Scholar

Hanwen Zhang

Google Scholar ID: j4nMjz0AAAAJ

University of Georgia

Wireless Resource AllocationConstrained OptimizationLearn-to-optimize

Citations & Impact

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Citations

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Publications

Co-authors

Contact

Resume

Academic Achievements

Publications:
1. Model-based Deep Learning for QoS-Aware Rate-Splitting Multiple Access Wireless Systems (Accepted by IEEE TWC, First Author)
2. Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications (Accepted by ICC 2025, First Author)
3. Exploring Communication Technologies, Standards, and Challenges in Electrified Vehicle Charging (Accepted by IET Communications)
4. Energy Efficient Robust Beamforming for Vehicular ISAC with Imperfect Channel Estimation (Accepted by ICC 2024 Workshop, First Author)
Preprints:
1. Feasibility Guaranteed Learning-to-Optimize in Wireless Communication Resource Allocation (Available on arxiv, First Author)
2. HoP: Homeomorphic Polar Learning for Hard Constrained Optimization (Available on arxiv, Co-First Author)
Awards/Honors:
1. Student Travel Grant supported by the National Science Foundation, May 2024, Amount: $1000
2. Lancaster University Dean's List, October 2022

Research Experience

Position: Graduate Research Assistant, College of Engineering, University of Georgia.

Education

PhD: University of Georgia, Athens, USA, Advisor: Dr. Haijian Sun, August 2023 - present; Dual B.Eng: Beijing Jiaotong University and Lancaster University, Beijing, China and Lancaster, UK, June 2023.

Background

Research Interests: Wireless Communication and AI, Model-Based Deep Learning, Generative AI for Wireless Systems, Constrained Optimization, Learn-to-Optimize. Brief: PhD Student in the College of Engineering, University of Georgia, Graduate Research Assistant.

Miscellany

Community Service: Reviewer for multiple IEEE journals and conferences, including IEEE Internet of Things Journal, IEEE Communication Magazine, IEEE Network, IEEE ICNC, IEEE ICC, IEEE Globecom, IEEE VTC.