Kai Yu

Publication Activity (10 Years)

Years Active: 2001-2015
Publications (10 Years): 3

Top Venues

CoRR

ECCV (2)

IEEE Trans. Pattern Anal. Mach. Intell.

NIPS

Ludwig Maximilian University of Munich, Germany (PHD)

Education History

Ludwig Maximilian University of Munich, Germany

PHD

Publications

Andrei Z. Broder, Lada A. Adamic, Michael J. Franklin, Maarten de Rijke, Eric P. Xing, Kai Yu
Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? WSDM (2015)
Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris N. Metaxas
Query Specific Rank Fusion for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 37 (4) (2015)
Zhiheng Huang, Wei Xu, Kai Yu
Bidirectional LSTM-CRF Models for Sequence Tagging. CoRR (2015)
Krishnakumar Balasubramanian, Kai Yu, Tong Zhang
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning. UAI (2013)
Krishnakumar Balasubramanian, Kai Yu, Tong Zhang
High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning. CoRR (2013)
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
3D Convolutional Neural Networks for Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35 (1) (2013)
Olga Russakovsky, Yuanqing Lin, Kai Yu, Li Fei-Fei
Object-Centric Spatial Pooling for Image Classification. ECCV (2) (2012)
Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
Infinite Hidden Relational Models. CoRR (2012)
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes CoRR (2012)
Will Y. Zou, Andrew Y. Ng, Shenghuo Zhu, Kai Yu
Deep Learning of Invariant Features via Simulated Fixations in Video. NIPS (2012)
Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris N. Metaxas
Query Specific Fusion for Image Retrieval. ECCV (2) (2012)
Chunhui Gu, Pablo Andrés Arbeláez, Yuanqing Lin, Kai Yu, Jitendra Malik
Multi-component Models for Object Detection. ECCV (4) (2012)
Chang Huang, Shenghuo Zhu, Kai Yu
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval CoRR (2012)
Ming Yang, Kai Yu
Real-time clothing recognition in surveillance videos. ICIP (2011)
Xiaoyu Wang, Ming Yang, Kai Yu
Efficient re-ranking in vocabulary tree based image retrieval. ACSCC (2011)
Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang
Large-scale image classification: Fast feature extraction and SVM training. CVPR (2011)
Ming Yang, Shenghuo Zhu, Fengjun Lv, Kai Yu
Correspondence driven adaptation for human profile recognition. CVPR (2011)
Kai Yu, Yuanqing Lin, John D. Lafferty
Learning image representations from the pixel level via hierarchical sparse coding. CVPR (2011)
Xiaoyu Wang, Ming Yang, Timothée Cour, Shenghuo Zhu, Kai Yu, Tony X. Han
Contextual weighting for vocabulary tree based image retrieval. ICCV (2011)
Kai Yu, Tong Zhang
Improved Local Coordinate Coding using Local Tangents. ICML (2010)
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
3D Convolutional Neural Networks for Human Action Recognition. ICML (2010)
Ming Yang, Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Kai Yu, Mert Dikmen, Liangliang Cao, Thomas S. Huang
Videos Semantic Indexing using Image Classification. TRECVID (2010)
Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Thomas S. Huang, Yihong Gong
Locality-constrained Linear Coding for image classification. CVPR (2010)
Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu
Deep Coding Network. NIPS (2010)
Douglas Gray, Kai Yu, Wei Xu, Yihong Gong
Predicting Facial Beauty without Landmarks. ECCV (6) (2010)
Jianchao Yang, Kai Yu, Thomas S. Huang
Efficient Highly Over-Complete Sparse Coding Using a Mixture Model. ECCV (5) (2010)
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihong Gong
Feature Selection for Gene Expression Using Model-Based Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (1) (2010)
Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang
Image Classification Using Super-Vector Coding of Local Image Descriptors. ECCV (5) (2010)
Jianchao Yang, Kai Yu, Thomas S. Huang
Supervised translation-invariant sparse coding. CVPR (2010)
Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huang
Linear spatial pyramid matching using sparse coding for image classification. CVPR (2009)
Guangyu Zhu, Ming Yang, Kai Yu, Wei Xu, Yihong Gong
Detecting video events based on action recognition in complex scenes using spatio-temporal descriptor. ACM Multimedia (2009)
Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong
Large-scale collaborative prediction using a nonparametric random effects model. ICML (2009)
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gong
Fast nonparametric matrix factorization for large-scale collaborative filtering. SIGIR (2009)
Ming Yang, Shuiwang Ji, Wei Xu, Jinjun Wang, Fengjun Lv, Kai Yu, Yihong Gong, Mert Dikmen, Dennis J. Lin, Thomas S. Huang
Detecting Human Actions in Surveillance Videos. TRECVID (2009)
Ming Yang, Fengjun Lv, Wei Xu, Kai Yu, Yihong Gong
Human action detection by boosting efficient motion features. ICCV Workshops (2009)
Kai Yu, Tong Zhang, Yihong Gong
Nonlinear Learning using Local Coordinate Coding. NIPS (2009)
Volker Tresp, Kai Yu
Tutorial summary: Learning with dependencies between several response variables. ICML (2009)
Lanbo Zhang, Jadiel de Arma, Kai Yu
UCSC at Relevance Feedback Track. TREC (2009)
Kai Yu, Wei Xu, Yihong Gong
Deep Learning with Kernel Regularization for Visual Recognition. NIPS (2008)
Kai Yu, Shenghuo Zhu, Wei Xu, Yihong Gong
Non-greedy active learning for text categorization using convex transductive experimental design. SIGIR (2008)
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xing
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. ECCV (3) (2008)
Shenghuo Zhu, Kai Yu, Yihong Gong
Stochastic Relational Models for Large-scale Dyadic Data using MCMC. NIPS (2008)
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
Surveillance Event Detection. TRECVID (2008)
Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles
Learning multiple graphs for document recommendations. WWW (2008)
Kai Yu, Wei Chu
Gaussian Process Models for Link Analysis and Transfer Learning. NIPS (2007)
Shenghuo Zhu, Kai Yu, Yihong Gong
Predictive Matrix-Variate t Models. NIPS (2007)
Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel
Fast Inference in Infinite Hidden Relational Models. MLG (2007)
Shipeng Yu, Volker Tresp, Kai Yu
-processes. ICML (2007)
Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf
Local learning projections. ICML (2007)
Shenghuo Zhu, Kai Yu, Yun Chi, Yihong Gong
Combining content and link for classification using matrix factorization. SIGIR (2007)
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
Multi-Output Regularized Feature Projection. IEEE Trans. Knowl. Data Eng. 18 (12) (2006)
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
Collaborative ordinal regression. ICML (2006)
Kai Yu, Jinbo Bi, Volker Tresp
Active learning via transductive experimental design. ICML (2006)
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. ECML (2006)
Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel
Infinite Hidden Relational Models. UAI (2006)
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu
Supervised probabilistic principal component analysis. KDD (2006)
Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu
Stochastic Relational Models for Discriminative Link Prediction. NIPS (2006)
Kai Yu, Shipeng Yu, Volker Tresp
Multi-Output Regularized Projection. CVPR (2) (2005)
Kai Yu, Volker Tresp, Anton Schwaighofer
Learning Gaussian processes from multiple tasks. ICML (2005)
Kai Yu, Shipeng Yu, Volker Tresp
Dirichlet Enhanced Latent Semantic Analysis. AISTATS (2005)
Shipeng Yu, Kai Yu, Volker Tresp
Soft Clustering on Graphs. NIPS (2005)
Kai Yu, Shipeng Yu, Volker Tresp
Multi-label informed latent semantic indexing. SIGIR (2005)
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel
Hierarchy-Regularized Latent Semantic Indexing. ICDM (2005)
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel
Dirichlet enhanced relational learning. ICML (2005)
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel
A Probabilistic Clustering-Projection Model for Discrete Data. PKDD (2005)
Kai Yu, Volker Tresp, Shipeng Yu
A nonparametric hierarchical bayesian framework for information filtering. SIGIR (2004)
Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-Peter Kriegel
Probabilistic Memory-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 16 (1) (2004)
Anton Schwaighofer, Volker Tresp, Kai Yu
Learning Gaussian Process Kernels via Hierarchical Bayes. NIPS (2004)
Kai Yu, Shipeng Yu, Volker Tresp
Dirichlet Enhanced Latent Semantic Analysis. LWA (2004)
Kai Yu, Volker Tresp
Heterogenous Data Fusion via a Probabilistic Latent-Variable Model. ARCS (2004)
Volker Tresp, Kai Yu
An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning. European Summer School on Multi-AgentControl (2003)
Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel
Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*. Knowl. Inf. Syst. 5 (2) (2003)
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang
Representative Sampling for Text Classification Using Support Vector Machines. ECIR (2003)
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. UAI (2003)
Kai Yu, Wei-Ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, HongJiang Zhang, Hans-Peter Kriegel
Knowing a tree from the forest: art image retrieval using a society of profiles. ACM Multimedia (2003)
Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp
A Hybrid Relevance-Feedback Approach to Text Retrieval. ECIR (2003)
Kai Yu, Xiaowei Xu, Anton Schwaighofer, Volker Tresp, Hans-Peter Kriegel
Removing redundancy and inconsistency in memory-based collaborative filtering. CIKM (2002)
Kai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel
Instance Selection Techniques for Memory-based Collaborative Filtering. SDM (2002)
Kai Yu, Zhong Wen, Xiaowei Xu, Martin Ester
Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address). DEXA Workshop (2001)
Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering. CIKM (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kai Yu