Research

Deep Learning

1. Robotic perception systems.

2. mmWave for Health Monitoring.

3. Object Detection, Identification, and Tracking.

4. Medical Image Processing.

5. Digital Agriculture.

6. Road Detection and Extraction in Remote Areas via Remote Sensing.

7. Smart Sensing: Computer-Vision-Based Discharge and Depth Monitoring in Water Channels.

8. Early Prediction of Age-related Neurodegenerative Diseases.

Wireless Communications

1. Edge Resource Allocation.

2. Massive MIMO.

3. RIS.

4. NOMA.

5. Channel Error Control Coding.

6. Physical Layer Network Coding.

7. Physical Layer Security.

System Control

1. System operation optimization

Department of Environment, Science and Innovation (State of Queensland)

• Project: Remote saltwater crocodile (Crocodylus porosus ) detection using digital video AI 

• Funding: $226,620.

• Year: 2024 ~ 2025 (12 months) 

• Team: Tao Huang, Euijoon Ahn, Mostafa Rahimi Azghadj, Bouchra Senadji 

CSIRO Industry PhD Program 

• Project: Auto-reforestation Robot Perception System for Complex Tropical Terrain

• Funding: $236,000

• Year: 2024, 2025, 2026, 2027

• Team: Tao Huang

•  About: Planting trees in tropical regions is crucial for mitigating climate change, preserving biodiversity, regulating water systems, protecting soil, and providing economic benefits. However, the terrain in tropical regions is complex, with an uneven surface, slippery nature, dense vegetation, and deep slopes, posing challenges for conventional tree-planting robots. In this project, we will leverage cutting-edge AI and sensor technologies to develop next-generation robot perception systems while considering the robustness, adaptability, and flexibility required for complex tropical terrain. The new robot will improve safety standards and create high-value jobs in operation and maintenance. The project will have far-reaching environmental, economic, and social benefits.

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Sandpit to Seed (S2S) Grant, James Cook University

• Project: Detection of animals with low-cost radar

• Funding: $48,468

• Year: 2023

• Team: Myles Menz, Bronson Philippa, Tao Huang.

• About: This project will investigate the potential of millimeter-wave imaging radar for the detection of animals in airspace. These radar systems have been developed for the automotive industry but have yet to be assessed for their capability as a detection tool for biological targets such as insects, birds, and bats. There is a huge market gap for low-cost biological sensors in industries such as agriculture, environmental management and conservation, and human health. This project will provide a proof of concept that can then be used to generate further funding and a start-up to further develop this product, with the intention to deploy a network of units as a sensor array.

Northern Australia Regional Digital Health Collaborative (NARDHC)

• Project: Fusion of wearable and environmental sensors for remote monitoring of health and well-being in elderly populations

• Funding: $48,063 

• Year: 2023

• Team: Stephanie Baker, Euijoon Ahn, Tao (Kevin) Huang, Bronson Philippa, Caryn West, and Christopher Rouen.

• About:  This project aims to improve healthcare access for aged care in remote areas of Australia by developing an intelligent home health monitoring prototype. The system will use wearable sensors, mmWave technology, and AI to monitor vital signs, physical activity, and environmental conditions. It will analyze the data collected and provide early warning alerts to medical professionals and caregivers. By demonstrating the feasibility of this innovative solution, the project seeks to improve the quality of life for older adults in remote areas and provide peace of mind to caregivers and family members.

Australian Research Council Discovery Project (ARC DP)

• Project: Low-cost Sensing Methods and Hybrid Learning Models

• Funding: $450,000

• Year: 2022, 2023, 2024

• Team:  Professor Wei Xiang; Professor Yi-Ping Phoebe Chen; Dr. Tao (Kevin) Huang; Dr. Peng Cheng; Dr. Tran Khoa Phan; Professor Lajos Hanzo.

• About:  This project aims to revolutionize the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine-learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.

JCUS-JCUA Cross-Campus Collaboration Grant

• Project: Lightweight Blockchain Development for Healthcare IoT

• Funding amount: $4911.12

• Year: 2022

• Team: Jusak Jusak (JCUS), Tao Huang (JCUA), and Steven Kerrison(JCUS). 

Sandpt to Seed (S2S) Grant, James Cook University

• Project: Design low-cost computer-vision-based discharge sensing technology

• Funding: $79,500

• Year: 2020

• Team: Tao Huang and Jason Holdsworth.

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Grants before 2020

• Wei Xiang, Tao Huang, Lei Lei, and Mostafa Rahimi Azghadi, “Internet of Things and Big Data Analytics for Cairns Marine,” Australian Government Department of Industry, Innovation and Science, Innovations Connections Program, $103,109, May 2019 - May 2020.

• Wei Xiang, Hanshe Lim, Niels Munksgaard, Lynne Powell, and Tao Huang, “Improving the water quality of the Great Barrier Reef through the use of smart sensors and the IoT,” Australian Government Department of Industry, Innovation and Science, $360,146, Jan. 2018 - June 2019.

• Tao Huang, “Improving the throughput of the wireless data link in Australia rural area,” Endeavour Australia Cheung Kong Research Fellowship, Australian Government Department of Education, $24,500, Apr. 2014 - Sept. 2014.  

1. Trustworthy blockchain-assisted federated learning: Decentralized reputation management and performance optimization 

   • In IEEE Internet of Things Journal, accepted 3 October 2024.

   • Weihao Zhu, Long Shi, Jun Li, Bin Cao, Kang Wei, Zhe Wang, and Tao Huang 

2. A generalized Lorenz system-based initialization method for deep neural networks

   • In Applied Soft Computing, accepted 2 October 2024.

   • Bowen Jia, Zhaoxia Guo, Tao Huang, Feng Guo, and Huyu Wu 

3. COLREGs-adaptive trajectory planning and decision-making in autonomous maritime ships

   • In Ocean Engineering, accepted 17 September 2024.

   • Zhepeng Han, Da Wu, Jinfen Zhang, Tao Huang, Qing-Long Han, Mingyang Zhang

4. Distributed robust artificial-noise-aided secure precoding for wiretap MIMO interference channels

   • In IEEE Transactions on Information Forensics and Security, accepted 17 September 2024.

   • Zhengmin Kong, Jing Song, Shaoshi Yang, Li Gan, Weizhi Meng, Tao Huang, and Sheng Chen.

5. On the federated learning framework for cooperative perception

   • In IEEE Robotics and Automation Letters, accepted 2 September 2024.

   • Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, and Hongbin Liu.

6. Explicit abnormality extraction for unsupervised motion artifact reduction in magnetic resonance imaging 

   • In IEEE Journal of Biomedical and Health Informatics, accepted 10 August 2024.

   • Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv, Jinman Kim, and David Dagan Feng.

7. DEMF-net: A dual encoder multi-scale feature fusion network for polyp segmentation

   • In Biomedical Signal Processing and Control, Volume 96, Part A, 2024.

   • Xiaorui Cao, He Yu, Kang Yan, Rong Cui, Jinming Guo, Xuan Li, Xiaoxue Xing, and Tao Huang.

8. DFDS-Net: A dual forward denoising stream network for low-dose CT noise reduction in wavelet domain 

   • In Electronics, MDPI, accepted 10 May 2024.

   • Yusheng Zhou, Zhengmin Kong, Tao Huang, Euijoon Ahn, Hao, Li, and Li Ding. 

9. A Fourier series-based steady-state thermal resistance model for power module

   • In IEEE Journal of Emerging and Selected Topics in Power Electronics, 2 May 2024.

   • Haohao Ma, Yuan Yang, Fanze Yang, Tao Huang, Wei Xiang,  Yang Wen, and Santiago Cobreces.

10. Unsupervised representation learning for 3D MRI super-resolution with degradation adaptation

    • In IEEE Transactions on Artificial Intelligence, 25 April 2024.

    • Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, and David Dagan Feng.

11. Jamming precoding in AF relay-aided PLC systems with multiple eavesdroppers 

    • In Scientific Reports, Nature Portfolio, 9 April 2024.

    • Zhengmin Kong, Jiaxing Cui, Li Ding, Tao Huang, and Shihao Yan.

12. Mapping remote roads using artificial intelligence and satellite imagery

    • In Remote Sensing, MDPI, accepted 26 February 2024.

    • Sean Sloan, Raiyan R. Talkhani, Tao Huang, Jayden Engert, William F. Laurance.

    • Media Coverage:

      • JCU Media Release https://www.jcu.edu.au/news/releases/2024/march/ai-reveals-secret-roads-endangering-the-worlds-rainforests 

      • MONRBAY news & inspiration from nature's frontline https://news.mongabay.com/2024/03/to-detect-illegal-roads-in-remote-areas-ai-comes-into-play/ 

13. Discrete control for state of charge balance in DC microgrids considering the disturbance of photovoltaics

    • In International Journal of Electrical Power and Energy Systems, accepted 15 February 2024.

    • Boxi Li, Tao Huang, Zhengmin Kong, Lei Chen, Jiajia Yang, and Shikuan Sun.

14. Fixed-time hierarchical distributed control for flexible thermostatically controlled loads

    • In IEEE Systems Journal, accepted 10 February 2024.

    • Zilong Mi, Zhengmin Kong, Tao Huang, Peng Shi, Zhenwei Yu, and Li Ding.

15. Responsible Federated Learning in Smart Transportation: Outlooks and Challenges

    • In IEEE Internet of Things Magazine, accepted 6 February 2024.

    • Xiaowen Huang, Tao Huang, Shushi Gu, Shuguang Zhao, and Guanglin Zhang.

16. An ADMM-LSTM Framework for Short-Term Load Forecasting 

    • In Neural Networks, accepted 24 January 2024.

    • Shuo Liu, Zhengmin Kong, Tao Huang, Yang Du, Wei Xiang.

17. SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar 

    • In IEEE Transactions on Intelligent Vehicles, accepted 3 October 2023.

    • Jianan Liu, Qiuchi Zhao, Weiyi Xiong, Tao Huang, Qing-Long Han, Bing Zhu. 

18. LXL: LiDAR exclusive lean 3D object detection with 4D imaging radar and camera fusion

    • In IEEE Transactions on Intelligent Vehicles, accepted 25 September 2023.

    • Weiyi Xiong, Jianan Liu, Tao Huang, Qing-Long Han, Yuxuan Xia, and Bing Zhu.

19. Pricing optimization in MEC systems: Maximizing resource utilization through joint server configuration and dynamic operation

    • In IEEE Transactions on Mobile Computing, accepted 6 September 2023.

    • Xiaowen Huang, Tao Huang, Wenjie Zhang, Chair Kiat Yeo, Shuguang Zhao, and Guanglin Zhang.

20. Machine learning and blockchain technologies for cybersecurity in connected vehicles

    • In WIREs Data Mining and Knowledge Discovery, accepted on 12 August 2023.

    • Jameel Ahmad, Muhammad Umer Zia, Ijaz Naqvi, Jawwad Chattha, Faran Butt, Tao Huang, and Wei Xiang, 

21. A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data

    • In Neural Networks, accepted on 25 July 2023.

    • Xi Zhou, Wei Xiang, and Tao Huang.

22. Deep unfolding scheme for grant-free massive-access vehicular networks

    • In IEEE Transactions on Intelligent Transportation Systems, accepted on 30 June 2023.

    • Xiaobing Dang, Wei Xiang, Lei Yuan, Yuan Yang, Eric Wang, and Tao Huang.

23. Experimental modeling techniques in electrical discharge machining (EDM): A review

    • In International Journal of Advanced Manufacturing Technology, 06 June 2023.

    • Mohammad Mainul Hasan, Tanveer Saleh, Ali Sophian, M. Azizur Rahman, Tao Huang, and Mohamed Sultan Mohamed Ali.

24. Blockchain-enabled IoT for rural healthcare: Hybrid-channel communication with digital twinning

    • In Electronics MDPI, vol. 12 no. 2128, 2023.

    • Steve Kerrison, Jusak Jusak, and Tao Huang.

25. Cooperative jamming with AF relay in power monitoring and communication systems for mining

    • In Electronics, MDPI, 20 February 2023.

    • Wei Meng, Yidong Gu, Jianjun Bao, Xue Cui, Li Gan, Tao Huang, and Zhengmin Kong.

26. Road crack avoidance: A CNN-based smart transportation system for intelligent vehicles

    • In Journal of Intelligent Transportation Systems: Technology, Planning and Operations, 2 February 2023.

    • Majumder Haider, M. K. Peyal, Tao Huang, and Wei Xiang.

27. Automated periodontitis bone loss diagnosis in panoramic radiographs using a bespoke two-stage detector

    • In Computers in Biology and Medicine, vol. 152, January 2023.

    • Zhengmin Kong, Hui Ouyang, Yiyuan Cao, Tao Huang, Euijoon Ahn, Maoqi Zhang, and Huan Liu.

28. Energy-aware coded transmission strategy for hierarchical cooperative caching networks

    • In IEEE Wireless Communications Letters, 2022.

    • Shushi Gu, Zichao Yu, Qinyu Zhang, and Tao Huang.

29. Deep learning for parametric channel estimation in massive MIMO systems

    • In IEEE Transactions on Vehicular Technology, accepted  November 2022.

    • Umer Zia, Wei Xiang, G.M. Vitetta, and Tao Huang.

30. GNN-PMB: A simple but effective online 3D multi-object tracker without bells and whistles

    • In IEEE Transactions on Intelligent Vehicles, vol. 8, no. 2, pp. 1176-1189, Feb. 2023.

    • Jianan Liu, Liping Bai, Yuxuan Xia, Tao Huang, Bing Zhu, and Qing-Long Han.

31. Deep learning-aided TR-UWB MIMO system

    • In IEEE Transactions on Communications, vol. 70, no. 10, pp. 6579-6588, Oct. 2022.

    • Umer Zia, Wei Xiang, Tao Huang, and I.H Naqvi.

32. Complex-network-based traffic network analysis and dynamics: A comprehensive review

    • In Physica A: Statistical Mechanics and its Applications, vol. 607, 2022.

    • Mengyao Zhang, Tao Huang, Zhaoxia Guo, and Zhenggang He

33. Deep instance segmentation with automotive radar detection points

    • In IEEE Transactions on Intelligent Vehicles, 22 April 2022.

    • Jianan Liu, Weiyi Xiong, Liping Bai, Yuxuan Xia, Tao Huang, Wanli Ouyang, and Bing Zhu.

34. Optimal pulse-position modulation order and transmit power in covert communications

    • In IEEE Transactions on Vehicular Technology, vol. 71, no. 5, pp. 5570-5575, May 2022.

    • Ruide Li, Jinglu Cui, Tao Huang, Lei Yang, and Shihao Yan.

35. A novel occlusion-aware vote cost for light field depth estimation

    • In IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 11, pp. 8022-8035, 1 Nov. 2022.

    • Kang Han, Wei Xiang, Eric Wang, and Tao Huang.

36. Global repair bandwidth cost optimization of generalized regenerating codes in clustered distributed storage systems

    • In IET Communications, vol. 15, no. 19, pp 2469-2481, Dec. 2021.

    • Shushi Gu, Fugang Wang, Qinyu Zhang, Tao Huang, and Wei, Xiang.

37. Energy-aware coded caching strategy design with resource optimization for satellite-UAV-vehicle integrated networks

    • In IEEE Internet of Things Journal, Early Access, vol. 9, no. 8, pp. 5799-5811, Apr. 2022.

    • Shushi Gu, Xinyi Sun, Zhihua Yang, Tao Huang, Wei Xiang, and Keping Yu.

38. Innovation through collaboration: Improving urban water management for a reef council

    • In Water E-Journal, vol. 5, no. 3, Oct. 2020.

    • Lynne Powel, HanShe Lim, Iain Brown, Tao Huang, Neils Munksgaard, Mark Randall, Jason Holdsworth, and Helen Cook.

39. Time allocation optimization and trajectory design in UAV-assisted energy and spectrum harvesting network

    • In IEEE Access, vol. 8, pp. 160537-160548, Sep. 2020.

    • Shuo Shi, Yuchen Li, Shushi Gu, Tao Huang, and Xuemai Gu.

40. Optimization of data exchange in 5G vehicle infrastructure edge networks

    • In IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp. 9376-9389, Sept. 2020.

    • Tao Huang, Xiaojun Yuan, Jinhong Yuan, and Wei Xiang.

41. Novel design for short analog fountain codes

    • In IEEE Communications Letters, vol. 23, no. 8, pp. 1306-1309, Aug. 2019.

    • Rana Abbas, Mahyar Shirvanimoghaddam, Tao Huang, Yonghui Li, and Branka Vucetic.

42. Machine learning-based optimization for vehicle-to-infrastructure communications

    • In Future Generation Computer Systems, vol. 94, pp. 488-495, May 2019.

    • Wei Xiang, Tao Huang, and Wanggen Wan.

43. On lattice-partition-based physical-layer network coding over GF(4)

    • in IEEE Communications Letters, vol. 10, no. 10, pp. 1988-1991, October 2013.

    • Qifu Sun, Tao Huang, and Jinhong Yuan.

44. Lattice network codes based on Eisenstein integers

    • In IEEE Transactions on Communications, vol. 61, no. 7, pp. 2713-2725, July 2013.

    • Qifu Sun, Jinhong Yuan, Tao Huang, and Wing-Ki Shum.

45. Design of irregular repeat-accumulate coded physical-layer network coding for Gaussian two-way relay channels

    • In IEEE Transactions on Communications, vol. 61, no. 3, pp. 897-909, March 2013.

    • Tao Huang, Tao Yang, Jinhong Yuan, and Ingmar Land

46. Distance spectrum and performance of channel-coded physical-layer network coding for binary-input Gaussian two-way relay channels

    • In IEEE Transactions on Communications, vol. 60, no. 6, pp. 1499-1510, June 2012.

    • Tao Yang, Ingmar Land, Tao Huang, Jinhong Yuan, and Zhuo Chen.

47. Outage analysis of non-regenerative analog network coding for two-way multi-hop networks

    • In IEEE Communications Letters, vol. 15, no. 6, pp. 662-664, June 2011.

    • Gengkun Wang, Wei Xiang, Jinhong Yuan, and Tao Huang.

1. LiDAR point cloud-based multiple vehicle tracking with probabilistic measurement-region association 

• The 27th International Conference on Information Fusion, 2024.

• Guanhua Ding, Jianan Liu, Yuxuan Xia, Tao Huang, Bing Zhu, Jinping Sun.

2. Which framework is suitable for online 3D multi-object tracking for autonomous driving with automotive 4D imaging radar? 

• 2024 35th IEEE Intelligent Vehicles Symposium (IV).

• Jianan Liu, Guanhua Ding, Yuxuan Xia, Jinping Sun, Tao Huang, Lihua Xie, Bing Zhu. 

3. Domain knowledge enhanced contrastive learning for industry classification of enterprises 

• The 4th IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI), 2024.

• Kang Wen, Zhaoxia Guo, Tao Huang, Feng Guo. 

4. Unpaired MRI super-resolution with contrastive learning

• The 2024 IEEE International Symposium on Biomedical Imaging (ISBI).

• Hao Li, Quanwei Liu, Jianan Liu, Xiling Liu, Yanni Dong, Tao Huang, and Zhihan Lv.

5. Adaptive ambiance model for the noise-canceling headphones

• The 2023 IEEE Industrial Electronics and Applications Conference (IEACon).

• Rajas Bhope, Kiran Telele, and Tao Huang.

6. Rapid assessment of Mitchell grass on southern gulf rangelands using drone imagery and machine learning [Oral presentation]

• The 22nd Australian Rangeland Society Conference, Broome, Australia 2023.

• Lucy Gardner, David Phelps, Jack Koci, Tao Huang, Ben Jarihani, Paul Nelson, Geoff Penton.

7. Classification of pathological images of skin diseases based on deep learning

• The 4th International Conference on Data-driven Optimization of Complex Systems (DOCS2022), 2022.

• Ke Liu, Tao Huang, and Zhaoxia Guo.

8. Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation

• 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 1255-1261, doi: 10.1109/ITSC55140.2022.9922540.

• Weiyi Xiong, Jianan Liu, Yuxuan Xia, Tao Huang, Bing Zhu, and Wei Xiang.

9. Innovation and Collaboration: Improving Urban Water Management for a Reef Council [Oral presentation]

• Ozwater, May 2020.

• Lynne Powell, Iain Brown, Hanshe Lim, and Tao Huang.

10. Performance Analysis of Short Analog Fountain Codes

• In Proceeding of IEEE Global Communications Conference (GLOBECOM), December 2019.

• Rana Abbas, Mahyar Shirvanimoghaddam, Tao Huang, Yonghui Li, and Branka Vucetic.

11. Design of degrees of distribution of LDS-OFDM

• In Proceeding of IEEE International Conference on Signal Processing and Communication Systems (ICSPCS), Cairns, QLD, December 2015.

• Tao Huang, Jinhong Yuan, Xingqing Cheng, and Wan Lei.

12. Advanced link-to-system modeling of MMSE-SIC receiver in MIMO-OFDM systems

• In Proceeding of IEEE International Conference on Signal Processing and Communication Systems (ICSPCS), Cairns, QLD, December 2015.

• Tao Huang, Jinhong Yuan, Xingqing Cheng, and Wan Lei.

13. Degrees of Freedom of Half-duplex MIMO Multi-way Relay Channel with Full Data Exchange

• In Proceeding of IEEE Global Communications Conference (GLOBECOM), December 2014.

• Tao Huang, Xiaojun Yuan, and Jinhong Yuan.

14. Opportunistic Pair-wise Compute-and-Forward in Multi-way Relay Channels

• In Proceeding of IEEE International Conference on Communications (ICC), Budapest, Hungary, June 2013.

• Tao Huang, Jinhong Yuan, and Qifu Sun.

15. Novel Nested Convolutional Lattice Codes for Multi-Way Relaying Systems over Fading Channels

• In Proceeding of IEEE Wireless Communications and Networking Conference (WCNC), pp. 2671-2676, Shanghai, China, April 2013.

• Yuanye Ma, Tao Huang, Jun Li, Jinhong Yuan, Zihuai Lin, and Branka Vucetic.

16. Analysis of Compute-and-Forward with QPSK in Two-way Relay Fading Channels

• In Proceeding of the 14th Australian Communications Theory Workshop (AusCTW), pp. 75-80, Adelaide, Australia, January 2013.

• Tao Huang, Jinhong Yuan, and Jing (Tiffany) Li.

17. Convergence Analysis for Channel-coded Physical Layer Network Coding in Gaussian Two-way Relay Channels

• In Proceeding of the 8th International Symposium on Wireless Communication Systems (ISWCS), pp. 849-853, Aachen, Germany, November 2011.

• Tao Huang, Tao Yang, Jinhong Yuan, and Ingmar Land.

18. Distance Properties and Performance of Physical Layer Network Coding with Binary Linear Codes for Gaussian Two-Way Relay Channels

• In Proceeding of IEEE International Symposium on Information Theory (ISIT), pp. 2070-2074, Saint Petersburg, Russia, August 2011.

• Tao Yang, Ingmar Land, Tao Huang, Jinhong Yuan, and Zhuo Chen.

19. Outage Performance of Analog Network Coding in Generalized Two-Way Multi-Hop Networks

• In Proceeding of IEEE Wireless Communications and Networking Conference (WCNC), pp. 1988-1993, Quintana-Roo, Mexico, March 2011.

• Gengkun Wang, Wei Xiang, Jinhong Yuan, and Tao Huang.

20. FPGA Implementation of GPS Carrier and Code Tracking Loops

• In Proceeding of International Global Navigation Satellite Systems Society Conference (IGNSS), Sydney, Australia, December 2007.

• Tao Huang, Bin Guo, and Matthew Trinkle.

1. ProbRadarM3F: mmWave Radar based Human Skeletal Pose Estimation with Probability Map Guided Multi-Format Feature Fusion

• https://arxiv.org/abs/2405.05164 2024

• Bing Zhu, Zixin He, Weiyi Xiong, Guanhua Ding, Jianan Liu, Tao Huang, Wei Chen, Wei Xiang.

2. On the federated learning framework for cooperative perception 

• https://arxiv.org/abs/2404.17147 2024

• Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu.

3. Responsible federated learning in smart transportation: Outlooks and challenges

• https://arxiv.org/abs/2404.06777 2024

• Xiaowen Huang, Tao Huang, Shushi Gu, Shuguang Zhao, Guanglin Zhang.

4. A universal knowledge-embedded contrastive learning framework for hyperspectral image classification

• https://arxiv.org/abs/2404.01673 2024

• Quanwei Liu, Yanni Dong, Tao Huang, Lefei Zhang, Bo Do.

5. LiDAR point cloud-based multiple vehicle tracking with probabilistic measurement-region association

• https://arxiv.org/abs/2403.06423 2024

• Guanhua Ding, Jianan Liu, Yuxuan Xia, Tao Huang, Bing Zhu, Jinping Sun.

6. DEMF-Net: A dual encoder multi-scale feature fusion network for polyp segmentation

• https://ssrn.com/abstract=4700957 or http://dx.doi.org/10.2139/ssrn.4700957

• Xiaorui Cao, He Yu, Kang Yan, Rong Cui, Jinming Guo, Xuan Li, Xiaoxue Xing, Tao Huang.

7. Unpaired MRI super resolution with self-supervised contrastive learning

• • https://arxiv.org/abs/2310.15767 2023

  • Hao Li, Quanwei Liu, Jianan Liu, Xiling Liu, Yanni Dong, Tao Huang, Zhihan Lv.

8. V2X cooperative perception for autonomous driving: Recent advances and challenges

• https://doi.org/10.48550/arXiv.2310.03525 2023

• Tao Huang, Jianan Liu, Xi Zhou, Dinh C. Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, Sumei Sun.

9. Localization-guided track: A deep association multi-object tracking framework based on localization confidence of detections

• https://doi.org/10.48550/arXiv.2309.09765 2023

• Ting Meng, Chunyun Fu, Mingguang Huang, Xiyang Wang, Jiawei He, Tao Huang, Wankai Shi.

10. Implicit neural representation for MRI parallel imaging reconstruction 

• https://doi.org/10.48550/arXiv.2309.06067 2023

• Hao Li, Yusheng Zhou, Jianan Liu, Xiling Liu, Tao Huang, Zhihan Lv.

11. Which framework is suitable for online 3D multi-object tracking for autonomous driving with automotive 4D imaging radar?

• https://doi.org/10.48550/arXiv.2309.06036 2023

• Jianan Liu, Guanhua Ding, Yuxuan Xia, Jinping Sun, Tao Huang, Lihua Xie, Bing Zhu.

12. LEGO: Learning and graph-optimized modular tracker for online multi-object tracking with point clouds

• https://doi.org/10.48550/arXiv.2308.09908 2023

• Zhenrong Zhang, Jiananj Liu, Yuxuan Xia, Tao Huang, Qing-Long Han, and Hongbin Liu.

13. SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar

•  https://doi.org/10.48550/arXiv.2307.10784 2023

• Jianan Liu, Qiuchi Zhao, Weiyi Xiong, Tao Huang, Qing-Long Han, Bing Zhu.

14. LXL: LiDAR exclusive lean 3D object detection with 4D imaging radar and camera fusion

• https://arxiv.org/abs/2307.00724 2023

• Weiyi Xiong, Jianan Liu, Tao Huang, Qing-Long Han, Yuxuan Xia, and Bing Zhu.

15. An ADMM-LSTM Framework for Short-Term Load Forecasting

• https://ssrn.com/abstract=4455702 or http://dx.doi.org/10.2139/ssrn.4455702 2023

• Shuo Liu, Zhengmin Kong, Tao Huang, Yang Du, and Wei Xiang.

16. A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data   

• https://ssrn.com/abstract=4418723  or http://dx.doi.org/10.2139/ssrn.4418723      

• Xi Zhou, Wei Xiang, and Tao Huang.

17. UNAEN: Unsupervised Abnormality Extraction Network for MRI Motion Artifact Reduction    

• https://doi.org/10.48550/arXiv.2301.01732 2023    

• Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv, Jinman Kim, and David Dagan Feng.

18. RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection System

• https://doi.org/10.48550/arXiv.2211.06108 2022

• Yanlong Yang, Jianan Liu, Tao Huang, Qing-Long Han, Gang Ma, and Bing Zhu.

19. Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation

• https://doi.org/10.48550/arXiv.2205.06891 2022

• Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, and Wei Xiang.

20. GNN-PMB: A simple but effective online 3d multi-object tracker without bells and whistles

• https://doi.org/10.48550/arXiv.2206.10255 2022

• Jianan Liu, Liping Bai, Yuxuan Xia, Tao Huang, Bing Zhu, and Qing-Long Han.

21. Grant-Free Non-Orthogonal Multiple Access: A Key Enabler for 6G-IoT

• https://doi.org/10.48550/arXiv.2003.10257 2020

• Rana Abbas, Tao Huang, Basit Shahab, Mahyar Shirvanimoghaddam, Yonghui Li, and Branka Vucetic.

1. Adaptive Spatio-Temporal Voxel-Based Trajectory Planning and Optimization for Close-Quarters Ships Collision Avoidance 

2. Deep learning enabled RIS massive MIMO systems in industrial IoT: A joint communication and computation approach

3. Robust outage-constrained secrecy rate of hybrid power line and wireless communication with artificial noise-aided beamforming for smart grid 

4. Resource allocation and trajectory optimization in Multi-UAV collaborative vehicular networks: An extended multi-agent DRL approach 

5. V2X cooperative perception for autonomous driving: Recent advances and challenges 

6. Near-field communication with random frequency diverse array

7. Unifying Ground and Air: A Comprehensive Review of Deep Learning-enabled CAVs and UAVs

8. RaLiBEV: Radar and LiDAR BEV fusion learning for anchor box-free object detection system 

9. Evolution and challenges of computer vision and deep learning technologies for analysing mixed construction and demolition waste 

10. AI-enabled RAN intelligence: Use cases, challenges, and approaches 

11. Adversarial training and cross-modal feature fusion in multimodal sentiment analysis 

12. Cross-domain anomaly sound detection approach based on domain generalization and deep adversarial networks 

13. Study on the methods of hyperspectral image saliency detection based on MBCNN 

14. Localization-guided track: A deep association multi-object tracking framework based on localization confidence of detection 

15. LEGO: Learning and graph-optimized modular tracker for online multi-object tracking with point clouds 

16. Enhancing Oil Spill Detection with Controlled Random Sampling: A Multimodal Fusion Approach Using SAR and HSI Imagery 

17. Quantum Inspired Representation Learning for Multimodal Sentiment Analysis 

18. Determine PV-Battery Dynamic Firm Capacity Using Deep Reinforcement Learning 

19. ProbRadarM3F: mmWave radar-based human skeletal pose estimation with probability map guided multi-format feature fusion 

20. Optimizing task migration for public and private services in vehicular edge networks: A dual-layer graph neural network approach 

21. Multi-timescale over current protection for SiC MOSFET based on energy and current detections 

22. A universal knowledge-embedded contrastive learning framework for hyperspectral image classification 

23. A multi-gated deep graph network with attention mechanisms for taxi demand prediction 

1. Satellite images and road-reference data for AI-based road mapping in Equatorial Asia [Dataset]

• https://doi.org/10.5061/dryad.bvq83bkg7 [Dryad]

• Sean Sloan, Raiyan R. Tallhano, Tao Huang, Jayden Engert, and William Laurance

• If using this dataset, please cite the paper: Sean Sloan, Raiyan R. Talkhani, Tao Huang, Jayden Engert, William F. Laurance, "Mapping Remote Roads Using Artificial Intelligence and Satellite Imagery," In Remote Sensing, MDPI, accepted 26 February 2024.

1. Chapter 1: Deep Learning for Vehicle Safety, Deep Learning and Its Applications for Vehicle Networks (Edited by Fei Hu and Iftikhar Rasheed)

   • CRC Press. eBook ISBN 9781003190691, 12 May 2023. DOI: 10.1201/9781003190691-2. Open Access Link: https://lnkd.in/gCUtPKBt.

   • Raiyan Talkhani, Tao Huang, Shushi Gu, Zhaoxia Guo, Guanglin Zhang, Wei Xiang.

1. Security and Privacy for Modern Wireless Communication Systems, 

• MDPI, July 2023 Pages: 308. Online available https://www.mdpi.com/books/book/7633. ISBN 9783-0365-8228-3 (hardback); ISBN 978-3-0365-8229-0 (PDF) https://doi.org/10.3390/books978-3-0365-8229-0 (registering DOI).

• Tao Huang, Shihao Yan, Guanglin Zhang, Li Sun, Tsz Hon Yuen, YoHan Park, Changhoon Lee.

2. Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications

• 9th EAI international conference, Cloudcomp 2019, and 4th EAI international conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer, Cham, Switzerland. ISBN 978-3-030-48513-9, ISSN 1867-8211, Series LNICST, 2020.

•  Xuyun Zhang, Guanfeng Liu, Meikang Qui, Wei Xiang, and Tao Huang.

1. Method, apparatus and receiver for computing signal-to-interference-and-noise ratio

   • Patent filed by Huawei Technologies Co., Ltd., Publication number: WO2017049633 A1, 30 Mar. 2017.

   • Jinhong Yuan, Yue Zhao, Tao Huang, and Xingqing Cheng.

• February 2024 - Talk in the 2024 21st Australian Communications Theory Workshop titled "V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges.” 

• 22 June 2023 – Talk in the 2023 20th Australian Communications Theory Workshop titled “Deep Learning-Aided TW-UWB MIMO Systems.”

• 12 October 2022 – Talk in the TESS Seminar titled “Interested in adopting AI in your domain research but lacking labeled data? An introduction to contrastive learning.”

• 5 July 2021 ~ 16 July 2021 Participate in Sichuan University’s 2021 International Course Week and conduct an online subject on machine learning and its application in IoT systems. 

• 17 Mar. 2020, NZHS Technical Workshop for The Future of Surface Velocity Measurement, Tauranga, New Zealand. Organized by the New Zealand Hydrological Society. 17th~20th March 2020. Presentation: Automating STIV measurements.

• 29 Oct. 2019, STIV Data Processing Training Workshop, Cairns, QLD. Organized by the Department of Nature Resources, Mines, and Energy, Queensland Government. Presentation: Application of low-cost real-time computer vision learning-based water discharge sensing system.

• 4 Dec. 2019, Towards a Real-Time Water Quality Monitoring Community of Practice Workshop, Cairns, QLD. Organized by CSIRO. Presentation: Real-time water quality monitoring at Saltwater Creek and low-cost real-time computer vision learning-based water discharge sensing system.