Travelled to:
1 × Australia
1 × China
2 × USA
2 × United Kingdom
Collaborated with:
∅ L.S.Davis F.Chen C.Lu N.Ramakrishnan T.Deng L.Feng W.Xue T.Hua Q.Sun J.Ye P.Butler S.Muthiah N.Self R.P.Khandpur P.Saraf W.Wang J.Cadena A.Vullikanti G.Korkmaz C.J.Kuhlman A.Marathe B.Huang A.Srinivasan K.Trinh L.Getoor G.Katz A.Doyle C.Ackermann I.Zavorin J.Ford K.M.Summers Y.Fayed J.Arredondo D.Gupta D.Mares
Talks about:
forecast (2) approach (2) event (2) detectionin (1) discrimin (1) supervis (1) interest (1) twitter (1) testabl (1) softwar (1)
Person: Liang Zhao
DBLP: Zhao:Liang
Contributed to:
Wrote 6 papers:
- KDD-2015-ZhaoSYCLR #learning #multi
- Multi-Task Learning for Spatio-Temporal Event Forecasting (LZ, QS, JY, FC, CTL, NR), pp. 1503–1512.
- KDD-2014-RamakrishnanBMSKSWCVKKMZHCLHSTGKDAZFSFAGM #open source #using
- “Beating the news” with EMBERS: forecasting civil unrest using open source indicators (NR, PB, SM, NS, RPK, PS, WW, JC, AV, GK, CJK, AM, LZ, TH, FC, CTL, BH, AS, KT, LG, GK, AD, CA, IZ, JF, KMS, YF, JA, DG, DM), pp. 1799–1808.
- KDD-2013-HuaCZLR #detection #named #twitter
- STED: semi-supervised targeted-interest event detectionin in twitter (TH, FC, LZ, CTL, NR), pp. 1466–1469.
- CIKM-2011-DengZFX #approach #in memory #memory management
- Information re-finding by context: a brain memory inspired approach (TD, LZ, LF, WX), pp. 1553–1558.
- ICSE-2006-Zhao #analysis #approach #testing
- A new approach for software testability analysis (LZ), pp. 985–988.
- ICPR-v1-2004-ZhaoD
- Iterative Figure-Ground Discrimination (LZ, LSD), pp. 67–70.