Yinqiu Liu (刘寅秋)
College of Computing and Data Science, Nanyang Technological University, Singapore.

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! |
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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
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TMCProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic ApproachesIEEE Transactions on Mobile Computing, 2024
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TIILightChain: A Lightweight Blockchain System for Industrial Internet of ThingsIEEE Transactions on Industrial Informatics, 2019
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IoTJBCmaster: A Compatible Framework for Comprehensively Analyzing and Monitoring Blockchain Systems in IoTIEEE Internet of Things Journal, 2022
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IoTJTornado: Enabling Blockchain in Heterogeneous Internet of Things Through a Space-Structured ApproachIEEE Internet of Things Journal, 2020
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ISJEffective Scaling of Blockchain Beyond Consensus Innovations and Moore’s Law: Challenges and OpportunitiesIEEE Systems Journal, 2022
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WCMBlockchain-Empowered Lifecycle Management for AI-Generated Content Products in Edge NetworksIEEE Wireless Communications, 2024
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WCMDeep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case StudyIEEE Wireless Communications, 2024
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NETOptimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case StudyIEEE Network, 2023
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COMSTEnhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network OptimizationIEEE Communications Surveys & Tutorials, 2024
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TIIHPCchain: A Consortium Blockchain System Based on CPU-FPGA Hybrid-PUF for Industrial Internet of ThingsIEEE Transactions on Industrial Informatics, 2023
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TGCNFine-Grained Benchmarking and Targeted Optimization: Enabling Green IoT-Oriented Blockchain in the 6G EraIEEE Transactions on Green Communications and Networking, 2023
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NETInteractive AI with Retrieval-Augmented Generation for Next Generation NetworkingIEEE Network, 2024
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ICCBCadvisor: Enabling Green Blockchain Systems Through Resource-Oriented BenchmarkingIn ICC 2022 - IEEE International Conference on Communications, 2022