Network & Artificial Intelligence System Lab

The Chinese University of Hong Kong, Shenzhen

We focus on the intersection of Next-Gen Networking, AI for Science, and Distributed Systems.

About NAIS Lab

The Network and Artificial Intelligence System (NAIS) Lab is based on the School of Science and Engineering (SSE) and the Future Network of Intelligence Institute (FNii) at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), led by Dr. Fangxin Wang.

Our mission is to build intelligent systems that bridge the physical and digital worlds. We aim to identify and solve critical challenges in Next-Generation Networking, AI for Science, and Distributed Systems, developing scalable and efficient infrastructure for the intelligent era.

Recent News

View All
One paper MetaKube accepted by WWW 2026.
Jan 2026
One paper Morphe accepted by NSDI 2026.
Dec 2025
Two papers accepted by AAAI 2026.
Nov 2025
Prof. Wang acts as Area Chair of ACM Multimedia.
Mar 2025
SRBF-Gaussian accepted by IEEE VR.
Jan 2025
NetLLM accepted by ACM SIGCOMM 2024.
May 2024

Research Interests

Multimedia Networking & Systems

Developing next-generation immersive video streaming systems with high fidelity and low latency.


  • Immersive Video Streaming: Delivering high-quality streaming for on-demand, live, realtime and immersive services (optimizing latency, bandwidth, loss).
  • 3D Volumetric Video System: Building holistic, practical, light-weight 3D volumetric video systems for fully interactive and photorealistic experiences.

AI for Networking & Large Models

Applying Large Language Models (LLMs) and Foundation Models to solve complex networking problems.


  • LLM for Specific Tasks: Optimize LLM training and inference, and adapt LLM for communication and networking tasks (network decision, operation, modelling, agentic LLM).
  • Distributed LLM: Improve distributed LLM training, updating, inference (federated LLM, privacy/security, collaboration).
  • Multimodal Large Model: Develop multimodal LM to process text, image, video, graph, etc., and conduct multimodal LM-based video understanding.

Join our Group

We are actively looking for self-motivated Postdocs, PhDs, MPhils, and RAs to join our team.

View Openings

Projects & Resources

Our ongoing research, system demonstrations, and open-source datasets.

3DGS CUHKSZ
Live Demo

3DGS Campus

High-fidelity digital twin of the CUHK-Shenzhen campus, reconstructed using 3D Gaussian Splatting from extensive scanner and drone aerial data.

Team

Principal Investigator

Fangxin Wang

Fangxin Wang

Assistant Professor

Research Interests: AI for Networking and System, Large Models, Multimedia Networking

PhD Students

Panlong Wu

2022-

BS from SUSTech

Zhicheng Liang

2023-

MS from HK CityU

Zengli Li

2024-

BS from CSU

Tianyi Gong

2024-

BS from SWJTU

Wei Sun

2025-

MS from BJTU

Jiaxuan Chen

2025-

MS from UESTC

Boyan Li

2025-

MS/BS from CUHKSZ

MPhil Students

Zijian Cao

2024-

BS from SCU

Yifei Zhong

2024-

BS from BJTU

Ting Wang

2024-

BS from CUHKSZ

Yuhang Zhang

2025-

BS from BIT

Zixing Zhang

2025-

BS from SWJTU

Ruijun Mao

2025-

BS from TYUT

Research Assistants

Xize Duan

UG

CUHK-Shenzhen

Alumni

Dayou Zhang

PhD 2025 → Asst. Prof @ CNU

Haowen Yang

MPhil 2025 → Versee Tech

Xianda Wang

MPhil 2025 → PhD @ SFU

Yongting Chen

MPhil 2025 → PhD @ PKU

Duo Wu

MPhil 2024 → PhD @ THU

Kaiyuan Hu

MPhil 2024 → PhD @ McGill

Chenrui Wu

MPhil 2023 → PhD @ ZJU&SFU

Yili Jin

MPhil 2023 → PhD @ McGill

Rongyu Zhang

MPhil 2023 → PhD @ PolyU&NJU

Yun Chen

MPhil 2023 → Intel

Ruoyu Zhang

MPhil 2023 → Bilibili

Yaqi Qiao

BS 2025 → MS @ UIUC

Kaiying Han

BS 2025 → MS @ UCSD

Junhua Liu

BS 2024 → PhD @ USC

Kai Shen

BS 2022 → PhD @ UofT

Selected Publications

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