Travelled to:1 × Canada
1 × United Kingdom
2 × France
5 × USA
Collaborated with:S.Pande B.Schölkopf M.Zhang L.Chan P.Geiger M.Gong D.Janzing W.Fan O.Verscheure K.Muandet Z.Wang D.Tao J.Peters E.Sgouritsa J.M.Mooij E.Zhong J.Peng J.Ren D.S.Turaga H.Cheng J.Gao X.Yan J.Han P.S.Yu
Talks about:causal (3) nonlinear (2) migrat (2) domain (2) compon (2) applic (2) under (2) minim (2) learn (2) label (2)
Person: Kun Zhang
DBLP: Zhang:Kun
Contributed to:
201520132012
2010200920082007
20062005Wrote 10 papers:
- ICML-2015-GeigerZSGJ #component #identification #process
- Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components (PG, KZ, BS, MG, DJ), pp. 1917–1925.
- ICML-2015-GongZSTG
- Discovering Temporal Causal Relations from Subsampled Data (MG, KZ, BS, DT, PG), pp. 1898–1906.
- ICML-c3-2013-ZhangSMW #adaptation
- Domain Adaptation under Target and Conditional Shift (KZ, BS, KM, ZW), pp. 819–827.
- ICML-2012-ScholkopfJPSZM #learning #on the
- On causal and anticausal learning (BS, DJ, JP, ES, KZ, JMM), p. 63.
- KDD-2010-ZhangZ #dependence #learning #multi
- Multi-label learning by exploiting label dependency (MLZ, KZ), pp. 999–1008.
- KDD-2009-ZhongFPZRTV #adaptation #kernel
- Cross domain distribution adaptation via kernel mapping (EZ, WF, JP, KZ, JR, DST, OV), pp. 1027–1036.
- KDD-2008-FanZCGYHYV #mining #modelling
- Direct mining of discriminative and essential frequent patterns via model-based search tree (WF, KZ, HC, JG, XY, JH, PSY, OV), pp. 230–238.
- ICML-2007-ZhangC #analysis #component #independence
- Nonlinear independent component analysis with minimal nonlinear distortion (KZ, LC), pp. 1127–1134.
- LCTES-2006-ZhangP #mobile
- Minimizing downtime in seamless migrations of mobile applications (KZ, SP), pp. 12–21.
- LCTES-2005-ZhangP #compilation #migration #performance
- Efficient application migration under compiler guidance (KZ, SP), pp. 10–20.