Travelled to:1 × Canada
1 × Chile
1 × USA
1 × United Kingdom
2 × China
Collaborated with:J.Ma B.J.Gao Y.Yin J.Sun X.Xi Q.He J.Liu Z.Ren Y.Liu K.Wang H.W.Lauw C.Cui S.Gao T.Lian S.Wang G.Cao S.Huang T.Liu Z.Chen J.Veijalainen
Talks about:learn (6) rank (5) base (5) evolutionari (2) algorithm (2) collabor (2) program (2) propag (2) filter (2) recommend (1)
Person: Shuaiqiang Wang
DBLP: Wang:Shuaiqiang
Contributed to:
2015
20122011201120102009Wrote 10 papers:
- SIGIR-2015-HuangWLMCV #collaboration
- Listwise Collaborative Filtering (SH, SW, TYL, JM, ZC, JV), pp. 343–352.
- CIKM-2012-CuiMWGL #image #keyword #semantics
- Semantically coherent image annotation with a learning-based keyword propagation strategy (CC, JM, SW, SG, TL), pp. 2423–2426.
- CIKM-2012-SunWGM #hybrid #learning #rank #recommendation
- Learning to rank for hybrid recommendation (JS, SW, BJG, JM), pp. 2239–2242.
- CIKM-2012-WangGWCY #algorithm #evolution #framework #novel
- Polygene-based evolution: a novel framework for evolutionary algorithms (SW, BJG, SW, GC, YY), pp. 2263–2266.
- CIKM-2012-WangSGM #adaptation #collaboration
- Adapting vector space model to ranking-based collaborative filtering (SW, JS, BJG, JM), pp. 1487–1491.
- CIKM-2012-WangXY #learning
- Importance weighted passive learning (SW, XX, YY), pp. 2243–2246.
- CIKM-2011-RenMWL #process #thread #topic #web
- Summarizing web forum threads based on a latent topic propagation process (ZR, JM, SW, YL), pp. 879–884.
- SIGIR-2011-WangGWL #information retrieval #learning #parallel #rank
- Parallel learning to rank for information retrieval (SW, BJG, KW, HWL), pp. 1083–1084.
- CIKM-2010-HeMW #algorithm #evaluation #learning #metric #optimisation #rank
- Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm (QH, JM, SW), pp. 1449–1452.
- CIKM-2009-WangML #learning #programming #question #rank #search-based #using
- Learning to rank using evolutionary computation: immune programming or genetic programming? (SW, JM, JL), pp. 1879–1882.