Travelled to:1 × Brazil
1 × Finland
1 × Italy
1 × Japan
1 × Singapore
1 × The Netherlands
1 × United Kingdom
2 × USA
Collaborated with:T.Liu H.Li W.Ma X.Geng M.Tsai X.Zhang B.Zhong T.Chin H.Wang S.Kim H.Yu Z.Sun Q.Tao J.Wang C.Wang Y.Wang H.Li Y.Lan Z.Ma H.Yang X.Zheng L.Zhang Y.Bao Z.Cao H.Chen Z.Chen A.Arnold H.Shum D.Wang W.Lai
Talks about:rank (10) learn (4) approach (3) search (3) propag (2) queri (2) web (2) understand (1) constraint (1) hyperplan (1)
Person: Tao Qin
DBLP: Qin:Tao
Contributed to:
2012
2011
2009
20082008
2007200720072005
2017Wrote 13 papers:
- ICPR-2012-QinZCW #learning #online
- Matting-driven online learning of Hough forests for object tracking (TQ, BZ, TJC, HW), pp. 2488–2491.
- CIKM-2011-KimQYL #approach #behaviour
- Advertiser-centric approach to understand user click behavior in sponsored search (SK, TQ, HY, TYL), pp. 2121–2124.
- SIGIR-2009-SunQTW #learning #metric #rank #ranking #robust
- Robust sparse rank learning for non-smooth ranking measures (ZS, TQ, QT, JW), pp. 259–266.
- ICML-2008-LanLQML #learning #rank
- Query-level stability and generalization in learning to rank (YL, TYL, TQ, ZM, HL), pp. 512–519.
- SIGIR-2008-GengLQALS #nearest neighbour #query #ranking #using
- Query dependent ranking using K-nearest neighbor (XG, TYL, TQ, AA, HL, HYS), pp. 115–122.
- ECIR-2007-LiuYZQM #clustering #optimisation #performance #scalability
- Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization (TYL, HYY, XZ, TQ, WYM), pp. 319–330.
- ECIR-2007-ZhangQLBL #rank #web
- N -Step PageRank for Web Search (LZ, TQ, TYL, YB, HL), pp. 653–660.
- ICML-2007-CaoQLTL #approach #learning #rank
- Learning to rank: from pairwise approach to listwise approach (ZC, TQ, TYL, MFT, HL), pp. 129–136.
- SIGIR-2007-GengLQL #feature model #ranking
- Feature selection for ranking (XG, TYL, TQ, HL), pp. 407–414.
- SIGIR-2007-QinZWLLL #multi #ranking
- Ranking with multiple hyperplanes (TQ, XDZ, DSW, TYL, WL, HL), pp. 279–286.
- SIGIR-2007-TsaiLQCM #named #ranking
- FRank: a ranking method with fidelity loss (MFT, TYL, TQ, HHC, WYM), pp. 383–390.
- SIGIR-2005-QinLZCM #case study #web
- A study of relevance propagation for web search (TQ, TYL, XDZ, ZC, WYM), pp. 408–415.
- CASE-2017-WangWQL #constraints #metaprogramming #network #social
- From micro to macro: Propagated constraints in social networks (CW, YW, TQ, HL), pp. 1534–1539.