³ÂË¼ºâ Siheng ChenPostdoctoral research associate in ECE at CMU |
Publications
Preprint
- S. Chen, S. Niu, L. Akoglu, J. Kovačević and C. Faloutsos, “Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm”.
- G. Lederman, S. Chen, J. H. Garrett, J. Kovačević, H. Y. Noh, and J. Bielak “A Data Fusion Approach for Track Monitoring From Multiple In-Service Trains”.
- S. Chen, D. Tian, C. Feng, A. Vetro and J. Kovačević, “Fast resampling of 3D point clouds via graphs”.
- S. Chen, Y. Yang, J. M. F. Moura, and J. Kovačević, “Localization, decomposition and dictionary learning of piecewise-constant signals on graphs”.
- S. Chen, R. Varma, A. Singh, and J. Kovačević, “Signal representations on graphs: Tools and applications”.
- S. Chen, Q. Gao, C. Li, J. Kovačević and C. Faloutsos “ZoomRank: Bridging PageRank and HITS”.
Journal
- S. Chen, Y. Yang, S. Zong, A. Singh, and J. Kovačević, “Detecting localized categorical attributes on graphs”, IEEE Trans. Signal Process., 2017.
- G. Lederman, S. Chen, J. H. Garrett, J. Kovačević, H. Y. Noh, and J. Bielak “Track monitoring from the dynamic response of a passing train: a sparse approach”, J. Mech. Syst. Signal Process., 2016.
- G. Lederman, S. Chen, J. H. Garrett, J. Kovačević, H. Y. Noh, and J. Bielak “Rail-monitoring from the dymanic response of an operational train”, J. Mech. Syst. Signal Process., 2016.
- S. Chen, R. Varma, A. Singh, and J. Kovačević, “Signal recovery on graphs: Fundamental limits of sampling strategies”, IEEE Trans. Signal and Inform. Process. over Networks, sp. iss. Inference and Learning over Networks, 2016.
- S. Chen, R. Varma, A. Sandryhaila, and J. Kovačević, “Discrete signal processing on graphs: Sampling Theory”, IEEE Trans. Signal Process., 2015.
- S. Chen, A. Sandryhaila, J. M. F. Moura, and J. Kovačević, “Signal recovery on graphs: Variation minimization”, IEEE Trans. Signal Process., 2015.
- S. Chen, F. Cerda, P. Rizzo, J. Bielak, J. H. Garrett, and J. Kovačević, “Semi-supervised multiresolution classification using adaptive graph filtering with application to indirect bridge structural health monitoring”, IEEE Trans. Signal Process., 2014.
- F. Cerda, S. Chen, J. Bielak, J. H. Garrett, P. Rizzo, and J. Kovačević, “Indirect structural health monitoring of a simplified laboratory-scale bridge model ”, Int. J. Smart Struct. Syst., sp. iss. Challenge on bridge health monitoring utilizing vehicle-induced vibrations, 2014.
Conference
- S. Chen, Y. Yang, A. Singh, and J. Kovacevic. Signal detection on graphs: Bernoulli noise model”, In Proc. IEEE Glob. Conf. Signal Information Process., Washington, DC, Dec. 2016.
- S. Chen, Y. Yang, C. Faloutsos, and J. Kovacevic. Monitoring Manhattan's traffic at 5 intersections?”, In Proc. IEEE Glob. Conf. Signal Information Process., Washington, DC, Dec. 2016.
- S. Chen, R. Varma, A. Singh and J. Kovačević, “A statistical perspective of sampling scores for linear regression”, Proc. IEEE International Symposium on Information Theory, Barcelona, Spain, 2016.
- S. Chen, R. Varma, A. Singh and J. Kovačević, “Representations of piecewise smooth signals on graphs”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., Shanghai, China, 2016.
- R. Varma, S. Chen and J. Kovačević, “Spectrum-blind signal recovery on graphs”, IEEE CAMSAP, Cancun, Mexico, 2015.
- T. Ji, S. Chen, R. Varma and J. Kovačević, “Efficient route planning of autonomous vehicles based on graph signal recovery”, Allerton 2015.
- S. Chen, R. Varma, A. Singh and J. Kovačević, “Signal recovery on graphs: Random versus experimentally designed sampling”, SampTA 2015, Washington, D.C., May, 2015.
- S. Chen, A. Sandryhaila, and J. Kovačević, “Sampling theory for graph signals”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., Brisbane,Australia, April, 2015.
- S. Chen, A. Sandryhaila, and J. Kovačević, “Distributed algorithm for graph signal inpainting”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., Brisbane,Australia, April, 2015.
- S. Bittner, S. Chen, and J. Kovačević, “ Fast algorithm for neural network reconstruction”, Proc. IEEE Int. Symposium on Biomedical Imaging., Brooklyn, NY, April, 2015.
- S. Chen, A. Sandryhaila, J. M. F. Moura, and J. Kovačević, “Signal denoising on graphs via graph filtering,”, Proc. IEEE Glob. Conf. Signal Information Process., Atlanta, GA, Dec, 2014
- S. Chen, A. Sandryhaila, G. Lederman, Z. Wang, J. M. F. Moura, P. Rizzo, J. Bielak, J. H. Garrett, and J. Kovačević, “Signal inpainting on graphs via total variation minimization”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., Florence, Italy, May 2014.
- G. Lederman, Z. Wang, S. Chen, T. Tang, F. Cerda, J. Bielak, J. H. Garrett, J. Kovačević, H. Noh, and P. Rizzo, “Damage quantification and localization algorithms for indirect SHM of bridges”, Proc. Int. Conf. Bridge Maint., Safety Manag., Shanghai, China, July 2014.
- S. Chen, A. Sandryhaila, J. M. F. Moura, and J. Kovačević, “Adaptive graph filtering: Multiresolution classification on graphs”, Proc. IEEE Glob. Conf. Signal Information Process., Austin, TX, Dec. 2013.
- S. Chen, F. Cerda, J. Guo, J. B. Harley, Q. Shi, P. Rizzo, J. Bielak, J. H. Garrett and J. Kovačević, “Multiresolution classification with semi-supervised learning for indirect bridge structure health monitoring”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., Vancouver, Canada, May 2013.
- Z. Wang, S. Chen, G. Lederman, F. Cerda, J. Bielak, J. H. Garrett, P. Rizzo and J. Kovačević, “Comparison of sparse representation and Fourier discriminant methods: Damage location classification in indirect lab-scale bridge structural health monitoring”, Proc. Structures Congr., Pittsburgh, PA, May 2013.
- F. Cerda, J. H. Garrett, J. Bielak, P. Rizzo, J. A. Barrera, Z. Zhang, S. Chen, M. T. McCann, and J. Kovačević, “Indirect structural health monitoring in bridges: scale experiments”, Proc. Int. Conf. Bridge Maint., Safety Manag., Lago di Como, Italy, July 2012.
Thesis
- S. Chen, “Data science with graphs: A signal processing perspective”, Ph.D Thesis in ECE, 2016.
- S. Chen, “Adaptive sampling for urban traffic monitoring”, Master Thesis in MLD, 2016.