`Travelled to:`

1 × Australia

6 × USA

`Collaborated with:`

F.Chen A.P.Boedihardjo L.Zhao N.Ramakrishnan S.Shekhar P.Zhang T.Hua Q.Sun J.Ye J.Dai B.Wang S.Sahu M.R.Naphade 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) spatial (2) outlier (2) detect (2) event (2) base (2) detectionin (1) framework (1) algorithm (1) supervis (1)

## Person: Chang-Tien Lu

### DBLP: Lu:Chang=Tien

### Contributed to:

### Wrote 7 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.
- KDD-2011-ChenDWSNL #analysis #process
- Activity analysis based on low sample rate smart meters (FC, JD, BW, SS, MRN, CTL), pp. 240–248.
- KDD-2010-ChenLB #approach #detection #named #statistics
- GLS-SOD: a generalized local statistical approach for spatial outlier detection (FC, CTL, APB), pp. 1069–1078.
- CIKM-2008-BoedihardjoLC #data type #framework #probability
- A framework for estimating complex probability density structures in data streams (APB, CTL, FC), pp. 619–628.
- KDD-2001-ShekharLZ #algorithm #detection #graph #summary
- Detecting graph-based spatial outliers: algorithms and applications (a summary of results) (SS, CTL, PZ), pp. 371–376.