Shengxin Dai

According to our database, Shengxin Dai authored at least 24 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multiscale Anomaly Decomposition Graph Neural Network for High-Speed Rail Passenger Flow Forecasting.

Lipeng Zhao, Weihao Qian, Shengxin Dai, Fei Chen, Lifan Liu, Mingjie Zhao, Kui Ye, Bing Guo, Yan Shen

IEEE Internet Things J., 2026

BDTest: A Diversity-Oriented Test Case Generation Framework for Deep Neural Networks in 6G-IOT.

Wendian Luo, Shengxin Dai, Cheng Dai, Bing Guo, Sherif Moussa, Mubarak Alrashoud

IEEE Internet Things J., 2026

Context-aware and multi-view enhanced model for entity alignment.

Yi Li, Fei Chen, Bing Guo, Yan Shen, Shengxin Dai, Bitao Hu

Inf. Fusion, 2026

Test case selection via discrepant features amplification for deep neural networks.

Zhouning Chen, Wendian Luo, Shengxin Dai, Qiuhui Yang, Bing Guo, Xuesen Lin

Neurocomputing, 2026

Semi-asynchronous energy-efficient federated prototype learning for end-edge-cloud architectures.

Wendian Luo, Tong Yu, Shengxin Dai, Bing Guo, Xuesen Lin, Yanglin Pu

Future Gener. Comput. Syst., 2026

2025

Distribution Centric Prompt-Based Transfer Learning for Few-Shot Spatiotemporal Forecasting.

Cheng Dai, Banglie Yang, Runze Li, Sha Xiang, Shuo Zhu, Tianli Zhu, Shengxin Dai, Bing Guo

IEEE Internet Things J., November, 2025

Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation.

Shoupeng Lu, Hao Yin, Peng Wang, Tianli Zhu, Cheng Dai, Shengxin Dai, Bing Guo

IEEE Trans. Intell. Transp. Syst., October, 2025

Federated Self-Supervised Learning Based on Prototypes Clustering Contrastive Learning for Internet of Vehicles Applications.

Cheng Dai, Shuai Wei, Shengxin Dai, Sahil Garg, Georges Kaddoum, M. Shamim Hossain

IEEE Internet Things J., March, 2025

Attention-based vector quantized variational autoencoder for anomaly detection by using orthogonal subspace constraints.

Qien Yu, Shengxin Dai, Ran Dong, Soichiro Ikuno

Pattern Recognit., 2025

Cross-city transfer learning for traffic forecasting via incremental distribution rectification.

Banglie Yang, Runze Li, Yijing Wang, Sha Xiang, Shuo Zhu, Cheng Dai, Shengxin Dai, Bing Guo

Knowl. Based Syst., 2025

Temporal action localization with State-Sensitive Mamba and centroid sequences enhancement.

Peng Wang, Shoupeng Lu, Cheng Dai, Shengxin Dai, Bing Guo

Neurocomputing, 2025

CESDet: Hard pedestrian object detection architecture based on the cognitive experience of structure of human body.

Yanglin Pu, Xiaohui Hao, Shan Yang, Hangyuan Yang, Shengxin Dai

Neurocomputing, 2025

A defense mechanism for federated learning in AIoT through critical gradient dimension extraction.

Jian Xu, Bing Guo, Fei Chen, Yan Shen, Shengxin Dai, Cheng Dai, Yuchuan Hu

Comput. Commun., 2025

2024

A Mutual-Influence-Aware Heuristic Method for Quantum Circuit Mapping.

Kui Ye, Shengxin Dai, Bing Guo, Yan Shen, Chuanjie Liu, Kejun Bi, Fei Chen, Yuchuan Hu, Mingjie Zhao

IEEE Trans. Computers, December, 2024

Energy-Efficient Inference With Software-Hardware Co-Design for Sustainable Artificial Intelligence of Things.

Shengxin Dai, Zheng Luo, Wendian Luo, Siyi Wang, Cheng Dai, Bing Guo, Xiaokang Zhou

IEEE Internet Things J., December, 2024

A nonlocal feature self-similarity based tensor completion method for video recovery.

Shoupeng Lu, Peng Wang, Wenhui Zhu, Cheng Dai, Ying Zhang, Chuanjie Liu, Shengxin Dai

Neurocomputing, 2024

Enhancing Sales Forecasting Accuracy in the Presence of Missing Data.

Jun Tang, Jingpeng Sun, Bing Guo, Yan Shen, Shengxin Dai, Peng Wang

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

A DNN Fuzz Testing Method Based on Gradient-Weighted Class Activation Map.

Zhouning Chen, Qiaoyun Liu, Shengxin Dai, Qiuhui Yang

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023

KRL_Match: knowledge graph objects matching for knowledge representation learning.

Xinhua Suo, Bing Guo, Yan Shen, Shengxin Dai, Wei Wang, Yaosen Chen, Zhen Zhang

Knowl. Inf. Syst., February, 2023

A Federated Learning Aggregation that Integrates Clustering and Momentum Correction Based on Historical High-Quality Gradients.

Jian Xu, Bing Guo, Fei Chen, Yan Shen, Shengxin Dai, Cheng Dai

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

FedCo: Self-Supervised Learning in Federated Learning with Momentum Contrast.

Shuai Wei, Guitao Cao, Cheng Dai, Shengxin Dai, Bing Guo

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Message from Dependability in Sensor, Cloud and Big Data System and Applications 2022 Program Chairs.

Nasrulloh R. B. S. Loka, Xueqin Liang, Shengxin Dai

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2017

A Comparative Study of Reliability-Ignorant and Reliability-Aware Energy Management Schemes Using UPPAAL-SMC.

Shengxin Dai, Mei Hong, Bing Guo

Sci. Program., 2017

Synthesizing power management strategies for wireless sensor networks with UPPAAL-STRATEGO.

Shengxin Dai, Mei Hong, Bing Guo

Int. J. Distributed Sens. Networks, 2017