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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
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Journal ArticleDOI
Visible Reverse k-Nearest Neighbor Query Processing in Spatial Databases
TL;DR: This paper proposes an efficient algorithm for VRNN query processing, and extends the solution to several variations of VRNN queries, including visible reverse k-nearest neighbor (VRkNN) search, which finds the points in P that have q as one of their k visible nearest neighbors.
Proceedings ArticleDOI
Multi-rate (111-Gb/s, 2×43-Gb/s, and 8×10.7-Gb/s) transmission at 50-GHz channel spacing over 1040-km field-deployed fiber
T. J. Xia,Glenn A. Wellbrock,Daniel L. Peterson,Wang-Chien Lee,M. Pollock,B. Basch,David Z. Chen,Michael Freiberger,M. S. Alfiad,H. de Waardt,M. Kuschnerov,Berthold Lankl,T. Wuth,E.-D. Schmidt,Bernhard Spinnler,C.-J. Weiske,E. de Man,C. Xie,D. van den Borne,M. Finkenzeller,Stefan Spaelter,R. H. Derksen,M. Rehman,J. Behel,J. Stachowiak,M. Chbat +25 more
TL;DR: In this article, the feasibility of 100G overlaying existing 10G/40G commercial systems is demonstrated, showing that 100G can be achieved over a 50GHz grid over 1,040 km field fiber and two ROADMs.
Journal ArticleDOI
Introduction to Mobile Information Retrieval
TL;DR: The new frontier of mobile information retrieval will combine context awareness and content adaptation, according to a new report from 451 Research.
Journal ArticleDOI
U-Skyline: A New Skyline Query for Uncertain Databases
TL;DR: A new uncertain skyline query, called U-Skyline query, that searches for a set of tuples that has the highest probability (aggregated from all possible scenarios) as the skyline answer, and proposes a number of optimization techniques for query processing.
Journal ArticleDOI
Parallelizing Itinerary-Based KNN Query Processing in Wireless Sensor Networks
TL;DR: A Parallel Concentric-circle Itinerary-based KNN query processing technique that derives different itineraries by optimizing either query latency or energy consumption is proposed and Experimental results show that PCIKNN outperforms the state-of-the-art techniques.