Travelled to:1 × United Kingdom
2 × China
2 × France
3 × USA
Collaborated with:J.Han J.Zhou R.Zhu X.Yu J.Liu Z.Li X.Ren U.Khandelwal C.C.Aggarwal L.A.Tang A.Leung T.F.L.Porta L.Wang Y.Sun B.Sturt B.Norick
Talks about:network (3) cluster (3) select (3) recommend (2) toward (2) inform (2) featur (2) sampl (2) untrustworthi (1) trajectori (1)
Person: Quanquan Gu
DBLP: Gu:Quanquan
Contributed to:
2015
20142013
2013
201120092009
2008Wrote 10 papers:
- ICML-2015-ZhuG #complexity #robust #towards
- Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing (RZ, QG), pp. 739–747.
- KDD-2014-RenLYKGWH #clustering #effectiveness #named #recommendation
- ClusCite: effective citation recommendation by information network-based clustering (XR, JL, XY, UK, QG, LW, JH), pp. 821–830.
- KDD-2013-GuALH #classification #graph
- Selective sampling on graphs for classification (QG, CCA, JL, JH), pp. 131–139.
- KDD-2013-TangYGHLP #cyber-physical #mining
- Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system (LAT, XY, QG, JH, AL, TFLP), pp. 410–418.
- RecSys-2013-YuRSSKGNH #feedback #network #recommendation
- Recommendation in heterogeneous information networks with implicit user feedback (XY, XR, YS, BS, UK, QG, BN, JH), pp. 347–350.
- CIKM-2011-GuH #feature model #network #towards
- Towards feature selection in network (QG, JH), pp. 1175–1184.
- CIKM-2011-GuLH #correlation #feature model #multi
- Correlated multi-label feature selection (QG, ZL, JH), pp. 1087–1096.
- CIKM-2009-GuZ #clustering
- Subspace maximum margin clustering (QG, JZ), pp. 1337–1346.
- KDD-2009-GuZ #clustering
- Co-clustering on manifolds (QG, JZ), pp. 359–368.
- ICPR-2008-GuZ #metric #similarity
- A similarity measure under Log-Euclidean metric for stereo matching (QG, JZ), pp. 1–4.