W
Wang-Chien Lee
Researcher at Pennsylvania State University
Publications - 367
Citations - 15328
Wang-Chien Lee is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Wireless sensor network & Mobile computing. The author has an hindex of 60, co-authored 366 publications receiving 14123 citations. Previous affiliations of Wang-Chien Lee include Ohio State University & Verizon Communications.
Papers
More filters
Proceedings Article
Combining Indexing Technique with Path Dictionary for Nested Object Queries
Wang-Chien Lee,Dik Lun Lee +1 more
TL;DR: The operations of the new method, which combines indexing techniques with the path dictionary method, are described and cost modeis is developed for its storage overhead and query and update costs.
Proceedings ArticleDOI
Field trial of 107-Gb/s channel carrying live video traffic over 504 km in-service DWDM route
Glenn A. Wellbrock,T. J. Xia,Wang-Chien Lee,G. Lyons,P. Hofmann,T. Fisk,B. Basch,W. Kluge,J. Gatewood,Peter J. Winzer,G. Raybon,Haoyu Song,Andrew Adamiecki,S. Corteselli,Alan H. Gnauck,D.A. Fishman,T. Kawanishi,K. Higuma,Y. Painchaud +18 more
TL;DR: A 107-Gbps field trial carrying live HDTV traffic over a 504-km in-service DWDM route, proving commercial systems designed for 10G/40G can be upgraded to 100G without impacting existing active channels.
Proceedings ArticleDOI
Optimizing Word2Vec Performance on Multicore Systems
TL;DR: A new optimization called context combining is introduced to further boost SGNS performance on multicore systems and it is shown that this approach is 3.53x faster than the original multithreaded Word2Vec implementation and 1.28x better than a recent parallel Word2 Vec implementation.
Posted Content
Geo-Social Group Queries with Minimum Acquaintance Constraint
TL;DR: Zhang et al. as discussed by the authors proposed a new family of geo-social group queries with minimum acquaintance constraint (GSGQs), which are more appealing than existing geo-Social group queries in terms of producing a cohesive group that guarantees the worst-case acquaintance level.
Proceedings ArticleDOI
Optimizing parallel itineraries for knn query processing in wireless sensor networks
TL;DR: This paper proposes a new itinerary-based KNN query processing technique, called PCIKNN, that derives different itineraries aiming at optimizing two performance criteria, response latency and energy consumption.