Travelled to:1 × Brazil
1 × Ireland
1 × Israel
1 × Switzerland
2 × China
2 × United Kingdom
6 × USA
Collaborated with:X.Tang J.Yan Z.Chen J.Shen N.Liu M.Wang H.Liu H.Pang B.Zhang W.Ma J.Feng H.Xu T.Yuan P.Cui J.Dai J.T.Kwok Q.Cheng W.Fan Q.Yang W.Meng X.Hua W.Zhang H.Wang T.S.Huang J.Liu Z.Zheng L.Jiang Y.Li J.Tang Y.Shen S.Guo B.Gao M.Zhang F.Bai H.Li W.Xi
Talks about:learn (4) search (3) orthogon (2) robust (2) pilot (2) music (2) model (2) graph (2) adapt (2) ad (2)
Person: Shuicheng Yan
DBLP: Yan:Shuicheng
Contributed to:
2013
20122012
201120102010200920072006
2006200620052004
2004Wrote 15 papers:
- SIGIR-2013-ShenWYC #multi #recommendation
- Multimedia recommendation: technology and techniques (JS, MW, SY, PC), p. 1131.
- ICML-2012-FengXY #approach #robust
- Robust PCA in High-dimension: A Deterministic Approach (JF, HX, SY), p. 237.
- SIGIR-2012-ShenPWY #concept #modelling #music #scalability
- Modeling concept dynamics for large scale music search (JS, HP, MW, SY), pp. 455–464.
- CIKM-2011-TangLYSGGYZ #behaviour #learning #rank
- Learning to rank audience for behavioral targeting in display ads (JT, NL, JY, YS, SG, BG, SY, MZ), pp. 605–610.
- ICML-2010-LiuY #graph #robust
- Robust Graph Mode Seeking by Graph Shift (HL, SY), pp. 671–678.
- SIGIR-2010-ShenMYPH #effectiveness #modelling #music #statistics
- Effective music tagging through advanced statistical modeling (JS, WM, SY, HP, XSH), pp. 635–642.
- SIGIR-2010-YanZJLYC #framework #learning
- A co-learning framework for learning user search intents from rule-generated training data (JY, ZZ, LJ, YL, SY, ZC), pp. 895–896.
- SIGIR-2009-ZhangYYLC #query
- Temporal query substitution for ad search (WZ, JY, SY, NL, ZC), pp. 798–799.
- ICML-2007-WangYHLT
- Transductive regression piloted by inter-manifold relations (HW, SY, TSH, JL, XT), pp. 967–974.
- ICML-2006-DaiYTK #adaptation #classification #nondeterminism
- Locally adaptive classification piloted by uncertainty (JD, SY, XT, JTK), pp. 225–232.
- ICPR-v2-2006-YanT #adaptation #kernel #reduction
- Dimensionality Reduction with Adaptive Kernels (SY, XT), pp. 626–629.
- ICPR-v4-2006-YuanYT #invariant #symmetry
- Perspective Symmetry Invariant and Its Applications (TY, SY, XT), pp. 65–68.
- SIGIR-2005-YanLZYCCFM #categorisation #feature model #named #orthogonal
- OCFS: optimal orthogonal centroid feature selection for text categorization (JY, NL, BZ, SY, ZC, QC, WF, WYM), pp. 122–129.
- CIKM-2004-LiuZYYYCBM #learning #metric #similarity
- Learning similarity measures in non-orthogonal space (NL, BZ, JY, QY, SY, ZC, FB, WYM), pp. 334–341.
- KDD-2004-YanZYYLCXFMC #incremental #named
- IMMC: incremental maximum margin criterion (JY, BZ, SY, QY, HL, ZC, WX, WF, WYM, QC), pp. 725–730.