Xiaotong Yuan

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 28

Top Topics

Hard Thresholding

Generalization Bounds

Hyperspectral Image Classification

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

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) (2024)
Xiaotong Yuan, Ping Li
-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting. NeurIPS (2023)
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)
Xiaotong Yuan, Ping Li
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. ICLR (2023)
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)
Xiaotong Yuan, Ping Li
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. NeurIPS (2022)
William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. NeurIPS (2022)
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 (2021)
Varun Mannam, Yide Zhang, Xiaotong Yuan, Scott S. Howard
Deep learning-based super-resolution fluorescence microscopy on small datasets. CoRR (2021)
Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS (2021)
Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS (2021)
Xiaotong Yuan, Ping Li
Stability and Risk Bounds of Iterative Hard Thresholding. AISTATS (2021)
Varun Mannam, Yide Zhang, Xiaotong Yuan, Cara Ravasio, Scott S. Howard
Machine learning for faster and smarter fluorescence lifetime imaging microscopy. CoRR (2020)
Pan Zhou, Xiaotong Yuan
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. CoRR (2020)
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) (2019)
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) (2019)
Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
Hyperspectral image classification using spectral-spatial LSTMs. Neurocomputing 328 (2019)
Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng
Efficient Meta Learning via Minibatch Proximal Update. NeurIPS (2019)
Pan Zhou, Xiaotong Yuan, Jiashi Feng
Efficient Stochastic Gradient Hard Thresholding. NeurIPS (2018)
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)
Pan Zhou, Xiaotong Yuan, Jiashi Feng
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity. NeurIPS (2018)
Guangcan Liu, Qingshan Liu, Xiaotong Yuan
A New Theory for Matrix Completion. NIPS (2017)
Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. CoRR (2017)
Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
Hyperspectral Image Classification Using Spectral-Spatial LSTMs. CCCV (1) (2017)
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) (2017)
Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. Remote. Sens. 9 (12) (2017)
Kedong Yin, Xiaotong Yuan, Xuemei Li, Shengmin Fang
Grey relational analysis based on velocity and acceleration and its application. SMC (2016)
Xiaojie Jin, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods. CoRR (2016)
Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu
Continuous attractors of higher-order recurrent neural networks with infinite neurons. Neurocomputing 131 (2014)
Xiaotong Yuan, Ping Li, Tong Zhang
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. ICML (2014)
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 (2014)
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 (2014)
Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan
Why does the unsupervised pretraining encourage moderate-sparseness? CoRR (2013)
Congyan Lang, Songhe Feng, Bin Chen, Xiaotong Yuan
Supervised sparse patch coding towards misalignment-robust face recognition. J. Vis. Commun. Image Represent. 24 (2) (2013)
Bin Fan, Qingqun Kong, Xiaotong Yuan, Zhiheng Wang, Chunhong Pan
Learning weighted Hamming distance for binary descriptors. ICASSP (2013)
Ran He, Xiaotong Yuan, Wei-Shi Zheng
A fast convex conjugated algorithm for sparse recovery. Neurocomputing 115 (2013)
Xiaotong Yuan, Shuicheng Yan
Forward Basis Selection for Sparse Approximation over Dictionary. AISTATS (2012)
Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan
Auto-Grouped Sparse Representation for Visual Analysis. ECCV (1) (2012)
Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
Accelerated low-rank visual recovery by random projection. CVPR (2011)
Hui Yan, Xiaotong Yuan, Shuicheng Yan, Jingyu Yang
Correntropy based feature selection using binary projection. Pattern Recognit. 44 (12) (2011)
Bao-Gang Hu, Ran He, Xiaotong Yuan
Information-Theoretic Measures for Objective Evaluation of Classifications CoRR (2011)
Xiaobai Liu, Xiaotong Yuan, Shuicheng Yan, Hai Jin
Multi-class semi-supervised SVMs with Positiveness Exclusive Regularization. ICCV (2011)
Xiaotong Yuan, Shuicheng Yan
A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems. AISTATS (2011)
Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen
Efficient Subspace Segmentation via Quadratic Programming. AAAI (2011)
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)
Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees CoRR (2010)
Mengdi Xu, Xiaotong Yuan, Jialie Shen, Shuicheng Yan
Cast2Face: character identification in movie with actor-character correspondence. ACM Multimedia (2010)
Ran He, Bao-Gang Hu, Xiaotong Yuan, Wei-Shi Zheng
Principal component analysis based on non-parametric maximum entropy. Neurocomputing 73 (10-12) (2010)
Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. ICDM Workshops (2010)
Richang Hong, Meng Wang, Guangda Li, Xiaotong Yuan, Shuicheng Yan, Tat-Seng Chua
iComics: automatic conversion of movie into comics. ACM Multimedia (2010)
Xiaotong Yuan, Shuicheng Yan
Visual classification with multi-task joint sparse representation. CVPR (2010)
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)
Richang Hong, Xiaotong Yuan, Mengdi Xu, Meng Wang, Shuicheng Yan, Tat-Seng Chua
Movie2Comics: a feast of multimedia artwork. ACM Multimedia (2010)
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)
Xiaotong Yuan, Bao-Gang Hu
Robust feature extraction via information theoretic learning. ICML (2009)
Xiaotong Yuan, Stan Z. Li
Stochastic gradient kernel density mode-seeking. CVPR (2009)
Ran He, Bao-Gang Hu, Xiaotong Yuan
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. ACML (2009)
Xiaotong Yuan, Bao-Gang Hu, Ran He
Agglomerative Mean-Shift Clustering via Query Set Compression. SDM (2009)
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li
Regularized active shape model for shape alignment. FG (2008)
Min Xu, Stan Z. Li, Bin Li, Xiaotong Yuan, Shiming Xiang
A set theoretical method for video synopsis. Multimedia Information Retrieval (2008)
Xiaotong Yuan, Stan Z. Li, Ran He
Color Constancy Via Convex Kernel Optimization. ACCV (1) (2007)
Xiaotong Yuan, Stan Z. Li
Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method. ICCV (2007)
Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang
Real-time Object Classification in Video Surveillance Based on Appearance Learning. CVPR (2007)
Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, Ran He
Structured Ordinal Features for Appearance-Based Object Representation. AMFG (2007)
Xiaotong Yuan, Stan Z. Li
Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework. AVSS (2006)
Xiaotong Yuan, Stan Z. Li
A Random Field Model for Improved Feature Extraction and Tracking. AVSS (2006)
Xiaotong Yuan, ShuTang Yang, HongWen Zhu
Region Tracking via HMMF in Joint Feature-Spatial Space. WACV/MOTION (2005)
Feng Chen, Xiaotong Yuan, ShuTang Yang
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking. ICIP (2) (2005)
Xiaotong Yuan, HongWen Zhu, ShuTang Yang
A Robust Framework For Eigenspace Image Reconstruction. WACV/MOTION (2005)