Kai Yu

发表

3D Convolutional Neural Networks for Human Action Recognition

Ming Yang, Shuiwang Ji, Wei Xu, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The Implementation of Electronic Intelligent Tag System Based on Wireless Sensor Network

Kai Yu, Zhijun Xie, Jiangbo Qian, 2013 .

Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?

Andrei Z. Broder, Maarten de Rijke, Lada A. Adamic, 2015, WSDM.

Image Classification Using Super-Vector Coding of Local Image Descriptors

Thomas S. Huang, Tong Zhang, Xi Zhou, 2010, ECCV.

Predictive Matrix-Variate t Models

Yihong Gong, Shenghuo Zhu, Kai Yu, 2007, NIPS.

Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures

Hans-Peter Kriegel, Volker Tresp, Shipeng Yu, 2006, ECML.

Impact of Channel Estimation Errors on Various Spatial-Temporal Transmission Schemes

A. Alexiou, Kai Yu, 2007, 2007 16th IST Mobile and Wireless Communications Summit.

Multi-label informed latent semantic indexing

Volker Tresp, Shipeng Yu, Kai Yu, 2005, SIGIR '05.

Linear spatial pyramid matching using sparse coding for image classification

Yihong Gong, Thomas S. Huang, Kai Yu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Improved Local Coordinate Coding using Local Tangents

Tong Zhang, Kai Yu, Tong Zhang, 2010, ICML.

Combining content and link for classification using matrix factorization

Yihong Gong, Yun Chi, Shenghuo Zhu, 2007, SIGIR.

Removing redundancy and inconsistency in memory-based collaborative filtering

Hans-Peter Kriegel, Anton Schwaighofer, Xiaowei Xu, 2002, CIKM '02.

A Hybrid Relevance-Feedback Approach to Text Retrieval

Xiaowei Xu, Volker Tresp, Kai Yu, 2003, ECIR.

Feature Selection for Gene Expression Using Model-Based Entropy

Yihong Gong, Shenghuo Zhu, Tao Li, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning

Volker Tresp, Kai Yu, Volker Tresp, 2003, European Summer School on Multi-AgentControl.

Correspondence driven adaptation for human profile recognition

Ming Yang, Shenghuo Zhu, Kai Yu, 2011, CVPR 2011.

Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*

Hans-Peter Kriegel, Martin Ester, Xiaowei Xu, 2003, Knowledge and Information Systems.

Contextual weighting for vocabulary tree based image retrieval

Ming Yang, Shenghuo Zhu, Tony X. Han, 2011, 2011 International Conference on Computer Vision.

Instance Selection Techniques for Memory-based Collaborative Filtering

Hans-Peter Kriegel, Martin Ester, Xiaowei Xu, 2002, SDM.

High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning pdf

Krishnakumar Balasubramanian, Tong Zhang, Kai Yu, 2013, UAI.

Stochastic Relational Models for Large-scale Dyadic Data using MCMC

Yihong Gong, Shenghuo Zhu, Kai Yu, 2008, NIPS.

Hierarchy-regularized latent semantic indexing

Hans-Peter Kriegel, Volker Tresp, Shipeng Yu, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Predicting Facial Beauty without Landmarks

Yihong Gong, Wei Xu, Kai Yu, 2010, ECCV.

Videos Semantic Indexing using Image Classification

Ming Yang, Shenghuo Zhu, Thomas S. Huang, 2010, TRECVID.

Supervised probabilistic principal component analysis

Hans-Peter Kriegel, Volker Tresp, Shipeng Yu, 2006, KDD '06.

Human action detection by boosting efficient motion features

Yihong Gong, Wei Xu, Kai Yu, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Large-scale image classification: Fast feature extraction and SVM training

Ming Yang, Shenghuo Zhu, Thomas S. Huang, 2011, CVPR 2011.

Multi-output regularized projection

Volker Tresp, Shipeng Yu, Kai Yu, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Gaussian Process Models for Link Analysis and Transfer Learning

Wei Chu, Kai Yu, Kai Yu, 2007, NIPS.

Robust multi-task learning with t-processes

Volker Tresp, Shipeng Yu, Kai Yu, 2007, ICML '07.

Learning Gaussian processes from multiple tasks

Anton Schwaighofer, Volker Tresp, Kai Yu, 2005, ICML.

Real-time clothing recognition in surveillance videos

Ming Yang, Kai Yu, Ming Yang, 2011, 2011 18th IEEE International Conference on Image Processing.

Dirichlet enhanced relational learning

Hans-Peter Kriegel, Volker Tresp, Shipeng Yu, 2005, ICML.

Tutorial summary: Learning with dependencies between several response variables

Volker Tresp, Kai Yu, Volker Tresp, 2009, ICML '09.

Query Specific Rank Fusion for Image Retrieval

Ming Yang, Dimitris N. Metaxas, Shaoting Zhang, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Learning of Invariant Features via Simulated Fixations in Video

Shenghuo Zhu, Andrew Y. Ng, Kai Yu, 2012, NIPS.

Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks

Yihong Gong, Eric P. Xing, Amr Ahmed, 2008, ECCV.

Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval pdf

Shenghuo Zhu, Kai Yu, Chang Huang, 2012, ArXiv.

Detecting video events based on action recognition in complex scenes using spatio-temporal descriptor

Ming Yang, Yihong Gong, Guangyu Zhu, 2009, ACM Multimedia.

UCSC at Relevance Feedback Track

Kai Yu, Lanbo Zhang, Jadiel de Arma, 2009, TREC.

Locality-constrained Linear Coding for image classification

Yihong Gong, Thomas S. Huang, Jinjun Wang, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Knowing a tree from the forest: art image retrieval using a society of profiles

Hans-Peter Kriegel, Wei-Ying Ma, Xiaofei He, 2003, MULTIMEDIA '03.

A nonparametric hierarchical bayesian framework for information filtering

Volker Tresp, Shipeng Yu, Kai Yu, 2004, SIGIR '04.

Research data supporting "Multi-Task Joint-Learning of Deep Neural Network for Robust Speech Recognition"

Kai Yu, Yanmin Qian, Maofan Yin, 2015 .

Fast nonparametric matrix factorization for large-scale collaborative filtering

Yihong Gong, Shenghuo Zhu, John D. Lafferty, 2009, SIGIR.

Supervised translation-invariant sparse coding

Thomas S. Huang, Kai Yu, Jianchao Yang, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Bidirectional LSTM-CRF Models for Sequence Tagging pdf

Wei Xu, Kai Yu, Zhiheng Huang, 2015, ArXiv.

Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address)

Martin Ester, Zhong Wen, Xiaowei Xu, 2001, DEXA Workshop.

Nonlinear Learning using Local Coordinate Coding

Yihong Gong, Tong Zhang, Kai Yu, 2009, NIPS.

Efficient re-ranking in vocabulary tree based image retrieval

Ming Yang, Kai Yu, Xiaoyu Wang, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Detecting Human Actions in Surveillance Videos

Ming Yang, Yihong Gong, Thomas S. Huang, 2009, TRECVID.

Fast Inference in Infinite Hidden Relational Models

Hans-Peter Kriegel, Volker Tresp, Shipeng Yu, 2007, MLG.

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

Wei-Ying Ma, Anton Schwaighofer, Volker Tresp, 2002, UAI.

Collaborative ordinal regression

Hans-Peter Kriegel, Volker Tresp, Shipeng Yu, 2006, ICML.

Deep Coding Network

Shenghuo Zhu, Yuanqing Lin, Tong Zhang, 2010, NIPS.

Selecting relevant instances for efficient and accurate collaborative filtering

Hans-Peter Kriegel, Martin Ester, Xiaowei Xu, 2001, CIKM '01.

Multi-Output Regularized Feature Projection

Hans-Peter Kriegel, Volker Tresp, Shipeng Yu, 2006, IEEE Transactions on Knowledge and Data Engineering.

A Probabilistic Clustering-Projection Model for Discrete Data

Hans-Peter Kriegel, Volker Tresp, Shipeng Yu, 2005, PKDD.

Infinite Hidden Relational Models pdf

Hans-Peter Kriegel, Volker Tresp, Kai Yu, 2006, UAI.

Large-scale collaborative prediction using a nonparametric random effects model

Yihong Gong, Shenghuo Zhu, John D. Lafferty, 2009, ICML '09.

Stochastic Relational Models for Discriminative Link Prediction

Wei Chu, Volker Tresp, Shipeng Yu, 2006, NIPS.

Surveillance Event Detection

Ming Yang, Yihong Gong, Zhen Li, 2008, TRECVID.

Dirichlet Enhanced Latent Semantic Analysis

Volker Tresp, Shipeng Yu, Kai Yu, 2005, AISTATS.

Learning multiple graphs for document recommendations

Shenghuo Zhu, Hongyuan Zha, C. Lee Giles, 2008, WWW.

Learning Gaussian Process Kernels via Hierarchical Bayes

Anton Schwaighofer, Volker Tresp, Kai Yu, 2004, NIPS.

ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance

Tieniu Tan, Kaiqi Huang, Kai Yu, 2019, IEEE Transactions on Parallel and Distributed Systems.

Query Specific Fusion for Image Retrieval

Ming Yang, Dimitris N. Metaxas, Shaoting Zhang, 2012, ECCV.

Object-Centric Spatial Pooling for Image Classification

Fei-Fei Li, Yuanqing Lin, Kai Yu, 2012, ECCV.

Soft Clustering on Graphs

Volker Tresp, Shipeng Yu, Kai Yu, 2005, NIPS.

Heterogenous Data Fusion via a Probabilistic Latent-Variable Model

Volker Tresp, Kai Yu, Volker Tresp, 2004, ARCS.

Local learning projections

Bernhard Schölkopf, Shipeng Yu, Kai Yu, 2007, ICML '07.

Ordering-Based Kalman Filter Selective Ensemble for Classification

Kai Yu, Lihong Wang, Yanwei Yu, 2020, IEEE Access.

Deep Learning with Kernel Regularization for Visual Recognition

Yihong Gong, Wei Xu, Kai Yu, 2008, NIPS.

Statistical learning approaches to information filtering

Kai Yu, Kai Yu, 2004 .

Learning image representations from the pixel level via hierarchical sparse coding

John D. Lafferty, Yuanqing Lin, Kai Yu, 2011, CVPR 2011.

trNon-greedy active learning for text categorization using convex ansductive experimental design

Yihong Gong, Shenghuo Zhu, Wei Xu, 2008, SIGIR '08.

Representative Sampling for Text Classification Using Support Vector Machines

Xiaowei Xu, Volker Tresp, Kai Yu, 2003, ECIR.

Multi-component Models for Object Detection

Jitendra Malik, Yuanqing Lin, Kai Yu, 2012, ECCV.

Efficient Highly Over-Complete Sparse Coding Using a Mixture Model

Thomas S. Huang, Kai Yu, Jianchao Yang, 2010, ECCV.

High Dimensional Nonlinear Learning using Local Coordinate Coding

Tong Zhang, Kai Yu, 2009 .