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Zhao, N., Topological design and dimensioning of Agile All-Photonic Networks, , Montreal, QC, Canada, Department of Electrical and Computer Engineering, McGill University, Oct 2005.  Download: zhao_Thesis05.pdf (997.7 KB)
Zhao, N., A. Vinokurov, and L. G. Mason, "Design of a survivable metropolitan Agile All-Photonic Network", 4th International Conference on Optical Communications and Networks, Bangkok, Thailand, 12/2005. Abstract  Download: PDF (276.62 KB)
Zhao, N., A. Vinokurov, and L. G. Mason, "Traffic modeling for Agile All-Photonic Network dimensioning", in Proc. Int. Conf. on Information Networking (ICOIN),, Chiang Mai, Thailand, 01/2009.  Download: 04897309.pdf (1.86 MB)
Zhao, L., J. Wang, Y. Li, and M. J. Coates, "Gaussian particle flow implementation of PHD filter", Proc. SPIE Conf. Signal Proc., Sensor Fusion, Target Recog., 04/2016.  Download: Gaussian_particle_flow_implementation_of_PHD_filter.pdf (556.36 KB)
Zhang, Y., and M. G. Rabbat, "A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, IEEE, 04/2018. Abstract  Download: A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION.pdf (470.2 KB)
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Yu, J. Y., M. J. Coates, and M. G. Rabbat, "Distributed multi-sensor CPHD filter using pairwise gossiping", IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 03/2016.  Download: Distributed multi-sensor CPHD filter using pairwise gossiping.pdf (123.09 KB)
Yu, J. Y., M. G. Rabbat, M. J. Coates, and S. Blouin, "Performance Investigation on Constraint Sufficient Statistics Distributed Particle Filter", Canadian Conference on Electrical and Computer Engineering, Halifax, NS, Canada, 05/2015.  Download: Performance investigation on constraint sufficient statistics distributed particle filter.pdf (275.34 KB)
Yu, J. Y., A. - A. Saucan, M. Coates, and M. Rabbat, "Algorithms for the multi-sensor assignment problem in the δ-generalized labeled multi-Bernoulli filter", IEEE 7th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process., Curacao, Dutch Antilles, IEEE, Accepted, 2017.  Download: CAMSAP 2017 - Algorithms for the multi-sensor assignment problem in the delta-generalized labeled multi-Bernoulli filter- Camera Ready.pdf (257.92 KB)
Yu, J. Y., M. J. Coates, M. G. Rabbat, and S. Blouin, "A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces", IEEE Signal Processing Letters, vol. 23, Montreal, McGill University, 03/2016.  Download: A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces.pdf (322.21 KB)
Yu, J. Y., A. - A. Saucan, M. Coates, and M. Rabbat, "Multi-sensor data assignment algorithms in the delta-generalized labeled multi-Bernoulli filter", IEEE Trans. Signal Proc., Submitted.  Download: Multi-sensor data assignment algorithms in the delta-generalized labeled multi-Bernoulli filter.pdf (389.52 KB)
Yu, J. Y., D. Ustebay, B. Stephane, M. G. Rabbat, and M. J. Coates, "Distributed underwater acoustic source localization and tracking", Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, IEEE, 11/2013, 2014.  Download: Distributed underwater acoustic source localization and tracking.pdf (191.94 KB)
Yu, J. Y., M. J. Coates, and M. G. Rabbat, "Graph-Based Compression for Particle Filters", IEEE Trans. Signal Inf. Process. Netw. , Submitted.  Download: Graph-Based Compression for Distributed Particle Filters.pdf (416.04 KB)
Yu, J. Y., and M. G. Rabbat, "Performance comparison of randomized gossip, broadcast gossip and collection tree protocol for distributed averaging", IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing , St. Martin, IEEE, 12/2013.  Download: Performance comparison of randomized gossip, broadcast gossip and collection tree protocol for distributed averaging.pdf (324.04 KB)
Yao, Z., V. Gripon, and M. G. Rabbat, Improving Sparse Associative Memories by Escaping from Bogus Fixed Points, , 2013.
Yao, Z., V. Gripon, and M. G. Rabbat, A Massively Parallel Associative Memory Based on Sparse Neural Networks, , 2013.
Yao, Z., V. Gripon, and M. G. Rabbat, "A GPU-based Associative Memory using Sparse Neural Networks", High Performance Computing & Simulation (HPCS), 2014 International Conference on, Blogna, Italy, IEEE, pp. 688 - 692, 07/2014.
Yao, Z., P. Mark, and M. G. Rabbat, "Anomaly Detection using Proximity Graph and PageRank Algorithm", IEEE Transactions on Information Forensics and Security, vol. 7, issue 4, 08/2012. Abstract  Download: yao2012pagerank.pdf (1.19 MB)
Yao, Z., V. Gripon, and M. G. Rabbat, Combating Corrupt Messages in Clustered Sparse Associative Memories, , 2014.
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Winkler, S., E. Porter, A. Santorelli, M. Coates, and M. Popović, "Recent Progress in Ultra-Wideband Microwave Breast Cancer Detection", Proc. International Conference on Ultra-wide Band 2012 (ICUWB 2012), Syracuse, NY, USA, Sept. 17-20, 2012.  Download: ICUWB2012.pdf (1.1 MB)
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Vinokurov, A., X. Liu, and L. G. Mason, "Resource Sharing for QoS in Agile All Photonic Networks", OPNETWORK, Washington D.C., 08/2005. Abstract  Download: PDF (293.01 KB)
Valenchon, J., and M. J. Coates, "Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes", 2019 IEEE International Conference of Acoustics, Speech and Signal Processing, Brighton, UK, 2019.  Download: 20190220023825_521885_3600.pdf (346.53 KB)
Valenchon, J., "Graph-based machine learning algorithms for predicting disease outcomes", Electrical and Computer Engineering, vol. Master, Montreal, McGill, pp. 108, 03/2019.  Download: 260788558_Valenchon_Juliette_Electrical&ComputerEng(ECE)_thesis.pdf (5.45 MB)
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Üstebay, D., B. N. Oreshkin, M. J. Coates, and M. G. Rabbat, "Multi-hop greedy gossip with eavesdropping", 12th International Conference on Information Fusion, Seattle, WA USA, pp. 140-145, July 2009. Abstract
Üstebay, D., M. J. Coates, and M. G. Rabbat, "Greedy gossip with eavesdropping", 3rd International Symposium on Wireless Pervasive Computing (ISWPC), Santorini, Greece, pp. 759-763, May 2008. Abstract
Üstebay, D., and M. G. Rabbat, "Efficiently Reaching Consensus on the Largest Entries of a Vector", 51st IEEE Conference on Decision and Control (CDC), Maui, Hawaii, Dec. 2012. Abstract