Deguang Kong is currently a sr. research scientist at Yahoo research, and ever worked in Los Alamos national Lab, NEC research lab and Penn State University as a research intern. His research interests revolve around security and privacy, smart trustworthy system, data science, focusing on smartphone and malware, feature learning and compressive sensing, user engagement understanding and recommendation, etc.. He has published over 30 referred articles in top conferences, including CCS, DSN, ACSAC, INFOCOM, Ubicomp, Sigmetric, DIMVA, Securecomm and ICML, NIPS, AAAI, CVPR, KDD, ICDM, SDM, WSDM, CIKM, ECML/PKDD, etc. He has served as a program committee member in AAAI, IJCAI, KDD, SDM and a reviewer for NIPS, TDSC, TIFS, TPAMI, TKDE, etc.