Publications

Journal

1. S. Chen, Y. C. Eldar, and L. Zhao,“Graph unrolling networks: Interpretable neural networks for graph signal denoising”, IEEE Transactions on Signal Processing, submitted
2. V. Ioannidis, S. Chen, and G. Giannakis,“Efficient and stable graph scattering transforms via pruning”, IEEE Transactions on Pattern Analysis and Machine Intelligence.}, submitted
3. M. Li, S. Chen, X. Chen, Y. Zhang, Y. Wang, and Q. Tian,“Symbiotic graph neural networks for 3D skeleton-based human action recognition and motion prediction”, IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted
4. X. Chen, S. Chen, H. Zheng, J. Yao, K. Cui, Y. Zhang, and I. W. Tsang,“Node attribute generation on graphs”, IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted
5. S. Chen, B. Liu, C. Feng, C. Vallespi-Gonzalez, and C. Wellington, “3D point cloud processing and learning for autonomous driving''”, IEEE Signal Processing Magazine, Special Issue on Autonomous Driving, 2020.
6. J. Liu,S. Chen, M. Berges, J. Bielak, J. H Garrett, J. Kovačević, and H. Y. Noh, “Damage diagnosis algorithms for indirect structural health monitoring of bridges”, Mechanical Systems and Signal Processing, 2019
7. J. Liu,S. Chen, George Lederman, David Kramer, H. Y. Noh, J. Bielak, J. H Garrett, J.~Kova\v{c}evi\'c, and M. Berges, “Dynamic responses of two passenger trains with the corresponding GPS positions, environmental conditions and weekly maintenance schedules in Pittsburgh’s light rail network”, Nature Scientific Data, 2019
8. S. Chen, C. Duan, Y. Yang, D. Li, C. Feng and D. Tian, “FoldingNet++: Deep unsupervised learning of 3D point clouds via graph topology inference and filtering”, IEEE Trans. Image Process., 2020.
9. S. Chen, D. Tian, C. Feng, A. Vetro and J. Kovačević, “Fast resampling of 3D point clouds via graphs”, IEEE Trans. Signal Process., 2018.
10. Y. Yang, S. Chen, M. Maddah-Ali, P. Grover, S. Kar and J. Kovačević, “Fast temporal path localization on graphs via multiscale Viterbi decoding”, IEEE Trans. Signal Process., 2018.
11. S. Chen, Y. Yang, S. Zong, A. Singh, and J. Kovačević, “Detecting localized categorical attributes on graphs”, IEEE Trans. Signal Process., 2017.
12. 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”. J. Mech. Syst. Signal Process., 2017.
13. 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.
14. 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.
15. 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.
16. S. Chen, R. Varma, A. Sandryhaila, and J. Kovačević, “Discrete signal processing on graphs: Sampling Theory”, IEEE Trans. Signal Process., 2015.
17. S. Chen, A. Sandryhaila, J. M. F. Moura, and J. Kovačević, “Signal recovery on graphs: Variation minimization”, IEEE Trans. Signal Process., 2015.
18. 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.
19. 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. P. Wu, S. Chen, and D. Metaxas,“MotionNet: Joint perception and motion prediction for autonomous driving based on BEV maps”, In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 2020.
2. M. Li, S. Chen, Y. Zhang, and Y. Wang,“Dynamic multiscale graph neural networks for category-agnostic 3D skeleton-based motion prediction”, In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2020, Oral.
3. Y. Hu, S. Chen,Y. Zhang, and Y. Wang,“Collaborative motion prediction via neural message passing”, In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2020, Oral.
4. J. Liu, B. Chen, S. Chen, M. Berges, J. Bielak, H. Noh,“Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring”, In Proc. IEEE Int. Conf. Acoust., Speech Signal Process. 2020.
5. S. Chen, N. Zhang, and H. Sun,“Collaborative localization based on traffic landmarks for autonomous driving”, International Symposium on Circuits and Systems (ISCAS), 2020.
6. V. Ioannidis, S. Chen, and G. Giannakis,“Pruned graph scattering transforms”, International Conference on Learning Representations (ICLR), 2020.
7. S. Chen, S. Niu, T. Lan and B. Liu, “PCT: Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving”, In Proc. IEEE Int. Conf. on Image Process., Taipei, Taiwan, Sep. 2019.
8. M. Li, S. Chen, X. Chen, Y. Zhang, Y. Wang and Q. Tian, “Actional-structural graph convolutional networks for 3D skeleton-based action recognition”, In Proc. IEEE Computer Vision and Pattern Recognition, Long Beach, CA, June 2019. [code]
9. Y. Hu, S. Chen, X. Chen, Y. Zhang and X. Gu “Neural message passing for visual relationship detection”, ICML Workshop (Learning and Reasoning with Graph-Structured Representations), June. 2019.[code]
10. C. Duan, S. Chen and J. Kovačević, “3D point cloud denoising via deep-neural-network based local surface estimation”, In Proc. IEEE Int. Conf. Acoust., Speech Signal Process., Brighton, UK, May 2019. [code]
11. C. Duan, S. Chen and J. Kovačević, “Weighted multiple-projection: 3D point cloud denoising with tangent planes”, In Proc. IEEE Glob. Conf. Signal Information Process., Anaheim, California, Nov. 2018. [code]
12. S. Niu*, S. Chen*, H. Guo, C. Targonski, M. C. Smith and J. Kovačević, “Generalized value iteration networks: Life beyond lattices”, In Proc. AAAI., New Orleans, Feb. 2018. [code]
13. S. Chen, D. Tian, C. Feng, A. Vetro and J. Kovačević, “Contour-enhanced resampling of 3d point clouds via graphs”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., New Orleans, 2017.
14. Y. Yang, S. Chen, M. Ali Maddah-Ali, P. Grover, S. Kar and J. Kovačević, “Fast path localization on graphs via multiscale Viterbi decoding”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., New Orleans, 2017.
15. R. Varma, S. Chen and J. Kovačević, “Graph topology recovery for regular and irregular graphs”, In IEEE CAMSAP, Curacao, Netherlands Antilles, Dec. 2017.
16. S. Chen, Y. Yang, A. Singh, and J. Kovačević, “Signal detection on graphs: Bernoulli noise model”, In Proc. IEEE Glob. Conf. Signal Information Process., Washington, DC, Dec. 2016.
17. S. Chen, Y. Yang, C. Faloutsos, and J. Kovačević, “Monitoring Manhattan's traffic at 5 intersections?”, In Proc. IEEE Glob. Conf. Signal Information Process., Washington, DC, Dec. 2016.
18. 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.
19. 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.
20. R. Varma, S. Chen and J. Kovačević, “Spectrum-blind signal recovery on graphs”, IEEE CAMSAP, Cancun, Mexico, 2015.
21. T. Ji, S. Chen, R. Varma and J. Kovačević, “Efficient route planning of autonomous vehicles based on graph signal recovery”, Allerton 2015.
22. 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.
23. S. Chen, A. Sandryhaila, and J. Kovačević, “Sampling theory for graph signals”, Proc. IEEE Int. Conf. Acoust., Speech Signal Process., Brisbane,Australia, April, 2015.
24. 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.
25. S. Bittner, S. Chen, and J. Kovačević, “ Fast algorithm for neural network reconstruction”, Proc. IEEE Int. Symposium on Biomedical Imaging., Brooklyn, NY, April, 2015.
26. 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
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.