Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking. - Feng Chen; Xiaotong Yuan; ShuTang Yang (ICIP (2), 2005)

Region Tracking via HMMF in Joint Feature-Spatial Space. - Xiaotong Yuan; ShuTang Yang; HongWen Zhu (WACV/MOTION, 2005)

A Robust Framework For Eigenspace Image Reconstruction. - Xiaotong Yuan; HongWen Zhu; ShuTang Yang (WACV/MOTION, 2005)

Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework. - Xiaotong Yuan; Stan Z. Li (AVSS, 2006)

A Random Field Model for Improved Feature Extraction and Tracking. - Xiaotong Yuan; Stan Z. Li (AVSS, 2006)

Color Constancy Via Convex Kernel Optimization. - Xiaotong Yuan; Stan Z. Li; Ran He 001 (ACCV (1), 2007)

Structured Ordinal Features for Appearance-Based Object Representation. - Shengcai Liao; Zhen Lei 001; Stan Z. Li; Xiaotong Yuan; Ran He 001 (AMFG, 2007)

Real-time Object Classification in Video Surveillance Based on Appearance Learning. - Lun Zhang 001; Stan Z. Li; Xiaotong Yuan; Shiming Xiang (CVPR, 2007)

Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method. - Xiaotong Yuan; Stan Z. Li (ICCV, 2007)

Regularized active shape model for shape alignment. - Ran He 001; Zhen Lei 001; Xiaotong Yuan; Stan Z. Li (FG, 2008)

A set theoretical method for video synopsis. - Min Xu; Stan Z. Li; Bin Li 025; Xiaotong Yuan; Shiming Xiang (Multimedia Information Retrieval, 2008)

Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. - Ran He 001; Bao-Gang Hu; Xiaotong Yuan (ACML, 2009)

Stochastic gradient kernel density mode-seeking. - Xiaotong Yuan; Stan Z. Li (CVPR, 2009)

Robust feature extraction via information theoretic learning. - Xiaotong Yuan; Bao-Gang Hu (ICML, 2009)

Agglomerative Mean-Shift Clustering via Query Set Compression. - Xiaotong Yuan; Bao-Gang Hu; Ran He 001 (SDM, 2009)

Visual classification with multi-task joint sparse representation. - Xiaotong Yuan; Shuicheng Yan (CVPR, 2010)

Visual tracking via weakly supervised learning from multiple imperfect oracles. - Bineng Zhong; Hongxun Yao; Sheng Chen 007; Rongrong Ji; Xiaotong Yuan; Shaohui Liu; Wen Gao 001 (CVPR, 2010)

Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. - Yuzhao Ni; Ju Sun; Xiaotong Yuan; Shuicheng Yan; Loong Fah Cheong (ICDM Workshops, 2010)

iComics: automatic conversion of movie into comics. - Richang Hong; Meng Wang 001; Guangda Li; Xiaotong Yuan; Shuicheng Yan; Tat-Seng Chua (ACM Multimedia, 2010)

Movie2Comics: a feast of multimedia artwork. - Richang Hong; Xiaotong Yuan; Mengdi Xu; Meng Wang 001; Shuicheng Yan; Tat-Seng Chua (ACM Multimedia, 2010)

Cast2Face: character identification in movie with actor-character correspondence. - Mengdi Xu; Xiaotong Yuan; Jialie Shen 001; Shuicheng Yan (ACM Multimedia, 2010)

Local Histogram of Figure/Ground Segmentations for Dynamic Background Subtraction. - Bineng Zhong; Hongxun Yao; Shaohui Liu; Xiaotong Yuan (EURASIP J. Adv. Signal Process., 2010)

Principal component analysis based on non-parametric maximum entropy. - Ran He 001; Bao-Gang Hu; Xiaotong Yuan; Wei-Shi Zheng 001 (Neurocomputing, 2010)

Efficient Subspace Segmentation via Quadratic Programming. - Shusen Wang; Xiaotong Yuan; Tiansheng Yao; Shuicheng Yan; Jialie Shen 001 (AAAI, 2011)

Accelerated low-rank visual recovery by random projection. - Yadong Mu; Jian Dong; Xiaotong Yuan; Shuicheng Yan (CVPR, 2011)

Multi-label visual classification with label exclusive context. - Xiangyu Chen; Xiao-Tong Yuan; Qiang Chen 007; Shuicheng Yan; Tat-Seng Chua (ICCV, 2011)

Multi-class semi-supervised SVMs with Positiveness Exclusive Regularization. - Xiaobai Liu; Xiaotong Yuan; Shuicheng Yan; Hai Jin 001 (ICCV, 2011)

Supervised Sparse Patch Coding towards Misalignment-Robust Face Recognition. - Congyan Lang; Bin Cheng; Songhe Feng; Xiao-Tong Yuan (ICIG, 2011)

Towards multi-semantic image annotation with graph regularized exclusive group lasso. - Xiangyu Chen; Xiaotong Yuan; Shuicheng Yan; Jinhui Tang 001; Yong Rui; Tat-Seng Chua (ACM Multimedia, 2011)

Information-Theoretic Measures for Objective Evaluation of Classifications - Bao-Gang Hu; Ran He 001; Xiaotong Yuan (CoRR, 2011)

A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems. - Xiaotong Yuan; Shuicheng Yan (AISTATS, 2011)

Correntropy based feature selection using binary projection. - Hui Yan; Xiaotong Yuan; Shuicheng Yan; Jingyu Yang 001 (Pattern Recognit., 2011)

Video accessibility enhancement for hearing-impaired users. - Richang Hong; Meng Wang 001; Xiao-Tong Yuan; Mengdi Xu; Jianguo Jiang; Shuicheng Yan; Tat-Seng Chua (ACM Trans. Multim. Comput. Commun. Appl., 2011)

Auto-Grouped Sparse Representation for Visual Analysis. - Jiashi Feng; Xiaotong Yuan; Zilei Wang; Huan Xu 001; Shuicheng Yan (ECCV (1), 2012)

Forward Basis Selection for Sparse Approximation over Dictionary. - Xiaotong Yuan; Shuicheng Yan (AISTATS, 2012)

Nondegenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning. - Xiao-Tong Yuan; Shuicheng Yan (Neural Comput., 2012)

Visual Classification With Multitask Joint Sparse Representation. - Xiao-Tong Yuan; Xiaobai Liu; Shuicheng Yan (IEEE Trans. Image Process., 2012)

Agglomerative Mean-Shift Clustering. - Xiao-Tong Yuan; Bao-Gang Hu; Ran He 001 (IEEE Trans. Knowl. Data Eng., 2012)

Movie2Comics: Towards a Lively Video Content Presentation. - Meng Wang 001; Richang Hong; Xiao-Tong Yuan; Shuicheng Yan; Tat-Seng Chua (IEEE Trans. Multim., 2012)

Learning weighted Hamming distance for binary descriptors. - Bin Fan 001; Qingqun Kong; Xiaotong Yuan; Zhiheng Wang 001; Chunhong Pan (ICASSP, 2013)

Why does the unsupervised pretraining encourage moderate-sparseness? - Jun Li 027; Wei Luo 006; Jian Yang 003; Xiaotong Yuan (CoRR, 2013)

A fast convex conjugated algorithm for sparse recovery. - Ran He 001; Xiaotong Yuan; Wei-Shi Zheng 001 (Neurocomputing, 2013)

Truncated power method for sparse eigenvalue problems. - Xiao-Tong Yuan; Tong Zhang 001 (J. Mach. Learn. Res., 2013)

Supervised sparse patch coding towards misalignment-robust face recognition. - Congyan Lang; Songhe Feng; Bin Chen; Xiaotong Yuan (J. Vis. Commun. Image Represent., 2013)

Forward Basis Selection for Pursuing Sparse Representations over a Dictionary. - Xiao-Tong Yuan; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization. - Xiao-Tong Yuan; Qingshan Liu 001 (CVPR, 2014)

Sparse Additive Subspace Clustering. - Xiao-Tong Yuan; Ping Li 001 (ECCV (3), 2014)

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. - Xiaotong Yuan; Ping Li 001; Tong Zhang 001 (ICML, 2014)

Continuous attractors of higher-order recurrent neural networks with infinite neurons. - Jun Li 027; Jian Yang 003; Xiaotong Yuan; Zhaohua Hu (Neurocomputing, 2014)

Robust tracking via patch-based appearance model and local background estimation. - Bineng Zhong; Yan Chen 017; Yingju Shen; Yewang Chen; Zhen Cui 001; Rongrong Ji; Xiaotong Yuan; Duansheng Chen; Weibin Chen (Neurocomputing, 2014)

Structured partial least squares for simultaneous object tracking and segmentation. - Bineng Zhong; Xiaotong Yuan; Rongrong Ji; Yan Yan 001; Zhen Cui 001; Xiaopeng Hong; Yan Chen 017; Tian Wang 001; Duansheng Chen; Jiaxin Yu (Neurocomputing, 2014)

Autogrouped Sparse Representation for Visual Analysis. - Jiashi Feng; Xiao-Tong Yuan; Zilei Wang; Huan Xu 001; Shuicheng Yan (IEEE Trans. Image Process., 2014)

Partial Gaussian Graphical Model Estimation. - Xiao-Tong Yuan; Tong Zhang 001 (IEEE Trans. Inf. Theory, 2014)

Robust Recognition via Information Theoretic Learning - Ran He 001; Bao-Gang Hu; Xiaotong Yuan; Liang Wang 001 (Springer, 2014)

Additive Nearest Neighbor Feature Maps. - Zhenzhen Wang; Xiao-Tong Yuan; Qingshan Liu 001; Shuicheng Yan (ICCV, 2015)

Sparse random projection for χ2 kernel linearization: Algorithm and applications to image classification. - Zhenzhen Wang; Xiao-Tong Yuan; Qingshan Liu 001 (Neurocomputing, 2015)

Decentralized Robust Subspace Clustering. - Bo Liu 005; Xiao-Tong Yuan; Yang Yu 010; Qingshan Liu 001; Dimitris N. Metaxas (AAAI, 2016)

Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. - Yan-Ming Zhang 001; Xu-Yao Zhang; Xiao-Tong Yuan; Cheng-Lin Liu 001 (AAAI, 2016)

Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. - Bo Liu 005; Xiao-Tong Yuan; Shaoting Zhang 001; Qingshan Liu 001; Dimitris N. Metaxas (IJCAI, 2016)

Exact Recovery of Hard Thresholding Pursuit. - Xiao-Tong Yuan; Ping Li 001; Tong Zhang 001 (NIPS, 2016)

Learning Additive Exponential Family Graphical Models via ell_{2, 1}-norm Regularized M-Estimation. - Xiao-Tong Yuan; Ping Li 001; Tong Zhang 001; Qingshan Liu 001; Guangcan Liu (NIPS, 2016)

Grey relational analysis based on velocity and acceleration and its application. - Kedong Yin; Xiaotong Yuan; Xuemei Li; Shengmin Fang (SMC, 2016)

Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods. - Xiaojie Jin; Xiaotong Yuan; Jiashi Feng; Shuicheng Yan (CoRR, 2016)

Efficient χ2 Kernel Linearization via Random Feature Maps. - Xiao-Tong Yuan; Zhenzhen Wang; Jiankang Deng; Qingshan Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. - Bo Liu 005; Xiao-Tong Yuan; Lezi Wang; Qingshan Liu 001; Dimitris N. Metaxas (ICML, 2017)

A New Theory for Matrix Completion. - Guangcan Liu; Qingshan Liu 001; Xiaotong Yuan (NIPS, 2017)

Gradient Hard Thresholding Pursuit. - Xiao-Tong Yuan; Ping Li 001; Tong Zhang 001 (J. Mach. Learn. Res., 2017)

Newton-Type Greedy Selection Methods for ℓ0-Constrained Minimization. - Xiao-Tong Yuan; Qingshan Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. - Qingshan Liu 001; Feng Zhou 006; Renlong Hang; Xiaotong Yuan (Remote. Sens., 2017)

Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images. - Renlong Hang; Qingshan Liu 001; Yubao Sun; Xiaotong Yuan; Hucheng Pei; Javier Plaza; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition. - Bo Liu 005; Xiao-Tong Yuan; Yang Yu 010; Qingshan Liu 001; Dimitris N. Metaxas (ACM Trans. Embed. Comput. Syst., 2017)

Sparseness Analysis in the Pretraining of Deep Neural Networks. - Jun Li 027; Tong Zhang 001; Wei Luo 006; Jian Yang 003; Xiao-Tong Yuan; Jian Zhang 025 (IEEE Trans. Neural Networks Learn. Syst., 2017)

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. - Bin Gu 001; Xiao-Tong Yuan; Songcan Chen; Heng Huang (KDD, 2018)

New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity. - Pan Zhou 002; Xiaotong Yuan; Jiashi Feng (NeurIPS, 2018)

Efficient Stochastic Gradient Hard Thresholding. - Pan Zhou 002; Xiaotong Yuan; Jiashi Feng (NeurIPS, 2018)

Integrating Convolutional Neural Network and Gated Recurrent Unit for Hyperspectral Image Spectral-Spatial Classification. - Feng Zhou 006; Renlong Hang; Qingshan Liu 001; Xiaotong Yuan (PRCV (4), 2018)

Matrix Completion with Nonuniform Sampling: Theories and Methods. - Guangcan Liu; Qingshan Liu 001; Xiao-Tong Yuan; Meng Wang 001 (CoRR, 2018)

Reversed Spectral Hashing. - Qingshan Liu 001; Guangcan Liu; Lai Li; Xiao-Tong Yuan; Meng Wang 001; Wei Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. - Bo Liu 005; Xiao-Tong Yuan; Lezi Wang; Qingshan Liu 001; Junzhou Huang; Dimitris N. Metaxas (AISTATS, 2019)

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. - Pan Zhou 002; Xiao-Tong Yuan; Jiashi Feng (AISTATS, 2019)

Efficient Meta Learning via Minibatch Proximal Update. - Pan Zhou 002; Xiaotong Yuan; Huan Xu 001; Shuicheng Yan; Jiashi Feng (NeurIPS, 2019)

Quadratic Approximation Greedy Pursuit for Cardinality-Constrained Sparse Learning. - Fanfan Ji; Hui Shuai; Xiao-Tong Yuan (PRCV (1), 2019)

Pruning Convolutional Neural Networks via Stochastic Gradient Hard Thresholding. - Xin Yang; Haiwei Lu; Hui Shuai; Xiao-Tong Yuan (PRCV (1), 2019)

Hyperspectral image classification using spectral-spatial LSTMs. - Feng Zhou 006; Renlong Hang; Qingshan Liu 001; Xiaotong Yuan (Neurocomputing, 2019)

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). - Yahui Wang; Bo Liu 005; Xiaotong Yuan (计算机科学, 2019)

Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion. - Feng Zhou 006; Renlong Hang; Qingshan Liu 001; Xiaotong Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding. - Xiao-Tong Yuan; Ping Li 001 (COLT, 2020)

Meta-learning with Network Pruning. - Hongduan Tian; Bo Liu 005; Xiao-Tong Yuan; Qingshan Liu 001 (ECCV (19), 2020)

Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. - Pan Zhou 002; Xiao-Tong Yuan (ICML, 2020)

Pruning Deep Convolutional Neural Networks via Gradient Support Pursuit. - Jue Wang; Fanfan Ji; Xiao-Tong Yuan (PRCV (3), 2020)

Machine learning for faster and smarter fluorescence lifetime imaging microscopy. - Varun Mannam; Yide Zhang; Xiaotong Yuan; Cara Ravasio; Scott S. Howard (CoRR, 2020)

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond. - Xiao-Tong Yuan; Ping Li 001 (J. Mach. Learn. Res., 2020)

Dual Iterative Hard Thresholding. - Xiao-Tong Yuan; Bo Liu 005; Lezi Wang; Qingshan Liu 001; Dimitris N. Metaxas (J. Mach. Learn. Res., 2020)

Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting. - Yubao Sun; Ying Yang; Qingshan Liu 001; Jiwei Chen; Xiao-Tong Yuan; Guodong Guo (IEEE Trans. Multim., 2020)

DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance. - Kaihua Zhang 001; Mingliang Dong; Bo Liu 005; Xiao-Tong Yuan; Qingshan Liu 001 (CVPR, 2021)

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. - Pan Zhou 002; Caiming Xiong; Xiaotong Yuan; Steven Chu-Hong Hoi (NeurIPS, 2021)

Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. - Pan Zhou 002; Hanshu Yan; Xiaotong Yuan; Jiashi Feng; Shuicheng Yan (NeurIPS, 2021)

Task similarity aware meta learning: theory-inspired improvement on MAML. - Pan Zhou 002; Yingtian Zou; Xiao-Tong Yuan; Jiashi Feng; Caiming Xiong; Steven C. H. Hoi (UAI, 2021)

Deep learning-based super-resolution fluorescence microscopy on small datasets. - Varun Mannam; Yide Zhang; Xiaotong Yuan; Scott S. Howard (CoRR, 2021)

Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM). - Varun Mannam; Yide Zhang; Xiaotong Yuan; Takashi Hato; Pierre C. Dagher; Evan L. Nichols; Cody J. Smith; Kenneth W. Dunn; Scott S. Howard (CoRR, 2021)

Matrix Completion with Deterministic Sampling: Theories and Methods. - Guangcan Liu; Qingshan Liu 001; Xiao-Tong Yuan; Meng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. - Pan Zhou 002; Xiao-Tong Yuan; Shuicheng Yan; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. - William de Vazelhes; Hualin Zhang; Huimin Wu; Xiaotong Yuan; Bin Gu 001 (NeurIPS, 2022)

On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. - Xiaotong Yuan; Ping Li 001 (NeurIPS, 2022)

Boosting the Confidence of Generalization for L2-Stable Randomized Learning Algorithms. - Xiao-Tong Yuan; Ping Li 001 (CoRR, 2022)

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. - Pan Zhou 002; Xiao-Tong Yuan; Zhouchen Lin; Steven C. H. Hoi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A globally convergent approximate Newton method for non-convex sparse learning. - Fanfan Ji; Hui Shuai; Xiao-Tong Yuan (Pattern Recognit., 2022)

Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data. - Mei Xue; Renlong Hang; Xiao-Tong Yuan; Pengfei Xiao; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Stability and Risk Bounds of Iterative Hard Thresholding. - Xiao-Tong Yuan; Ping Li 001 (IEEE Trans. Inf. Theory, 2022)

Minimum Path Cost Multi-path Routing Algorithm with No Intersecting Links in Quantum Key Distribution Networks. - Minghui Miao; Shuo Fang; Weijie Wu; Xiaotong Yuan; Lin Bi (ICISCAE, 2023)

Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. - Xiaotong Yuan; Ping Li 001 (ICLR, 2023)

L2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting. - Xiaotong Yuan; Ping Li 001 (NeurIPS, 2023)

Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation. - Xiao-Tong Yuan; Ping Li 001 (J. Mach. Learn. Res., 2023)

Improving fluorescence lifetime imaging microscopy phasor accuracy using convolutional neural networks. - Varun Mannam; Jacob Brandt; Cody J. Smith; Xiaotong Yuan; Scott S. Howard (Frontiers Bioinform., 2023)

Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery. - William de Vazelhes; Bhaskar Mukhoty; Xiao-Tong Yuan; Bin Gu 001 (AAAI, 2024)

Deep Precipitation Nowcasting With Dual Regions Displacement Information and Global Spatiotemporal Representations Learning. - Zefeng Pan; Fanfan Ji; Yunlong Zhou; Renlong Hang; Qingshan Liu 001; Xiao-Tong Yuan (IEEE Geosci. Remote. Sens. Lett., 2024)

Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting. - Yunlong Zhou; Renlong Hang; Fanfan Ji; Zefeng Pan; Qingshan Liu 001; Xiao-Tong Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Short-Long Term Sequence Learning Network for Precipitation Nowcasting. - Zefeng Pan; Renlong Hang; Qingshan Liu 001; Xiao-Tong Yuan (IEEE Trans. Geosci. Remote. Sens., 2024)

Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data. - Fanfan Ji; Xiao-Tong Yuan; Qingshan Liu 001 (IEEE Trans. Multim., 2024)

The Spatiotemporal Dynamics of Insect Predator-Prey System Incorporating Refuge Effect. - Huayong Zhang; Xiaotong Yuan; Hengchao Zou; Lei Zhao; Zhongyu Wang; Fenglu Guo; Zhao Liu (Entropy, 2024)

Cross-Domain Few-Shot Classification via Dense-Sparse-Dense Regularization. - Fanfan Ji; Yunpeng Chen; Luoqi Liu; Xiao-Tong Yuan (IEEE Trans. Circuits Syst. Video Technol., 2024)

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. - Chenhan Xu; Xiaotong Yuan (IEEE Access, 2025)

Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting. - Zefeng Pan; Renlong Hang; Qingshan Liu 001; Chunxiang Shi; Zhiqiang Xu 003; Xiao-Tong Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation. - Yongle Li; Bo Liu 005; XianSheng Hua 001; Zheng Zhang 006; Xiaotong Yuan; Richang Hong (CoRR, 2025)

Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees. - William de Vazelhes; Xiao-Tong Yuan; Bin Gu 001 (CoRR, 2025)