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My ICASSP 2019 Schedule

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BD-P2: Big Data Processing over Graphs

Session Type: Poster
Time: Thursday, May 16, 13:00 - 15:00
Location: Poster Area C, Ground Floor
Session Chair: Yue Lu, Harvard University
 
  BD-P2.1: ROBUST GRAPH SIGNAL SAMPLING
         Basak Guler; University of Southern California
         Ajinkya Jayawant; University of Southern California
         A. Salman Avestimehr; University of Southern California
         Antonio Ortega; University of Southern California
 
  BD-P2.2: A WINDOWED DIGRAPH FOURIER TRANSFORM
         Rasoul Shafipour; University of Rochester
         Ali Khodabakhsh; University of Texas at Austin
         Gonzalo Mateos; University of Rochester
 
  BD-P2.3: NODE-ASYNCHRONOUS IMPLEMENTATION OF RATIONAL FILTERS ON GRAPHS
         Oguzhan Teke; California Institute of Technology
         P. P. Vaidyanathan; California Institute of Technology
 
  BD-P2.4: MATRIX COMPLETION WITH VARIATIONAL GRAPH AUTOENCODERS: APPLICATION IN HYPERLOCAL AIR QUALITY INFERENCE
         Tien Huu Do; Vrije Universiteit Brussel
         Duc Minh Nguyen; Vrije Universiteit Brussel
         Evaggelia Tsiligianni; Vrije Universiteit Brussel
         Angel Lopez Aguirre; Ghent University
         Valerio Panzica La Manna; imec
         Frank Pasveer; imec
         Wilfried Philips; Ghent University
         Nikos Deligiannis; Vrije Universiteit Brussel
 
  BD-P2.5: INCORPORATE USER REPRESENTATION FOR PERSONAL QUESTION ANSWER SELECTION USING SIAMESE NETWORK
         Zihao Qi; Center for AI Research (CAiRE)
         Dario Bertero; Center for AI Research (CAiRE)
         Ian Wood; Center for AI Research (CAiRE)
         Pascale Fung; Center for AI Research (CAiRE)
 
  BD-P2.6: DEEP TEMPORAL LOGISTIC BAG-OF-FEATURES FOR FORECASTING HIGH FREQUENCY LIMIT ORDER BOOK TIME SERIES
         Nikolaos Passalis; Aristotle University of Thessaloniki
         Anastasios Tefas; Aristotle University of Thessaloniki
         Juho Kanniainen; Tampere University of Technology
         Moncef Gabbouj; Tampere University of Technology
         Alexandros Iosifidis; Aarhus University
 
  BD-P2.7: LONG TEXT ANALYSIS USING SLICED RECURRENT NEURAL NETWORKS WITH BREAKING POINT INFORMATION ENRICHMENT
         Bo Li; Hebei University of Technology
         Zehua Cheng; Hebei University of Technology
         Zhenghua Xu; Hebei University of Technology
         Wei Ye; Peking University
         Thomas Lukasiewicz; University of Oxford
         Shikun Zhang; Peking University
 
  BD-P2.8: CROWNN: HUMAN-IN-THE-LOOP NETWORK WITH CROWD-GENERATED INPUTS
         Yusuke Sakata; Kyoto University
         Yukino Baba; University of Tsukuba
         Hisashi Kashima; Kyoto University / RIKEN Center for AIP
 
  BD-P2.9: ATTENTION-BASED GRAPH CONVOLUTIONAL NETWORK FOR RECOMMENDATION SYSTEM
         Chenyuan Feng; Singapore University of Technology and Design
         Zuozhu Liu; Singapore University of Technology and Design
         Shaowei Lin; Singapore University of Technology and Design
         Tony Q.S. Quek; Singapore University of Technology and Design