| 2025 | IJCAI | MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving. | Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang |
| 2025 | INDIN | Performance Benchmarking of OpenPLC Across Multiple Environments for Cloud-Based Industrial Automation. | Junhao Deng, Yan Li, Peng Bo, Yu Liu, Dapeng Lan, Zhibo Pang |
| 2025 | INDIN | Performance Analysis of Cloud-Native Databases in Kubernetes for Industrial Cyber-Physical Systems. | Jiajun Li, Yan Li, Peng Bo, Yu Liu, Dapeng Lan, Zhibo Pang |
| 2025 | INDIN | Data Synchronization and Redundancy Mechanism for Virtual PLCs in Industrial Control Systems. | Zixuan Tang, Dong Li, Bo Hu, Yu Liu, Dapeng Lan, Peng Bo, Zhibo Pang |
| 2025 | INDIN | Enhancing SCADA Deployment with Kubernetes: Scalability, Reliability, and Security Evaluation. | Yuxing Yang, Yan Li, Peng Bo, Yu Liu, Dapeng Lan, Zhibo Pang |
| 2025 | INDIN | No Blade Left Behind: A Unified Spatial-Temporal Transformer for Aero-Engine Blade Detection. | Yinlong Zhang, Yuanhao Liu, Dapeng Lan, Wei Liang, Sichao Zhang, Xudong Yuan |
| 2025 | INDIN | Wearable Exoskeleton-Based Immersive Teleoperation for Industrial Manufacturing Systems: Hardware Design and Verification. | Guangwei Zhang, Ruohan Wang, Mengke Wang, Honghao Lyu, Dapeng Lan, Dashun Zhang, Geng Yang |
| 2024 | ICFEC | AMbit: An Efficient Pruning Technique in Federated Learning for Edge Computing Systems. | Emad Hammami, Peiyuan Guan, Amir Taherkordi, Amin Shahraki, Dapeng Lan |
| 2024 | INDIN | How Pretrained Foundation Models and Cloud-Fog Automation Empower the Recycling of Electrical Vehicles. | Siyuan Liu, Dapeng Lan, Jia Wang, Dongxiao Hu, Zhibo Pang, Honghao Lyu |
| 2024 | Mobiquitous | Real-Time Obstacle Detection and Safe Operation for Industrial Autonomous Mobile Robots. | Yuanhao Liu, Yinlong Zhang, Shuai Liu, Dapeng Lan, Chu Wang, Wei Liang |
| 2023 | DCOSS | Joint Optimization of Service Migration and Resource Management for Vehicular Edge Computing. | Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu, Xiaoming Yuan |
| 2021 | SAC | A federated fog-cloud framework for data processing and orchestration: a case study in smart cities. | Dapeng Lan, Yu Liu, Amir Taherkordi, Frank Eliassen, Stphane Delbruel, Lei Liu |
| 2020 | ICA3PP | Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities. | Dapeng Lan, Amir Taherkordi, Frank Eliassen, Zhuang Chen, Lei Liu |
| 2020 | INFOCOM | BS-IoT: Blockchain Based Software Defined Network Framework for Internet of Things. | Lei Liu, Wei Feng, Chen Chen, Yuru Zhang, Dapeng Lan, Xiaoming Yuan, Sahil Vashisht |
| 2020 | MASS | Deep Reinforcement Learning for Computation Offloading and Caching in Fog-Based Vehicular Networks. | Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu |
| 2019 | Middleware | A Survey on Fog Programming: Concepts, State-of-the-Art, and Research Challenges. | Dapeng Lan, Amir Taherkordi, Frank Eliassen, Geir Horn |