Travelled to:1 × Canada
1 × Finland
1 × France
2 × USA
Collaborated with:J.Ye S.Ji B.Ceran R.Patel J.Liu K.Chen T.Wu J.Li E.Reiman
Talks about:formul (2) squar (2) least (2) learn (2) class (2) hypergraph (1) eigenvalu (1) dimension (1) techniqu (1) spectral (1)
Person: Liang Sun
DBLP: Sun:Liang
Contributed to:
2010
2009200920082008Wrote 5 papers:
- KDD-2010-SunCY #approach #reduction #scalability
- A scalable two-stage approach for a class of dimensionality reduction techniques (LS, BC, JY), pp. 313–322.
- ICML-2009-SunJY #machine learning #problem
- A least squares formulation for a class of generalized eigenvalue problems in machine learning (LS, SJ, JY), pp. 977–984.
- KDD-2009-SunPLCWLRY #estimation #mining
- Mining brain region connectivity for alzheimer’s disease study via sparse inverse covariance estimation (LS, RP, JL, KC, TW, JL, ER, JY), pp. 1335–1344.
- ICML-2008-SunJY #analysis #canonical #correlation
- A least squares formulation for canonical correlation analysis (LS, SJ, JY), pp. 1024–1031.
- KDD-2008-SunJY #classification #learning #multi
- Hypergraph spectral learning for multi-label classification (LS, SJ, JY), pp. 668–676.