2009 | ||
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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 |