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.

  • 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
      • 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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  • Internships with Siheng

    • CV1354: Multisensor fusion for scene understanding

      MERL is looking for a self-motivated intern to work on multisensor fusion for scene understanding. There are several available topics to choose from. The ideal candidate would be a Ph.D. student with a strong background in computer vision and machine learning. Proficiency in Python programming is necessary. You are expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

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  • MERL Publications

  • 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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