Hello, welcome to Zhouyou Gu’s website!

About Me

I am Zhouyou Gu (Charles), a Research Fellow at the Singapore University of Technology and Design (SUTD), working with Prof. Jihong Park.

(M, IEEE) My research focuses on wireless networking systems, especially scheduler and protocol design using graph representation learning, reinforcement learning, and knowledge-assisted learning. I work across algorithm design, real-time prototyping, and programmable network architectures for Wi-Fi, cellular, and LEO-terrestrial systems.

Appointments

• Nov 2024-Present: Research Fellow, Singapore University of Technology and Design, Singapore (with Prof. Jihong Park)
• Aug 2024-Oct 2024: Research Fellow, Deakin University, Australia (with Prof. Jinho Choi)
• Sep 2023-Dec 2023: Research Assistant, The University of Sydney, Australia (with Prof. Branka Vucetic)

Education

• 2023: Ph.D. in Engineering (School of Electrical and Information Engineering), The University of Sydney, Australia Thesis: Scheduler Designs in Wireless Networks
• 2019: M.Phil. in Engineering (School of Electrical and Information Engineering), The University of Sydney, Australia Thesis: Programmable Scheduler Architectures for Multi-Tenant Wireless Networks
• 2016: B.E. (Honours Class I) in Electrical Engineering, The University of Sydney, Australia

Awards and Honors

• 2026: Best Student Paper Award, AAAI 2026 Workshop on Machine Learning for Wireless Communication and Networks (for LocDreamer)
• 2025: Nvidia Academic Grant Program
• 2022: Postgraduate Completion Scholarship, The University of Sydney
• 2021: Postgraduate Research Supplementary Scholarship, The University of Sydney
• 2020: Postgraduate Research Supplementary Scholarship, The University of Sydney
• 2019: Postgraduate Research Supplementary Scholarship, The University of Sydney
• 2019: Australian Research Training Program Stipend

Teaching

• 2025: Project Supervisor, SUTD International Undergraduate Research Opportunities Program
• 2020: Guest Lecturer, ELEC5508 Wireless Engineering, The University of Sydney
• 2018: Tutor, ELEC2104 Electronic Devices and Circuits, The University of Sydney
• 2017: Tutor, ELEC1103 Fundamentals of Electrical and Electronic Engineering, The University of Sydney
• 2016: Tutor, ELEC1601 Foundations of Computer Systems, The University of Sydney

Supervision

• 2025-Present: Co-supervision, Sixi Cheng (Doctor of Philosophy student), Singapore University of Technology and Design Project: Task-oriented coordination of multi-agent wireless systems Outcome/Notes: one journal manuscript under review
• 2025-Present: Co-supervision, Zerui Kang (Doctor of Philosophy student), Singapore University of Technology and Design Project: Radio-frequency digital twin Outcome/Notes: one workshop paper accepted; Nvidia Academic Grant Program awarded
• 2025-Present: Co-supervision, Yishen Lim (Research assistant), Singapore University of Technology and Design Project: Wireless-controlled robotics Outcome/Notes: one workshop paper accepted
• 2025-Present: Co-supervision, Tanda Liu (Doctor of Philosophy student), Singapore University of Technology and Design Project: Space debris detection and tracking in LEO mega-constellations Outcome/Notes: one journal manuscript in preparation
• 2025: Co-supervision, Geng Wang (Doctor of Philosophy student), The University of Sydney Project: World model-based wireless indoor localization Outcome/Notes: one workshop paper accepted; best student paper award at AAAI 2026 Workshop on Machine Learning for Wireless Communication and Networks (ML4Wireless)
• 2025: Co-supervision, Sivaram Krishnan (Doctor of Philosophy student), The University of Adelaide Project: Software-defined networking in LEO-terrestrial integrated systems Outcome/Notes: one journal accepted at IEEE Wireless Communications Letters; one journal manuscript in preparation
• 2023: Co-supervision, Wenbin Zhao (Master of Philosophy student), The University of Sydney Project: Learning-based HARQ in 5G networks Outcome/Notes: one conference paper accepted at IEEE VTC2024-Fall

Industry Collaboration and Tech Transfer

• 2025: Nvidia collaboration on vision-language-model-guided differentiable ray tracing for RF parameter estimation
• 2022-2023: Morse Micro collaboration on interference management for Wi-Fi HaLow (paper plus open-source code)
• 2020: SmartSatCRC collaboration on advanced satellite communications (project scoping proposal)
• 2018-2019: Telstra collaboration on open programmable schedulers for LTE/4G/5G/O-RAN (paper plus open-source prototype)

Open-Source Projects

• mega-constellation-demo (2026): live demo for mega-constellation digital twin research
• scneugm-wi-fi (2025): Wi-Fi 7 contention and interference management
• sig-sdp-mmw (2025): sparse interference graph processing for SIG-SDP
• ac-grl-wi-fi (2024): graph learning for Wi-Fi contention and interference management
• ns-3-dev-ac-grl-wi-fi (2024): NS-3 implementation for graph-learning Wi-Fi experiments
• drl-5g-scheduler (2021): knowledge-assisted DRL scheduler for 5G RAN

Professional Service

• Reviewer: IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, IEEE Transactions on Communications, IEEE Transactions on Machine Learning in Communications and Networking, IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal, IEEE Network
• Reviewer: WCNC, ICCC, INFOCOM Workshops, GLOBECOM Workshops, PIMRC, WF-IoT, IJCNN, AAAI ML4Wireless
• TPC Member: WCNC 2026, ICCC 2025, VTC2026-Spring, VTC2026-Fall
• Session Chair: Workshop on AI-RAN for Physical AI, IEEE MRS 2025

Invited Talks

• 2026: Australian Communication Theory Workshop Title: Learning Large-Scale Time-Varying Graphs for Laser Inter-Satellite Link Management in LEO Mega-Constellations
• 2025: IEEE SA Workshop on Semantic Communication and AI-RAN for 6G Title: Scalable and Flexible Graph-Based Interference Management in Large Wireless Networks
• 2025: SUTD FCCLab Internal Seminar Title: Implementing Online Deep Reinforcement Learning for Real-Time Media Access Control Scheduling in Radio Access Networks

Publication List

Preprints

• Z. Gu, J. Choi, T. Q. S. Quek, and J. Park, “Duality-Guided Graph Learning for Real-Time Joint Connectivity and Routing in LEO Mega-Constellations,” arXiv preprint arXiv:2601.21921, 2026.
• Z. Gu, J. Park, and J. Choi, “Joint Laser Inter-Satellite Link Matching and Traffic Flow Routing in LEO Mega-Constellations via Lagrangian Duality,” arXiv preprint arXiv:2601.21914, 2026.
• Z. Gu, J. Park, and J. Choi, “ScNeuGM: Scalable Neural Graph Modeling for Coloring-Based Contention and Interference Management in Wi-Fi 7,” arXiv preprint arXiv:2502.03300, 2025.
• Z. Gu, J. Park, B. Vucetic, and J. Choi, “SIG-SDP: Sparse Interference Graph-Aided Semidefinite Programming for Large-Scale Wireless Time-Sensitive Networking,” arXiv preprint arXiv:2501.11307, 2025.

Published/Accepted Papers

• S. Krishnan, Z. Gu, J. Park, S. M. Oh, and J. Choi, “Reinforcement Learning for Opportunistic Routing in Software-Defined LEO-Terrestrial Systems,” IEEE Wireless Communications Letters, 2026, doi: 10.1109/LWC.2026.3663306.
• Z. Kang, Y. Lim, Z. Gu, S. W. Ko, T. Q. S. Quek, and J. Park, “Vision-Language-Model-Guided Differentiable Ray Tracing for Fast and Accurate Multi-Material RF Parameter Estimation,” in AAAI 2026 Workshop on Machine Learning for Wireless Communication and Networks (ML4Wireless), 2026, arXiv:2601.18242.
• G. Wang, Z. Gu, S. Li, P. Cheng, J. Park, B. Vucetic, and Y. Li, “LocDreamer: World Model-Based Learning for Joint Indoor Tracking and Anchor Scheduling,” in AAAI 2026 Workshop on Machine Learning for Wireless Communication and Networks (ML4Wireless), 2026, arXiv:2602.08204.
• W. Zhao, Z. Gu, B. Vucetic, and W. Hardjawana, “SNN-Based Early HARQ Predictor Design for 5G Networks,” in IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024, doi: 10.1109/VTC2024-Fall63153.2024.10757795.
• Z. Gu, W. Hardjawana, and B. Vucetic, “Opportunistic Scheduling Using Statistical Information of Wireless Channels,” IEEE Transactions on Wireless Communications, 2024, doi: 10.1109/TWC.2024.3366402.
• Z. Gu, B. Vucetic, K. Chikkam, P. Aliberti, and W. Hardjawana, “Graph Representation Learning for Contention and Interference Management in Wireless Networks,” IEEE/ACM Transactions on Networking, 2024, doi: 10.1109/TNET.2024.3355935.
• Z. Gu, C. She, W. Hardjawana, S. Lumb, D. McKechnie, T. Essery, and B. Vucetic, “Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation,” IEEE Journal on Selected Areas in Communications, 2021, doi: 10.1109/JSAC.2021.3078498.
• C. She, C. Sun, Z. Gu, Y. Li, C. Yang, H. V. Poor, and B. Vucetic, “A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning,” Proceedings of the IEEE, 2021, doi: 10.1109/JPROC.2021.3053601.
• C. She, R. Dong, Z. Gu, Z. Hou, Y. Li, W. Hardjawana, C. Yang, L. Song, and B. Vucetic, “Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks,” IEEE Network, 2020, doi: 10.1109/MNET.011.1900630.
• W. Zhang, Z. Gu, W. Hardjawana, B. Vucetic, S. Lumb, D. McKechnie, et al., “A Real-Time Vendor-Neutral Programmable Scheduler Architecture for Cellular Networks,” in IEEE Wireless Communications and Networking Conference (WCNC), 2020, doi: 10.1109/WCNC45663.2020.9120582.
• Z. Gu, W. Hardjawana, B. Vucetic, and L. S. Ho, “Multi-tenant spectrum and SSIDs controller for WiFi networks,” in IEEE INFOCOM Workshops, 2018, doi: 10.1109/INFCOMW.2018.8407005.