Travelled to:1 × France
1 × Germany
3 × China
5 × USA
Collaborated with:C.J.C.Burges N.B.Shah Y.Peres X.Chen Q.Lin L.Xiao M.Wu Y.Song L.He Q.Mei K.W.Church J.Huang B.Schölkopf Q.Liu J.C.Platt C.Meek D.Shen Y.Li X.Li Y.Chi X.Song K.Hino B.L.Tseng
Talks about:queri (3) crowdsourc (2) spectral (2) suggest (2) cluster (2) classif (2) learn (2) label (2) evolutionari (1) transduct (1)
Person: Dengyong Zhou
DBLP: Zhou:Dengyong
Contributed to:
2015201420132011
2011
200920082007
20072005Wrote 10 papers:
- ICML-2015-ShahZP #crowdsourcing
- Approval Voting and Incentives in Crowdsourcing (NBS, DZ, YP), pp. 10–19.
- ICML-c2-2014-ZhouLPM
- Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy (DZ, QL, JCP, CM), pp. 262–270.
- ICML-c3-2013-ChenLZ #crowdsourcing #policy
- Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing (XC, QL, DZ), pp. 64–72.
- ICML-2011-XiaoZW #classification #orthogonal
- Hierarchical Classification via Orthogonal Transfer (LX, DZ, MW), pp. 801–808.
- SIGIR-2011-SongZH #query
- Post-ranking query suggestion by diversifying search results (YS, DZ, LwH), pp. 815–824.
- CIKM-2009-ShenLLZ #classification #query
- Product query classification (DS, YL, XL, DZ), pp. 741–750.
- CIKM-2008-MeiZC #query #using
- Query suggestion using hitting time (QM, DZ, KWC), pp. 469–478.
- ICML-2007-ZhouB #clustering #learning #multi
- Spectral clustering and transductive learning with multiple views (DZ, CJCB), pp. 1159–1166.
- KDD-2007-ChiSZHT #clustering
- Evolutionary spectral clustering by incorporating temporal smoothness (YC, XS, DZ, KH, BLT), pp. 153–162.
- ICML-2005-ZhouHS #graph #learning
- Learning from labeled and unlabeled data on a directed graph (DZ, JH, BS), pp. 1036–1043.