🎓 M.Phil. Researcher @ HKU ECE

Yikun Wang

Wireless intelligence · learning to optimize · spatial reconstruction

Yikun Wang by the sea at sunset

Hello from Hong Kong 👋
ECE @ The University of Hong Kong

I am an M.Phil. student in Electrical and Computer Engineering at The University of Hong Kong, advised by Prof. Yik-Chung Wu. I received my B.E. in Electronic Information Engineering from Beihang University. My research spans learning-based optimization for wireless systems, low-altitude 3D reconstruction, and motion planning in highly dynamic environments.

Email me GitHub Google Scholar CV
  • Learning to Optimize
  • Wireless Intelligence
  • 3D Gaussian Splatting
  • Robotics
Latest

Updates

News

Service

Started serving as a reviewer for IEEE Communications Magazine and IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation.

🎉 Accepted

One paper about learning-based CSI feedback and beamforming was accepted in IEEE GLOBECOM 2026!

Accepted · Open source

One paper on low-altitude Gaussian Splatting was accepted by IEEE Transactions on Vehicular Technology. The code for generating the numerical results has been open-sourced.

Conference

Attended IEEE ICC 2026 and had a wonderful time in Glasgow and Edinburgh.

Service

Started serving as a reviewer for IEEE Transactions on Mobile Computing and IEEE Wireless Communications Letters.

Accepted

One paper on intelligent motion planning in highly dynamic environments was accepted by IEEE Robotics and Automation Letters (RA-L).

Service

Started serving as a reviewer for IEEE Open Journal of the Communications Society.

Accepted · Open source

One paper on DL-driven mixed-discrete optimization was accepted by the IEEE International Conference on Communications. The code for generating the numerical results has been open-sourced.

Selected work

Publications

  1. 2026
    Low-altitude Gaussian Splatting system overview
    IEEE TVT

    LAGS: Low-Altitude Gaussian Splatting with Groupwise Heterogeneous Graph Learning

    Yikun Wang, Yujie Wan, Wei Zuo, Shuai Wang, Yik-Chung Wu, Chengzhong Xu, Huseyin Arslan

    arXivCode
  2. 2026
    Autoregressive encoder-decoder framework for mixed-discrete wireless resource allocation
    Under review · IEEE TWC

    A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints

    Yikun Wang, Yang Li, Yik-Chung Wu, Rui Zhang

    A general autoregressive framework for mixed-discrete decisions with constraint-aware masking and continuous-variable learning.

    arXivCode
  3. 2026
    Movable antenna positioning and beamforming framework
    IEEE ICC

    Learning to Jointly Optimize Antenna Positioning and Beamforming for Movable Antenna-Aided Systems

    Yikun Wang, Yang Li, Zeyi Ren, Jingreng Lei, Yik-Chung Wu, Rui Zhang

    arXivCode
  4. 2026
    IEEE GLOBECOM

    Downlink Beamforming in Cell-Free Systems with Compressed CSI: A Vector Quantized Learning Approach

    Wentao Zhang, Yikun Wang, Yang Li, Minghua Xia, and Zhaocheng Wang

  5. 2026
    DPNet framework combining Doppler velocity rectification, D-KalmanNet, and dynamic motion planning
    IEEE RA-L

    DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments

    Wei Zuo, Zeyi Ren, Chengyang Li, Yikun Wang, et al.

    arXivCode
  6. 2026
    IEEE ISIT Workshop

    Efficient Transceiver Design for Aerial Image Transmission and Large-scale Scene Reconstruction

    Zeyi Ren, Jialin Dong, Wei Zuo, Yikun Wang, et al.

  7. 2026
    CVPR

    NTK-Guided Implicit Neural Teaching

    Chen Zhang, Wei Zuo, Bingyang Cheng, Yikun Wang, Wei-Bin Kou, Yik-Chung Wu, Ngai Wong

    Code
  8. 2026
    IEEE ICASSP

    HPTune: Hierarchical Proactive Tuning for Collision-Free Model Predictive Control

    Wei Zuo, Chengyang Li, Yikun Wang, Bingyang Cheng, Zeyi Ren, Shuai Wang, Derrick Wing Kwan Ng, Yik-Chung Wu

    arXiv
  9. 2026
    国家发明专利

    一种无蜂窝系统的联合授权与波束赋形方法及其相关设备

    申请号：202610309500.6，申请日期：2026年3月13日

* Names in bold indicate Yikun Wang. Publication status reflects the provided CV and public records as of July 2026.

Research appointment

Work Experience

Visiting Research Assistant

Great Bay University & Shenzhen Research Institute of Big Data

Advisor: Prof. Yang Li

Conducted research on cell-free wireless systems, learning-based combinatorial optimization, and vector-quantized CSI compression and precoding.

  • Cell-free MIMO
  • Learning to Optimize
  • Wireless AI

Reproducible research

Open Source

LAGS groupwise aerial image transmission system diagram
01 / LAGS

Low-Altitude Gaussian Splatting

GW-HGNN jointly allocates UAV transmit power and selects valuable image groups for high-fidelity 3D reconstruction at millisecond-scale inference speed.

  • PyTorch
  • Graph learning
  • 3DGS
View repository
02 / MA

Movable Antenna Positioning & Beamforming

A policy-gradient positioning network and learned beamformer for mixed discrete-continuous optimization on a 2D antenna grid.

Python8 starsMIT
View repository
03 / CELL-FREE

User Association & Beamforming

DVLN/CVLN code for constraint-aware, sequential UE–AP association and edge-GNN beamforming in scalable cell-free MIMO.

PythonPyTorchMIT
View repository

Background

Curriculum Vitae

Download CV (PDF)