Keman Huang
Keman Huang
Researcher, Sloan School, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Category-aware API clustering and distributed recommendation for automatic mashup creation
B Xia, Y Fan, W Tan, K Huang, J Zhang, C Wu
IEEE Transactions on Services Computing 8 (5), 674-687, 2014
1002014
An empirical study of programmable web: A network analysis on a service-mashup system
K Huang, Y Fan, W Tan
2012 ieee 19th international conference on web services, 552-559, 2012
992012
Recommendation in an evolving service ecosystem based on network prediction
K Huang, Y Fan, W Tan
IEEE Transactions on Automation Science and Engineering 11 (3), 906-920, 2014
912014
Systematically understanding the cyber attack business: A survey
K Huang, M Siegel, S Madnick
ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018
662018
Time-aware service recommendation for mashup creation
Y Zhong, Y Fan, K Huang, W Tan, J Zhang
IEEE Transactions on Services Computing 8 (3), 356-368, 2014
662014
A framework for passengers demand prediction and recommendation
K Zhang, Z Feng, S Chen, K Huang, G Wang
2016 IEEE International Conference on Services Computing (SCC), 340-347, 2016
582016
Time-aware service recommendation for mashup creation in an evolving service ecosystem
Y Zhong, Y Fan, K Huang, W Tan, J Zhang
2014 IEEE International Conference on Web Services, 25-32, 2014
502014
An incremental and distributed inference method for large-scale ontologies based on mapreduce paradigm
B Liu, K Huang, J Li, MC Zhou
IEEE transactions on cybernetics 45 (1), 53-64, 2014
462014
Service recommendation in an evolving ecosystem: A link prediction approach
K Huang, Y Fan, W Tan, X Li
2013 IEEE 20th International Conference on Web Services, 507-514, 2013
332013
Mirror, mirror, on the web, which is the most reputable service of them all?
K Huang, J Yao, Y Fan, W Tan, S Nepal, Y Ni, S Chen
International Conference on Service-Oriented Computing, 343-357, 2013
312013
For what technology can’t fix: Building a model of organizational cybersecurity culture
K Huang, K Pearlson
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
242019
Service recommendation for mashup creation based on time-aware collaborative domain regression
B Bai, Y Fan, K Huang, W Tan, B Xia, S Chen
2015 IEEE International Conference on Web Services, 209-216, 2015
202015
A novel equitable trustworthy mechanism for service recommendation in the evolving service ecosystem
K Huang, Y Liu, S Nepal, Y Fan, S Chen, W Tan
International Conference on Service-Oriented Computing, 510-517, 2014
192014
BSNet: a network‐based framework for service‐oriented business ecosystem management
K Huang, Y Fan, W Tan, M Qian
Concurrency and Computation: Practice and Experience 25 (13), 1861-1878, 2013
182013
Accurate identification of ontology alignments at different granularity levels
X Hu, Z Feng, S Chen, K Huang, J Li, M Zhou
IEEE Access 5, 105-120, 2016
172016
Human-as-a-service: Growth in human service ecosystem
K Huang, J Yao, J Zhang, Z Feng
2016 IEEE International Conference on Services Computing (SCC), 90-97, 2016
172016
NCSR: Negative-connection-aware service recommendation for large sparse service network
Y Ni, Y Fan, W Tan, K Huang, J Bi
IEEE Transactions on Automation Science and Engineering 13 (2), 579-590, 2015
172015
A software defined network-based security assessment framework for cloudIoT
Z Han, X Li, K Huang, Z Feng
IEEE Internet of Things Journal 5 (3), 1424-1434, 2018
152018
Shifting to mobile: Network-based empirical study of mobile vulnerability market
K Huang, J Zhang, W Tan, Z Feng
IEEE Transactions on Services Computing 13 (1), 144-157, 2016
142016
Diversity or concentration? Hackers’ strategy for working across multiple bug bounty programs
K Huang, M Siegel, S Madnick, X Li, Z Feng
Proc. IEEE Symp. Secur. Privacy, 1-2, 2016
132016
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