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I'm a Ph.D. student in Computer Science at UC San Diego, advised by Prof. Xinyu Zhang.
My research bridges Differentiable Rendering, Electromagnetic (RF) Simulation, and Wireless System Design — targeting physically accurate channel modeling and next-generation 6G wireless applications.
Previously, I interned at Microsoft Research Asia with Prof. Lili Qiu. Before joining UCSD, I worked at META Lab (CU Denver) with Prof. Zhengxiong Li. I earned my B.S. in Computer Science with honors from the University at Buffalo in 3 years (2021), where I was a research assistant at ESC Group advised by Prof. Wenyao Xu.
| Venue | Paper |
|---|---|
| NSDI 2026 | From Bits to Tokens: Knowledge-Driven Generative Communication of Multimodal Data |
| MobiCom 2026 | Physically Accurate Differentiable Inverse Rendering for Radio Frequency Digital Twin |
| MobiSys 2025 | You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality |
| CVPR 2025 | Radio Frequency Ray Tracing with Neural Object Representation |
| SenSys 2024 | RFCanvas: Modeling RF Channel by Fusing Visual Priors and Few-shot RF Measurements |
| SenSys 2023 | RF Genesis: Zero-Shot Generalization of mmWave Sensing through Simulation-Based Data Synthesis |
| NDSS 2023 | MetaWave: Attacking mmWave Sensing with Meta-material-enhanced Tags |
WiTwin.AI — An open-source platform for differentiable electromagnetic simulation and wireless digital twin. Creator & Developer.
- ACM MobiSys 2025 Best Artifacts Honorable Mention
- IEEE ICHI 2022 Best Student Paper Award
- ACM SenSys 2019 Best Paper Award
For full publications and more, visit xingyuchen.me