Xiaotong Yuan - RankMe

77 papers A* 24A 4B 4C 1Misc 1Journal 28Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Search Agent with One Line of Code. CoRR Jian Li, Dongsheng Chen, Zhenhua Xu, Yizhang Jin, Jiafu Wu, Chengjie Wang, Xiaotong Yuan, Yabiao Wang
2026	J	`jnl`	SE-Search: Self-Evolving Search Agent via Memory and Dense Reward. CoRR Jian Li, Yizhang Jin, Dongqi Liu, Hang Ding, Jiafu Wu, Dongsheng Chen, Yunhang Shen, Yulei Qin, Ying Tai, Chengjie Wang, Xiaotong Yuan, Yabiao Wang
2025	J	`jnl`	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 Chenhan Xu, Xiaotong Yuan
2025	—	`ed.`	Biometric Recognition - 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22-24, 2024, Proceedings, Part I CCBR (1) Shiqi Yu, Wei Jia, Xiangbo Shu, Xiaotong Yuan, Jie Gui, Jinhui Tang, Caifeng Shan, Qingshan Liu
2025	—	`ed.`	Biometric Recognition - 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22-24, 2024, Proceedings, Part II CCBR (2) Shiqi Yu, Wei Jia, Xiangbo Shu, Xiaotong Yuan, Jie Gui, Jinhui Tang, Caifeng Shan, Qingshan Liu
2025	J	`jnl`	Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation. CoRR Yongle Li, Bo Liu, Xiansheng Hua, Zheng Zhang, Xiaotong Yuan, Richang Hong
2025	A*	`conf`	Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees. ICML William de Vazelhes, Xiaotong Yuan, Bin Gu
2024	J	`jnl`	The Spatiotemporal Dynamics of Insect Predator-Prey System Incorporating Refuge Effect. Entropy Huayong Zhang, Xiaotong Yuan, Hengchao Zou, Lei Zhao, Zhongyu Wang, Fenglu Guo, Zhao Liu
2023	A*	`conf`	Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms. ICLR Xiaotong Yuan, Ping Li
2023	J	`jnl`	Improving fluorescence lifetime imaging microscopy phasor accuracy using convolutional neural networks. Frontiers Bioinform. Varun Mannam, Jacob Brandt, Cody J. Smith, Xiaotong Yuan, Scott S. Howard
2023	A*	`conf`	L NeurIPS Xiaotong Yuan, Ping Li
2023	—	`conf`	Minimum Path Cost Multi-path Routing Algorithm with No Intersecting Links in Quantum Key Distribution Networks. ICISCAE Minghui Miao, Shuo Fang, Weijie Wu, Xiaotong Yuan, Lin Bi
2022	A*	`conf`	On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. NeurIPS Xiaotong Yuan, Ping Li
2022	A*	`conf`	Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. NeurIPS William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu
2021	A*	`conf`	A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi
2021	J	`jnl`	Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM). CoRR Varun Mannam, Yide Zhang, Xiaotong Yuan, Takashi Hato, Pierre C. Dagher, Evan L. Nichols, Cody J. Smith, Kenneth W. Dunn, Scott S. Howard
2021	J	`jnl`	Deep learning-based super-resolution fluorescence microscopy on small datasets. CoRR Varun Mannam, Yide Zhang, Xiaotong Yuan, Scott S. Howard
2021	A	`conf`	Stability and Risk Bounds of Iterative Hard Thresholding. AISTATS Xiaotong Yuan, Ping Li
2021	A*	`conf`	Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
2020	J	`jnl`	Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. CoRR Pan Zhou, Xiaotong Yuan
2020	J	`jnl`	Machine learning for faster and smarter fluorescence lifetime imaging microscopy. CoRR Varun Mannam, Yide Zhang, Xiaotong Yuan, Cara Ravasio, Scott S. Howard
2019	A*	`conf`	Efficient Meta Learning via Minibatch Proximal Update. NeurIPS Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng
2019	J	`jnl`	Hyperspectral image classification using spectral-spatial LSTMs. Neurocomputing Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
2019	J	`jnl`	Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
2019	J	`jnl`	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 Yahui Wang, Bo Liu, Xiaotong Yuan
2018	A*	`conf`	Efficient Stochastic Gradient Hard Thresholding. NeurIPS Pan Zhou, Xiaotong Yuan, Jiashi Feng
2018	—	`conf`	Integrating Convolutional Neural Network and Gated Recurrent Unit for Hyperspectral Image Spectral-Spatial Classification. PRCV (4) Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
2018	A*	`conf`	New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity. NeurIPS Pan Zhou, Xiaotong Yuan, Jiashi Feng
2017	—	`conf`	A New Theory for Matrix Completion. NIPS Guangcan Liu, Qingshan Liu, Xiaotong Yuan
2017	J	`jnl`	Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. CoRR Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan
2017	J	`jnl`	Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. Remote. Sens. Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan
2017	—	`conf`	Hyperspectral Image Classification Using Spectral-Spatial LSTMs. CCCV (1) Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan
2017	J	`jnl`	Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Renlong Hang, Qingshan Liu, Yubao Sun, Xiaotong Yuan, Hucheng Pei, Javier Plaza, Antonio Plaza
2016	B	`conf`	Grey relational analysis based on velocity and acceleration and its application. SMC Kedong Yin, Xiaotong Yuan, Xuemei Li, Shengmin Fang
2016	J	`jnl`	Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods. CoRR Xiaojie Jin, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
2014	J	`jnl`	Continuous attractors of higher-order recurrent neural networks with infinite neurons. Neurocomputing Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu
2014	A*	`conf`	Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization. ICML Xiaotong Yuan, Ping Li, Tong Zhang
2014	—	`book`	Robust Recognition via Information Theoretic Learning Ran He, Bao-Gang Hu, Xiaotong Yuan, Liang Wang
2014	J	`jnl`	Robust tracking via patch-based appearance model and local background estimation. Neurocomputing Bineng Zhong, Yan Chen, Yingju Shen, Yewang Chen, Zhen Cui, Rongrong Ji, Xiaotong Yuan, Duansheng Chen, Weibin Chen
2014	J	`jnl`	Structured partial least squares for simultaneous object tracking and segmentation. Neurocomputing Bineng Zhong, Xiaotong Yuan, Rongrong Ji, Yan Yan, Zhen Cui, Xiaopeng Hong, Yan Chen, Tian Wang, Duansheng Chen, Jiaxin Yu
2013	J	`jnl`	A fast convex conjugated algorithm for sparse recovery. Neurocomputing Ran He, Xiaotong Yuan, Wei-Shi Zheng
2013	Misc	`conf`	Learning weighted Hamming distance for binary descriptors. ICASSP Bin Fan, Qingqun Kong, Xiaotong Yuan, Zhiheng Wang, Chunhong Pan
2013	J	`jnl`	Supervised sparse patch coding towards misalignment-robust face recognition. J. Vis. Commun. Image Represent. Congyan Lang, Songhe Feng, Bin Chen, Xiaotong Yuan
2013	J	`jnl`	Why does the unsupervised pretraining encourage moderate-sparseness? CoRR Jun Li, Wei Luo, Jian Yang, Xiaotong Yuan
2012	—	`conf`	Auto-Grouped Sparse Representation for Visual Analysis. ECCV (1) Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan
2012	A	`conf`	Forward Basis Selection for Sparse Approximation over Dictionary. AISTATS Xiaotong Yuan, Shuicheng Yan
2011	A	`conf`	A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems. AISTATS Xiaotong Yuan, Shuicheng Yan
2011	A*	`conf`	Accelerated low-rank visual recovery by random projection. CVPR Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
2011	J	`jnl`	Correntropy based feature selection using binary projection. Pattern Recognit. Hui Yan, Xiaotong Yuan, Shuicheng Yan, Jingyu Yang
2011	A*	`conf`	Efficient Subspace Segmentation via Quadratic Programming. AAAI Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen
2011	J	`jnl`	Information-Theoretic Measures for Objective Evaluation of Classifications CoRR Bao-Gang Hu, Ran He, Xiaotong Yuan
2011	A*	`conf`	Multi-class semi-supervised SVMs with Positiveness Exclusive Regularization. ICCV Xiaobai Liu, Xiaotong Yuan, Shuicheng Yan, Hai Jin
2011	A*	`conf`	Towards multi-semantic image annotation with graph regularized exclusive group lasso. ACM Multimedia Xiangyu Chen, Xiaotong Yuan, Shuicheng Yan, Jinhui Tang, Yong Rui, Tat-Seng Chua
2010	A*	`conf`	Cast2Face: character identification in movie with actor-character correspondence. ACM Multimedia Mengdi Xu, Xiaotong Yuan, Jialie Shen, Shuicheng Yan
2010	J	`jnl`	Local Histogram of Figure/Ground Segmentations for Dynamic Background Subtraction. EURASIP J. Adv. Signal Process. Bineng Zhong, Hongxun Yao, Shaohui Liu, Xiaotong Yuan
2010	A*	`conf`	Movie2Comics: a feast of multimedia artwork. ACM Multimedia Richang Hong, Xiaotong Yuan, Mengdi Xu, Meng Wang, Shuicheng Yan, Tat-Seng Chua
2010	J	`jnl`	Principal component analysis based on non-parametric maximum entropy. Neurocomputing Ran He, Bao-Gang Hu, Xiaotong Yuan, Wei-Shi Zheng
2010	J	`jnl`	Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees CoRR Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong
2010	—	`conf`	Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. ICDM Workshops Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong
2010	A*	`conf`	Visual classification with multi-task joint sparse representation. CVPR Xiaotong Yuan, Shuicheng Yan
2010	A*	`conf`	Visual tracking via weakly supervised learning from multiple imperfect oracles. CVPR Bineng Zhong, Hongxun Yao, Sheng Chen, Rongrong Ji, Xiaotong Yuan, Shaohui Liu, Wen Gao
2010	A*	`conf`	iComics: automatic conversion of movie into comics. ACM Multimedia Richang Hong, Meng Wang, Guangda Li, Xiaotong Yuan, Shuicheng Yan, Tat-Seng Chua
2009	A	`conf`	Agglomerative Mean-Shift Clustering via Query Set Compression. SDM Xiaotong Yuan, Bao-Gang Hu, Ran He
2009	C	`conf`	Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. ACML Ran He, Bao-Gang Hu, Xiaotong Yuan
2009	A*	`conf`	Robust feature extraction via information theoretic learning. ICML Xiaotong Yuan, Bao-Gang Hu
2009	A*	`conf`	Stochastic gradient kernel density mode-seeking. CVPR Xiaotong Yuan, Stan Z. Li
2008	—	`conf`	A set theoretical method for video synopsis. Multimedia Information Retrieval Min Xu, Stan Z. Li, Bin Li, Xiaotong Yuan, Shiming Xiang
2008	B	`conf`	Regularized active shape model for shape alignment. FG Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li
2007	—	`conf`	Color Constancy Via Convex Kernel Optimization. ACCV (1) Xiaotong Yuan, Stan Z. Li, Ran He
2007	A*	`conf`	Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method. ICCV Xiaotong Yuan, Stan Z. Li
2007	A*	`conf`	Real-time Object Classification in Video Surveillance Based on Appearance Learning. CVPR Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang
2007	—	`conf`	Structured Ordinal Features for Appearance-Based Object Representation. AMFG Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, Ran He
2006	B	`conf`	A Random Field Model for Improved Feature Extraction and Tracking. AVSS Xiaotong Yuan, Stan Z. Li
2006	B	`conf`	Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework. AVSS Xiaotong Yuan, Stan Z. Li
2005	—	`conf`	A Robust Framework For Eigenspace Image Reconstruction. WACV/MOTION Xiaotong Yuan, Hongwen Zhu, Shutang Yang
2005	—	`conf`	Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking. ICIP (2) Feng Chen, Xiaotong Yuan, Shutang Yang
2005	—	`conf`	Region Tracking via HMMF in Joint Feature-Spatial Space. WACV/MOTION Xiaotong Yuan, Shutang Yang, Hongwen Zhu