ZZOU
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Zhibin Zou

Zhibin Zou is a Ph.D. candidate in the Department of Electrical and Computer Engineering at University at Albany, SUNY, where he is advised by Prof. Aveek Dutta since 2021. He received his Master’s and Bachelor's degrees from Xidian University, China. His research focuses on wireless communications, precoding and channel characterization with an emphasis on waveform design for non-stationary channels using ML/DL techniques. He is a recipient of the Best Paper Award within the Wireless Communication track in IEEE ICC 2022.

Email  /  Google Scholar  /  Linkedin  /  CV

Recent Projects

  • Generalizing Deep Learning for Wireless Communication

    • NSF CAREER, advised by Prof. Aveek Dutta, 2021-Present | Project Page

  • SCISRS: Signal Cancellation using Intelligent Surfaces for Radio Astronomy Services

    • NSF SWIFT, co-advised by Prof. Aveek Dutta and Prof. Dola Saha, 2022-Present | Project Page

  • Collaborative RFI Cancellation for Radio Astronomy

    • NSF SWIFT, co-advised by Prof. Aveek Dutta and Prof. Dola Saha, 2022-Present | Project Page

  • Robust Assembly of Compliant Modular Robots

    • NSF Collaborative Research: RI: Medium, advised by Prof. Weifu Wang, 2019-2021 | Project Page

      

    Awards and Honors

  • 2023, Granted Chinese Patent: “Patent (CN109683150A) is granted at April. 2023”

  • 2022, Young Gladiator : "Funded by Institute for the Wireless Internet of Things at Northeastern University"

  • 2022, Best Paper Award, IEEE ICC : “IEEE ICC is the flagship conference of IEEE ComSoc”

  • 2020, Granted Chinese Patent: “Patent (CN 108981707B) is granted at Sep. 2020”

  • 2018, National Scholarship, China: “Highest level scholarship for students in China”

  • 2017, National Scholarship, China: “Highest level scholarship for students in China”

  • 2017, Excellent Graduate Student, Xidian University

    • Publications

    The publications are mainly on three domains: wireless communication, robotics and target tracking.

    Journals:

    1. Multi-dimensional Eigenwave Multiplexing (MEM): A General Modulation Beyond OTFS
      Z ZOU, A Dutta
      IEEE Transactions on Communications | (Under Review)

    2. Waveforms for xG Non-stationary Channels
      Z ZOU, A Dutta
      arXiv:2301.00454

    3. Joint Spatio-Temporal Precoding for Practical Non-Stationary Wireless Channels
      Z ZOU, M Careem, A Dutta, N Thawdar
      IEEE Transactions on Communications | paper

    4. Optimizing towards the best insertion-based error-tolerating joints
      Z Zou
      arXiv:2209.15147 | paper | video

    5. Labeled box-particle CPHD filter for multiple extended targets tracking
      Z ZOU, L Song, X Cheng
      Journal of Systems Engineering and Electronics | paper

    6. Group target tracking algorithm based on labeled box particle probability hypothesis density
      X Cheng, L Song, H Ji, Z ZOU
      Systems Engineering and Electronics | paper

    Conferences:

    1. Adaptive Neural Network for Deconstructing Multi-dimensional Channel Kernels
      I Amarasekara, Z ZOU, A Dutta
      IEEE Vehicular Technology Conference (VTC) 2024 | paper

    2. Learning to Decompose Asymmetric Channel Kernels for Generalized Eigenwave Multiplexing
      Z ZOU, I Amarasekara, A Dutta
      IEEE INFOCOM 2024 | paper

    3. Capacity Achieving by Diagonal Permutation for MU-MIMO channels
      Z ZOU, A Dutta
      IEEE Global Communications Conference (GLOBECOM) 2023 | paper

    4. Mutidimensional Eigenwave Multiplexing Modulation for Non-stationary Channels
      Z ZOU, A Dutta
      IEEE Global Communications Conference (GLOBECOM) 2023 | paper

    5. SCISRS: Signal Cancellation using Intelligent Surfaces for Radio Astronomy Services
      Z ZOU, X Wei, D Saha, A Dutta, G Hellbourg
      IEEE Global Communications Conference (GLOBECOM) 2022 | paper

    6. Unified Characterization and Precoding for Non-Stationary Channels
      Z ZOU, M Careem, A Dutta, N Thawdar
      IEEE International Conference on Communications (ICC) 2022 [Best Paper Award] | paper

    7. Multiple group target tracking with evolving networks and labeled box particle PHD filter
      X Cheng, L Song Z Zou
      Chinese Control And Decision Conference (CCDC) 2018 | paper

    8. Labeled box-particle PHD filter for multi-target tracking
      Z Zou, L Song, X Cheng
      IEEE International Conference on Computer and Communications (ICCC) 2017 | paper

    Patents:

    1. Passive Box-particle PHD multi-target tracking based on TDOA
      L Song, Y Pan, Z Zou, H Ceng, P Yang, J Chai, F Song, F Wang
      CN Patent, CN108981707B (Granted) | patent

    2. A evaluation for the multple group and extended target ellipse shape estimation
      L Song, H Cent, Y Pan, P Yang, Z Zou, F Wang, F Song, J Chai
      CN Patent, CN109683150A (Granted) | patent

    3. Front vehicles distance measuring based on deep learning
      L Song, P Yang, H Ceng, Y Pan, Z Zou, F Wang, F Song, J Chai
      CN Patent, CN109509223A (Filed) | patent

    Service and Activities

  • Invited to present my work at the Special Technical Session in IEEE ICC 2022

  • Assisted in preparing the funded project NSF SWIFT #2229496

  • Reviewer of IEEE Transactions on Neural Networks and Learning Systems, Computational Intelligence and Neuroscience, Wireless Communications and Mobile Computing, Frontiers in Energy Research, Frontiers in Neurorobotics, IEEE International Conference on Communications, IEEE/RSJ International Conference on Intelligent Robots and Systems, and International Conference on Computer Science and Application Engineering

  • Student Member of IEEE, IEEE ComSoc, ACM

    • No. Visitor Since 2022.