π About Me
Hello! Iβm Yiheng Wang (ηδΈθ‘‘). π Iβm a second-year Ph.D. Student at the School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, supervised by Prof. Tsung-Hui Chang, Prof. Ye Xue and Prof. Tianshu Yu.
π Prior to that, I hold a masterβs degree from the Department of Electrical and Computer Engineering, National University of Singapore, where I was fortunately mentored by Dr. Yongchen Jing and Dr. Jingwen Ye, under the supervision of Prof. Xinchao Wang. I received my bachelorβs degree from the School of Electronic Engineering, Xidian University.
π€ Iβm passionate about Artificial General Intelligence (AGI) and π΅ Music. My research interests include Generative Wireless World Model and Learning-based Optimization (L2O).
πΈ My favorite artists include David Tao (ιΆεε), Khalil Fong (ζΉε€§ε).
π Letβs connect and talk about AI, R&B music, or anything cool! π
π Educations
- 2024.09 - Present, Ph.D. in School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, China.
- 2025.11 - Present, Visiting Ph.D. of School of Intelligent Systems Engineering, Sun Yat-Sen University (SYSU), Shenzhen, China.
- 2023.08 - 2024.08, M.Sc. in Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore.
- 2019.09 - 2023.06, B.S. in School of Electronic Engineering, Xidian University (XDU), Xiβan, China.
π₯ News
- 2025.12: Β ππ One paper is accepted by IEEE INFOCOM 2026!
- 2025.11: Β π§©π¬ I joined Sun Yat-Sen University
based in Shenzhen, China as a Visiting Ph.D. Student! - 2025.11: Β ππ One paper is accepted by IEEE GLOBECOM 2025!
- 2025.05: Β ππ One paper is accepted by ICML 2025!
- 2025.02: Β ππ One paper is accepted by IEEE Transactions On Wireless Communication!
- 2024.05: Β ππ‘ I joined Centre for Frontier AI Research (CFAR), AStar
based in Singapore as a Research Intern! - 2023.11: Β ππ One paper is accepted by IEEE ICC 2024!
- 2023.06: Β π―π I joined Shenzhen Research Institute of Big Data (SRIBD)
based in Shenzhen, China as a Research Intern! - 2023.02: Β ππ One challenge report paper is accepted by CVPR 2023!
π Selected Publications
RadCloudSplat: Scatterer-Driven 3D Gaussian Splatting with Point-Cloud Priors for Radiomap Extrapolation
Authors: Yiheng Wang, Ye Xue, Shutao Zhang, Hongmiao Fan, Tsung-Hui Chang
Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling
Authors: Yiheng Wang, Shutao Zhang, Ye Xue, Tsung-Hui Chang
GNN-based Structured Bayesian Inference for Multi-grid Localized Statistical Channel Modeling
Authors: Yiheng Wang, Ye Xue, Shutao Zhang, Tsung-Hui Chang
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems
Authors: Yeqing Qiu, Ye Xue, Akang Wang, Yiheng Wang, Qingjiang Shi, Zhi-Quan Luo
π Honors and Awards
- 2025.10 SRIBD Doctoral Scholarship (Gold Class), Shenzhen Research Institute of Big Data (SRIBD), Shenzhen, China.
- 2024.08 CFAR Internship Award for Research Excellence, Centre for Frontier AI Research (CFAR), AStar, Singapore.
- 2023.06 Overseas Study Scholarship for Outstanding Graduates, Xidian University, Xiβan, China.
πΌ Others
Reviewer
- IEEE Transactions on Big Data (TBD)
- IEEE The International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- IEEE The International Conference on Communication (ICC)
Teaching
- TA, DDA 6112 Stochastic Optimization, Fall 2025
- TA, DDA 2001 Introduction to Data Science (Optimization Part), Spring 2025
My Best Friendsβ Homepage
- Xiaobo Liu, a Ph.D. Student on Wireless Network Optimization in CUHK-Shenzhen
- Yeqing Qiu, a Ph.D. Student on Learning-based Optimize (L2O) in CUHK-Shenzhen
- Haochuan Li, a LLM Recomendation Scientist in Alibaba
- Gang Zhu, a LLM Safety Scientist in Wechat
- Yingxiao Wang, a Ph.D. Student on Mathematical Optimization in CUHK-Shenzhen