The International Conference on Networking Systems of AI (INSAI2021) will be held in Shanghai, China during November 19-20, 2021.

INSAI2021 is jointly organized by Institute on Networking Systems of AI (INSAI),Fudan University Hainan University and University of Toronto, Canada. INSAI2021 aims to bring together researchers and scientists for discussing the cross-disciplinary research advances of NSAI (Networking Systems of Artificial Intelligence). INSAI2021 conference is particularly interested in innovative information technologies in dealing with the current global pandemic.


General Chairs

Liang Song,Fudan University

Laurence Tianruo Yang,Hainan University

Steering Committee

Jiangchuan (JC) LIU,Simon Fraser University

Chengxin Pang,Shanghai East-Bund Institute on Networking Systems of AI

Caiming Qiu,Huazhong University of Science and Technology

F. Richard Yu,Carleton University

Weijia Jia,United International College-Beijing Normal University-Hong Kong Baptist University

Xin Li,Duke University

Kostas Plataniotis,University of Toronto

Shugong Xu,Shanghai University

Xin Wang,Fudan University

Honglin Hu,University of Chinese Academy of Sciences

Technical Program Committee Chairs

Petros Spachos,Guelph University

Tom H. Luan,Xidian University

Technical Program Committee

Xinhua Zeng, Fudan University

Jieyu Lin, University of Toronto

Xian Wei, Haixi Institute of Chinese Academy of Sciences

Yijie Mao, Imperial College London

Saiqian Zhang, Harvard University

Xuan Tang, Haixi Institute of Chinese Academy of Sciences

Xiaoguang Zhu, Shanghai Jiao Tong University

Yuedong Xu, Fudan University

Guanhua Zhang, Fudan University

Zhiyun Lin, Hangzhou Dianzi University

Nan Cheng, Xidian University

Haitao Zhao, Nanjing University of Posts and Telecommunications

Xu Xia, China Telecom

Hui Feng, Fudan University

Tao Chen, University of Science and Technology of China

Yun Chen, Fudan University

Shunqing Zhang, Shanghai University

Yongbo Chen, ZTE Corporation

Songwen Pei, University of Shanghai for Science and Technology

Tingting Yang, Dalian Maritime University

Hongzi Zhu, Shanghai Jiao Tong University

Danilo Avola, Sapienza University

Nebojša Bačanin Džakula, Singidunum University

Salil Kanhere, The University of New South Wales


Call for paper

Important date

Final paper submission deadline

The International Conference on Networking Systems of AI (NSAI2021) explores emerging trends and novel ideas and concepts covering a broad range of topics in the area of Networking Systems of Artificial Intelligence. Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of submitted papers. Selected high quality papers will be further invited for submission to a journal special issue.

Submission Topics

Contributions are sought in the following areas:

1. B5G Physical Communications and Networks

- B5G AI empowered communications

- New waveforms, modulation, and multiple access

- L2 Multichip wireless transmissions

- Mobile/Edge/Cloud computing infrastructure

- Flexible optical transport

- Service customized communication and computing

2. Polymorphic Networks and Configurability

- Service customized virtual networks

- Multi-time-scale resource allocation and configuration

- Topology management

- Routing and load balancing

- Dynamic network slicing

- Security, accountability & privacy

3. Heterogenous Micro and Nano Electronics for IMCSC (Integrated Memory-Computing-Sensing- Communications)

- Mimic-state wafer and chiplet designs

- Next generation CPU based on RISC-V architecture

- Next generation memory-computing for AI computing

- Heterogenous IMCSC architecture and technology

- NSAI based communications and MEMS

4. AI Empowered Smart Services and Applications

- Distributed AI computing

- Online evolutive learning based AI systems

- Smart services and APIs

- New AAA techniques

- NSAI applications and trails

5. Ubiquitous Brain Networks

- AI empowered Brain-Computer interface

- Applications of UBN


Submission Guidelines

All submissions must be in English, adhere to the template format in the conference website, and must be uploaded through Conference Paper Submission System.

Authors must complete their submissions before the designated deadlines. Late submissions will not be considered. The initial and final submissions should be more than 4 pages, and must be in editable format. Hardcopy are not accepted.

The latest information can be found in the conference website.

Best Paper Competitions

The accepted and presented papers will be evaluated, based on content and presentation, by the Technical Program and Awards Committees for consideration of INSAI2021 Best Paper and Best Student Paper Awards.

Review Instructions

NSAI2021 follows the highest standards of publication ethics and takes all possible procedures against any publication misconduct. This Conference does not accept any type of plagiarism, which means that any author replicating a significant part of another's work without acknowledging him/her or passing another's work off as his/her own are not tolerated and not published.

All authors submitting their works to the NSAI2021 for publication as original works confirm that the submitted papers are their own contributions and have not been copied in whole or in part from other works.

Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of each accepted submission. The NSAI2021guarantees that the entire peer review and publication process is meticulous and objective. Furthermore, all works not in accordance with these standards will be removed from the publication if malpractice is revealed at any time even after the publication. Every case of suspected plagiarism or duplicate publishing will be reported.

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Important Date
  • Conference Date

    Nov 19



    Nov 20


  • Sep 30 2021

    Final Paper Deadline

Sponsored By
Fudan University, China
Hainan University, China
Institute on Networking Systems of AI
University of Toronto, Canada
Contact Information