Travelled to:
1 × Australia
1 × France
1 × Japan
1 × Sweden
1 × United Kingdom
2 × China
6 × USA
Collaborated with:
T.Zhou D.Song M.Fang W.Bian X.Tang J.Wu D.A.Meyer J.Sun C.Faloutsos X.Liu M.Song L.Zhang J.Bu C.Chen C.Xu C.Xu Y.Rui Y.Mu W.Ding Z.Wu J.Cao M.Gong K.Zhang B.Schölkopf P.Geiger H.Liu T.Liu Y.Fu W.Liu S.Ma J.Liu P.Liu Z.Zhu X.You C.L.P.Chen X.Jiang F.You J.Zou S.Wang L.Sun Y.Wang
Talks about:
supervis (3) spars (3) recommend (2) network (2) classif (2) analysi (2) linear (2) hybrid (2) graph (2) semi (2)
Person: Dacheng Tao
DBLP: Tao:Dacheng
Contributed to:
Wrote 17 papers:
- ICML-2015-GongZSTG
- Discovering Temporal Causal Relations from Subsampled Data (MG, KZ, BS, DT, PG), pp. 1898–1906.
- KDD-2015-LiuLWTF #clustering
- Spectral Ensemble Clustering (HL, TL, JW, DT, YF), pp. 715–724.
- KDD-2015-SongMT #network #performance #recommendation
- Efficient Latent Link Recommendation in Signed Networks (DS, DAM, DT), pp. 1105–1114.
- ICML-c2-2014-XuTXR #reduction
- Large-margin Weakly Supervised Dimensionality Reduction (CX, DT, CX, YR), pp. 865–873.
- ICPR-2014-ZhuYCTJYZ #adaptation #classification #hybrid
- A Noise-Robust Adaptive Hybrid Pattern for Texture Classification (ZZ, XY, CLPC, DT, XJ, FY, JZ), pp. 1633–1638.
- KDD-2014-FangT #linear
- Networked bandits with disjoint linear payoffs (MF, DT), pp. 1106–1115.
- KDD-2014-ZhouT #graph #multi
- Multi-task copula by sparse graph regression (TZ, DT), pp. 771–780.
- KDD-2013-Mu0ZT #probability #problem #scalability
- Constrained stochastic gradient descent for large-scale least squares problem (YM, WD, TZ, DT), pp. 883–891.
- ICPR-2012-LiuSZWBCT #bound #detection
- Joint shot boundary detection and key frame extraction (XL, MS, LZ, SW, JB, CC, DT), pp. 2565–2568.
- ICPR-2012-ZhangSSLWTBC #category theory #image #kernel
- Spatial graphlet matching kernel for recognizing aerial image categories (LZ, MS, LS, XL, YW, DT, JB, CC), pp. 2813–2816.
- KDD-2012-WuWCT #detection #hybrid #named #recommendation
- HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation (ZW, JW, JC, DT), pp. 985–993.
- ICML-2011-ZhouT #composition #matrix #named #random
- GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case (TZ, DT), pp. 33–40.
- KDD-2010-LiuMTLL #learning #metric #optimisation #using
- Semi-supervised sparse metric learning using alternating linearization optimization (WL, SM, DT, JL, PL), pp. 1139–1148.
- ICPR-2008-BianT
- Harmonic mean for subspace selection (WB, DT), pp. 1–4.
- ICPR-2008-SongT #classification
- C1 units for scene classification (DS, DT), pp. 1–4.
- KDD-2006-SunTF #analysis #graph
- Beyond streams and graphs: dynamic tensor analysis (JS, DT, CF), pp. 374–383.
- ICPR-v2-2004-TaoT #analysis #feedback #image #parametricity #retrieval
- Nonparametric Discriminant Analysis in Relevance Feedback for Content-Based Image Retrieval (DT, XT), pp. 1013–1016.