Nonnegative deconvolution for time of arrival estimation. - Yuanqing Lin; Daniel D. Lee; Lawrence K. Saul (ICASSP (2), 2004)

Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation. - Yuanqing Lin; Daniel D. Lee (NIPS, 2004)

Relevant deconvolution for acoustic source estimation. - Yuanqing Lin; Daniel D. Lee (ICASSP (5), 2005)

Learning nonlinear appearance manifolds for robot localization. - Jihun Ham; Yuanqing Lin; Daniel D. Lee (IROS, 2005)

Cooperative relative robot localization with audible acoustic sensing. - Yuanqing Lin; Paul Vernaza; Jihun Ham; Daniel D. Lee (IROS, 2005)

Bayesian L1-Norm Sparse Learning. - Yuanqing Lin; Daniel D. Lee (ICASSP (5), 2006)

Bayesian regularization and nonnegative deconvolution for room impulse response estimation. - Yuanqing Lin; Daniel D. Lee (IEEE Trans. Signal Process., 2006)

Blind channel identification for speech dereverberation using l1-norm sparse learning. - Yuanqing Lin; Jingdong Chen; Youngmoo E. Kim; Daniel D. Lee (NIPS, 2007)

Multiplicative Updates for Nonnegative Quadratic Programming. - Fei Sha; Yuanqing Lin; Lawrence K. Saul; Daniel D. Lee (Neural Comput., 2007)

Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. - Yuanqing Lin; Shenghuo Zhu; Daniel D. Lee; Ben Taskar (AISTATS, 2009)

Deep Coding Network. - Yuanqing Lin; Tong Zhang 001; Shenghuo Zhu; Kai Yu 001 (NIPS, 2010)

Videos Semantic Indexing using Image Classification. - Ming Yang 007; Yuanqing Lin; Fengjun Lv; Shenghuo Zhu; Kai Yu 001; Mert Dikmen; Liangliang Cao; Thomas S. Huang (TRECVID, 2010)

Laplacian spectrum characterization of extensions of vertices of wheel graphs and multi-fan graphs. - Yuanqing Lin; Jinlong Shu; Yao Meng (Comput. Math. Appl., 2010)

Large-scale image classification: Fast feature extraction and SVM training. - Yuanqing Lin; Fengjun Lv; Shenghuo Zhu; Ming Yang 007; Timothée Cour; Kai Yu 001; Liangliang Cao; Thomas S. Huang (CVPR, 2011)

Learning image representations from the pixel level via hierarchical sparse coding. - Kai Yu 001; Yuanqing Lin; John D. Lafferty (CVPR, 2011)

Multi-component Models for Object Detection. - Chunhui Gu; Pablo Andrés Arbeláez; Yuanqing Lin; Kai Yu 001; Jitendra Malik (ECCV (4), 2012)

Object-Centric Spatial Pooling for Image Classification. - Olga Russakovsky; Yuanqing Lin; Kai Yu 001; Li Fei-Fei 001 (ECCV (2), 2012)

Influence Analysis in the Blogosphere - Michinari Momma; Yun Chi; Yuanqing Lin; Shenghuo Zhu; Tianbao Yang (CoRR, 2012)

Dense Object Reconstruction with Semantic Priors. - Sid Ying-Ze Bao; Manmohan Chandraker; Yuanqing Lin; Silvio Savarese (CVPR, 2013)

Image segmentation for large-scale subcategory flower recognition. - Anelia Angelova; Shenghuo Zhu; Yuanqing Lin (WACV, 2013)

On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent. - Tianbao Yang; Shenghuo Zhu; Rong Jin 001; Yuanqing Lin (CoRR, 2013)

Accurate Object Detection with Location Relaxation and Regionlets Re-localization. - Chengjiang Long; Xiaoyu Wang 002; Gang Hua 001; Ming Yang 007; Yuanqing Lin (ACCV (1), 2014)

Generic Object Detection with Dense Neural Patterns and Regionlets. - Will Y. Zou; Xiaoyu Wang; Miao Sun; Yuanqing Lin (BMVC, 2014)

An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization. - Qi Qian 001; Rong Jin 001; Shenghuo Zhu; Yuanqing Lin (CoRR, 2014)

Object-centric Sampling for Fine-grained Image Classification. - Xiaoyu Wang; Tianbao Yang; Guobin Chen; Yuanqing Lin (CoRR, 2014)

Towards Codebook-Free: Scalable Cascaded Hashing for Mobile Image Search. - Wengang Zhou 001; Ming Yang 007; Houqiang Li; Xiaoyu Wang 002; Yuanqing Lin; Qi Tian 001 (IEEE Trans. Multim., 2014)

Fine-grained visual categorization via multi-stage metric learning. - Qi Qian 001; Rong Jin 001; Shenghuo Zhu; Yuanqing Lin (CVPR, 2015)

Data-driven 3D Voxel Patterns for object category recognition. - Yu Xiang; Wongun Choi; Yuanqing Lin; Silvio Savarese (CVPR, 2015)

Hyper-class augmented and regularized deep learning for fine-grained image classification. - Saining Xie; Tianbao Yang; Xiaoyu Wang 002; Yuanqing Lin (CVPR, 2015)

Regionlets for Generic Object Detection. - Xiaoyu Wang 002; Ming Yang 007; Shenghuo Zhu; Yuanqing Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Semantic-Aware Co-Indexing for Image Retrieval. - Shiliang Zhang; Ming Yang 007; Xiaoyu Wang 002; Yuanqing Lin; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Cross Indexing With Grouplets. - Shiliang Zhang; Xiaoyu Wang 002; Yuanqing Lin; Qi Tian 001 (IEEE Trans. Multim., 2015)

Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop. - Yin Cui; Feng Zhou 002; Yuanqing Lin; Serge J. Belongie (CVPR, 2016)

Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers. - Fan Yang; Wongun Choi; Yuanqing Lin (CVPR, 2016)

Embedding Label Structures for Fine-Grained Feature Representation. - Xiaofan Zhang 002; Feng Zhou 002; Yuanqing Lin; Shaoting Zhang 001 (CVPR, 2016)

Fine-Grained Image Classification by Exploring Bipartite-Graph Labels. - Feng Zhou 002; Yuanqing Lin (CVPR, 2016)

Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition. - Xiao Liu 022; Tian Xia; Jiang Wang; Yuanqing Lin (CoRR, 2016)

Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval. - Wengang Zhou 001; Ming Yang 007; Xiaoyu Wang 002; Houqiang Li; Yuanqing Lin; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition. - Xiao Liu 022; Jiang Wang; Shilei Wen; Errui Ding; Yuanqing Lin (AAAI, 2017)

Kernel Pooling for Convolutional Neural Networks. - Yin Cui; Feng Zhou 002; Jiang Wang; Xiao Liu 022; Yuanqing Lin; Serge J. Belongie (CVPR, 2017)

Deep Metric Learning with Angular Loss. - Jian Wang; Feng Zhou 002; Shilei Wen; Xiao Liu 022; Yuanqing Lin (ICCV, 2017)

Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection. - Yu Xiang; Wongun Choi; Yuanqing Lin; Silvio Savarese (WACV, 2017)

Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification. - Yunlong Bian; Chuang Gan 001; Xiao Liu 022; Fu Li 003; Xiang Long; Yandong Li; Heng Qi; Jie Zhou; Shilei Wen; Yuanqing Lin (CoRR, 2017)

The ApolloScape Dataset for Autonomous Driving. - Xinyu Huang 001; Xinjing Cheng; Qichuan Geng; Binbin Cao; Dingfu Zhou; Peng Wang 001; Yuanqing Lin; Ruigang Yang (CVPR Workshops, 2018)

DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map. - Peng Wang 001; Ruigang Yang; Binbin Cao; Wei Xu 017; Yuanqing Lin (CVPR, 2018)

Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. - Qiang Meng; Feng Zhou 002; Hainan Ren; Tianshu Feng; Guochao Liu; Yuanqing Lin (ICLR, 2022)