Yinqiu Liu (刘寅秋)

College of Computing and Data Science, Nanyang Technological University, Singapore.

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Contact me:

+65 88649318

yinqiu001@e.ntu.edu.sg

Hi! I am currently a PhD student at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore, supervised by Prof. Dusit Niyato (FIEEE).

Prior to this, I obtained a BEng degree at Nanjing University of Posts and Telecommunications, Nanjing, China, under the guidance of Prof. Kun Wang (SMIEEE, now a professor with the School of Microelectronics, Fudan University, Shanghai, China) and an MSc degree at the University of California, Los Angeles (UCLA), USA, under the guidance of Prof. Lei He (FIEEE).

My research is primarily centered around the utilization of Generative AI (GenAI) in intelligent networking. Our key objective is to explore “how the intelligent networks can support various AI-Generated Content (AIGC) services,” and “how GenAI and Large Language Model (LLM) can be used to improve the performance, security, and reliability of next-generation networking and communication systems.” This involves exploring the integration of various networking methodologies, including Semantic Communications, Blockchain, Deep Reinforcement Learning, and Metaverse. Please check our group at NTU for more details!

Our research has been published in prestigious networking and communications journals and conferences, including IEEE TMC, IEEE COMST, IEEE TWC, IEEE TII, IEEE IoTJ, ACM FPGA, IEEE ICC, IEEE Globecom, etc. Also, I serve as the reviewer/TPC member for various journals/conferences, including IEEE TIFS, IEEE COMST, IEEE IoTJ, ACM Computing Surveys, IEEE Globecom’ 24, IEEE/CIC ICCC’ 24, IEEE PIMRC’ 24, etc.

News

Jun 27, 2024 I attended the IEEE VTC-Spring’24 and 6G Summit’24 held in Singapore. Very happy to meet old friends and make new friends!
May 13, 2024 I served as a local volunteer for The ACM Web Conference held in Singapore.
May 6, 2024 One co-first author paper was accepted by IEEE COMST, in which we showcase how to perform efficient network optimization via Generative Diffusion Models (GDMs).
Apr 5, 2024 One first-author paper was accepted by IEEE TMC, in which we present a blockchain system to protect mobile AIGC services!
Dec 20, 2023 Our project got the FIRST PRIZE in the 2024 ComSoc Social Network Technical Committee (SNTC) Student Competition!
Nov 20, 2023 Our project, “Artificial Intelligence-driven Eyewear: Keys to Metaverse,” received an Honorary Mention in the 2023 ComSoc Student Competition “Communications Technology Changing the World.”

Selected publications

  1. TMC
    ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches
    Yinqiu Liu, Hongyang Du, Dusit Niyato, and 4 more authors
    IEEE Transactions on Mobile Computing, 2024
  2. TII
    LightChain: A Lightweight Blockchain System for Industrial Internet of Things
    Yinqiu Liu, Kun Wang, Yun Lin, and 1 more author
    IEEE Transactions on Industrial Informatics, 2019
  3. IoTJ
    BCmaster: A Compatible Framework for Comprehensively Analyzing and Monitoring Blockchain Systems in IoT
    Yinqiu Liu, Kai Qian, Kun Wang, and 1 more author
    IEEE Internet of Things Journal, 2022
  4. IoTJ
    Tornado: Enabling Blockchain in Heterogeneous Internet of Things Through a Space-Structured Approach
    Yinqiu Liu, Kun Wang, Kai Qian, and 2 more authors
    IEEE Internet of Things Journal, 2020
  5. ISJ
    Effective Scaling of Blockchain Beyond Consensus Innovations and Moore’s Law: Challenges and Opportunities
    Yinqiu Liu, Kai Qian, Kun Wang, and 1 more author
    IEEE Systems Journal, 2022
  6. WCM
    Blockchain-Empowered Lifecycle Management for AI-Generated Content Products in Edge Networks
    Yinqiu Liu, Hongyang Du, Dusit Niyato, and 5 more authors
    IEEE Wireless Communications, 2024
  7. WCM
    Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study
    Yinqiu Liu, Hongyang Du, Dusit Niyato, and 4 more authors
    IEEE Wireless Communications, 2024
  8. NET
    Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study
    Yinqiu Liu, Hongyang Du, Dusit Niyato, and 4 more authors
    IEEE Network, 2023
  9. COMST
    Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
    Hongyang Du*, Ruichen Zhang*, Yinqiu Liu*, and 10 more authors
    IEEE Communications Surveys & Tutorials, 2024
  10. TII
    HPCchain: A Consortium Blockchain System Based on CPU-FPGA Hybrid-PUF for Industrial Internet of Things
    Kai Qian*, Yinqiu Liu*, Xiaoming He, and 3 more authors
    IEEE Transactions on Industrial Informatics, 2023
  11. TGCN
    Fine-Grained Benchmarking and Targeted Optimization: Enabling Green IoT-Oriented Blockchain in the 6G Era
    Kai Qian*, Yinqiu Liu*, Chaoran Shu, and 2 more authors
    IEEE Transactions on Green Communications and Networking, 2023
  12. NET
    Interactive AI with Retrieval-Augmented Generation for Next Generation Networking
    Ruichen Zhang*, Hongyang Du*, Yinqiu Liu*, and 5 more authors
    IEEE Network, 2024
  13. ICC
    BCadvisor: Enabling Green Blockchain Systems Through Resource-Oriented Benchmarking
    Kai Qian*, Yinqiu Liu*, Yamin Han, and 1 more author
    In ICC 2022 - IEEE International Conference on Communications, 2022

Awards