Kunzan Liu

I am a first year Ph.D. student at MIT EECS, working at Computational Biophotonics Laboratory advised by Prof. Sixian You. I received my B.E. degree in EE from Tsinghua University in 2022, where I worked on dimensionality reduction for wireless communications with Prof. Linglong Dai.

My current research interests lie in the fields of multiphoton microscopy and computational imaging for biological understandings.

Email  /  Bio  /  Google Scholar  /  ResearchGate

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Sensing RISs: Enabling Dimension-Independent CSI Acquisition for Beamforming

Jieao Zhu, Kunzan Liu, Zhongzhichao Wan, Linglong Dai, Tie Jun Cui, H. Vincent Poor
IEEE Transactions on Information Theory, 2023
[Paper] [IEEE] [Code]

Multiple-Sample Training for Neural Image Compression

Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin
Advances in Neural Information Processing Systems (NIPS), 2022
[Paper] [NIPS]

Compact User-Specific Reconfigurable Intelligent Surfaces for Uplink Transmission

Kunzan Liu, Zijian Zhang, Linglong Dai, Lajos Hanzo
IEEE Transactions on Communications, 2022
[Paper] [IEEE] [Code]

Active Reconfigurable Intelligent Surface: Fully-Connected or Sub-Connected?

Kunzan Liu, Zijian Zhang, Linglong Dai, Shenheng Xu, Fan Yang
IEEE Communications Letters, 2022
[Paper] [IEEE] [Code]

User-Side RIS: Realizing Large-Scale Array at User Side

Kunzan Liu, Zijian Zhang, Linglong Dai
IEEE Global Communications Conference (GLOBECOM), 2021
[Paper] [IEEE] [Slides]

On The Energy-Efficiency Fairness of Reconfigurable Intelligent Surface-Aided Cell-Free Network

Kunzan Liu, Zijian Zhang
IEEE Vehicular Technology Conference (VTC), 2021
[Paper] [IEEE]

Dimensionality-Reduced Secure Outlier Detection on Union of Subspaces

Kunzan Liu, Yuchen Jiao, Ye Jin, Xu Xiang, Yuantao Gu
IEEE International Conference on Cryptography, Security and Privacy (CSP), 2021
[Paper] [IEEE]


  • 2022, MIT Presidential Graduate Fellowship Award
  • 2022, Excellent Bachelor Dissertation of Beijing
  • 2022, Excellent Graduates of Beijing
  • 2022, Grand Prize in Tsinghua Challenge Cup
  • 2021, Tsinghua Grand Scholarship (10 students each year)
  • 2021, SenseTime Scholarship
  • 2021, National Scholarship
  • 2021, Grand Prize in Beijing Challenge Cup
  • 2020, National Scholarship
  • 2019, National Scholarship

Educational Background

    Department of Electrical Engineering and Computer Science, MIT (2022.09 - present)
    Advisor: Prof. Sixian You
    Department of Electronic Engineering, Tsinghua University (2018.08 - 2022.06)
    B.E. Degree: Electronic Engineering
    Minor Degree: Biomedical Engineering
    Thesis: Dimensionality-Reduction for Reconfigurable Intelligent Surfaces-Aided Communications
    Advisor: Prof. Linglong Dai, Mentor: Zijian Zhang

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