Siheng Chen

˼ Siheng Chen

Postdoctoral research associate in ECE at CMU

Publications

Preprint

  1. S. Chen, S. Niu, L. Akoglu, J. Kovačević and C. Faloutsos, “Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm”.
  2. 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”.
  3. S. Chen, D. Tian, C. Feng, A. Vetro and J. Kovačević, “Fast resampling of 3D point clouds via graphs”.
  4. S. Chen, Y. Yang, J. M. F. Moura, and J. Kovačević, “Localization, decomposition and dictionary learning of piecewise-constant signals on graphs”.
  5. S. Chen, R. Varma, A. Singh, and J. Kovačević, “Signal representations on graphs: Tools and applications”.
  6. S. Chen, Q. Gao, C. Li, J. Kovačević and C. Faloutsos “ZoomRank: Bridging PageRank and HITS”.

Journal

  1. S. Chen, Y. Yang, S. Zong, A. Singh, and J. Kovačević, “Detecting localized categorical attributes on graphs”, IEEE Trans. Signal Process., 2017.
  2. 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.
  3. 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.
  4. 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.
  5. S. Chen, R. Varma, A. Sandryhaila, and J. Kovačević, “Discrete signal processing on graphs: Sampling Theory”, IEEE Trans. Signal Process., 2015.
  6. S. Chen, A. Sandryhaila, J. M. F. Moura, and J. Kovačević, “Signal recovery on graphs: Variation minimization”, IEEE Trans. Signal Process., 2015.
  7. 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.
  8. 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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. R. Varma, S. Chen and J. Kovačević, “Spectrum-blind signal recovery on graphs”, IEEE CAMSAP, Cancun, Mexico, 2015.
  6. T. Ji, S. Chen, R. Varma and J. Kovačević, “Efficient route planning of autonomous vehicles based on graph signal recovery”, Allerton 2015.
  7. 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.
  8. S. Chen, A. Sandryhaila, and J. Kovačević, “Sampling theory for graph signals”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., Brisbane,Australia, April, 2015.
  9. 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.
  10. S. Bittner, S. Chen, and J. Kovačević, “ Fast algorithm for neural network reconstruction”, Proc. IEEE Int. Symposium on Biomedical Imaging., Brooklyn, NY, April, 2015.
  11. 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
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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

  1. S. Chen, “Data science with graphs: A signal processing perspective”, Ph.D Thesis in ECE, 2016.
  2. S. Chen, “Adaptive sampling for urban traffic monitoring”, Master Thesis in MLD, 2016.