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Publications （Underlined authors are current or former lab members)

Journal Papers (Since 2022)

2025

  • Z. Sha, C. Li, W. Yue, N. Cheng, Y. Hui, A. Pang, M.O. Pun, Z. Sun and Y. Yang, ``Pioneering Air-Ground Integrated Mobility: A Knowledge-Driven Space-Air-Ground Integrated Network for 6G On-Demand Service", accepted for publication in IEEE Network Mag., Jan. 2025. [Paper Link]
  • Y. Xie, Q. Wu, G. Niu, M.O. Pun and Z. Han, "Online Scheduling for Multi-Access in Space-Air-Ground Integrated Networks using iGNNSeq-Enhanced Reinforcement Learning", IEEE Trans. on Vehicular Technology, vol. 74, no. 3, pp. 4774-4787, March 2025. [Paper Link]
  • J. Sui, X. Ma, X. Zhang, M.O. Pun and H. Wu, "Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 892-906, 2025. [Paper Link]

2024

  • J. Sui, D. Ma, C.-C. Jay Kuo and M.O. Pun, "FLDCF: A Collaborative Framework for Forgery Localization and Detection in Satellite Imagery", IEEE Trans. on Geoscience and Remote Sensing, vol.62, pp. 1-13, 2024. [Paper Link]
  • M. Wang, Y. Chen, Y. Kan, C. Xu, M. Lepech, M.O. Pun and X. Xiong, "Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies", IEEE Trans. on Intelligent Transportation Systems, vol. 25, no. 12, pp. 20085-20104, Dec. 2024. [Paper Link]
  • X. Ma, X. Xu, X. Zhang and M.O. Pun, "ASMFNet: Swin Transformer-based Adjacent-Scale Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 20116-20128, 2024, . [Paper Link]
  • X. Ma, X. Ding, X. Zhang, M.O. Pun, and S. Ma, "Decomposition-Based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation", IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-18, 2024. [Paper Link]
  • M. Wang, X. Xiong, Y. Kan, C. Xu and M.O. Pun, "UniTSA: Universal Reinforcement Learning-based Traffic Signal Control Framework for V2X", IEEE Trans. on Vehicular Technology, vol. 73, no. 10, pp. 14354-14369, Oct. 2024. [Paper Link]
  • X. Ma, Q. Wu, X. Zhao, X. Zhang, M.O. Pun and B. Huang, "SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints", IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-16, August 2024. [Paper Link]
  • Q. Wu, X. Ma, J. Sui and M.O. Pun, "DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification", IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-16, June 2024. [Paper Link]
  • X. Ma, X. Zhang and M.O. Pun, "RS\(^3\)Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation", IEEE Geoscience and Remote Sensing Letter, vol. 21, pp. 1-5, June 2024. [Paper Link]
  • J. Sui, Y. Ma, W. Yang, X. Zhang, M.O. Pun and J. Liu, "Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagery", IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-14, June 2024. [Paper Link]
  • X. Xiu, X. Ma, M.O. Pun and M. Liu, "AMBNet: Adaptive Multi-feature Balanced Network for Multimodal Remote Sensing Semantic Segmentation”, APSIPA Transactions on Signal and Information Processing, vol. 13, no. 3, April 2024. [Paper Link]
  • J. Sui, Q. Wu, and M.O. Pun, "Denoising Diffusion Probabilistic Model with Adversarial Learning for Remote Sensing Super-Resolution", Remote Sensing, vol. 16, no. 7, pp. 1219, March 2024. [Paper Link]
  • Y. Wen, X. Ma, X. Zhang and M.O. Pun, "GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature-Guided DDPM," in IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-16, March 2024.[Paper Link]
  • X. Ma, X. Zhang, M.O. Pun and M. Liu, "A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation”, IEEE Trans. on Geoscience and Remote Sensing, vol. 62, pp. 1-15, March 2024. [Paper Link]
  • A. Pang, M. Wang, Y. Chen, M.O. Pun and M. Lepechand, "Scalable Reinforcement Learning Framework for Traffic Signal Control under Communication Delays”, IEEE Open Journal of Vehicular Technology, vol. 5, pp. 330 - 343, March 2024. [Paper Link]

2023

  • M. Yuan, M.O. Pun and D. Wang, "Renyi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning”, IEEE Trans. on Artificial Intelligence, vol. 4, pp. 1154 - 1164, October 2023. [Paper Link]
  • X. Ma, Y. Huang, X. Zhang, M.O. Pun and B. Huang, "Cloud-EGAN: Rethinking CycleGAN From a Feature Enhancement Perspective for Cloud Removal by Combining CNN and Transformer”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 4999-5012, June 2023. [Paper Link]
  • J. Sui, X. Ma, X. Zhang and M.O. Pun, "GCRDN: Global Context-driven Residual Dense Network for remote sensing image super-resolution”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 4457-4468, May 2023. [Paper Link]
  • X. Zhang, W. Yu, M.O. Pun and W. Shi, "Cross-domain landslide mapping from remote sensing images using prototype-guided domain-aware progressive representation learning”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 197, pp. 1-17, March 2023. [Paper Link]
  • X. Ma, X. Zhang, Z. Wang and M.O. Pun, "Unsupervised domain adaptation augmented by mutually boosted attention for semantic segmentation of VHR Remote Sensing Images”, IEEE Trans. on Geoscience and Remote Sensing, vol. 61, pp. 1-15, Feb. 2023. [Paper Link]
  • H. Ma, K. Yang and M.O. Pun, "Cellular traffic prediction via deep state space models with attention mechanism”, Computer Communications, vol. 197, pp. 276-283, January 2023. [Paper Link]

2022

  • M. Yuan, Q. Cao, M.O. Pun and Y. Chen, "Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning”, APSIPA Transactions on Signal and Information Processing, vol. 11, Issue 1, October 2022. [Paper Link]
  • 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”, IEEE Trans. on Vehicular Technology, Vol. 71, pp. 6996-7007, July 2022. [Paper Link]
  • Q. Cao, M.O. Pun and Y. Chen, "Deep Learning in Network-Level Performance Prediction Using Cross-Layer Information”, IEEE Trans. on Network Science and Engineering, Vol.9, pp. 2364-2377, July-August 2022. [Paper Link]
  • G. Niu, Q. Yang, Y. Gao, M.O. Pun, "Vision-based Autonomous Landing for Unmanned Aerial and Mobile Ground Vehicles Cooperative Systems”, IEEE Robotics and Automation Letters (RA-L), Vol.7, pp. 6234-6241, Jul. 2022. [Paper Link]
  • X. Ma, X. Zhang and M.O. Pun, "A Crossmodal Multiscale Fusion Network for Semantic Segmentation of Remote Sensing Data”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15, pp. 3463-3474, May 2022. [Paper Link]
  • Y. Hu, T. Fu, G. Niu, Z. Liu and M.O. Pun, "3D map reconstruction using a monocular camera for smart cities”, Journal of Supercomputing, May 2022. [Paper Link]
  • W. Yu, X. Zhang and M.O. Pun, "Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks”, IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 5512605, May 2022. [Paper Link]
  • R. Wang and M.O. Pun, "Robust Semisupervised Land-use Classification using Remote Sensing Data with Weak Labels”, IEEE Access, vol. 10, pp. 43435-43453, May 2022. [Paper Link]
  • X. Zhang, W. Yu and M.O. Pun, "Multilevel Deformable Attention-Aggregated Networks for Change Detection in Bitemporal Remote Sensing Imagery”, IEEE Trans. on Geoscience and Remote Sensing, Vol. 60, pp. 5621518, April 2022. [Paper Link]

Conference Papers (Since 2022)

2025

  • Y. Xie, M. Wang, D. Zhou, M.O. Pun and Z. Han, "Dynamic Urban Air Mobility Ride-Sharing Trajectory Planning Using Radio Maps and Multi-Source Hybrid Attention Reinforcement Learning", accepted for publication in the 2025 IEEE International Conference in Communications (ICC), Montreal, Canada, June 8-12, 2025.
  • A. Pang, M. Wang, W. Yue, M.O. Pun and C.S. Chen, "V2X-Enabled Air-Ground Traffic Coordination for Enhancing On-Demand Air-Taxi Mobility", accepted for publication in the 2025 IEEE International Conference in Communications (ICC), Montreal, Canada, June 8-12, 2025.

2024

  • X. Cui, X. Ma, M.O. Pun, and Z. Cheng, "LTTS-GAN: A Long-term Time Series Generative Adversarial Network", Proc. the 9th EAI SmartGIFT, Hong Kong, China, December 9-11, 2024. (Received the Outstanding Paper Award)
  • L. Hou, J. Sun, H. Liang, L. Mao, G. Niu, M.O. Pun, and Z. Cheng, "Zero-Shot Learning-based Maritime Semantic Communication System", Proc. the 9th EAI SmartGIFT, Hong Kong, China, December 9-11, 2024. (Received the Outstanding Paper Award)
  • Z. Yu, W. Shu, X. Guo, L. Mao, G. Niu, M.O. Pun, and Z. Cheng, "UAVs-Enabled Maritime Communications: Control Barrier Functions for Physical Secure Systems", Proc. the 9th EAI SmartGIFT, Hong Kong, China, December 9-11, 2024.
  • L. Liu, M. Wang, M.O. Pun and X. Xiong, "A Multi-Agent Rollout Approach for Highway Bottleneck Decongenston in Mixed Autonomy", Proc. the 27th IEEE International Conference on Intelligent Transportation Systems (ITSC), Edmonton, Canada, September 24 - 27, 2024.
  • Y. Sun, X. Ma, Y. Yan, M.O. Pun and B. Huang, "A Novel Automated Urban Building Analysis Framework Based on GPT and SAM", Proc. the 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July 7-12, 2024. [Paper Link]
  • Q. Wu, X. Ma, J. Sui and M.O. Pun, "A SAM-Empowered Dual-Stream Framework for Scene-Level Local Climate Zone Classification Using Google Earth and Sentinel Images", Proc. the 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July 7-12, 2024. [Paper Link]
  • J. Sui, S. Xie, J. Jiang, X. Zhang and M.O. Pun, "Semantic Distortion-Aware Network with Cloud Classification for Remote Sensing Cloud Removal", Proc. the 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July 7-12, 2024. [Paper Link]
  • Y. Xie, Q. Wu, G. Niu and M.O. Pun, "Online Multi-Access Scheduling in Space-Air-Ground Integrated Networks using Graph Neural Network-Enhanced Reinforcement Learning", Proc. the 2024 IEEE International Conference in Communications (ICC), Denver, U.S.A, June 9-13, 2024. [Paper Link]
  • W. Liang, Z. Wang, S. Guo and M.O. Pun, "Real-Time 3D Indoor Positioning with Human Activity Transition Recognition on Mobile Devices", Proc. IEEE International Conference in Communications (ICC), Denver, U.S.A, June 9 – 13, 2024. [Paper Link]

2023

  • Z. Liu, S. Guo and M.O. Pun, "Dense Three-Dimensional Color Reconstruction for Large-Scale Outdoor Scenes", accepted for publication at the 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Taipei, Oct. 31 - Nov. 3, 2023. [Paper Link]
  • J. Sui, X. Ma, X. Zhang and M.O. Pun, "DTRN: Dual Transformer residual networks for remote sensing super-resolution", Proc. the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, U.S.A., July 16-21, 2023. [Paper Link]
  • X. Ma, M.O. Pun, M. Liu and Y. Wang, "Machine Learning-based Approach for Landslide Susceptibility Mapping Using Multimodal Data", Proc. the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, U.S.A., July 16-21, 2023. [Paper Link]
  • Y. Huang, X. Ma, X. Zhang and M.O. Pun, "Cyclegan-Based Cloud Removal From A Feature Enhancement Perspective By Transformer", Proc. the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, U.S.A., July 16-21, 2023. [Paper Link]
  • X. Xiu, X. Ma, M.O. Pun and M. Liu, "MDAFNet: Monocular Depth-Assisted Fusion Networks for Semantic Segmentation of Complex Urban Remote Sensing Data", Proc. the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, U.S.A., July 16-21, 2023. [Paper Link]
  • Y. Xie, G. Niu, M.O. Pun and Z. Han, "Online Bipartite Matching for HAP Access in Space-Air-Ground Integrated Networks using Graph Neural Network-Enhanced Reinforcement Learning", Proc. the 2023 IEEE International Conference in Communications (ICC), Rome, Italy, May 28 – June 1, 2023. [Paper Link]
  • A. Pang, Z. Xu, M. Wang, M.O. Pun and Y. Kan, "Reinforcement Learning-based Traffic Signal Control Using Delayed Observations for V2X", Proc. the 2023 IEEE International Conference in Communications (ICC), Rome, Italy, May 28 – June 1, 2023. [Paper Link]
  • G. Niu, Q. Cao and M.O. Pun, "Physical Layer Security Communications and Path Planning For UAV Base Stations", Proc. the 32nd Wireless and Optical Communications Conference (WOCC), Newark, NJ, USA, May 5-6, 2023. (invited paper) [Paper Link]
  • M. Wang, Y. Xu, X. Xiong, Y. Kan, C. Xu and M.O. Pun, "A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning”, Proc. the Transportation Research Board (TRB) Annual Meeting 2023, Washington, D.C., U.S.A., Jan. 8–12, 2023. [Paper Link]

2022

  • M. Yuan and M.O. Pun, "Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation”, Proc. the 2022 IEEE Symposium Series On Computational Intelligence (SSCI), Singapore, Dec. 4-7, 2022. [Paper Link]
  • Y. Xie, J. Tang, N. Yang and M.O. Pun, "Large-Scale Multi-Channel Transformer-based Speaker Identification with Knowledge Transfer Using Harmonic-Percussive Source Separation", Proc. the 31st Wireless and Optical Communications Conference (WOCC), Shenzhen, China, August 11-12, 2022. [Paper Link]
  • B. Zhang, X. Zhang, M.O. Pun and M. Liu, "Prototype-based clustered Federated Learning for Semantic Segmentation of Aerial Images", Proc. the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, July 17-22, 2022. [Paper Link]
  • X. Ma, X. Zhang, M.O. Pun and M. Liu, "MSFNet: Multi-Stage Fusion Network for Semantic Segmentation of Fine-Resolution Remote Sensing Data", Proc. the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, July 17-22, 2022. [Paper Link]
  • Y. Hu, Z. Liu, T. Fu and M.O. Pun, "Dense 3D Model Reconstruction for Digital City using Computationally Efficient Multi-View Stereo Networks", Proc. the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, July 17-22, 2022. [Paper Link]
  • Z. Liu, Y. Hu, T. Fu and M.O. Pun, "Dense Three-Dimensional Color Reconstruction with Data Fusion and Image-Guided Depth Completion for Large-Scale Outdoor Scenes", Proc. the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, July 17-22, 2022. [Paper Link]