2009 |
51 | EE | Federico Boccardi,
Kai Yu,
Angeliki Alexiou:
Relay-aided multiple antenna transmissions for wireless backhaul applications.
Bell Labs Technical Journal 13(4): 161-173 (2009) |
2008 |
50 | EE | 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: 69-82 |
49 | EE | Qingquan Wang,
Lili Rong,
Kai Yu:
Visual Knowledge Reasoning on Typed Categorical Structure.
FSKD (4) 2008: 684-688 |
48 | EE | Qingquan Wang,
Lili Rong,
Kai Yu:
Towards a Categorical Matching Method to Process High-Dimensional Emergency Knowledge Structures.
ISNN (2) 2008: 740-747 |
47 | EE | Kai Yu,
Wei Xu,
Yihong Gong:
Deep Learning with Kernel Regularization for Visual Recognition.
NIPS 2008: 1889-1896 |
46 | EE | Shenghuo Zhu,
Kai Yu,
Yihong Gong:
Stochastic Relational Models for Large-scale Dyadic Data using MCMC.
NIPS 2008: 1993-2000 |
45 | EE | Kai Yu,
Jiangqin Wu,
Yueting Zhuang:
Skeleton-Based Recognition of Chinese Calligraphic Character Image.
PCM 2008: 228-237 |
44 | EE | Kai Yu,
Shenghuo Zhu,
Wei Xu,
Yihong Gong:
trNon-greedy active learning for text categorization using convex ansductive experimental design.
SIGIR 2008: 635-642 |
43 | EE | Ding Zhou,
Shenghuo Zhu,
Kai Yu,
Xiaodan Song,
Belle L. Tseng,
Hongyuan Zha,
C. Lee Giles:
Learning multiple graphs for document recommendations.
WWW 2008: 141-150 |
2007 |
42 | EE | Edward C. Lin,
Kai Yu,
Rob A. Rutenbar,
Tsuhan Chen:
A 1000-word vocabulary, speaker-independent, continuous live-mode speech recognizer implemented in a single FPGA.
FPGA 2007: 60-68 |
41 | EE | Mingrui Wu,
Kai Yu,
Shipeng Yu,
Bernhard Schölkopf:
Local learning projections.
ICML 2007: 1039-1046 |
40 | EE | Shipeng Yu,
Volker Tresp,
Kai Yu:
Robust multi-task learning with t-processes.
ICML 2007: 1103-1110 |
39 | EE | Zhao Xu,
Volker Tresp,
Shipeng Yu,
Kai Yu,
Hans-Peter Kriegel:
Fast Inference in Infinite Hidden Relational Models.
MLG 2007 |
38 | EE | Kai Yu,
Wei Chu:
Gaussian Process Models for Link Analysis and Transfer Learning.
NIPS 2007 |
37 | EE | Shenghuo Zhu,
Kai Yu,
Yihong Gong:
Predictive Matrix-Variate t Models.
NIPS 2007 |
36 | EE | Shenghuo Zhu,
Kai Yu,
Yun Chi,
Yihong Gong:
Combining content and link for classification using matrix factorization.
SIGIR 2007: 487-494 |
35 | EE | Kai Yu,
M. J. F. Gales:
Bayesian Adaptive Inference and Adaptive Training.
IEEE Transactions on Audio, Speech & Language Processing 15(6): 1932-1943 (2007) |
2006 |
34 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel:
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.
ECML 2006: 841-848 |
33 | EE | Kai Yu,
Jinbo Bi,
Volker Tresp:
Active learning via transductive experimental design.
ICML 2006: 1081-1088 |
32 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel:
Collaborative ordinal regression.
ICML 2006: 1089-1096 |
31 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel,
Mingrui Wu:
Supervised probabilistic principal component analysis.
KDD 2006: 464-473 |
30 | EE | Kai Yu,
Wei Chu,
Shipeng Yu,
Volker Tresp,
Zhao Xu:
Stochastic Relational Models for Discriminative Link Prediction.
NIPS 2006: 1553-1560 |
29 | EE | Zhao Xu,
Volker Tresp,
Kai Yu,
Hans-Peter Kriegel:
Infinite Hidden Relational Models.
UAI 2006 |
28 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel:
Multi-Output Regularized Feature Projection.
IEEE Trans. Knowl. Data Eng. 18(12): 1600-1613 (2006) |
27 | EE | Kai Yu,
M. J. F. Gales:
Discriminative cluster adaptive training.
IEEE Transactions on Audio, Speech & Language Processing 14(5): 1694-1703 (2006) |
2005 |
26 | EE | Kai Yu,
Shipeng Yu,
Volker Tresp:
Multi-Output Regularized Projection.
CVPR (2) 2005: 597-602 |
25 | EE | Yi Huang,
Kai Yu,
Matthias Schubert,
Shipeng Yu,
Volker Tresp,
Hans-Peter Kriegel:
Hierarchy-Regularized Latent Semantic Indexing.
ICDM 2005: 178-185 |
24 | EE | Zhao Xu,
Volker Tresp,
Kai Yu,
Shipeng Yu,
Hans-Peter Kriegel:
Dirichlet enhanced relational learning.
ICML 2005: 1004-1011 |
23 | EE | Kai Yu,
Volker Tresp,
Anton Schwaighofer:
Learning Gaussian processes from multiple tasks.
ICML 2005: 1012-1019 |
22 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp:
Soft Clustering on Graphs.
NIPS 2005 |
21 | EE | Shipeng Yu,
Kai Yu,
Volker Tresp,
Hans-Peter Kriegel:
A Probabilistic Clustering-Projection Model for Discrete Data.
PKDD 2005: 417-428 |
20 | EE | Kai Yu,
Shipeng Yu,
Volker Tresp:
Multi-label informed latent semantic indexing.
SIGIR 2005: 258-265 |
19 | EE | Rickard Stridh,
Kai Yu,
Björn E. Ottersten,
P. Karlsson:
MIMO channel capacity and modeling issues on a measured indoor radio channel at 5.8 GHz.
IEEE Transactions on Wireless Communications 4(3): 895-903 (2005) |
2004 |
18 | EE | Kai Yu,
Volker Tresp:
Heterogenous Data Fusion via a Probabilistic Latent-Variable Model.
ARCS 2004: 20-30 |
17 | EE | Carsten Stolz,
Vassil Gedov,
Kai Yu,
Ralph Neuneier,
Michal Skubacz:
Measuring Semantic Relations of Web Sites by Clustering of Local Context.
ICWE 2004: 182-186 |
16 | | Kai Yu,
Shipeng Yu,
Volker Tresp:
Dirichlet Enhanced Latent Semantic Analysis.
LWA 2004: 221-226 |
15 | EE | Anton Schwaighofer,
Volker Tresp,
Kai Yu:
Learning Gaussian Process Kernels via Hierarchical Bayes.
NIPS 2004 |
14 | EE | Kai Yu,
Volker Tresp,
Shipeng Yu:
A nonparametric hierarchical bayesian framework for information filtering.
SIGIR 2004: 353-360 |
13 | EE | Kai Yu,
Anton Schwaighofer,
Volker Tresp,
Xiaowei Xu,
Hans-Peter Kriegel:
Probabilistic Memory-Based Collaborative Filtering.
IEEE Trans. Knowl. Data Eng. 16(1): 56-69 (2004) |
2003 |
12 | EE | 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: 622-631 |
11 | EE | Zhao Xu,
Xiaowei Xu,
Kai Yu,
Volker Tresp:
A Hybrid Relevance-Feedback Approach to Text Retrieval.
ECIR 2003: 281-293 |
10 | EE | Zhao Xu,
Kai Yu,
Volker Tresp,
Xiaowei Xu,
Jizhi Wang:
Representative Sampling for Text Classification Using Support Vector Machines.
ECIR 2003: 393-407 |
9 | EE | 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: 290-312 |
8 | | 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: 616-623 |
7 | EE | 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): 201-224 (2003) |
2002 |
6 | EE | Kai Yu,
Xiaowei Xu,
Anton Schwaighofer,
Volker Tresp,
Hans-Peter Kriegel:
Removing redundancy and inconsistency in memory-based collaborative filtering.
CIKM 2002: 52-59 |
5 | EE | Kai Yu,
Xiaowei Xu,
Jianjua Tao,
Martin Ester,
Hans-Peter Kriegel:
Instance Selection Techniques for Memory-based Collaborative Filtering.
SDM 2002 |
4 | | Kai Yu,
Liang Ji,
Xuegong Zhang:
Kernel Nearest Neighbor Algorithm.
Neural Processing Letters 15(2): 147-156 (2002) |
3 | EE | Kai Yu,
Björn E. Ottersten:
Models for MIMO propagation channels: a review.
Wireless Communications and Mobile Computing 2(7): 653-666 (2002) |
2001 |
2 | | Kai Yu,
Xiaowei Xu,
Martin Ester,
Hans-Peter Kriegel:
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering.
CIKM 2001: 239-246 |
1 | | Kai Yu,
Zhong Wen,
Xiaowei Xu,
Martin Ester:
Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address).
DEXA Workshop 2001: 285-290 |