheng Yan:
Forward Basis Selection for Sparse Approximation over Dictionary. AISTATS 2012: 1377-1388 - [i4]Xiao-Tong Yuan, Tong Zhang:
Partial Gaussian Graphical Model Estimation. CoRR abs/1209.6419 (2012) - 2011
- [j4]Hui Yan, Xiaotong Yuan, Shuicheng Yan, Jingyu Yang:
Correntropy based feature selection using binary projection. Pattern Recognit. 44(12): 2834-2842 (2011) - [j3]Richang Hong, Meng Wang, Xiao-Tong Yuan, Mengdi Xu, Jianguo Jiang, Shuicheng Yan, Tat-Seng Chua:
Video accessibility enhancement for hearing-impaired users. ACM Trans. Multim. Comput. Commun. Appl. 7(Supplement): 24 (2011) - [c28]Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen:
Efficient Subspace Segmentation via Quadratic Programming. AAAI 2011: 519-524 - [c27]Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan:
Accelerated low-rank visual recovery by random projection. CVPR 2011: 2609-2616 - [c26]Xiangyu Chen, Xiao-Tong Yuan, Qiang Chen, Shuicheng Yan, Tat-Seng Chua:
Multi-label visual classification with label exclusive context. ICCV 2011: 834-841 - [c25]Xiaobai Liu, Xiaotong Yuan, Shuicheng Yan, Hai Jin:
Multi-class semi-supervised SVMs with Positiveness Exclusive Regularization. ICCV 2011: 1435-1442 - [c24]Congyan Lang, Bin Cheng, Songhe Feng, Xiao-Tong Yuan:
Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition. ICIG 2011: 599-604 - [c23]Xiangyu Chen, Xiaotong Yuan, Shuicheng Yan, Jinhui Tang, Yong Rui, Tat-Seng Chua:
Towards multi-semantic image annotation with graph regularized exclusive group lasso. ACM Multimedia 2011: 263-272 - [c22]Xiaotong Yuan, Shuicheng Yan:
A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems. AISTATS 2011: 841-854 - [i3]Bao-Gang Hu, Ran He, Xiaotong Yuan:
Information-Theoretic Measures for Objective Evaluation of Classifications. CoRR abs/1107.1837 (2011) - [i2]Xiao-Tong Yuan, Tong Zhang:
Truncated Power Method for Sparse Eigenvalue Problems. CoRR abs/1112.2679 (2011) - 2010
- [j2]Bineng Zhong, Hongxun Yao, Shaohui Liu, Xiaotong Yuan:
Local Histogram of Figure/Ground Segmentations for Dynamic Background Subtraction. EURASIP J. Adv. Signal Process. 2010 (2010) - [j1]Ran He, Bao-Gang Hu, Xiaotong Yuan, Wei-Shi Zheng:
Principal component analysis based on non-parametric maximum entropy. Neurocomputing 73(10-12): 1840-1852 (2010) - [c21]Bineng Zhong, Hongxun Yao, Sheng Chen, Rongrong Ji, Xiaotong Yuan, Shaohui Liu, Wen Gao:
Visual tracking via weakly supervised learning from multiple imperfect oracles. CVPR 2010: 1323-1330 - [c20]Xiaotong Yuan, Shuicheng Yan:
Visual classification with multi-task joint sparse representation. CVPR 2010: 3493-3500 - [c19]Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong:
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. ICDM Workshops 2010: 1179-1188 - [c18]Richang Hong, Xiaotong Yuan, Mengdi Xu, Meng Wang, Shuicheng Yan, Tat-Seng Chua:
Movie2Comics: a feast of multimedia artwork. ACM Multimedia 2010: 611-614 - [c17]Mengdi Xu, Xiaotong Yuan, Jialie Shen, Shuicheng Yan:
Cast2Face: character identification in movie with actor-character correspondence. ACM Multimedia 2010: 831-834 - [c16]Richang Hong, Meng Wang, Guangda Li, Xiaotong Yuan, Shuicheng Yan, Tat-Seng Chua:
iComics: automatic conversion of movie into comics. ACM Multimedia 2010: 1599-1602 - [i1]Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong:
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. CoRR abs/1009.3802 (2010)
2000 – 2009
- 2009
- [c15]Ran He, Bao-Gang Hu, Xiaotong Yuan:
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. ACML 2009: 120-134 - [c14]Xiaotong Yuan, Stan Z. Li:
Stochastic gradient kernel density mode-seeking. CVPR 2009: 1926-1931 - [c13]Xiaotong Yuan, Bao-Gang Hu:
Robust feature extraction via information theoretic learning. ICML 2009: 1193-1200 - [c12]Xiaotong Yuan, Bao-Gang Hu, Ran He:
Agglomerative Mean-Shift Clustering via Query Set Compression. SDM 2009: 223-234 - 2008
- [c11]Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li:
Regularized active shape model for shape alignment. FG 2008: 1-6 - [c10]Min Xu, Stan Z. Li, Bin Li, Xiaotong Yuan, Shiming Xiang:
A set theoretical method for video synopsis. Multimedia Information Retrieval 2008: 366-370 - 2007
- [c9]Xiaotong Yuan, Stan Z. Li, Ran He:
Color Constancy Via Convex Kernel Optimization. ACCV (1) 2007: 728-737 - [c8]Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, Ran He:
Structured Ordinal Features for Appearance-Based Object Representation. AMFG 2007: 183-192 - [c7]Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang:
Real-time Object Classification in Video Surveillance Based on Appearance Learning. CVPR 2007 - [c6]Xiaotong Yuan, Stan Z. Li:
Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method. ICCV 2007: 1-8 - 2006
- [c5]Xiaotong Yuan, Stan Z. Li:
Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework. AVSS 2006: 22 - [c4]Xiaotong Yuan, Stan Z. Li:
A Random Field Model for Improved Feature Extraction and Tracking. AVSS 2006: 37 - 2005
- [c3]Feng Chen, Xiaotong Yuan, ShuTang Yang:
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking. ICIP (2) 2005: 406-409 - [c2]Xiaotong Yuan, HongWen Zhu, ShuTang Yang:
A Robust Framework For Eigenspace Image Reconstruction. WACV/MOTION 2005: 54-59 - [c1]Xiaotong Yuan, ShuTang Yang, HongWen Zhu:
Region Tracking via HMMF in Joint Feature-Spatial Space. WACV/MOTION 2005: 72-77
Coauthor Index
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