Travelled to:
1 × Australia
1 × United Kingdom
2 × France
3 × China
6 × USA
Collaborated with:
W.Chen K.Q.Weinberger M.Chen L.Tu Y.Mao S.Padmanabhan R.D.Chamberlain Z.Cui Y.He B.Guo J.Sun X.Ni M.R.Brent A.E.Tenney V.Rus X.Nan S.G.Shiva J.T.Wilson S.Tyree G.Dong J.Han B.W.Wah J.Wang C.Lu M.Kollef T.C.Bailey
Talks about:
stream (3) optim (3) time (3) data (3) decomposit (2) regress (2) densiti (2) cluster (2) classif (2) random (2)
Person: Yixin Chen
DBLP: Chen:Yixin
Contributed to:
Wrote 13 papers:
- ICML-2015-ChenWTWC #network
- Compressing Neural Networks with the Hashing Trick (WC, JTW, ST, KQW, YC), pp. 2285–2294.
- KDD-2015-CuiCHC #random
- Optimal Action Extraction for Random Forests and Boosted Trees (ZC, WC, YH, YC), pp. 179–188.
- KDD-2014-ChenCW #classification #performance #scalability
- Fast flux discriminant for large-scale sparse nonlinear classification (WC, YC, KQW), pp. 621–630.
- ICML-c1-2013-ChenWC
- Maximum Variance Correction with Application to A* Search (WC, KQW, YC), pp. 302–310.
- KDD-2013-ChenCMG
- Density-based logistic regression (WC, YC, YM, BG), pp. 140–148.
- PPoPP-2013-PadmanabhanCC #composition #streaming
- Decomposition techniques for optimal design-space exploration of streaming applications (SP, YC, RDC), pp. 285–286.
- KDD-2012-MaoCCLKB #approach #data mining #mining #monitoring #realtime
- An integrated data mining approach to real-time clinical monitoring and deterioration warning (YM, WC, YC, CL, MK, TCB), pp. 1140–1148.
- CIKM-2011-ChenSNC #adaptation #classification #query #self
- Improving context-aware query classification via adaptive self-training (MC, JTS, XN, YC), pp. 115–124.
- ICML-2011-ChenWC #automation #composition
- Automatic Feature Decomposition for Single View Co-training (MC, KQW, YC), pp. 953–960.
- KDD-2009-ChenCBT #learning #optimisation #random
- Constrained optimization for validation-guided conditional random field learning (MC, YC, MRB, AET), pp. 189–198.
- SEKE-2009-RusNSC #algorithm #clustering #fault #graph #using
- Clustering of Defect Reports Using Graph Partitioning Algorithms (VR, XN, SGS, YC), pp. 442–445.
- KDD-2007-ChenT #clustering #realtime
- Density-based clustering for real-time stream data (YC, LT), pp. 133–142.
- VLDB-2002-ChenHWW #analysis #data type #multi
- Multi-Dimensional Regression Analysis of Time-Series Data Streams (YC, GD, JH, BWW, JW), pp. 323–334.