Publications

* indicates the corresponding author

Journal Papers

1. Peng Wang, Shoupeng Lu, Cheng Dai*, Shengxin Dai, Bing Guo, "Temporal Action Localization with State-sensitive Mamba and Centroid Sequences Enhancement". Neurocomputing, 2024.
2. Banglie Yang, Linyu Zhu, Cheng Dai*, Sahil Garg, Georges Kaddoum, "An Improved Reconstruction Based Multi-Attribute Contrastive Learning for Digital Twin-Enabled Industrial System". IEEE Internet of Things Journal, 2024.
3. Cheng Dai, Shuai Wei, Shengxin Dai, Sahil Garg, Georges Kaddoum, M. Shamim Hossain, "Federated Self-supervised Learning based on Prototypes Clustering Contrastive Learning for Internet-of-Vehicles Applications". IEEE Internet of Things Journal, 2024.
4. Xiaoding Wang, Jiadong Li, Huilin Li, Cheng Dai*, Sahil Garg, Georges Kaddoum, "AEFL: Anonymous and Efficient Federated Learning in Vehicle Road Cooperation Systems with Augmented Intelligence of Things". IEEE Internet of Things Journal, 2024.
5. Long Qu, An Huang, Junqi Pan, Cheng Dai*, Sahil Garg, Mohammad Mehedi Hassan, "Deep Reinforcement Learning based Multi-Reconfigurable Intelligent Surface for MEC Offloading". International Journal of Intelligent Systems, 2024.
6. Ximing Liu, Yayong Li, Cheng Dai*, Hong Zhang, "A Hierarchical Attention-based Feature Selection and Fusion Method for Credit Risk Assessment". Future Generation Computer Systems, 2024.
7. Shoupeng Lu, Peng Wang, Wenhui Zhu, Cheng Dai*, Ying Zhang, Chuanjie Liu, Shengxin Dai. "A Nonlocal Feature Self-Similarity Based Tensor Completion Method for Video Recovery". Neurocomputing, 2024.
8. Cheng Dai, Shoupeng Lu, Chao Ma, Sahil Garg, Mubarak Alrashoud. "An Adaptive Rank based Tensor Ring Data Completion Model for Intelligent Transportation Systems". IEEE Transactions on Consumer Electronics, 2024.
9. Cheng Dai, Shoupeng Lu, Chuanjie Liu, Bing Guo. "A light-weight skeleton human action recognition model with knowledge distillation for edge intelligent surveillance applications". Applied Soft Computing, 2023.
10. Cheng Dai, Ying Zhang, Zhigao Zheng. "A Nonlocal Similarity Learning-Based Tensor Completion Model With Its Application in Intelligent Transportation System". IEEE Transactions on Intelligent Transportation Systems, 2023.
11. Cheng Dai, Yinqin Huang, Wei-Che Chien. "A sparse attack method on skeleton-based human action recognition for intelligent metaverse application". Future Generation Computer Systems, 2023.
12. Cheng Dai, Xingang Liu, Hao Xu, Laurence T. Yang, M. Jamal Deen. "Hybrid deep model for human behavior understanding on industrial internet of video things". IEEE Transactions on Industrial Informatics, 2021.
13. Cheng Dai, Xingang Liu, Hongqiang Cheng, Laurence T. Yang, M. Jamal Deen. "Compressing deep model with pruning and tucker decomposition for smart embedded systems". IEEE Internet of Things Journal, 2021.
14. Cheng Dai, Xingang Liu, Zhuolin Li, Mu-Yen Chen. "A tucker decomposition based knowledge distillation for intelligent edge applications". Applied Soft Computing, 2021.
15. Cheng Dai, Xingang Liu, Laurence T. Yang, Minghao Ni, Zhenchao Ma, Qingchen Zhang, M. Jamal Deen. "Video scene segmentation using tensor-train faster-RCNN for multimedia IoT systems". IEEE Internet of Things Journal, 2020.
16. Cheng Dai, Xingang Liu, Weiting Chen, Chin-Feng Lai. "A low-latency object detection algorithm for the edge devices of IoV systems". IEEE Transactions on Vehicular Technology, 2020.
17. Cheng Dai, Xingang Liu, Jinfeng Lai. "Human action recognition using two-stream attention based LSTM networks". Applied Soft Computing, 2020.
18. Cheng Dai, Xingang Liu, Jinfeng Lai, Pan Li, Han-Chieh Chao. "Human behavior deep recognition architecture for smart city applications in the 5G environment". IEEE Network, 2019.

Conference Papers

1. Cheng Dai, Hongqiang Cheng, Xingang Liu. “A tucker decomposition based on adaptive genetic algorithm for efficient deep model compression”. The IEEE International Conference on High Performance Computing & Communications(HPCC 2020), 2020.