Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering. - Kai Yu 001; Xiaowei Xu 001; Martin Ester; Hans-Peter Kriegel (CIKM, 2001)

Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address). - Kai Yu 001; Zhong Wen; Xiaowei Xu 001; Martin Ester (DEXA Workshop, 2001)

Removing redundancy and inconsistency in memory-based collaborative filtering. - Kai Yu 001; Xiaowei Xu 001; Anton Schwaighofer; Volker Tresp; Hans-Peter Kriegel (CIKM, 2002)

Instance Selection Techniques for Memory-based Collaborative Filtering. - Kai Yu 001; Xiaowei Xu 001; Jianjua Tao; Martin Ester; Hans-Peter Kriegel (SDM, 2002)

A Hybrid Relevance-Feedback Approach to Text Retrieval. - Zhao Xu 001; Xiaowei Xu 001; Kai Yu 001; Volker Tresp (ECIR, 2003)

Representative Sampling for Text Classification Using Support Vector Machines. - Zhao Xu 001; Kai Yu 001; Volker Tresp; Xiaowei Xu 001; Jizhi Wang (ECIR, 2003)

An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning. - Volker Tresp; Kai Yu 001 (European Summer School on Multi-AgentControl, 2003)

Knowing a tree from the forest: art image retrieval using a society of profiles. - Kai Yu 001; Wei-Ying Ma; Volker Tresp; Zhao Xu 001; Xiaofei He 001; HongJiang Zhang; Hans-Peter Kriegel (ACM Multimedia, 2003)

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. - Kai Yu 001; Anton Schwaighofer; Volker Tresp; Wei-Ying Ma; HongJiang Zhang (UAI, 2003)

Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*. - Kai Yu 001; Xiaowei Xu 001; Martin Ester; Hans-Peter Kriegel (Knowl. Inf. Syst., 2003)

Heterogenous Data Fusion via a Probabilistic Latent-Variable Model. - Kai Yu 001; Volker Tresp (ARCS, 2004)

Learning Gaussian Process Kernels via Hierarchical Bayes. - Anton Schwaighofer; Volker Tresp; Kai Yu 001 (NIPS, 2004)

A nonparametric hierarchical bayesian framework for information filtering. - Kai Yu 001; Volker Tresp; Shipeng Yu (SIGIR, 2004)

Probabilistic Memory-Based Collaborative Filtering. - Kai Yu 001; Anton Schwaighofer; Volker Tresp; Xiaowei Xu 001; Hans-Peter Kriegel (IEEE Trans. Knowl. Data Eng., 2004)

Statistical learning approaches to information filtering. - Kai Yu 001 (2004)

Dirichlet Enhanced Latent Semantic Analysis. - Kai Yu 001; Shipeng Yu; Volker Tresp (AISTATS, 2005)

Multi-Output Regularized Projection. - Kai Yu 001; Shipeng Yu; Volker Tresp (CVPR (2), 2005)

Hierarchy-Regularized Latent Semantic Indexing. - Yi Huang 002; Kai Yu 001; Matthias Schubert; Shipeng Yu; Volker Tresp; Hans-Peter Kriegel (ICDM, 2005)

Dirichlet enhanced relational learning. - Zhao Xu 001; Volker Tresp; Kai Yu 001; Shipeng Yu; Hans-Peter Kriegel (ICML, 2005)

Learning Gaussian processes from multiple tasks. - Kai Yu 001; Volker Tresp; Anton Schwaighofer (ICML, 2005)

Soft Clustering on Graphs. - Shipeng Yu; Kai Yu 001; Volker Tresp (NIPS, 2005)

A Probabilistic Clustering-Projection Model for Discrete Data. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel (PKDD, 2005)

Multi-label informed latent semantic indexing. - Kai Yu 001; Shipeng Yu; Volker Tresp (SIGIR, 2005)

Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel (ECML, 2006)

Active learning via transductive experimental design. - Kai Yu 001; Jinbo Bi; Volker Tresp (ICML, 2006)

Collaborative ordinal regression. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel (ICML, 2006)

Supervised probabilistic principal component analysis. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel; Mingrui Wu (KDD, 2006)

Stochastic Relational Models for Discriminative Link Prediction. - Kai Yu 001; Wei Chu; Shipeng Yu; Volker Tresp; Zhao Xu 001 (NIPS, 2006)

Infinite Hidden Relational Models. - Zhao Xu 001; Volker Tresp; Kai Yu 001; Hans-Peter Kriegel (UAI, 2006)

Multi-Output Regularized Feature Projection. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel (IEEE Trans. Knowl. Data Eng., 2006)

Local learning projections. - Mingrui Wu; Kai Yu 001; Shipeng Yu; Bernhard Schölkopf (ICML, 2007)

Robust multi-task learning with t-processes. - Shipeng Yu; Volker Tresp; Kai Yu 001 (ICML, 2007)

Fast Inference in Infinite Hidden Relational Models. - Zhao Xu 001; Volker Tresp; Shipeng Yu; Kai Yu 001; Hans-Peter Kriegel (MLG, 2007)

Gaussian Process Models for Link Analysis and Transfer Learning. - Kai Yu 001; Wei Chu (NIPS, 2007)

Predictive Matrix-Variate t Models. - Shenghuo Zhu; Kai Yu 001; Yihong Gong (NIPS, 2007)

Combining content and link for classification using matrix factorization. - Shenghuo Zhu; Kai Yu 001; Yun Chi; Yihong Gong (SIGIR, 2007)

Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. - Amr Ahmed 001; Kai Yu 001; Wei Xu 007; Yihong Gong; Eric P. Xing (ECCV (3), 2008)

Deep Learning with Kernel Regularization for Visual Recognition. - Kai Yu 001; Wei Xu 007; Yihong Gong (NIPS, 2008)

Stochastic Relational Models for Large-scale Dyadic Data using MCMC. - Shenghuo Zhu; Kai Yu 001; Yihong Gong (NIPS, 2008)

Non-greedy active learning for text categorization using convex transductive experimental design. - Kai Yu 001; Shenghuo Zhu; Wei Xu 007; Yihong Gong (SIGIR, 2008)

Surveillance Event Detection. - Mert Dikmen; Huazhong Ning; Dennis J. Lin; Liangliang Cao; Vuong Le; Shen-Fu Tsai; Kai-Hsiang Lin; Zhen Li 028; Jianchao Yang; Thomas S. Huang; Fengjun Lv; Wei Xu 007; et al. (TRECVID, 2008)

Learning multiple graphs for document recommendations. - Ding Zhou; Shenghuo Zhu; Kai Yu 001; Xiaodan Song; Belle L. Tseng; Hongyuan Zha; C. Lee Giles (WWW, 2008)

Linear spatial pyramid matching using sparse coding for image classification. - Jianchao Yang; Kai Yu 001; Yihong Gong; Thomas S. Huang (CVPR, 2009)

Human action detection by boosting efficient motion features. - Ming Yang 007; Fengjun Lv; Wei Xu 007; Kai Yu 001; Yihong Gong (ICCV Workshops, 2009)

Tutorial summary: Learning with dependencies between several response variables. - Volker Tresp; Kai Yu 001 (ICML, 2009)

Large-scale collaborative prediction using a nonparametric random effects model. - Kai Yu 001; John D. Lafferty; Shenghuo Zhu; Yihong Gong (ICML, 2009)

Detecting video events based on action recognition in complex scenes using spatio-temporal descriptor. - Guangyu Zhu 002; Ming Yang 007; Kai Yu 001; Wei Xu 007; Yihong Gong (ACM Multimedia, 2009)

Nonlinear Learning using Local Coordinate Coding. - Kai Yu 001; Tong Zhang 001; Yihong Gong (NIPS, 2009)

Fast nonparametric matrix factorization for large-scale collaborative filtering. - Kai Yu 001; Shenghuo Zhu; John D. Lafferty; Yihong Gong (SIGIR, 2009)

UCSC at Relevance Feedback Track. - Lanbo Zhang; Jadiel de Arma; Kai Yu 001 (TREC, 2009)

Detecting Human Actions in Surveillance Videos. - Ming Yang 007; Shuiwang Ji; Wei Xu 007; Jinjun Wang; Fengjun Lv; Kai Yu 001; Yihong Gong; Mert Dikmen; Dennis J. Lin; Thomas S. Huang (TRECVID, 2009)

Locality-constrained Linear Coding for image classification. - Jinjun Wang; Jianchao Yang; Kai Yu 001; Fengjun Lv; Thomas S. Huang; Yihong Gong (CVPR, 2010)

Supervised translation-invariant sparse coding. - Jianchao Yang; Kai Yu 001; Thomas S. Huang (CVPR, 2010)

Predicting Facial Beauty without Landmarks. - Douglas Gray 001; Kai Yu 001; Wei Xu 007; Yihong Gong (ECCV (6), 2010)

Efficient Highly Over-Complete Sparse Coding Using a Mixture Model. - Jianchao Yang; Kai Yu 001; Thomas S. Huang (ECCV (5), 2010)

Image Classification Using Super-Vector Coding of Local Image Descriptors. - Xi Zhou; Kai Yu 001; Tong Zhang 001; Thomas S. Huang (ECCV (5), 2010)

Improved Local Coordinate Coding using Local Tangents. - Kai Yu 001; Tong Zhang 001 (ICML, 2010)

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)

Feature Selection for Gene Expression Using Model-Based Entropy. - Shenghuo Zhu; Dingding Wang 001; Kai Yu 001; Tao Li 001; Yihong Gong (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Efficient re-ranking in vocabulary tree based image retrieval. - Xiaoyu Wang 002; Ming Yang 007; Kai Yu 001 (ACSCC, 2011)

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)

Correspondence driven adaptation for human profile recognition. - Ming Yang 007; Shenghuo Zhu; Fengjun Lv; Kai Yu 001 (CVPR, 2011)

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

Contextual weighting for vocabulary tree based image retrieval. - Xiaoyu Wang 002; Ming Yang 007; Timothée Cour; Shenghuo Zhu; Kai Yu 001; Tony X. Han (ICCV, 2011)

Real-time clothing recognition in surveillance videos. - Ming Yang 007; Kai Yu 001 (ICIP, 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)

Query Specific Fusion for Image Retrieval. - Shaoting Zhang 001; Ming Yang 007; Timothée Cour; Kai Yu 001; Dimitris N. Metaxas (ECCV (2), 2012)

Deep Learning of Invariant Features via Simulated Fixations in Video. - Will Y. Zou; Andrew Y. Ng; Shenghuo Zhu; Kai Yu 001 (NIPS, 2012)

Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval - Chang Huang; Shenghuo Zhu; Kai Yu 001 (CoRR, 2012)

Large-scale deep learning at Baidu. - Kai Yu 001 (CIKM, 2013)

High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning. - Krishnakumar Balasubramanian 002; Kai Yu 001; Tong Zhang 001 (UAI, 2013)

3D Convolutional Neural Networks for Human Action Recognition. - Shuiwang Ji; Wei Xu 007; Ming Yang 007; Kai Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? - Andrei Z. Broder; Lada A. Adamic; Michael J. Franklin; Maarten de Rijke; Eric P. Xing; Kai Yu 001 (WSDM, 2015)

Bidirectional LSTM-CRF Models for Sequence Tagging. - Zhiheng Huang; Wei Xu 017; Kai Yu 001 (CoRR, 2015)

Query Specific Rank Fusion for Image Retrieval. - Shaoting Zhang 001; Ming Yang 007; Timothée Cour; Kai Yu 001; Dimitris N. Metaxas (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Smooth sparse coding via marginal regression for learning sparse representations. - Krishnakumar Balasubramanian 002; Kai Yu 001; Guy Lebanon (Artif. Intell., 2016)