Travelled to:1 × Brazil
1 × France
1 × Israel
1 × Italy
1 × Singapore
1 × Switzerland
1 × Taiwan
1 × The Netherlands
1 × United Kingdom
2 × Canada
2 × Germany
7 × USA
Collaborated with:V.Tresp S.Yu M.Lin H.Kriegel S.Zhu Y.Gong X.Xu X.Zhang J.Wu Z.Xu A.Schwaighofer J.Chen ∅ W.Xu T.Zhang J.D.Lafferty M.Wu K.Balasubramanian G.Lebanon J.Bi Y.Zhuang Z.Zhang B.Shao A.Cassidy H.Zhou A.G.Andreou S.Ji M.Yang B.Schölkopf Y.Chi M.Ester Q.Gao H.Zhang J.Wang
Talks about:learn (8) use (7) collabor (5) regress (5) filter (4) nonparametr (3) process (3) specif (3) design (3) model (3)
Person: Kai Yu
DBLP: Yu:Kai
Contributed to:
2013
2012
2012
2012
2011
201120102009
20092008200720072006
2006200520052004
2003
20022001
20092010Wrote 30 papers:
- ICML-c3-2013-BalasubramanianYL #learning
- Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations (KB, KY, GL), pp. 289–297.
- ASE-2012-YuLCZ #debugging #fault
- Practical isolation of failure-inducing changes for debugging regression faults (KY, ML, JC, XZ), pp. 20–29.
- ICSE-2012-Yu #analysis #identification #using
- Improving failure-inducing changes identification using coverage analysis (KY), pp. 1604–1606.
- ICSE-2012-ZhangLY #debugging #framework
- An integrated bug processing framework (XZ, ML, KY), pp. 1469–1470.
- ICST-2012-ChenLYS #question #testing #user interface #what
- When a GUI Regression Test Failed, What Should be Blamed? (JC, ML, KY, BS), pp. 467–470.
- ICST-2012-YuL #debugging #fault #towards
- Towards Practical Debugging for Regression Faults (KY, ML), pp. 487–490.
- DATE-2011-CassidyYZA #design
- A high-level analytical model for application specific CMP design exploration (AC, KY, HZ, AGA), pp. 1095–1100.
- SAC-2011-YuLGZZ #fault #modelling #multi #using
- Locating faults using multiple spectra-specific models (KY, ML, QG, HZ, XZ), pp. 1404–1410.
- ICML-2010-JiXYY #3d #network #recognition
- 3D Convolutional Neural Networks for Human Action Recognition (SJ, WX, MY, KY), pp. 495–502.
- ICML-2010-YuZ #coordination #using
- Improved Local Coordinate Coding using Local Tangents (KY, TZ), pp. 1215–1222.
- ICML-2009-TrespY #dependence #learning #summary #tutorial
- Tutorial summary: Learning with dependencies between several response variables (VT, KY), p. 14.
- ICML-2009-YuLZG #collaboration #parametricity #predict #random #scalability #using
- Large-scale collaborative prediction using a nonparametric random effects model (KY, JDL, SZ, YG), pp. 1185–1192.
- SIGIR-2009-YuZLG #collaboration #matrix #parametricity #performance #scalability
- Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.
- SIGIR-2008-YuZXG #categorisation #design #learning #using
- trNon-greedy active learning for text categorization using convex ansductive experimental design (KY, SZ, WX, YG), pp. 635–642.
- ICML-2007-WuYYS #learning
- Local learning projections (MW, KY, SY, BS), pp. 1039–1046.
- ICML-2007-YuTY #learning #multi #robust
- Robust multi-task learning with t-processes (SY, VT, KY), pp. 1103–1110.
- SIGIR-2007-ZhuYCG #classification #matrix #using
- Combining content and link for classification using matrix factorization (SZ, KY, YC, YG), pp. 487–494.
- ICML-2006-YuBT #design #learning
- Active learning via transductive experimental design (KY, JB, VT), pp. 1081–1088.
- ICML-2006-YuYTK #collaboration
- Collaborative ordinal regression (SY, KY, VT, HPK), pp. 1089–1096.
- KDD-2006-YuYTKW #analysis #component #probability
- Supervised probabilistic principal component analysis (SY, KY, VT, HPK, MW), pp. 464–473.
- ICML-2005-XuTYYK #learning #relational
- Dirichlet enhanced relational learning (ZX, VT, KY, SY, HPK), pp. 1004–1011.
- ICML-2005-YuTS #learning #multi #process
- Learning Gaussian processes from multiple tasks (KY, VT, AS), pp. 1012–1019.
- SIGIR-2005-YuYT #multi #semantics
- Multi-label informed latent semantic indexing (KY, SY, VT), pp. 258–265.
- SIGIR-2004-YuTY #framework #information management #parametricity
- A nonparametric hierarchical bayesian framework for information filtering (KY, VT, SY), pp. 353–360.
- ECIR-2003-XuXYT #approach #hybrid #retrieval
- A Hybrid Relevance-Feedback Approach to Text Retrieval (ZX, XX, KY, VT), pp. 281–293.
- ECIR-2003-XuYTXW #classification #using
- Representative Sampling for Text Classification Using Support Vector Machines (ZX, KY, VT, XX, JW), pp. 393–407.
- CIKM-2002-YuXSTK #collaboration #consistency #in memory #nondeterminism
- Removing redundancy and inconsistency in memory-based collaborative filtering (KY, XX, AS, VT, HPK), pp. 52–59.
- CIKM-2001-YuXEK #collaboration #performance
- Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering (KY, XX, ME, HPK), pp. 239–246.
- JCDL-2009-YuWZ #library #synthesis
- Style-consistency calligraphy synthesis system in digital library (KY, JW, YZ), pp. 145–152.
- JCDL-2010-ZhangWY
- Chinese calligraphy specific style rendering system (ZZ, JW, KY), pp. 99–108.