Travelled to:
1 × France
1 × Slovenia
3 × USA
Collaborated with:
A.W.Moore P.Vatturi G.F.Cooper M.M.Wagner J.G.Schneider M.A.Riedmiller Y.Chen A.Groce C.Zhang X.Fern E.Eide J.Regehr T.E.Senator H.G.Goldberg A.Memory W.T.Young B.Rees R.Pierce D.Huang M.Reardon D.A.Bader E.Chow I.A.Essa J.Jones V.Bettadapura D.H.Chau O.Green O.Kaya A.Zakrzewska E.Briscoe R.L.M.IV R.McColl L.Weiss T.G.Dietterich A.Fern S.Das A.Emmott J.Irvine J.Y.Lee D.Koutra C.Faloutsos D.D.Corkill L.Friedland A.Gentzel D.Jensen
Talks about:
detect (3) bayesian (2) network (2) distribut (1) structur (1) reinsert (1) outbreak (1) hierarch (1) function (1) categori (1)
Person: Weng-Keen Wong
DBLP: Wong:Weng=Keen
Contributed to:
Wrote 6 papers:
- KDD-2013-SenatorGMYRPHRBCEJBCGKZBMMWDFWDEILKFCFGJ #database #detection #process
- Detecting insider threats in a real corporate database of computer usage activity (TES, HGG, AM, WTY, BR, RP, DH, MR, DAB, EC, IAE, JJ, VB, DHC, OG, OK, AZ, EB, RLMI, RM, LW, TGD, AF, WKW, SD, AE, JI, JYL, DK, CF, DDC, LF, AG, DJ), pp. 1393–1401.
- PLDI-2013-ChenGZWFER #compilation #fuzzing
- Taming compiler fuzzers (YC, AG, CZ, WKW, XF, EE, JR), pp. 197–208.
- KDD-2009-VatturiW #detection #using
- Category detection using hierarchical mean shift (PV, WKW), pp. 847–856.
- ICML-2003-MooreW #learning #network
- Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning (AWM, WKW), pp. 552–559.
- ICML-2003-WongMCW #detection #network
- Bayesian Network Anomaly Pattern Detection for Disease Outbreaks (WKW, AWM, GFC, MMW), pp. 808–815.
- ICML-1999-SchneiderWMR #distributed
- Distributed Value Functions (JGS, WKW, AWM, MAR), pp. 371–378.