Shengxin Dai

23 papers C 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
BDTest: A Diversity-Oriented Test Case Generation Framework for Deep Neural Networks in 6G-IOT.
IEEE Internet Things J.
Wendian Luo, Shengxin Dai, Cheng Dai, Bing Guo, Sherif Moussa, Mubarak Alrashoud
2026 J jnl
Context-aware and multi-view enhanced model for entity alignment.
Inf. Fusion
Yi Li, Fei Chen, Bing Guo, Yan Shen, Shengxin Dai, Bitao Hu
2026 J jnl
Semi-asynchronous energy-efficient federated prototype learning for end-edge-cloud architectures.
Future Gener. Comput. Syst.
Wendian Luo, Tong Yu, Shengxin Dai, Bing Guo, Xuesen Lin, Yanglin Pu
2026 J jnl
Test case selection via discrepant features amplification for deep neural networks.
Neurocomputing
Zhouning Chen, Wendian Luo, Shengxin Dai, Qiuhui Yang, Bing Guo, Xuesen Lin
2025 J jnl
A defense mechanism for federated learning in AIoT through critical gradient dimension extraction.
Comput. Commun.
Jian Xu, Bing Guo, Fei Chen, Yan Shen, Shengxin Dai, Cheng Dai, Yuchuan Hu
2025 J jnl
Attention-based vector quantized variational autoencoder for anomaly detection by using orthogonal subspace constraints.
Pattern Recognit.
Qien Yu, Shengxin Dai, Ran Dong, Soichiro Ikuno
2025 J jnl
CESDet: Hard pedestrian object detection architecture based on the cognitive experience of structure of human body.
Neurocomputing
Yanglin Pu, Xiaohui Hao, Shan Yang, Hangyuan Yang, Shengxin Dai
2025 J jnl
Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation.
IEEE Trans. Intell. Transp. Syst.
Shoupeng Lu, Hao Yin, Peng Wang, Tianli Zhu, Cheng Dai, Shengxin Dai, Bing Guo
2025 J jnl
Cross-city transfer learning for traffic forecasting via incremental distribution rectification.
Knowl. Based Syst.
Banglie Yang, Runze Li, Yijing Wang, Sha Xiang, Shuo Zhu, Cheng Dai, Shengxin Dai, Bing Guo
2025 J jnl
Distribution Centric Prompt-Based Transfer Learning for Few-Shot Spatiotemporal Forecasting.
IEEE Internet Things J.
Cheng Dai, Banglie Yang, Runze Li, Sha Xiang, Shuo Zhu, Tianli Zhu, Shengxin Dai, Bing Guo
2025 J jnl
Federated Self-Supervised Learning Based on Prototypes Clustering Contrastive Learning for Internet of Vehicles Applications.
IEEE Internet Things J.
Cheng Dai, Shuai Wei, Shengxin Dai, Sahil Garg, Georges Kaddoum, M. Shamim Hossain
2025 J jnl
Temporal action localization with State-Sensitive Mamba and centroid sequences enhancement.
Neurocomputing
Peng Wang, Shoupeng Lu, Cheng Dai, Shengxin Dai, Bing Guo
2024 C conf
A DNN Fuzz Testing Method Based on Gradient-Weighted Class Activation Map.
APSEC
Zhouning Chen, Qiaoyun Liu, Shengxin Dai, Qiuhui Yang
2024 J jnl
A Mutual-Influence-Aware Heuristic Method for Quantum Circuit Mapping.
IEEE Trans. Computers
Kui Ye, Shengxin Dai, Bing Guo, Yan Shen, Chuanjie Liu, Kejun Bi, Fei Chen, Yuchuan Hu, Mingjie Zhao
2024 J jnl
A nonlocal feature self-similarity based tensor completion method for video recovery.
Neurocomputing
Shoupeng Lu, Peng Wang, Wenhui Zhu, Cheng Dai, Ying Zhang, Chuanjie Liu, Shengxin Dai
2024 J jnl
Energy-Efficient Inference With Software-Hardware Co-Design for Sustainable Artificial Intelligence of Things.
IEEE Internet Things J.
Shengxin Dai, Zheng Luo, Wendian Luo, Siyi Wang, Cheng Dai, Bing Guo, Xiaokang Zhou
2024 — conf
Enhancing Sales Forecasting Accuracy in the Presence of Missing Data.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Jun Tang, Jingpeng Sun, Bing Guo, Yan Shen, Shengxin Dai, Peng Wang
2023 — conf
A Federated Learning Aggregation that Integrates Clustering and Momentum Correction Based on Historical High-Quality Gradients.
ISPA/BDCloud/SocialCom/SustainCom
Jian Xu, Bing Guo, Fei Chen, Yan Shen, Shengxin Dai, Cheng Dai
2023 J jnl
KRL_Match: knowledge graph objects matching for knowledge representation learning.
Knowl. Inf. Syst.
Xinhua Suo, Bing Guo, Yan Shen, Shengxin Dai, Wei Wang, Yaosen Chen, Zhen Zhang
2022 — conf
FedCo: Self-Supervised Learning in Federated Learning with Momentum Contrast.
HPCC/DSS/SmartCity/DependSys
Shuai Wei, Guitao Cao, Cheng Dai, Shengxin Dai, Bing Guo
2022 — conf
Message from Dependability in Sensor, Cloud and Big Data System and Applications 2022 Program Chairs.
HPCC/DSS/SmartCity/DependSys
Nasrulloh R. B. S. Loka, Xueqin Liang, Shengxin Dai
2017 J jnl
A Comparative Study of Reliability-Ignorant and Reliability-Aware Energy Management Schemes Using UPPAAL-SMC.
Sci. Program.
Shengxin Dai, Mei Hong, Bing Guo
2017 J jnl
Synthesizing power management strategies for wireless sensor networks with UPPAAL-STRATEGO.
Int. J. Distributed Sens. Networks
Shengxin Dai, Mei Hong, Bing Guo