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2020 – today
- 2026
[j16]Zhouning Chen, Wendian Luo, Shengxin Dai, Qiuhui Yang, Bing Guo, Xuesen Lin:
Test case selection via discrepant features amplification for deep neural networks. Neurocomputing 672: 132793 (2026)- [j15]Yi Li
, Fei Chen, Bing Guo, Yan Shen, Shengxin Dai, Bitao Hu:
Context-aware and multi-view enhanced model for entity alignment. Inf. Fusion 129: 103999 (2026) - 2025
- [j14]Jian Xu, Bing Guo, Fei Chen, Yan Shen, Shengxin Dai, Cheng Dai, Yuchuan Hu:
A defense mechanism for federated learning in AIoT through critical gradient dimension extraction. Comput. Commun. 236: 108114 (2025) - [j13]Peng Wang, Shoupeng Lu, Cheng Dai, Shengxin Dai, Bing Guo:
Temporal action localization with State-Sensitive Mamba and centroid sequences enhancement. Neurocomputing 620: 129246 (2025) - [j12]Yanglin Pu, Xiaohui Hao, Shan Yang, Hangyuan Yang, Shengxin Dai:
CESDet: Hard pedestrian object detection architecture based on the cognitive experience of structure of human body. Neurocomputing 656: 131429 (2025) - [j11]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 Things J. 12(5): 4692-4700 (2025) - [j10]Cheng Dai, Banglie Yang, Runze Li, Sha Xiang, Shuo Zhu, Tianli Zhu, Shengxin Dai, Bing Guo:
Distribution Centric Prompt-Based Transfer Learning for Few-Shot Spatiotemporal Forecasting. IEEE Internet Things J. 12(21): 45921-45924 (2025) - [j9]Banglie Yang, Runze Li, Yijing Wang, Sha Xiang, Shuo Zhu, Cheng Dai, Shengxin Dai, Bing Guo:
Cross-city transfer learning for traffic forecasting via incremental distribution rectification. Knowl. Based Syst. 315: 113336 (2025) - [j8]Qien Yu, Shengxin Dai, Ran Dong, Soichiro Ikuno:
Attention-based vector quantized variational autoencoder for anomaly detection by using orthogonal subspace constraints. Pattern Recognit. 164: 111500 (2025) - [j7]Shoupeng Lu, Hao Yin, Peng Wang, Tianli Zhu, Cheng Dai, Shengxin Dai, Bing Guo:
Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation. IEEE Trans. Intell. Transp. Syst. 26(10): 17790-17799 (2025) - 2024
- [j6]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 580: 127513 (2024) - [j5]Shengxin Dai, Zheng Luo, Wendian Luo, Siyi Wang, Cheng Dai, Bing Guo, Xiaokang Zhou:
Energy-Efficient Inference With Software-Hardware Co-Design for Sustainable Artificial Intelligence of Things. IEEE Internet Things J. 11(24): 39170-39182 (2024) - [j4]Kui Ye, Shengxin Dai, Bing Guo, Yan Shen, Chuanjie Liu, Kejun Bi, Fei Chen, Yuchuan Hu, Mingjie Zhao:
A Mutual-Influence-Aware Heuristic Method for Quantum Circuit Mapping. IEEE Trans. Computers 73(12): 2855-2867 (2024) - [c5]Zhouning Chen, Qiaoyun Liu, Shengxin Dai, Qiuhui Yang:
A DNN Fuzz Testing Method Based on Gradient-Weighted Class Activation Map. APSEC 2024: 1-10 - [c4]Jun Tang, Jingpeng Sun, Bing Guo, Yan Shen, Shengxin Dai, Peng Wang:
Enhancing Sales Forecasting Accuracy in the Presence of Missing Data. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2024: 105-111 - 2023
- [j3]Xinhua Suo, Bing Guo, Yan Shen, Shengxin Dai, Wei Wang, Yaosen Chen, Zhen Zhang:
KRL_Match: knowledge graph objects matching for knowledge representation learning. Knowl. Inf. Syst. 65(2): 641-681 (2023) - [c3]Jian Xu, Bing Guo, Fei Chen, Yan Shen, Shengxin Dai, Cheng Dai:
A Federated Learning Aggregation that Integrates Clustering and Momentum Correction Based on Historical High-Quality Gradients. ISPA/BDCloud/SocialCom/SustainCom 2023: 595-602 - 2022
- [c2]Shuai Wei, Guitao Cao, Cheng Dai, Shengxin Dai, Bing Guo:
FedCo: Self-Supervised Learning in Federated Learning with Momentum Contrast. HPCC/DSS/SmartCity/DependSys 2022: 1222-1227 - [c1]Nasrulloh R. B. S. Loka, Xueqin Liang, Shengxin Dai:
Message from Dependability in Sensor, Cloud and Big Data System and Applications 2022 Program Chairs. HPCC/DSS/SmartCity/DependSys 2022: lxxxiv
2010 – 2019
- 2017
- [j2]Shengxin Dai, Mei Hong, Bing Guo:
Synthesizing power management strategies for wireless sensor networks with UPPAAL-STRATEGO. Int. J. Distributed Sens. Networks 13(4) (2017) - [j1]Shengxin Dai, Mei Hong, Bing Guo:
A Comparative Study of Reliability-Ignorant and Reliability-Aware Energy Management Schemes Using UPPAAL-SMC. Sci. Program. 2017: 2621089:1-2621089:12 (2017)
Coauthor Index
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last updated on 2026-02-09 22:17 CET by the dblp team
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