Hi, I am Hongyang Du ( 杜泓阳 )

I am going to obtain my Ph.D. degree with the School of Computer Science and Engineering, Energy Research Institute @ NTU, Nanyang Technological University, Singapore, in 2024, under the Interdisciplinary Graduate Program. My research is supervised by Prof. Dusit Niyato. Prior to this, I completed my B.Sc. degree at Beijing Jiaotong University, Beijing, China, in 2021, under the guidance of Prof. Jiayi Zhang.

I now serve as the Editor-in-Chief Assistant of IEEE Communications Surveys and Tutorials (IEEE COMST). In 2022, the impact factor of IEEE COMST reached 35.6, which is the highest one in all IEEE journals/magazines. To further promote IEEE COMST, I am helping to run some social accounts, including Linkedin (@IEEE Communications Surveys And Tutorials), Twitter (@IEEECOMST), and WeChat Account (@IEEECOMST). Thanks for following!

My research is primarily centered around the utilization of Generative AI in Intelligent networks. Our key objective is to explore "how the intelligent networks can support various AI-Generated Content (AIGC) services", and "how generative AI as a cutting-edge machine learning tool can be used to improve the intelligent network performance, security, and reliability". This involves exploring the integration of various networking methodologies, including Semantic Communications, Resource Allocation, Integrated Sensing and Communications, and Metaverse. Please refer to this repository for the latest updates of Generative AI-related papers from our group!

Individually, our strength may have its limits; collectively, our potential is boundless. If you are interested to collaborate with me or just have a chat, please feel free to email me (hongyang001@e.ntu.edu.sg)! I am always happy to discuss with / learn from different minds ^_^!

Currently, I am actively exploring job opportunities.


News

  1. [Apr/2024] We will organize a workshop “Empowering Wireless Communications and Networking with Generative AI” in IEEE/CIC International Conference on Communications in China (ICCC 2024), welcome to submit papers!
  2. [Mar/2024] We will give a tutorial “Generative Artificial Intelligence-empowered Networks: Optimization and Applications” in IEEE/CIC International Conference on Communications in China (ICCC 2024), welcome to participate!
  3. [Dec/2023] I am honored to receive the Singapore Data Science Consortium (SDSC) Dissertation Research Fellowship. This programme provides ten cash awards of S$10,000 for doctoral students at Singapore universities.
  4. [Dec/2023] My two projects got the FIRST PRIZE and SECOND PRIZE in the 2024 ComSoc Social Network Technical Committee (SNTC) Student Competition, respectively. We will give presentations in IEEE ICC 2024. See you in Denver, CO, USA!
  5. [Nov/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.” As the team leader, I am happy to witness our project to be recognized as one of the top 16 projects globally.
  6. [Nov/2023] I am honored to receive the IEEE Signal Processing Society Scholarship, as one of the inaugural class of recipients!
  7. [Oct/2023] We released the code for our generative-AI for decition paper “Generative AI-aided Optimization for AI-Generated Content (AIGC) Services in Edge Networks”. The code is available here.
  8. [Sept/2023] We released the code for our generative diffusion model tutorial paper “Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization”. The code is available here.
  9. [Jun/2023] We released the code for our IEEE JSAC paper “AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing”. The code is available here.
  10. [Jun/2023] We released the code for our IEEE JSAC paper “Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services”. The code is available here.
  11. [Jun/2023] It’s a great honour to have been invited by Queen Mary University of London to give a talk about Exploring the Role of Generative AI in Wireless Networks: Applications, Optimization, and Challenges!
  12. [Jun/2023] I had the pleasure of participating in the IEEE International Conference on Communications in Rome, Italy. Reconnecting with familiar faces and forging new professional connections has been an enriching experience!
  13. [May/2023] I am delighted to be invited by the Future Network of Intelligence Institute in The Chinese University of Hong Kong-Shenzhen to give a talk about Generative AI in Intelligent Networks! The slides are available here.
  14. [May/2023] We released the code for our paper “Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks”. The code is available here.
  15. [Apr/2023] I had the pleasure of visiting University of Technology Sydney, University of Sydney, and University of New South Wales in Australia. Relaxing days!
  16. [Apr/2023] Two first author JSAC papers “AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing,” and “Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding,” are accepted!
  17. [Mar/2023] The definition of AI-Generated Content (AIGC) in our research paper is identified as the “AIGC definition” in Google search. Interesting ^_^
  18. [Feb/2023] One first author JSAC paper “Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services,” is accepted!
  19. [Jan/2023] I visited Japan and had the opportunity to explore the wonderful Tohoku University. Happy to make many new friends!
  20. [Dec/2022] I visited Sungkyunkwan University in Korea, hosted by Prof. Dong In Kim. It was a memorable month!
  21. [Nov/2022] Our paper titled “Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges” is accepted by IEEE COMST (IF: 33.84, Q1)!
  22. [Nov/2022] I am honored to receive the IEEE Daniel E. Nobel Fellowship Award (One person each year)!
  23. [Oct/2022] Our paper titled “Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis” is accepted by IEEE JSAC (IF: 13.08, Q1)!
  24. [Jun/2022] I visited Chiang Mai University in Thailand, hosted by Prof. Maggie. Very happy time!
  25. [Mar/2022] Our paper titled “Performance and Optimization of Reconfigurable Intelligent Surface Aided THz Communications” is accepted by IEEE TCOM!
  26. [Feb/2022] Our paper titled “Performance Analysis and Optimization for Jammer-Aided Multiantenna UAV Covert Communication” is accepted by IEEE JSAC (IF: 13.08, Q1)!
  27. [Jan/2022] I am honored to be recognized as the Exemplary Reviewer of the IEEE TCOM, 2021!
  28. [Aug/2021] I joined the School of Computer Science and Engineering, Nanyang Technological University (NTU) as a Ph.D. student. A new journey began!

Highlighted Ongoing Work

  1. Hongyang Du, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Yijing Lin, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shuguang Cui, Bo Ai, Haibo Zhou, and Dong In Kim. “Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization.”, submitted to IEEE Communications Surveys & Tutorials, Minor Revision, 2023. This paper serves as a comprehensive tutorial on applying GDMs in network optimization tasks, with a series of case studies, showing the integration of GDMs with Deep Reinforcement Learning (DRL), incentive mechanism design, Semantic Communications (SemCom), Internet of Vehicles (IoV) networks, etc. Code.
  2. Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Ping Zhang, Shuguang Cui, Xuemin Shen, Shiwen Mao, Zhu Han, Abbas Jamalipour, H Vincent Poor, Dong In Kim. ``The Age of Generative AI and AI-Generated Everything.’’, submitted to IEEE Network (IF: 9.3), Major Revision, 2023.
    • Invited Paper

  3. Hongyang Du, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shuguang Cui, Xuemin Shen, Dong In Kim. “User-Centric Interactive AI for Distributed Diffusion Model-based AI-Generated Content.”, submitted, 2023. With a distributed generative diffusion model-based AIGC framework, we propose an Interactive AI (IAI) approach, i.e., Reinforcement Learning With Large Language Models Interaction (RLLI), which utilizes Large Language Model (LLM)-empowered generative agents to replicate users interaction, providing real-time and subjective QoE feedback that reflects a spectrum of user personalities.

Selected First-author Papers

For all publications, please refer to this or my google scholar.

  1. Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, and Dong In Kim, “AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing,” IEEE Journal on Selected Areas in Communications (IF: 16.4, Q1), Accepted, 2023. We analyze the performance of full-duplex D2D communications. To facilitate semantic information sharing among users, we design a contract theoretic AI-generated incentive mechanism that generates the optimal contract design, outperforming two DRL algorithms. Code.
    • Selected by IEEE JSAC Popular Documents - October 2023
  2. Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Junshan Zhang, and Xuemin (Sherman) Shen, “Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding,” IEEE Journal on Selected Areas in Communications (IF: 16.4, Q1), Accepted, 2023. We propose the inverse semantic communications as a new paradigm. Using the sensing data collected from real-world, we show that our framework can reduce the data volume by 95% compared to that before encoding, without affecting the accomplishment of sensing tasks. Code.
    • Selected by IEEE JSAC Popular Documents - August 2023
  3. Hongyang Du, Jiazhen Liu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Junshan Zhang, and Dong In Kim, “Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services,” IEEE Journal on Selected Areas in Communications (IF: 16.4, Q1), Accepted, 2023. We propose a novel metric named Meta-Immersion that incorporates both the objective KPIs and subjective feelings of Metaverse users. We develop an attention-aware rendering capacity allocation scheme to improve QoE in xURLLC. Code.
    • Selected by IEEE JSAC Popular Documents - July 2023
  4. Hongyang Du, Dusit Niyato, Yuanai Xie, Yanyu Cheng, Jiawen Kang, and Dong In Kim, “Performance Analysis and Optimization for Jammer-Aided Multi-Antenna UAV Covert Communication,” IEEE Journal on Selected Areas in Communications (IF: 16.4, Q1), vol. 40, pp. 2962-2979, Oct, 2022. The first study that analyzes a jammer-aided UAV covert communication system over composite fading and shadowing with accurate and tractable generalized channel models.
  5. Hongyang Du, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, Huawei Huang, and Shiwen Mao. “Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services.”, IEEE Transactions on Mobile Computing, Accepted, 2023. We propose a diffusion model-based AI-generated optimal decision (AGOD) algorithm, which can generate the optimal ASP selection decisions. Code.
  6. Hongyang Du, Jiayi Zhang, Ke Guan, Dusit Niyato, Huiying Jiao, Zhiqin Wang, and Thomas Kürner, “Performance and Optimization of Reconfigurable Intelligent Surface Aided THz Communications,” IEEE Transactions on Communications (IF: 8.3, Q2), vol. 70, pp. 3575-3593, May, 2022 We first prove that the small-scale amplitude fading of THz signals can be accurately modeled by the fluctuating two-ray distribution based on two THz signal measurement experiments conducted in a variety of different scenarios.
  7. Hongyang Du, Jiayi Zhang, Julian Cheng, and Bo Ai, “Millimeter wave communications with reconfigurable intelligent surfaces: Performance analysis and optimization,” IEEE Transactions on Communications (IF: 8.3, Q2), vol. 69, no. 4, pp. 2752–2768, Apr. 2021. We made a comprehensive comparison between the RIS-aided and AF relay systems over realistic mmWave channels.
  8. Hongyang Du, Jiayi Zhang, Kostas P. Peppas, Hui Zhao, Bo Ai, and Xiaodan Zhang. “On the Distribution of the Ratio of Products of Fisher-Snedecor F Random Variables and Its Applications.” IEEE Transactions on Vehicular Technology (IF: 6.8, Q2), 69, no. 2 (2019): 1855-1866. We derive exact closed-form expressions for the main statistical characterizations of the ratio of products of F-distributed random variables.
  9. Hongyang Du, Jiayi Zhang, Julian Cheng, and Bo Ai, ``Sum of Fisher-Snedecor F Random Variables and Its Applications,’’ IEEE Open Journal of the Communications Society (IF: 7.9), vol. 1, pp. 342–356, Mar. 2020.
  10. Hongyang Du, Jiawen Kang, Dusit Niyato, Jiayi Zhang, and Dong In Kim. ``Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges.” IEEE Vehicular Technology Magazine (IF: 8.1), vol. 17, pp. 54-64, May 2022.
  11. Hongyang Du, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, and Dong In Kim. “Enabling AI-generated content (AIGC) services in wireless edge networks.” IEEE Wireless Communications (IF: 12.9, Q1), 2023. We present the AIGC-as-a-service (AaaS) concept and discuss the challenges in deploying AaaS at the edge networks.
  12. Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Mohsen Guizani, and Dong In Kim. ``Rethinking Wireless Communication Security in Semantic Internet of Things,’’, IEEE Wireless Communications, (IF: 12.9), vol. 30, pp. 36-43, Jun. 2023.
  13. Hongyang Du, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, and H. Vincent Poor. “Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks.”, IEEE Network (IF: 9.3, Q1), 2023. We proposes a novel collaborative distributed diffusion-based framework for AI-generated content (AIGC) to address energy and privacy challenges. Code.
  14. Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Xuemin Sherman Shen, and Dong In Kim. ``Exploring Attention-aware Network Resource Allocation for Customized Metaverse Services’’, IEEE Network (IF: 9.3), Early Access, 2022.
  15. Hongyang Du, Bohao Ma, Dusit Niyato, Jiawen Kang, Zehui Xiong, and Zhaohui Yang. ``Rethinking quality of experience for metaverse services: A consumer-based economics perspective’’ IEEE Network (IF: 9.3), Early Access, 2022.
  16. Hongyang Du, Ruichen Zhang, Dusit Niyato, Jiawen Kang, Zehui Xiong, and Dong In Kim, ``Reinforcement Learning With Large Language Models (LLMs) Interaction For Network Services’’ in Proceedings of International Conference on Computing, Networking and Communications (ICNC), Big Island, Hawaii, USA, 19-22 February 2024.
    • Invited paper
  17. Hongyang Du, Guangyuan Liu, Dusit Niyato, Jiayi Zhang, Jiawen Kang, Zehui Xiong, Bo Ai, and Dong In Kim, ``Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts’’ in Proceedings of IEEE International Conference on Acoustics, Speech, \& Signal Processing (ICASSP), Seoul, South Korea, 14-19 April 2024.
  18. Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, and Boon Hee Soong. ``Performance Analysis of Free-Space Information Sharing in Full-Duplex Semantic Communications.’’ in Proceedings of IEEE GLOBECOM, Kuala Lumpur, Malaysia, 4-8 December 2023.
  19. Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Junshan Zhang, and Xuemin Sherman Shen. ``Lightweight Wireless Sensing Through RIS and Inverse Semantic Communications.’’ In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, UK, 26–29 March 2023.
  20. Hongyang Du, Dusit Niyato, Yuan-ai Xie, Yanyu Cheng, Jiawen Kang, and Dong In Kim. ``Covert Communication for Jammer-aided Multi-Antenna UAV Networks.’’ in Proceedings of IEEE ICC, Seoul, South Korea, 16-20 May 2022.
  21. Hongyang Du, Dusit Niyato, Jiawen Kang, Dong In Kim, and Chunyan Miao. ``Optimal Targeted Advertising Strategy For Secure Wireless Edge Metaverse.’’ in Proceedings of IEEE GLOBECOM, Rio de Janeiro, Brazil, from 4-8 December 2022.

Selected Collaborative Papers

For all publications, please refer to this or my google scholar.

  1. Jiayi Zhang, Hongyang Du, Peng Zhang, Julian Cheng, and Liang Yang, “Performance Analysis of 5G Mobile Relay Systems for High-Speed Trains,” IEEE Journal on Selected Areas in Communications (IF: 16.4, Q1), vol. 638, no. 12, pp. 2760-2772, Dec. 2020. We proposed a framework to analyze the mobile relay system over mixed κ-μ and FTR fading channels for High-Speed Trains communications.
  2. Jiawen Kang, Hongyang Du, Zonghang Li, Zehui Xiong, Shiyao Ma, Dusit Niyato, and Yuan Li. “Personalized Saliency-Based Task-Oriented Semantic Communications: Architecture Design and Performance Analysis.” IEEE Journal on Selected Areas in Communications (IF: 16.4, Q1), 41, no. 1: 186-201, 2022. We have first presented an energy-efficient task-oriented semantic communication framework with an efficient image retrieval manner based on a triple-based scene graph.
    • First Price of Outstanding Papers of Computer Academy of Guangdong (China)
    • IEEE JSAC Popular Documents December 2023
  3. Jiacheng Wang, Hongyang Du, Dusit Niyato, Mu Zhou, Jiawen Kang, Zehui Xiong, and Abbas Jamalipour. “Through the Wall Detection and Localization of Autonomous Mobile Device in Indoor Scenario.” IEEE Journal on Selected Areas in Communications (IF: 16.4, Q1), to appear, 2023. We propose a channel state information (CSI) based system for through-the-wall (TTW) passive AMD detection and localization.
  4. Jiayi Zhang, Hongyang Du, Qiang Sun, Bo Ai, and Derrick Wing Kwan Ng. “Physical layer security enhancement with reconfigurable intelligent surface-aided networks.” IEEE Transactions on Information Forensics and Security (IF: 6.8, Q1), 16:3480-3495, 2021. We study the physical layer security of the downlink RIS-aided transmission framework for randomly located users in the presence of a multi-antenna eavesdropper.
  5. Wanting Yang, Hongyang Du, Ziqin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xuemin Sherman Shen, and Chunyan Miao. “Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges”, IEEE Communications Surveys & Tutorials (IF: 35.6, Q1), Nov. 2022. A comprehensive survey of semantic communications for 6G network.
  6. Minrui Xu, Hongyang Du (Corresponding Author), Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han et al. ``Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services.’’ IEEE Communications Surveys & Tutorials (IF: 35.6), vol. 25, pp. 213-250, 2023.
  7. Zhe Wang, Jiayi Zhang, Hongyang Du, Dusit Niyato, Shuguang Cui, Bo Ai, Mérouane Debbah, Khaled B. Letaief, and H. Vincent Poor. ``A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications.” IEEE Communications Surveys & Tutorials (IF: 35.6, Q1), 2024 A comprehensive survey of research on XL-MIMO wireless systems.
  8. Jiacheng Wang, Hongyang Du, Zengshan Tian, Dusit Niyato, Jiawen Kang, and Xuemin Shen. “Acceleration Estimation of Wireless Signal Propagation Path Length Changes for Indoor Integrated Sensing and Communications.” IEEE Transactions on Wireless Communications (IF: 10.4, Q1), 2024. This paper proposes DP-AcE, a CSI-based DPLC acceleration estimation algorithm..
  9. Jiacheng Wang, Hongyang Du, Zengshan Tian, Dusit Niyato, Jiawen Kang, and Xuemin Shen. “Semantic-aware Sensing Information Transmission For Metaverse: A Contest Theoretic Approach.” IEEE Transactions on Wireless Communications (IF: 10.4, Q1), 2023. A semantic transmission framework for transmitting sensing information from the physical world to Metaverse.
  10. Jiacheng Wang, Hongyang Du, Zengshan Tian, Dusit Niyato, Jiawen Kang, and Xuemin Shen. “A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks.” IEEE Transactions on Mobile Computing (IF: 7.9, Q1), 2023. A novel framework that utilizes wireless perception to guide GAI (WiPe-GAI) for providing digital content generation service.
  11. Ismail Lotfi, Hongyang Du, Dusit Niyato, Sumei Sun, and Dong In Kim. “On the Robustness of Channel Allocation in Joint Radar and Communication Systems: An Auction Approach.” IEEE Transactions on Mobile Computing (IF: 7.9, Q1), 2023. A covert JRC system that minimizes the detection probability by wardens.
  12. Yijing Lin, Zhipeng Gao, Hongyang Du, Jiawen Kang, Dusit Niyato, Qian Wang, Jingqing Ruan, and Shaohua Wan. “DRL-based Adaptive Sharding for Blockchain-based Federated Learning.” IEEE Transactions on Communications (2023). An adaptive blockchain-enabled FL framework for ITS based on blockchain sharding.
  13. Xiaoxu Ren, Hongyang Du, Chao Qiu, Tao Luo, Zejun Liu, Xiaofei Wang, and Dusit Niyato, [“Dual-Level Resource Provisioning and Heterogeneous Auction for Mobile Metaverse,”] IEEE Transactions on Mobile Computing (IF: 7.9, Q1), 2024. This paper proposes a dual-level resources trading approach for mobile Metaverse based on blockchain.

Awards

  1. IEEE Daniel E. Nobel Fellowship Award, 2022
    IEEE society-level award from IEEE Vehicular Technology Society
    • Only one person is selected globally each year
  2. IEEE Signal Processing Society Scholarship, 2023
    IEEE society-level award from IEEE Signal Processing Society
  3. Singapore Data Science Consortium (SDSC) Dissertation Research Fellowship, 2023
    • Only ten students are selected in Singapore each year
  4. Chinese Government Award for Outstanding Students Abroad, 2022
    National-level award from China
    • Prestigious Award presented to 650 Ph.D. students worldwide each year
  5. First Prize in the 2024 ComSoc Social Network Technical Committee (SNTC) Student Competition
    • Project leader of ``Enhancing Metaverse Social Networking via User-Centric AI-Driven Eyewear''
  6. Second Prize in the 2024 ComSoc Social Network Technical Committee (SNTC) Student Competition
  7. Honorary Mention in the 2023 ComSoc Student Competition ``Communications Technology Changing the World.’’, 2023
    IEEE society-level award from IEEE Communications Society
  8. Exemplary Reviewer of the IEEE TRANSACTIONS ON COMMUNICATIONS, 2021
  9. Exemplary Reviewer of the IEEE COMMUNICATIONS LETTERS, 2021
  10. Research Scholarship, NTU, 2021-2025
  11. National Scholarship, Ministry of Education of China, 2020
    National-level award from China
  12. National Scholarship, Ministry of Education of China, 2018
    National-level award from China

Academic Services

  1. Assistant to the Editor-in Chief, IEEE Communications Surveys & Tutorials 2022, 2023 and 2024
  2. TPC Member, IEEE PIMRC 2024, Track 2 - Networking & MAC
  3. Session Chair, IEEE Globecom 2023 Cognitive Radio and AI-Enabled Networks
  4. TPC Member, IEEE ICC 2024, CRAIN Symposium (Cognitive Radio and AI-Enabled Networks)
  5. TPC Member, IEEE WCNC 2024, Track 3 – Machine Learning and Optimization for Wireless Systems
  6. TPC Member, IEEE WCNC 2024, Track 4 – Emerging Technologies, Standards, and Applications
  7. TPC Member, IEEE WCNC 2024, Workshop on The Impact of Large Language Models on 6G Networks
  8. TPC Member, VTC2023-Fall: Hong Kong, Machine Learning and AI for Communications
  9. TPC Member, VTC2023-Fall: Hong Kong, Electric Vehicles, Vehicular Electronics and Intelligent Transportation
  10. TPC Member, VTC2023-Fall: Hong Kong, Recent Results and Workshops
  11. TPC Member, IEEE WCNC 2023, Track 3 – Machine Learning and Optimization for Wireless Systems
  12. TPC Member, IEEE WCNC 2022, Track 2 – Networking and MAC
  13. Reviewer: IEEE COMST, JSAC, TMC, TWC, TIFS, TCOM, TVT, WCM, IoTJ, Network, WCL, CL, ICLR, and more.

Teaching

  1. SC1005 Digital Logic, Fall 2023
  2. SC2103 Digital Systems Design, Spring 2023
  3. CE3006 Digital Communications, Fall 2022


“生活中有很多的不如意,如果一不开心,就寄希望于当初,那你永远不会开心。
幻境再美终是梦,珍惜眼前始为真,莫使金樽空对月,举杯幸会有缘人。”

———《武林外传》