Skip to content
View Asixa's full-sized avatar
🌏
🌏
  • University of California San Diego
  • United States, China

Highlights

  • Pro

Organizations

@THICOS-Studio @witwin-ai

Block or report Asixa

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Asixa/README.md

Xingyu Chen | 陈星宇

Homepage  ·  Email  ·  Google Scholar


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.

Selected Publications

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

Open-Source Project

WiTwin.AI — An open-source platform for differentiable electromagnetic simulation and wireless digital twin. Creator & Developer.

Selected Awards

  • 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

visit count

Pinned Loading

  1. RF-Genesis RF-Genesis Public

    RF Genesis: Zero-Shot Generalization of mmWave Sensing through Simulation-Based Data Synthesis and Generative Diffusion Models (SenSys'23)

    Python 93 9

  2. YORO-VR/YORO-VR YORO-VR/YORO-VR Public

    You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality (MobiSys'25)

    C# 51 8

  3. RayD RayD Public

    RayD: Minimalist Differentiable Ray Tracing Infrastructures for Dr.JIT, PyTorch, and Slang Shader Language.

    Python 5 1

  4. Mini-Differentiable-RF-Digital-Twin Mini-Differentiable-RF-Digital-Twin Public

    Demo: Physically Accurate Differentiable Inverse Rendering for Radio Frequency Digital Twin (MobiCom'26)

    Jupyter Notebook 6 1

  5. witwin-ai/witwin-maxwell witwin-ai/witwin-maxwell Public

    Differentiable full-wave electromagnetic solver built with Slang on GPU, native to PyTorch.

    Python 6 1

  6. witwin-ai/witwin-radar witwin-ai/witwin-radar Public

    Differentiable Radar Simulator for Wireless Sensing Research

    Python 3 1