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Chenye Wang

rqc6hk [at] virginia.edu

About Me

Hi, I am Chenye Wang, a Ph.D. student in Electrical Engineering at University of Virginia, advised by Prof. Cong Shen.

Before that, I received my M.Eng. degree in Electronic and Information Engineering at Fudan University, under the supervision of Prof. Yi Jiang and later by Prof. Xin Wang, in 2026. I received my B.Eng. degree in Communication Engineering from Chongqing University of Post and Telecommunications in 2023.

My research interests include signal processing, AI/ML, and wireless communications. Currently, I am working on AI for spectrum sensing and reinforcement learning for spectrum slicing.

Education

University of Virginia

Charlottesville, VA

Ph.D. in Electrical Engineering

Aug. 2026 - Present

Fudan University

Shanghai, China

M.Eng. in Electronic and Information Engineering

Sept. 2023 - Jun. 2026

GPA: 3.71/4.0

Chongqing University of Post and Telecommunications

Chongqing, China

B.Eng. in Communication Engineering

Sept. 2019 - Jun. 2023

GPA: 3.79/4.0, ranking: 1/243

Intern Experience

Nokia Bell Labs Shanghai

Shanghai, China

Research Intern, NG-Wireless MTC

June 2025 - Dec. 2025

Supervisors: Dr. Chenhui Ye and Dr. Tao Tao

  • Designed an OFDM end-to-end receiver using Transformer/ResNet architectures based on NVIDIA Sionna link-level simulation, achieving a 1~3 dB gain over a traditional LS/LMMSE channel estimator with LMMSE equalizer.
  • Developed a novel OFDM 2D positional encoding and integrated it into channel estimation for superimposed pilot(SIP)-aided MIMO-OFDM systems, outperform the conventional 1D positional encoding.
  • Based on 3GPP RAN1 standards and specifications, proposed an SRS-aided DMRS overhead reduction for MIMO-OFDM channel estimation in 5G NR. Worked on the robustness and generalization evaluation of the proposed transformer model.

Selected Publications

  1. Decentralized Integration of Sensing-Communication-Computation for Multi-Task Edge AI Inference
    IEEE Transactions on Wireless Communications
    Chenye Wang, Zeming Zhuang, Dingzhu Wen, Yuanming Shi and Xin Wang
  2. MIMO Over-the-Air Federated Learning with Spiking Neural Network via Lattice Code
    IEEE International Conference on Communications (ICC)
    Chenye Wang, Youlong Wu, Ting Wang and Yuanming Shi
  3. Optimal Sequence Detection for A One-Bit ADC Receiver Using A Quasi-Neural Network
    IEEE Wireless Communications Letters
    Chenye Wang, Qinghe Du and Yi Jiang
  4. Insertion Loss Calibration for A Phase Shifter Network
    IEEE/CIC International Conference on Communications in China (ICCC)
    Chenye Wang, Wei Zhang and Yi Jiang

Academic Services

Journal Reviewer:

    IEEE Transactions on Wireless Communications; IEEE Transactions on Communications; IEEE Journal on Selected Areas in Communications; IEEE Transactions on Green Communications and Networking; IEEE Transactions on Vehicular Technology

Conference Reviewer:

    WCNC 2026; ICC Workshops 2025, 2026; ISIT 2026; VTC2026-Spring, VTC2026-Fall

TPC:

  • VTC2027-Fall: AI and Machine Learning for Communications
  • VTC2026-Fall: Machine Learning and AI for Communications
  • VTC2026-Spring: Signal Processing for Wireless Communications, Cooperative Communication
  • ICC 2026 Workshop: Task-Oriented and Generative Communications for 6G

Selected Honors and Awards

Outstanding Graduate of Shanghai, 2026
Corporate Scholarship, Fudan University, 2025
National Scholarship (Top 0.4%), 2024
Outstanding Student, Fudan University, 2024
First Class Scholarship, CQUPT, 2021, 2022
Meritorious Winner, International Mathematical Contest in Modeling, 2022
National Second Prize, Contemporary Undergraduate Mathematical Contest in Modeling, 2021