Welcome to 6G@HK
AT Track 3: Wireless Networking Technology
Leader: Prof. Song GUO
Co-Leader: Prof. Qian ZHANG
Faculty Members: Prof. Khaled BEN LETAIEF, Prof. Vincent Kin Nang LAU, Prof. Kaibin HUANG, Prof. Jiaya JIA
Presentation by Prof. Song GUO on the progress of AT Track 3 during the mid-cycle review on-site visit on our 6G AoE Project in Oct 2024
Journal Papers (AT Track 3)
[1] Xiaoqi Wang, Hongyang Du, Yuehong Gao*, Jiayi Zhang, Dusit Niyato, and Khaled B. Letaief, “Secure Body-Centric Internet of Things Networks: Physical layer Security vs Covert Communication,” IEEE Transactions on Wireless Communications, Vol. 3, no. 10, pp. 12731-12748, Oct 2024. [paper]
[2] Quan Chen, Song Guo, Kaijia Wang, Wenchao Xu, Jing Li, Zhipeng Cai, Hong Gao, and Albert Zomaya, “Towards Real-Time Inference Offloading with Distributed Edge Computing: the Framework and Algorithms,” IEEE Transactions on Mobile Computing, Vol. 23, no. 7, pp. 7552-7571, Jul 2024. [paper]
[3] Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Zichuan Xu, Wenzheng Xu, “AoI-Aware User Service Satisfaction Enhancement in Digital Twin-Empowered Edge Computing,” IEEE/ACM Transactions on Networking, Vol. 32, no. 2, pp. 1677-1690, Apr. 2024. [paper]
[4] Chuan Zhang, Xingqi Luo, Jinwen Liang, Ximeng Liu, Liehuang Zhu, and Song Guo, “POTA: Privacy-Preserving Online Multi-Task Assignment with Path Planning,”IEEE Transactions on Mobile Computing, Vol. 23, no. 5, pp. 5999-6011, May. 2024. [paper]
[5] Yuan Zeng, Yi Gong, Jiawei Liu, Shangao Lin, Zidong Han, Ruoxiao Cao, Kaibin Huang, Khaled Ben Letaief, “Multi-Channel Attentive Feature Fusion for Radio Frequency Fingerprinting,” IEEE Transactions on Wireless Communications, Vol. 23, no. 5, pp. 4243-4254, May 2024. [paper]
[6] Shijing Yuan, Beiyu Dong, Hongtao Lv, Hongze Liu, Hongyang Chen, Chentao Wu, Song Guo, Yue Ding, Jie Li, “Adaptive Incentivize for Cross-Silo Federated Learning in IIoT: A Multi-agent Reinforcement Learning Approach,” IEEE Internet of Things Journal, Vol. 11, no. 9, pp. 15048-15058, 01 May 2024. [paper]
[7] Xin Yuan, Ning Li, Tuo Zhang, Muqing Li, Yuwen Chen, Jose Fernan Martinez Ortega, and Song Guo, “High Efficiency Inference Accelerating Algorithm for NOMA-Based Edge Intelligence,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 17539-17556, Nov 2024. [paper]
[8] Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, and Song Guo, “Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence,” IEEE Transactions on Mobile Computing, Vol. 24, no. 3, pp. 1530-1549, Mar 2025. [paper]
[9] Jixuan Cui, Jun Li, Zhen Mei, Kang Wei, Sha Wei, Ming Ding, Wen Chen, and Song Guo, “Federated Meta-Learning for Few-Shot Fault Diagnosis With Representation Encoding,” IEEE Transactions on Instrumentation and Measurement, Vol. 72, pp. 1-12, 30 Oct. 2023. [paper]
[10] Xin Yuan, Ning Li, Tuo Zhang, Muqing Li, Yuwen Chen, Jose Fernan Martinez Ortega, and Song Guo, “High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Intelligence,” IEEE Transactions on Wireless Communications, Vol. 23, no. 11, pp. 17539-17556, Nov 2024. [paper]
[11] Xiaojia Wang, Suzhi Bi, Xian Li, Xiaohui Lin, Zhi Quan, and Ying-Jun Angela Zhang, “Capacity Analysis and Throughput Maximization of NOMA With Non-Linear Power Amplifier Distortion,” IEEE Transactions on Wireless Communications, Vol. 23, no. 12, pp. 18331-18345, Dec 2024. [paper]
[12] Jie Zhang, Song Guo, Xiaosong Ma, Wenchao Xu, Qihua Zhou, Jingcai Guo, Zicong Hong, and Jun Shan, “Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning,” IEEE Transactions on Mobile Computing, Vol. 24, no. 1, pp. 379-393, Jan 2025. [paper]
[13] Quan Chen, Song Guo, Wenchao Xu, Jing Li, Tuo Shi, Hong Gao, and Zhipeng Cai, “Average AoI Minimization With Directional Charging for Wireless-Powered Network Edge,” IEEE Transactions on Mobile Computing, Early Access, Jan 2025. [paper]
[14] Zhaolong Ning, Tengfeng Li, Yu Wu, Xiaojie Wang, Qingqing Wu, Fei Richard Yu, and Song Guo, “6G Communication New Paradigm: The Integration of Unmanned Aerial Vehicles and Intelligent Reflecting Surfaces,” IEEE Communications Surveys & Tutorials, Early Access, Jan 2025. [paper]
[15] Xin Yuan, Ning Li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, and Song Guo, “Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence,” IEEE Transactions on Mobile Computing, Vol. 24, no. 3, pp. 1530-1549, Mar 2025. [paper]
[16] Yi Liu, Song Guo, Jie Zhang, Zicong Hong, Yufeng Zhan, and Qihua Zhou, “Collaborative Neural Architecture Search for Personalized Federated Learning,” IEEE Transactions on Computers, Vol. 74, no. 1, pp. 250-262, Jan 2025. [paper]
[17] Shijing Yuan, Qingshi Zhou, Jie Li, Song Guo, Hongyang Chen, Chentao Wu, and Yang Yang, “Adaptive Incentive and Resource Allocation for Blockchain-Supported Edge Video Streaming Systems: A Cooperative Learning Approach,” IEEE Transactions on Mobile Computing, Vol. 24, no. 2, pp. 539-556, Feb 2025. [paper]
[18] Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Song Guo, Yuguang Fang, and Dong In Kim, “Generative AI-Enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception,” IEEE Communications Magazine, Vol. 62, no. 10, pp. 96-102, Oct 2024. [paper]
[19] Jing Li, Song Guo, Weifa Liang, Jianping Wang, Quan Chen, Zicong Hong, Zichuan Xu, Wenzheng Xu, and Bin Xiao, “AoI-Aware Service Provisioning in Edge Computing for Digital Twin Network Slicing Requests,” IEEE Transactions on Mobile Computing, Vol. 23, no. 12, pp. 14607-14621, Dec 2024. [paper]
[20] Xiaojie Wang, Beibei Wang, Yu Wu, Zhaolong Ning, Song Guo, and Fei Richard Yu, “A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability,” IEEE Communications Surveys & Tutorials, Early Access, Aug 2024. [paper]
[21] Tao Guo, Song Guo, and Junxiao Wang, “Explore and Cure: Unveiling Sample Effectiveness With Context-Aware Federated Prompt Tuning,” IEEE Transactions on Mobile Computing, Vol. 23, no. 12, pp. 14044-14054, Dec 2024. [paper]
[22] Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng, Yinggui Wang, and Song Guo, “Fast-Convergent Wireless Federated Learning: A Voting-Based TopK Model Compression Approach,” IEEE Journal on Selected Areas in Communications, Vol. 42, no. 11, pp. 3048-3063, Nov 2024. [paper]
[23] Zhicheng Luo, Qianyi Huang, Xu Chen, Rui Wang, Fan Wu, Guihai Chen, and Qian Zhang, “Spectrum Sensing Everywhere: Wide-Band Spectrum Sensing With Low-Cost UWB Nodes,” IEEE/ACM Transactions on Networking, Vol. 32, no. 3, pp. 2112-2127, Jun 2024. [paper]
Conference Papers (AT Track 3)
[1] Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, HaozhaoWang, Ziming Liu, and Xiaocheng Lu, “ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning,” in Proc. Annual AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024. [paper]
[2] Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, and Jiaya Jia, “Prompt Highlighter: Interactive Control for Multi-Modal LLMs,” in Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference, Seattle WA, United States, Jun. 2024. [paper]
[3] Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, and Jiaya Jia, “LISA: Reasoning Segmentation via Large Language Model,” in Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference, Seattle WA, United States, Jun. 2024. [paper]
[4] Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, and Jiaya Jia, “Video-P2P: Video Editing with Cross-attention Control,” in Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference, Seattle WA, United States, Jun. 2024. [paper]
[5] Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, and Jiaya Jia, “SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training,” in Proc. IEEE / CVF Computer Vision and Pattern Recognition Conference, Seattle WA, United States, Jun. 2024. [paper]
[6] Yuechen Zhang, Jinbo Xing, Eric Lo, and Jiaya Jia, “Real-World Image Variation by Aligning Diffusion Inversion Chain,” in Proc. Conference on Neural Information Processing Systems (NeurIPS), New Orleans, United States, Dec. 2023. [paper]
[7] Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, and Jiaya Jia, “Mask-Attention-Free Transformer for 3D Instance Segmentation,” in Proc. International Conference on Computer Vision (ICCV), Paris, France, Oct. 2023. [paper]
[8] Fanbin Lu, Xufeng Yao, Chi-Wing Fu, and Jiaya Jia, “Removing Anomalies as Noises for Industrial Defect Localization,” in Proc. International Conference on Computer Vision (ICCV), Paris, France, Oct. 2023. [paper]
Posters (AT Track 3)
[1] “High Efficiency Inference Accelerating Algorithm for NOMA-based Edge Intelligence” (Prof. Song GUO’s group) 
[2] “Dynamic Air-Ground Networking and Clustering algorithms for High-Performance Edge Federated Learning” (Prof. Song GUO’s group)
[3] “Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence” (Prof. Song GUO’s group)
[4] “QoE and QoS based High Efficiency Inference Accelerating Algorithm for Edge Intelligence” (Prof. Song GUO’s group)
[5] “Empowering Mobile Devices with Multimodal Large Language Models in 6G Era” (Prof. Jiaya JIA’s group)