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2020 – today
- 2024
[j21]Mohammed Lawal, Dewei Yi
:
Polar contrast attention and skip cross-channel aggregation for efficient learning in U-Net. Comput. Biol. Medicine 181: 109047 (2024)- [j20]Zhuoen Lu, Xun He, Dewei Yi, Jie Sui:
Temporal Properties of Self-Prioritization. Entropy 26(3): 242 (2024) - [j19]Dewei Yi, Hasan Bayarov Ahmedov, Shouyong Jiang, Yiren Li, Sean Joseph Flinn, Paul G. Fernandes:
Coordinate-Aware Mask R-CNN with Group Normalization: A underwater marine animal instance segmentation framework. Neurocomputing 583: 127488 (2024) - [j18]Thompson Iniakpokeikiye Peter, Ehud Reiter, Dewei Yi:
Smartphone-based extendable telematic data collection app. Softw. Impacts 19: 100601 (2024) - [j17]Dewei Yi, Petar Baltov, Yining Hua, Sam Philip, Pradip Kumar Sharma:
Compound Scaling Encoder-Decoder (CoSED) Network for Diabetic Retinopathy Related Bio-Marker Detection. IEEE J. Biomed. Health Informatics 28(4): 1959-1970 (2024) - [c5]Yiren Li, Pradip Kumar Sharma, Georgios Leontidis, Dewei Yi:
Accelerate Training of Personalised Multi-Task Federated Learning. ICAC 2024: 1-6 - 2023
- [j16]Mamatha Thota, Dewei Yi, Georgios Leontidis:
LLEDA - Lifelong Self-Supervised Domain Adaptation. Knowl. Based Syst. 279: 110959 (2023) - 2022
- [j15]Jinya Su, Dewei Yi, Matthew Coombes, Cunjia Liu, Xiaojun Zhai, Klaus Dieter McDonald-Maier, Wen-Hua Chen:
Spectral analysis and mapping of blackgrass weed by leveraging machine learning and UAV multispectral imagery. Comput. Electron. Agric. 192: 106621 (2022) - [j14]Dewei Yi, Hui Fang, Yining Hua, Jinya Su, Mohammed Quddus, Jungong Han:
Improving Synthetic to Realistic Semantic Segmentation With Parallel Generative Ensembles for Autonomous Urban Driving. IEEE Trans. Cogn. Dev. Syst. 14(4): 1496-1506 (2022) - [j13]Yining Hua, Dewei Yi:
Synthetic to Realistic Imbalanced Domain Adaption for Urban Scene Perception. IEEE Trans. Ind. Informatics 18(5): 3248-3255 (2022) - [j12]Yining Hua, Michele Sevegnani, Dewei Yi, Andrew Birnie, Steve McAslan:
Fine-Grained RNN With Transfer Learning for Energy Consumption Estimation on EVs. IEEE Trans. Ind. Informatics 18(11): 8182-8190 (2022) - [j11]Luc Le Mero, Dewei Yi, Mehrdad Dianati, Alexandros Mouzakitis:
A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23(9): 14128-14147 (2022) - [c4]Adinath Ghadage, Dewei Yi, George M. Coghill, Wei Pang:
Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions. ANNPR 2022: 40-52 - [c3]Debinal Rajan, Shouyong Jiang, Dewei Yi, Wei Pang, George M. Coghill:
Enhanced Affinity Propagation Clustering on Heterogeneous Information Network. UKCI 2022: 334-346 - [i2]Mamatha Thota, Dewei Yi, Georgios Leontidis:
LLEDA - Lifelong Self-Supervised Domain Adaptation. CoRR abs/2211.09027 (2022) - 2021
- [j10]Dewei Yi, Jinya Su, Wen-Hua Chen:
Probabilistic faster R-CNN with stochastic region proposing: Towards object detection and recognition in remote sensing imagery. Neurocomputing 459: 290-301 (2021) - [j9]Hasan Bayarov Ahmedov, Dewei Yi, Jie Sui:
Application of a brain-inspired deep imitation learning algorithm in autonomous driving. Softw. Impacts 10: 100165 (2021) - [j8]Jinya Su, Dewei Yi, Baofeng Su, Zhiwen Mi, Cunjia Liu, Xiaoping Hu, Xiangming Xu, Lei Guo, Wen-Hua Chen:
Aerial Visual Perception in Smart Farming: Field Study of Wheat Yellow Rust Monitoring. IEEE Trans. Ind. Informatics 17(3): 2242-2249 (2021) - [c2]Deniz Uzun, Dewei Yi:
Deep Ensembles for Semantic Segmentation on Road Detection. ICAC 2021: 1-6 - [i1]Hasan Bayarov Ahmedov, Dewei Yi, Jie Sui:
Brain-Inspired Deep Imitation Learning for Autonomous Driving Systems. CoRR abs/2107.14654 (2021) - 2020
- [j7]Weijun Lin, Xinghong Huang, Hui Fang, Victoria Wang, Yining Hua, Jingjie Wang, Haining Yin, Dewei Yi, Laihung Yau:
Blockchain Technology in Current Agricultural Systems: From Techniques to Applications. IEEE Access 8: 143920-143937 (2020) - [j6]Dewei Yi, Jinya Su, Liang Hu, Cunjia Liu, Mohammed Quddus, Mehrdad Dianati, Wen-Hua Chen:
Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues. IEEE Trans. Intell. Veh. 5(3): 397-413 (2020)
2010 – 2019
- 2019
- [j5]Dewei Yi, Jinya Su, Cunjia Liu, Wen-Hua Chen:
Trajectory Clustering Aided Personalized Driver Intention Prediction for Intelligent Vehicles. IEEE Trans. Ind. Informatics 15(6): 3693-3702 (2019) - [j4]Dewei Yi, Jinya Su, Cunjia Liu, Wen-Hua Chen:
New Driver Workload Prediction Using Clustering-Aided Approaches. IEEE Trans. Syst. Man Cybern. Syst. 49(1): 64-70 (2019) - [j3]Dewei Yi, Jinya Su, Cunjia Liu, Wen-Hua Chen:
Personalized Driver Workload Inference by Learning From Vehicle Related Measurements. IEEE Trans. Syst. Man Cybern. Syst. 49(1): 159-168 (2019) - 2017
- [j2]Jinya Su, Dewei Yi, Cunjia Liu, Lei Guo, Wen-Hua Chen:
Dimension Reduction Aided Hyperspectral Image Classification with a Small-sized Training Dataset: Experimental Comparisons. Sensors 17(12): 2726 (2017) - 2016
- [j1]Dewei Yi, H. Yang:
HEER - A delay-aware and energy-efficient routing protocol for wireless sensor networks. Comput. Networks 104: 155-173 (2016) - [c1]Dewei Yi, Jinya Su, Cunjia Liu, Wen-Hua Chen:
Data-driven situation awareness algorithm for vehicle lane change. ITSC 2016: 998-1003
Coauthor Index
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last updated on 2024-12-10 21:48 CET by the dblp team
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