Siheng Chen

Siheng Chen
  • Biography

    Before coming to MERL, Siheng worked postdoctoral research associate at CMU and on perception and prediction systems for self-driving cars at Uber Advanced Technologies Group. At CMU he received 2 masters degrees (one in Electrical \& Computer Engineering and one in Machine Learning) in addition to his PhD. He received his bachelor's degree in Electronics Engineering in 2011 from Beijing Institute of Technology, China. He is the recipient of the 2018 IEEE Signal Processing Society Young Author Best Paper Award. His coauthored paper received the Best Student Paper Award at 2018 IEEE Global Conference on Signal and Information Processing. His research interests include graph signal processing, graph neural networks, 3D point cloud processing, and graph mining.

  • Recent News & Events

  • Awards

    •  AWARD   MERL researcher wins IEEE Young Author Best Paper award
      Date: January 2, 2019
      Awarded to: Siheng Chen
      MERL Contact: Siheng Chen
      Research Area: Signal Processing
      Brief
      • MERL researcher, Siheng Chen, has won an IEEE Young Author Best Paper award for his paper entitled "Discrete Signal Processing on Graphs: Sampling Theory". This paper, published in the December 2015 issue of IEEE Transactions on Signal Processing, proposes a sampling theory for signals that are supported on either directed or undirected graphs. The theory follows the same paradigm as classical sampling theory and shows that perfect recovery is possible for graph signals bandlimited under the graph Fourier transform. The award honors the authors of an especially meritorious paper dealing with a subject related to IEEE's technical scope and appearing in one if its journals within a three year window of eligibility.
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  • MERL Publications

    •  Chen, S., Liu, B., Feng, C., Vallespi-Gonzalez, C., Wellington, C., "3D Point Cloud Processing and Learning for Autonomous Driving", IEEE Signal Processing Magazine, May 2020.
      BibTeX TR2020-066 PDF
      • @article{Chen2020may2,
      • author = {Chen, Siheng and Liu, Baoan and Feng, Chen and Vallespi-Gonzalez, Carlos and Wellington, Carl},
      • title = {3D Point Cloud Processing and Learning for Autonomous Driving},
      • journal = {IEEE Signal Processing Magazine},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-066}
      • }
    •  Chen, S., Zhang, N., Sun, H., "Collaborative Localization Based on Traffic Landmarks for Autonomous Driving", IEEE International Symposium on Circuits and Systems (ISCAS), May 2020.
      BibTeX TR2020-064 PDF
      • @inproceedings{Chen2020may,
      • author = {Chen, Siheng and Zhang, Ningxiao and Sun, Huifang},
      • title = {Collaborative Localization Based on Traffic Landmarks for Autonomous Driving},
      • booktitle = {IEEE International Symposium on Circuits and Systems (ISCAS)},
      • year = 2020,
      • month = may,
      • url = {https://www.merl.com/publications/TR2020-064}
      • }
    •  Ioannidis, V., Chen, S., Giannakis, G., "Pruned Graph Scattering Transforms", International Conference on Learning Representations (ICLR), April 2020.
      BibTeX TR2020-055 PDF
      • @inproceedings{Ioannidis2020apr,
      • author = {Ioannidis, Vassilis and Chen, Siheng and Giannakis, Georgios},
      • title = {Pruned Graph Scattering Transforms},
      • booktitle = {International Conference on Learning Representations (ICLR)},
      • year = 2020,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2020-055}
      • }
    •  Liu, J., Chen, B., Chen, S., Berges, M., Bielak, J., Noh, H.Y., "Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9053450, April 2020, pp. 3007-3011.
      BibTeX TR2020-053 PDF Video
      • @inproceedings{Liu2020apr,
      • author = {Liu, Jingxiao and Chen, Bingqing and Chen, Siheng and Berges, Mario and Bielak, Jacobo and Noh, Hae Young},
      • title = {Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {3007--3011},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9053450},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-053}
      • }
    •  Chen, S., Duan, C., Yang, Y., Feng, C., Li, D., Tian, D., "Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering", IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2019.2957935, pp. 3183-3198, January 2020.
      BibTeX TR2020-004 PDF Software
      • @article{Chen2020jan,
      • author = {Chen, Siheng and Duan, Chaojing and Yang, Yaoqing and Feng, Chen and Li, Duanshun and Tian, Dong},
      • title = {Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering},
      • journal = {IEEE Transactions on Image Processing},
      • year = 2020,
      • pages = {3183--3198},
      • month = jan,
      • doi = {10.1109/TIP.2019.2957935},
      • url = {https://www.merl.com/publications/TR2020-004}
      • }
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  • Software Downloads

  • MERL Issued Patents

    • Title: "Methods and Systems for Fast Resampling Method and Apparatus for Point Cloud Data"
      Inventors: Tian, Dong; Feng, Chen; Vetro, Anthony; Chen, Siheng
      Patent No.: 10,229,533
      Issue Date: Mar 12, 2019
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