Kai Yu - RankMe

85 papers A* 27A 11B 1Journal 13Unranked 32

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	Smooth sparse coding via marginal regression for learning sparse representations. Artif. Intell. Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
2015	J	`jnl`	Bidirectional LSTM-CRF Models for Sequence Tagging. CoRR Zhiheng Huang, Wei Xu, Kai Yu
2015	A	`conf`	Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? WSDM Andrei Z. Broder, Lada A. Adamic, Michael J. Franklin, Maarten de Rijke, Eric P. Xing, Kai Yu
2015	J	`jnl`	Query Specific Rank Fusion for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris N. Metaxas
2013	J	`jnl`	3D Convolutional Neural Networks for Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
2013	A	`conf`	High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning. UAI Krishnakumar Balasubramanian, Kai Yu, Tong Zhang
2013	J	`jnl`	High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning. CoRR Krishnakumar Balasubramanian, Kai Yu, Tong Zhang
2013	A	`conf`	Large-scale deep learning at Baidu. CIKM Kai Yu
2013	—	`conf`	Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations. ICML (3) Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
2012	J	`jnl`	Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes CoRR Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang
2012	—	`conf`	Deep Learning of Invariant Features via Simulated Fixations in Video. NIPS Will Y. Zou, Andrew Y. Ng, Shenghuo Zhu, Kai Yu
2012	J	`jnl`	Infinite Hidden Relational Models. CoRR Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
2012	J	`jnl`	Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval CoRR Chang Huang, Shenghuo Zhu, Kai Yu
2012	—	`conf`	Multi-component Models for Object Detection. ECCV (4) Chunhui Gu, Pablo Andrés Arbeláez, Yuanqing Lin, Kai Yu, Jitendra Malik
2012	—	`conf`	Object-Centric Spatial Pooling for Image Classification. ECCV (2) Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei
2012	—	`conf`	Query Specific Fusion for Image Retrieval. ECCV (2) Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris N. Metaxas
2012	J	`jnl`	Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations CoRR Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon
2011	A*	`conf`	Contextual weighting for vocabulary tree based image retrieval. ICCV Xiaoyu Wang, Ming Yang, Timothée Cour, Shenghuo Zhu, Kai Yu, Tony X. Han
2011	A*	`conf`	Correspondence driven adaptation for human profile recognition. CVPR Ming Yang, Shenghuo Zhu, Fengjun Lv, Kai Yu
2011	—	`conf`	Efficient re-ranking in vocabulary tree based image retrieval. ACSCC Xiaoyu Wang, Ming Yang, Kai Yu
2011	A*	`conf`	Large-scale image classification: Fast feature extraction and SVM training. CVPR Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang
2011	A*	`conf`	Learning image representations from the pixel level via hierarchical sparse coding. CVPR Kai Yu, Yuanqing Lin, John D. Lafferty
2011	B	`conf`	Real-time clothing recognition in surveillance videos. ICIP Ming Yang, Kai Yu
2010	A*	`conf`	3D Convolutional Neural Networks for Human Action Recognition. ICML Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
2010	—	`conf`	Deep Coding Network. NIPS Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu
2010	—	`conf`	Efficient Highly Over-Complete Sparse Coding Using a Mixture Model. ECCV (5) Jianchao Yang, Kai Yu, Thomas S. Huang
2010	J	`jnl`	Feature Selection for Gene Expression Using Model-Based Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihong Gong
2010	—	`conf`	Image Classification Using Super-Vector Coding of Local Image Descriptors. ECCV (5) Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang
2010	A*	`conf`	Improved Local Coordinate Coding using Local Tangents. ICML Kai Yu, Tong Zhang
2010	A*	`conf`	Locality-constrained Linear Coding for image classification. CVPR Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Thomas S. Huang, Yihong Gong
2010	—	`conf`	Predicting Facial Beauty without Landmarks. ECCV (6) Douglas Gray, Kai Yu, Wei Xu, Yihong Gong
2010	A*	`conf`	Supervised translation-invariant sparse coding. CVPR Jianchao Yang, Kai Yu, Thomas S. Huang
2010	—	`conf`	Videos Semantic Indexing using Image Classification. TRECVID Ming Yang, Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Kai Yu, Mert Dikmen, Liangliang Cao, Thomas S. Huang
2009	—	`conf`	Detecting Human Actions in Surveillance Videos. TRECVID Ming Yang, Shuiwang Ji, Wei Xu, Jinjun Wang, Fengjun Lv, Kai Yu, Yihong Gong, Mert Dikmen, Dennis J. Lin, Thomas S. Huang
2009	A*	`conf`	Detecting video events based on action recognition in complex scenes using spatio-temporal descriptor. ACM Multimedia Guangyu Zhu, Ming Yang, Kai Yu, Wei Xu, Yihong Gong
2009	A*	`conf`	Fast nonparametric matrix factorization for large-scale collaborative filtering. SIGIR Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gong
2009	—	`conf`	Human action detection by boosting efficient motion features. ICCV Workshops Ming Yang, Fengjun Lv, Wei Xu, Kai Yu, Yihong Gong
2009	A*	`conf`	Large-scale collaborative prediction using a nonparametric random effects model. ICML Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong
2009	A*	`conf`	Linear spatial pyramid matching using sparse coding for image classification. CVPR Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huang
2009	—	`conf`	Nonlinear Learning using Local Coordinate Coding. NIPS Kai Yu, Tong Zhang, Yihong Gong
2009	A*	`conf`	Tutorial summary: Learning with dependencies between several response variables. ICML Volker Tresp, Kai Yu
2009	—	`conf`	UCSC at Relevance Feedback Track. TREC Lanbo Zhang, Jadiel de Arma, Kai Yu
2008	—	`conf`	Deep Learning with Kernel Regularization for Visual Recognition. NIPS Kai Yu, Wei Xu, Yihong Gong
2008	A*	`conf`	Learning multiple graphs for document recommendations. WWW Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles
2008	A*	`conf`	Non-greedy active learning for text categorization using convex transductive experimental design. SIGIR Kai Yu, Shenghuo Zhu, Wei Xu, Yihong Gong
2008	—	`conf`	Stochastic Relational Models for Large-scale Dyadic Data using MCMC. NIPS Shenghuo Zhu, Kai Yu, Yihong Gong
2008	—	`conf`	Surveillance Event Detection. TRECVID Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangliang Cao, Vuong Le, Shen-Fu Tsai, Kai-Hsiang Lin, Zhen Li, Jianchao Yang, Thomas S. Huang, Fengjun Lv, Wei Xu, Ming Yang, Kai Yu, Guangyu Zhu, Yihong Gong
2008	—	`conf`	Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. ECCV (3) Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing
2007	A*	`conf`	Combining content and link for classification using matrix factorization. SIGIR Shenghuo Zhu, Kai Yu, Yun Chi, Yihong Gong
2007	—	`conf`	Fast Inference in Infinite Hidden Relational Models. MLG Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel
2007	—	`conf`	Gaussian Process Models for Link Analysis and Transfer Learning. NIPS Kai Yu, Wei Chu
2007	A*	`conf`	Local learning projections. ICML Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf
2007	—	`conf`	Predictive Matrix-Variate t Models. NIPS Shenghuo Zhu, Kai Yu, Yihong Gong
2007	A*	`conf`	Robust multi-task learning with ICML Shipeng Yu, Volker Tresp, Kai Yu
2006	A*	`conf`	Active learning via transductive experimental design. ICML Kai Yu, Jinbo Bi, Volker Tresp
2006	A*	`conf`	Collaborative ordinal regression. ICML Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
2006	A	`conf`	Infinite Hidden Relational Models. UAI Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
2006	J	`jnl`	Multi-Output Regularized Feature Projection. IEEE Trans. Knowl. Data Eng. Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
2006	—	`conf`	Stochastic Relational Models for Discriminative Link Prediction. NIPS Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu
2006	A*	`conf`	Supervised probabilistic principal component analysis. KDD Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu
2006	—	`conf`	Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. ECML Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
2005	—	`conf`	A Probabilistic Clustering-Projection Model for Discrete Data. PKDD Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
2005	A	`conf`	Dirichlet Enhanced Latent Semantic Analysis. AISTATS Kai Yu, Shipeng Yu, Volker Tresp
2005	A*	`conf`	Dirichlet enhanced relational learning. ICML Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel
2005	A*	`conf`	Hierarchy-Regularized Latent Semantic Indexing. ICDM Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel
2005	A*	`conf`	Learning Gaussian processes from multiple tasks. ICML Kai Yu, Volker Tresp, Anton Schwaighofer
2005	—	`conf`	Multi-Output Regularized Projection. CVPR (2) Kai Yu, Shipeng Yu, Volker Tresp
2005	A*	`conf`	Multi-label informed latent semantic indexing. SIGIR Kai Yu, Shipeng Yu, Volker Tresp
2005	—	`conf`	Soft Clustering on Graphs. NIPS Shipeng Yu, Kai Yu, Volker Tresp
2004	A*	`conf`	A nonparametric hierarchical bayesian framework for information filtering. SIGIR Kai Yu, Volker Tresp, Shipeng Yu
2004	—	`conf`	Dirichlet Enhanced Latent Semantic Analysis. LWA Kai Yu, Shipeng Yu, Volker Tresp
2004	—	`conf`	Heterogenous Data Fusion via a Probabilistic Latent-Variable Model. ARCS Kai Yu, Volker Tresp
2004	—	`conf`	Learning Gaussian Process Kernels via Hierarchical Bayes. NIPS Anton Schwaighofer, Volker Tresp, Kai Yu
2004	J	`jnl`	Probabilistic Memory-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-Peter Kriegel
2004	—	`—`	Statistical learning approaches to information filtering. Kai Yu
2003	A	`conf`	A Hybrid Relevance-Feedback Approach to Text Retrieval. ECIR Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp
2003	—	`conf`	An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning. European Summer School on Multi-AgentControl Volker Tresp, Kai Yu
2003	A	`conf`	Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. UAI Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang
2003	J	`jnl`	Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*. Knowl. Inf. Syst. Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel
2003	A*	`conf`	Knowing a tree from the forest: art image retrieval using a society of profiles. ACM Multimedia Kai Yu, Wei-Ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, HongJiang Zhang, Hans-Peter Kriegel
2003	A	`conf`	Representative Sampling for Text Classification Using Support Vector Machines. ECIR Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang
2002	A	`conf`	Instance Selection Techniques for Memory-based Collaborative Filtering. SDM Kai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel
2002	A	`conf`	Removing redundancy and inconsistency in memory-based collaborative filtering. CIKM Kai Yu, Xiaowei Xu, Anton Schwaighofer, Volker Tresp, Hans-Peter Kriegel
2001	—	`conf`	Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address). DEXA Workshop Kai Yu, Zhong Wen, Xiaowei Xu, Martin Ester
2001	A	`conf`	Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering. CIKM Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel