潘文安

【1】M.O. Pun, M. Morelli and C.-C. Kuo, Multi-Carrier Techniques For Broadband Wireless Communications: A Signal Processing Perspectives, Imperial College Press, U.K. 2007.

【2】M. Yuan, M.O. Pun and D. Wang, “Renyi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning”, accepted for publication in the IEEE Transactions on Artificial Intelligence, June 2022.

【3】G. Niu, L. Wu, Y. Gao and M.O. Pun, “Unmanned Aerial Vehicle (UAV)-Assisted Path Planning for Unmanned Ground Vehicles (UGVs) via Disciplined Convex-Concave Programming”, accepted for publication in the IEEE Trans. on Vehicular Technology, April 2022.

【4】Q. Cao, M.O. Pun and Y. Chen, “Deep Learning in Network-Level Performance Prediction Using Cross-Layer Information”, the IEEE Trans. on Network Science and Engineering, on Network Science and Engineering, Vol.9, pp. 2364-2377, July-August 2022.

【5】G. Niu, Q. Yang, Y. Gao, M.O. Pun, Vision-based Autonomous Landing for Unmanned Aerial and Mobile Ground Vehicles Cooperative Systems, the IEEE Robotics and Automation Letters (RA-L), Vol.7, pp. 6234-6241, Jul. 2022.

【6】X. Ma, X. Zhang and M.O. Pun, “A Crossmodal Multiscale Fusion Network for Semantic Segmentation of Remote Sensing Data”, the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15, pp. 3463-3474, May 2022.

【7】W. Yu, X. Zhang and M.O. Pun, “Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks”, the IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 5512605, May 2022.

【8】X. Zhang, W. Yu and M.O. Pun, “Multilevel Deformable Attention-Aggregated Networks for Change Detection in Bitemporal Remote Sensing Imagery”, the IEEE Trans. on Geoscience and Remote Sensing, Vol. 60, pp. 5621518, April 2022.