Prof Chunbo Luo

Selected papers

Selected themed papers mostly from last 5 years: 

1. Machine learning for remote sensing & environment observation

  1. Zhipeng Liu, Chunbo Luo, Geyong Min, Zishu Liu and Zhuhui Li, DisasterScope: A Comprehensive Dataset and RTMDet-Based Methodology for Object Detection in Disaster-Related Remote Sensing Images. IEEE International Geoscience and Remote Sensing Symposium, 2024.

  2. Zhang Q, Xu J, Crane M, Luo C. (2022) See the wind: Wind scale estimation with optical flow and VisualWind dataset, Science of The Total Environment, volume 846, DOI:10.1016/j.scitotenv.2022.157204. (IF: 10.2) 

  3. Seale C, Redfern T, Chatfield P, Luo C, Dempsey K. (2022) Coastline detection in satellite imagery: A deep learning approach on new benchmark data, Remote Sensing of Environment, volume 278, article no. 113044, DOI:10.1016/j.rse.2022.113044. (IF: 13.9) 

  4. Xu J, Luo C, Chen X, Wei S, and Luo Y.(2020) "Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity" Remote Sensing, vol. 13, no. 15, pp. 3053.

  5. Yu X, Zhang H, Luo C, Qi H and Ren P. (2018) "Oil Spill Segmentation via Adversarial f-Divergence Learning," IEEE Transactions on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2018.2803038 

  6. Yu X, Wu X, Luo C, Ren P. (2017) Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework, GIScience and Remote Sensing, volume 54, no. 5, pages 741-758, DOI:10.1080/15481603.2017.1323377. (Currently the 2nd highest cited paper in this journal)

  7. Ren P, Di M, Song H, Luo C, Grecos C. (2016) Dual Smoothing for Marine Oil Spill Segmentation, IEEE Geoscience and Remote Sensing Letters, volume 13, no. 1, pages 82-86, DOI:10.1109/LGRS.2015.2497716. 

 

2. Smart Sensors for landslide and movement detection

  1. Newby, Kate, Georgina Bennett, Kyle Roskilly, Alessandro Sgarabotto, Chunbo Luo, and Irene Manzella. Smart boulders for real-time detection of hazardous movement on landslides. No. EGU24-394. Copernicus Meetings, 2024.

  2. Sgarabotto A, Manzella I, Roskilly K, Clark MJ, Bennett GL, Luo C, Franco AM. Evaluating the use of smart sensors in ground-based monitoring of landslide movement with laboratory experiments. EGUsphere. 2023 Nov 27;2023:1-30.

  3. Sgarabotto A, Majtan E, Manzella I, Raby A, Fourtakas G, Rogers BD, Roskilly K, Panici D, Bennett GL, Franco CL, Aldina MA. Using Smart Sensors to Track Woody Debris in Flume Experiments. InProceedings of the 40th IAHR World Congress 2023 Aug 25.

  4. Sgarabotto A, Manzella I, Raby A, Roskilly K, Egedusevic M, Panici D, Clark M, Boulton SJ, Franco A, Bennett GL, Luo C. Smart sensors to detect movements of cobbles and large woody debris dams. Insights from lab experiments. InEGU General Assembly Conference Abstracts 2023 May (pp. EGU-16276).

  5. Roskilly, Kyle, Georgina Bennett, Miles Clark, Aldina Franco, Martina Egedusevic, Robin Curtis, Joshua Jones, Michael Whitworth, Chunbo Luo, and Irene Manzella. "Smart cobbles and boulders for monitoring movement in rivers and on hillslopes." In EGU General Assembly Conference Abstracts, pp. EGU-14870. 2023.

  6. Sgarabotto, Alessandro, Irene Manzella, Kyle Roskilly, Chunbo Luo, Miles Clark, Aldina Franco, Georgina L. Bennett, and Alison Raby. "Investigating boulder motions with smart sensors in lab experiments." In EGU General Assembly Conference Abstracts, pp. EGU22-10198. 2022.

  7. Roskilly, Kyle, Georgina Bennett, Robin Curtis, Martina Egedusevic, Joshua Jones, Michael Whitworth, Benedetta Dini, Chunbo Luo, Irene Manzella, and Aldina Franco. "SENSUM project, Smart SENSing of landscapes Undergoing hazardous hydrogeomorphic Movement." In EGU General Assembly Conference Abstracts, pp. EGU22-10289. 2022.

  8. Y. Mi, C. Luo, G. Min, W. Miao, L. Wu and T. Zhao, "Sensor-Assisted Global Motion Estimation for Efficient UAV Video Coding," ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019, pp. 2237-2241, doi: 10.1109/ICASSP.2019.8682798.

 

3. Intelligent networks for sensing equipement and vehicles

  1. Li Z, Min G, Ren P, Luo C, Zhao L, Luo C. (2024) Ubiquitous and Robust UxV Networks: Overviews, Solutions, Challenges, and Opportunities, IEEE Network, pages 1-1, DOI:10.1109/mnet.2024.3352691

  2. Wu Y, Fang X, Luo C, Min G. Intelligent Content Pre-caching Scheme for Platoon-based Edge Vehicular Networks, IEEE Internet of Things Journal, pages 1-1, DOI:10.1109/jiot.2022.3178099. 

  3. Herberth R, Menz L, Korper S, Luo C, Gauterin F, Gerlicher A, Wang Q. Identifying Atypical Travel Patterns for Improved Medium-Term Mobility Prediction, IEEE Transactions on Intelligent Transportation Systems, pages 1-12, DOI:10.1109/tits.2019.2947347. 

  4. Li Z, Zhao L, Min G, Al-Dubai AY, Hawbani A, Zomaya AY, Luo C. (2023) Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method, IEEE Transactions on Intelligent Transportation Systems, volume 24, no. 12, pages 14022-14036, DOI:10.1109/TITS.2023.3300082. 

  5. Zhang J, Luo C, Carpenter M, Min G. (2022) Federated Learning for Distributed IIoT Intrusion Detection Using Transfer Approaches, IEEE Transactions on Industrial Informatics, volume 19, no. 7, pages 8159-8169, DOI:10.1109/tii.2022.3216575. 

  6. Wu J, Luo C, Luo Y, Li K. (2022) Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies, IEEE Trans Cybern, volume 52, no. 10, pages 10969-10979, DOI:10.1109/TCYB.2021.3132587. 

  7. Chen Z, Hu J, Min G, Luo C, El-Ghazawi T. (2021) Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning, IEEE Transactions on Parallel and Distributed Systems, DOI:10.1109/TPDS.2021.3132422. 

  8. Miao W, Luo C, Min G, Mi Y, Wang H. (2021) Unlocking the Potential of 5G and beyond Networks to Support Massive Access of Ground and Air Devices, IEEE Transactions on Network Science and Engineering, volume 8, no. 4, pages 2825-2836, DOI:10.1109/TNSE.2021.3051294. 

  9. Miao W, Luo C, Min G, Mi Y, Yu Z. (2021) Location-Based Robust Beamforming Design for Cellular-Enabled UAV Communications, IEEE Internet of Things Journal, volume 8, no. 12, pages 9934-9944, DOI:10.1109/jiot.2020.3028853.

  10. Miao W, Luo C, Min G, Zhao Z. (2020) Lightweight 3-D Beamforming Design in 5G UAV Broadcasting Communications, IEEE Transactions on Broadcasting, volume 66, no. 2, pages 515-524, DOI:10.1109/TBC.2020.2990564. 

  11. Zhan W, Luo C, Min G, Wang C, Zhu Q, Duan H. (2020) Mobility-Aware Multi-User Offloading Optimization for Mobile Edge Computing, IEEE Transactions on Vehicular Technology, volume 69, no. 3, pages 3341-3356, DOI:10.1109/tvt.2020.2966500. [PDF] 

  12. Khan AH, Cao X, Li S, Luo C. (2020) Using Social Behavior of Beetles to Establish a Computational Model for Operational Management, IEEE Transactions on Computational Social Systems, volume 7, no. 2, pages 492-502, DOI:10.1109/tcss.2019.2958522. [PDF]