Kai Yu

	2009
58		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: 165-174
57		Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong: Large-scale collaborative prediction using a nonparametric random effects model. ICML 2009: 149
56		Volker Tresp, Kai Yu: Tutorial summary: Learning with dependencies between several response variables. ICML 2009: 174
55		Kai Yu, Jiangqin Wu, Yueting Zhuang: Style-consistency calligraphy synthesis system in digital library. JCDL 2009: 145-152
54		Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gong: Fast nonparametric matrix factorization for large-scale collaborative filtering. SIGIR 2009: 211-218
53		Federico Boccardi, Kai Yu, Angeliki Alexiou: Relay-aided multiple antenna transmissions for wireless backhaul applications. Bell Labs Technical Journal 13(4): 161-173 (2009)
52		Kai Yu, M. J. F. Gales, Philip C. Woodland: Unsupervised Adaptation With Discriminative Mapping Transforms. IEEE Transactions on Audio, Speech & Language Processing 17(4): 714-723 (2009)
	2008
51		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
50		Qingquan Wang, Lili Rong, Kai Yu: Visual Knowledge Reasoning on Typed Categorical Structure. FSKD (4) 2008: 684-688
49		Qingquan Wang, Lili Rong, Kai Yu: Towards a Categorical Matching Method to Process High-Dimensional Emergency Knowledge Structures. ISNN (2) 2008: 740-747
48		Kai Yu, Wei Xu, Yihong Gong: Deep Learning with Kernel Regularization for Visual Recognition. NIPS 2008: 1889-1896
47		Shenghuo Zhu, Kai Yu, Yihong Gong: Stochastic Relational Models for Large-scale Dyadic Data using MCMC. NIPS 2008: 1993-2000
46		Kai Yu, Jiangqin Wu, Yueting Zhuang: Skeleton-Based Recognition of Chinese Calligraphic Character Image. PCM 2008: 228-237
45		Angeliki Alexiou, Kai Yu, Federico Boccardi: Combining MIMO and relaying gains for highly efficient wireless backhaul. PIMRC 2008: 1-5
44		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		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		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		Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf: Local learning projections. ICML 2007: 1039-1046
40		Shipeng Yu, Volker Tresp, Kai Yu: Robust multi-task learning with t-processes. ICML 2007: 1103-1110
39		Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel: Fast Inference in Infinite Hidden Relational Models. MLG 2007
38		Kai Yu, Wei Chu: Gaussian Process Models for Link Analysis and Transfer Learning. NIPS 2007
37		Shenghuo Zhu, Kai Yu, Yihong Gong: Predictive Matrix-Variate t Models. NIPS 2007
36		Shenghuo Zhu, Kai Yu, Yun Chi, Yihong Gong: Combining content and link for classification using matrix factorization. SIGIR 2007: 487-494
35		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		Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel: Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. ECML 2006: 841-848
33		Kai Yu, Jinbo Bi, Volker Tresp: Active learning via transductive experimental design. ICML 2006: 1081-1088
32		Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel: Collaborative ordinal regression. ICML 2006: 1089-1096
31		Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu: Supervised probabilistic principal component analysis. KDD 2006: 464-473
30		Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu: Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560
29		Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel: Infinite Hidden Relational Models. UAI 2006
28		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		Kai Yu, M. J. F. Gales: Discriminative cluster adaptive training. IEEE Transactions on Audio, Speech & Language Processing 14(5): 1694-1703 (2006)
	2005
26		Kai Yu, Shipeng Yu, Volker Tresp: Multi-Output Regularized Projection. CVPR (2) 2005: 597-602
25		Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel: Hierarchy-Regularized Latent Semantic Indexing. ICDM 2005: 178-185
24		Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel: Dirichlet enhanced relational learning. ICML 2005: 1004-1011
23		Kai Yu, Volker Tresp, Anton Schwaighofer: Learning Gaussian processes from multiple tasks. ICML 2005: 1012-1019
22		Shipeng Yu, Kai Yu, Volker Tresp: Soft Clustering on Graphs. NIPS 2005
21		Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel: A Probabilistic Clustering-Projection Model for Discrete Data. PKDD 2005: 417-428
20		Kai Yu, Shipeng Yu, Volker Tresp: Multi-label informed latent semantic indexing. SIGIR 2005: 258-265
19		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		Kai Yu, Volker Tresp: Heterogenous Data Fusion via a Probabilistic Latent-Variable Model. ARCS 2004: 20-30
17		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		Anton Schwaighofer, Volker Tresp, Kai Yu: Learning Gaussian Process Kernels via Hierarchical Bayes. NIPS 2004
14		Kai Yu, Volker Tresp, Shipeng Yu: A nonparametric hierarchical bayesian framework for information filtering. SIGIR 2004: 353-360
13		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		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		Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp: A Hybrid Relevance-Feedback Approach to Text Retrieval. ECIR 2003: 281-293
10		Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang: Representative Sampling for Text Classification Using Support Vector Machines. ECIR 2003: 393-407
9		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		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		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		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		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

Coauthor Index

1	Amr Ahmed	[51]
2	Angeliki Alexiou	[45] [53]
3	Jinbo Bi	[33]
4	Federico Boccardi	[45] [53]
5	Tsuhan Chen	[42]
6	Yun Chi	[36]
7	Wei Chu	[30] [38]
8	Martin Ester	[1] [2] [5] [7]
9	Mark J. F. Gales (M. J. F. Gales)	[27] [35] [52]
10	Vassil Gedov	[17]
11	C. Lee Giles (Clyde Lee Giles)	[43]
12	Yihong Gong	[36] [37] [44] [47] [48] [51] [54] [57] [58]
13	Xiaofei He	[12]
14	Yi Huang	[25]
15	Liang Ji	[4]
16	P. Karlsson	[19]
17	Hans-Peter Kriegel	[2] [5] [6] [7] [12] [13] [21] [24] [25] [28] [29] [31] [32] [34] [39]
18	John D. Lafferty	[54] [57]
19	Edward C. Lin	[42]
20	Wei-Ying Ma	[8] [12]
21	Ralph Neuneier	[17]
22	Björn E. Ottersten	[3] [19]
23	Lili Rong	[49] [50]
24	Rob A. Rutenbar	[42]
25	Bernhard Schölkopf	[41]
26	Matthias Schubert	[25]
27	Anton Schwaighofer	[6] [8] [13] [15] [23]
28	Michal Skubacz	[17]
29	Xiaodan Song	[43]
30	Carsten Stolz	[17]
31	Rickard Stridh	[19]
32	Jianjua Tao	[5]
33	Volker Tresp	[6] [8] [9] [10] [11] [12] [13] [14] [15] [16] [18] [20] [21] [22] [23] [24] [25] [26] [28] [29] [30] [31] [32] [33] [34] [39] [40] [56]
34	Belle L. Tseng	[43]
35	Jizhi Wang	[10]
36	Qingquan Wang	[49] [50]
37	Zhong Wen	[1]
38	Philip C. Woodland	[52]
39	Jiangqin Wu	[46] [55]
40	Mingrui Wu	[31] [41]
41	Eric P. Xing	[51]
42	Wei Xu	[44] [48] [51] [58]
43	Xiaowei Xu	[1] [2] [5] [6] [7] [10] [11] [13]
44	Zhao Xu	[10] [11] [12] [24] [29] [30] [39]
45	Ming Yang	[58]
46	Shipeng Yu	[14] [16] [20] [21] [22] [24] [25] [26] [28] [30] [31] [32] [34] [39] [40] [41]
47	Hongyuan Zha	[43]
48	HongJiang Zhang (Hong-Jiang Zhang)	[8] [12]
49	Xuegong Zhang	[4]
50	Ding Zhou	[43]
51	Guangyu Zhu	[58]
52	Shenghuo Zhu	[36] [37] [43] [44] [47] [54] [57]
53	Yueting Zhuang	[46] [55]

Colors in the list of coauthors