Intelligent Computing and Communications Lab
Tao (Kevin) Huang, SMIEEE, PhD
E:Β tao.huang1@jcu.edu.au
Electronic Systems and IoT Engineering
College of Science and Engineering
James Cook University
Cairns, QLD, Australia.
Welcome to the ICC Lab!
Call for Paper π₯π₯π₯
Special issue βCross-Modal Learning in Medicine: Bridging Large Language Models with Medical Image Analysis.β Frontiers in Artificial Intelligence. Guest Editors: Dr. Euijoon Ahn, Dr. Tao Huang, and Dr. Caren Han.
Manuscript Summary Submission Deadline 30 June 2024
Manuscript Submission Deadline 30 September 2024
2024 9th International Conference on Communication, Image and Signal Processing (CCISP 2024) Nov.13th-15th, 2024 / Gold Coast, Australia
Highlights of Recent News ππ€ π
1 December 2024 - Our paper: "A multi-gated deep graph network with attention mechanisms for taxi demand prediction," is accepted by Applied Soft Computing. This work is a joint collaboration with Feng Guo, Zhaoxia Guo, Haifan Tang, and Youkai Wu. πππ
20 November 2024 - IEEE Access has highlighted Dr Huang as βOutstanding Associate Editor of 2023β on their social media sites: Linkedin and Facebook.
10 November 2024 - Our paper: "Robust outage-constrained secrecy rate of hybrid power line and wireless communication with artificial noise-aided beamforming for smart grid," is accepted by IEEE Transaction on Communication. This work is a joint collaboration with Zhengmin Kong, Li Gan, Jing Song, Weijun Yin, Shihao Yan, and Jinhong Yuan. πππ
5 November 2024 - Our paper: "Study on the methods of hyperspectral image saliency detection based on MBCNN," is accepted by The Visual Computer. This work is a joint collaboration with He Yu, Kang Yan, Jiexi Chen, Xuan Li, Jinming Guo, and Xiaoxue Xing. πππ
4 November 2024 - Our paper: "Near-field communication with random frequency diverse array," is accepted by IEEE Wireless Communications Letters. This work is a joint collaboration with Linlin Sun, Zhilin Chen, Feng Shu, and Shihao Yan. πππ
29 October 2024 - Our paper: "Resource allocation and trajectory optimization in Multi-UAV collaborative vehicular networks: An extended multi-agent DRL approach," is accepted by IEEE Internet of Things Journal. This work is a joint collaboration with Wenqian Zhang, Lu Tan, Xiaowen Huang, Mengting Huang, and Guanglin Zhang. πππ
3 October 2024 - Our paper: "Trustworthy blockchain-assisted federated learning: Decentralized reputation management and performance optimization," is accepted by IEEE Internet of Things Journal. This work is a joint collaboration with Weihao Zhu, Long Shi, Jun Li, Bin Cao, Kang Wei, and Zhe Wang. πππ
2 October 2024 - Our paper: "A generalized Lorenz system-based initialization method for deep neural networks," is accepted by Applied Soft Computing. This work is a joint collaboration with Bowen Jia, Zhaoxia Guo, Feng Guo, and Huyu Wu. πππ
17 September 2024 - Our paper: βDistributed robust artificial-noise-aided secure precoding for wiretap MIMO interference channels,β is accepted by IEEE Transactions on Information Forensics and Security. This work is a joint collaboration with Zhengmin Kong, Jing Song, Shaoshi Yang, Li Gan, Weizhi Meng, and Sheng Chen. πππ
17 September 2024 - Our paper: βCOLREGs-adaptive trajectory planning and decision-making in autonomous maritime ships,β is accepted by Ocean Engineering. This work is a joint collaboration with Zhepeng Han, Da Wu, Jinfen Zhang, Qing-Long Han, Mingyang Zhang. πππ
5 September 2024 - Our paper: "Responsible Federated Learning in Smart Transportation: Outlooks and Challenges", is now accessible In IEEE Internet of Things Magazine.Β This work is a joint collaboration with Xiaowen Huang, Shushi Gu, Shuguang Zhao, and Guanglin Zhang. πππ
2 September 2024 - Our paper: Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, and Hongbin Liu, βOn the federated learning framework for cooperative perception,β has been accepted by IEEE Robotics and Automation Letters.πππ
10 August 2024 - Our paper: Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv, Jinman Kim, David Dagan Feng, "Explicit abnormality extraction for unsupervised motion artifact reduction in magnetic resonance imaging," has been accepted by IEEE Journal of Biomedical and Health Informatics.πππ