Travelled to:1 × China
1 × Switzerland
2 × USA
Collaborated with:O.Chapelle B.L.Tseng W.Cai S.Vadrevu B.Long D.Metlzer P.Grinspan Y.Yue Y.Gao T.Joachims S.Lamkhede P.K.Shivaswamy K.Q.Weinberger Y.Chang Z.Zheng
Talks about:learn (4) rank (4) expect (2) activ (2) framework (1) reciproc (1) varianc (1) statist (1) retriev (1) search (1)
Person: Ya Zhang
DBLP: Zhang:Ya
Contributed to:
2012
2010
20102009Wrote 6 papers:
- CIKM-2012-CaiZ #injection #learning #rank
- Variance maximization via noise injection for active sampling in learning to rank (WC, YZ), pp. 1809–1813.
- KDD-2010-ChapelleSVWZT #learning #multi #ranking #web
- Multi-task learning for boosting with application to web search ranking (OC, PKS, SV, KQW, YZ, BLT), pp. 1189–1198.
- SIGIR-2010-LongCZCZT #learning #optimisation #ranking
- Active learning for ranking through expected loss optimization (BL, OC, YZ, YC, ZZ, BLT), pp. 267–274.
- SIGIR-2010-YueGCZJ #evaluation #learning #retrieval #statistics
- Learning more powerful test statistics for click-based retrieval evaluation (YY, YG, OC, YZ, TJ), pp. 507–514.
- CIKM-2009-ChapelleMZG #rank
- Expected reciprocal rank for graded relevance (OC, DM, YZ, PG), pp. 621–630.
- CIKM-2009-LongLVZT #adaptation #framework
- A risk minimization framework for domain adaptation (BL, SL, SV, YZ, BLT), pp. 1347–1356.