Dewei Yi

Research output

Research output per year 2014 2022 2023 2023

• 22 Article
• 5 Unpublished paper
• 4 Published conference contribution
• 1 Abstract
• 1 More
  • 1 Preprint

Research output per year

Research output per year

Search results

• 2023

  LLEDA—Lifelong Self-Supervised Domain Adaptation

  Thota, M., Yi, D. & Leontidis, G., 4 Nov 2023, In: Knowledge-Based Systems. 279, c, 11 p., 110959.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  1 Downloads (Pure)

• Compound Scaling Encoder-Decoder (CoSED) Network for Diabetic Retinopathy Related Bio-marker Detection

  Yi, D., Baltov, P., Hua, Y., Philip, S. & Sharma, P., 31 Aug 2023, (Accepted/In press) In: IEEE journal of biomedical and health informatics.

  Research output: Contribution to journal › Article › peer-review

• A Deep Learning Approach to Self-prioritization Processing

  Lu, Z., Yi, D., He, X. & Sui, J., 12 Aug 2023, (Accepted/In press).

  Research output: Contribution to conference › Unpublished paper › peer-review

  • Deep Learning 100%
  • Down-Regulation 51%
  • Psychological Phenomena 48%
  • Neurosciences 38%
  • Electronic Data Processing 36%

• Domain-adapted driving scene understanding with uncertainty-aware and diversified generative adversarial networks

  Hua, Y., Sui, J., Fang, H., Hu, C. & Yi, D., 8 Jul 2023, (E-pub ahead of print) In: CAAI Transactions on Intelligence Technology. 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Labeled data 100%
  • Pixels 95%
  • Uncertainty 80%
  • Labels 72%
  • Autonomous vehicles 45%

• Domain-adapted Driving Scene Understanding with Uncertainty-aware and Diversified GANs

  Hua, Y., Sui, J., Fang, H., Hu, C. & Yi, D., 23 May 2023, (Accepted/In press) In: CAAI Transactions on Intelligence Technology.

  Research output: Contribution to journal › Article › peer-review

  • Labeled data 100%
  • Uncertainty 80%
  • Labels 72%
  • Pixels 63%
  • Autonomous vehicles 45%

• MFANet: Mixed Feature Attention Network for Port Lane Detection

  Zhang, J., Su, J., Yi, D. & Yang, J., 2 Apr 2023, (Accepted/In press).

  Research output: Contribution to conference › Unpublished paper › peer-review

• Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions

  Ghadage, A., Yi, D., Coghill, G. & Pang, W., 2023, Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Proceedings: Lecture Notes in Computer Science. El Gayar, N., Trentin, E., Ravanelli, M. & Abbas, H. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 13739. p. 40-52 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13739 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  File

  • Fairness 100%
  • Learning algorithms 65%
  • Machine learning 57%
  • Data-driven 38%
  • Pipelines 29%
• 2022

  Improving Synthetic to Realistic Semantic Segmentation with Parallel Generative Ensembles for Autonomous Urban Driving

  Yi, D., Fang, H., Hua, Y., Su, J., Quddus, M. A. & Han, J., 1 Dec 2022, In: IEEE Transactions on Cognitive and Developmental Systems. 14, 4, p. 1496-1506 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Labeled data 100%
  • Semantics 87%
  • Deep neural networks 82%
  • Pixels 63%
  • Autonomous vehicles 45%
  2 Citations (Scopus)

• LLEDA - Lifelong Self-Supervised Domain Adaptation

  Thota, M., Yi, D. & Leontidis, G., 12 Nov 2022, ArXiv, 10 p.

  Research output: Working paper › Preprint

  Open Access

  File

  • System theory 100%
  • Supervised learning 93%
  • Learning systems 90%
  • Labels 75%
  • Pixels 66%
  13 Downloads (Pure)

• Smartrawl “Eye”: a vision-based technique for fish detection and species identification

  Yi, D. & Fernandes, P. G., 8 Nov 2022. 1 p.

  Research output: Contribution to conference › Abstract › peer-review

  • fish 100%
  • detection 97%
  • bycatch 93%
  • fishing 72%
  • fishery 67%

• Fine-grained RNN with Transfer Learning for Energy Consumption Estimation on EVs

  Hua, Y., Sevegnani, M., Yi, D., Birnie, A. & Mcaslan, S., Nov 2022, In: IEEE Transactions on Industrial Informatics. 18, 11, p. 8182-8190 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Transfer learning 100%
  • Electric vehicles 76%
  • Energy utilization 59%
  • Trajectories 19%
  • Hybrid vehicles 14%
  6 Citations (Scopus)

• A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles

  Le Mero, L., Yi, D., Dianati, M. & Mouzakitis, A., Sept 2022, In: IEEE Transactions on Intelligent Transportation Systems. 23, 9, p. 14128-14147 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Autonomous vehicles 100%
  • Cloning 41%
  • Reinforcement learning 31%
  • Demonstrations 25%
  • Simulators 22%
  26 Citations (Scopus)

• Enhanced Affinity Propagation Clustering on Heterogeneous Information Network

  Rajan, D., Jiang, S., Yi, D., Pang, W. & Coghill, G., 15 Aug 2022, (Accepted/In press).

  Research output: Contribution to conference › Unpublished paper › peer-review

  • Semantics 100%
  • Scalability 59%
  • Damping 55%

• Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions

  Ghadage, A., Yi, D., Coghill, G. & Pang, W., 5 Aug 2022, (Accepted/In press).

  Research output: Contribution to conference › Unpublished paper › peer-review

  Open Access

  File

  • Learning algorithms 100%
  • Machine learning 88%
  • Pipelines 45%
  • Decision making 43%
  • Classifiers 42%
  1 Downloads (Pure)

• Synthetic to Realistic Imbalanced Domain Adaption for Urban Scene Perception

  Hua, Y. & Yi, D., 31 May 2022, In: IEEE Transactions on Industrial Informatics. 18, 5, p. 3248 - 3255 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Semantics 100%
  • Labeled data 86%
  • Deep neural networks 71%
  • Pixels 55%
  3 Citations (Scopus)

• Neural Connectivity Underlying Reward and Emotion-Related Processing: Evidence From a Large-Scale Network Analysis

  Yankouskaya, A., Denholm-Smith, T., Yi, D., Greenshaw, A., Cao, B. & Sui, J., 7 Apr 2022, In: Frontiers in Systems Neuroscience. 16, 12 p., 833625.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Emotions 81%
  • Emotional Regulation 17%
  • Brain 14%
  • Neuroimaging 13%
  • Decision Making 12%
  1 Citation (Scopus)

  2 Downloads (Pure)

• Cooperative Multiagent Attentional Communication for Large-Scale Task Space

  Zou, Q., Hu, Y., Yi, D., Gao, B., Qin, J. & Chen, C-H. (ed.), 24 Jan 2022, In: Wireless Communications and Mobile Computing. 2022, 13 p., 4401653 .

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Communication 100%
  • Decision making 41%
  • Reinforcement learning 28%
  • Logistics 25%
  • Mobile robots 25%
  5 Downloads (Pure)

• Spectral analysis and mapping of blackgrass weed by leveraging machine learning and UAV multispectral imagery

  Su, J., Yi, D., Coombes, M., Liu, C., Zhai, X., McDonald-Maier, K. & Chen, W. H., 1 Jan 2022, In: Computers and Electronics in Agriculture. 192, 11 p., 106621.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • multispectral imagery 100%
  • unmanned aerial vehicles 85%
  • artificial intelligence 72%
  • weed 68%
  • Spectrum analysis 62%
  19 Citations (Scopus)

  4 Downloads (Pure)
• 2021

  Application of a Brain-Inspired Deep Imitation Learning Algorithm in Autonomous Driving

  Ahmedov, H. B., Yi, D. & Sui, J., 1 Nov 2021, In: Software Impacts. 10, 5 p., 100165.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep learning 100%
  • Learning algorithms 92%
  • Brain 92%
  • Neural networks 16%
  • Networks (circuits) 15%
  19 Downloads (Pure)

• Probabilistic Faster R-CNN with Stochastic Region Proposing: Towards Object Detection and Recognition in Remote Sensing Imagery

  Yi, D., Su, J. & Chen, W. H., 7 Oct 2021, In: Neurocomputing. 459, p. 290-301 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Grasshoppers 100%
  • Object recognition 73%
  • Remote sensing 72%
  • Object detection 72%
  • Image classification 29%
  23 Citations (Scopus)

  5 Downloads (Pure)

• Aerial Visual Perception in Smart Farming: Field Study of Wheat Yellow Rust Monitoring

  Su, J., Yi, D., Su, B., Mi, Z., Liu, C., Hu, X., Xu, X., Guo, L. & Chen, W-H., Mar 2021, In: IEEE Transactions on Industrial Informatics. 17, 3, p. 2242-2249 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Antennas 100%
  • Monitoring 87%
  • Drones 66%
  • Crops 57%
  • Agriculture 56%
  79 Citations (Scopus)

  20 Downloads (Pure)

• Deep Ensembles for Semantic Segmentation on Road Detection

  Uzun, D. & Yi, D., 2021, Proceedings of the 26 th International Conference on Automation & Computing: System Intelligence through Automation and Computing, ICAC 2021. Yang, C. (ed.). IEEE Explore, (2021 26th International Conference on Automation and Computing: System Intelligence through Automation and Computing, ICAC 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  File

  • Segmentation 100%
  • Ensemble 82%
  • Semantics 70%
  • Roads 68%
  • Data Augmentation 64%
  1 Citation (Scopus)

  4 Downloads (Pure)
• 2020

  Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues

  Yi, D., Su, J., Hu, L., Liu, C., Quddus, M. A., Dianati, M. & Chen, W-H., 30 Sept 2020, In: IEEE Transactions on Intelligent Vehicles. 5, 3, p. 397-413 17 p., 8936867.

  Research output: Contribution to journal › Article › peer-review

  • Personalization 100%
  • Driver 72%
  • Monitoring System 30%
  • Research and Development 25%
  • Categorization 24%
  20 Citations (Scopus)

• Blockchain technology in current agricultural systems: From Techniques to Applications

  Lin, W., Huang, X., Fang, H., Wang, V., Hua, Y., Wang, J., Yin, H., Yi, D. & Yau, L., 5 Aug 2020, In: IEEE Access. 8, p. 143920-143937 18 p., 9159588.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Blockchain 100%
  • Food 48%
  • Agriculture 37%
  • Application 26%
  • Food supply 26%
  86 Citations (Scopus)

  18 Downloads (Pure)
• 2019

  A machine learning based personalized system for driving state recognition

  Yi, D., Su, J., Liu, C., Quddus, M. & Chen, W-H., Aug 2019, In: Transportation Research Part C: Emerging Technologies. 105, p. 241-261 21 p.

  Research output: Contribution to journal › Article › peer-review

  • Machine Learning 100%
  • Learning systems 77%
  • Machine learning 55%
  • driver 54%
  • Data visualization 43%
  53 Citations (Scopus)

• Trajectory Clustering Aided Personalized Driver Intention Prediction for Intelligent Vehicles

  Yi, D., Su, J., Liu, C. & Chen, W-H., Jun 2019, In: IEEE Transactions on Industrial Informatics. 15, 6, p. 3693-3702 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Polynomial regression 100%
  • Intelligent vehicle highway systems 89%
  • Trajectories 50%
  • Classifiers 33%
  43 Citations (Scopus)

• Locust Recognition and Detection via Aggregate Channel Features

  Yi, D., Su, J. & Chen, W-H., 24 Jan 2019, UK-RAS19 Conference: ‘Embedded Intelligence: Enabling & Supporting RAS Technologies’ PROCEEDINGS. Leicester, UK: UK-RAS Network, p. 112-115 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  Open Access

  • Detectors 100%
  • Agricultural products 92%
  • Experiments 22%

• New Driver Workload Prediction Using Clustering-Aided Approaches

  Yi, D., Su, J., Liu, C. & Chen, W-H., Jan 2019, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49, 1, p. 64-70 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Intelligent vehicle highway systems 100%
  • Labeled data 94%
  • Experiments 28%
  11 Citations (Scopus)

• Personalized Driver Workload Inference by Learning From Vehicle Related Measurements

  Yi, D., Su, J., Liu, C. & Chen, W-H., Jan 2019, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49, 1, p. 159-168 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Driver training 100%
  • Advanced driver assistance systems 82%
  • Information systems 51%
  • Support vector machines 50%
  • Machine learning 46%
  23 Citations (Scopus)

  5 Downloads (Pure)
• 2017

  Dimension Reduction Aided Hyperspectral Image Classification with a Small-sized Training Dataset: Experimental Comparisons

  Su, J., Yi, D., Liu, C., Guo, L. & Chen, W-H., Dec 2017, In: Sensors. 17, 12, 20 p., 2726.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • image classification 100%
  • Image classification 63%
  • education 58%
  • Principal component analysis 55%
  • Support Vector Machine 54%
  39 Citations (Scopus)

  7 Downloads (Pure)
• 2016

  HEER: A delay-aware and energy-efficient routing protocol for wireless sensor networks

  Yi, D. & Yang, H., 20 Jul 2016, In: Computer Networks. 104, p. 155-173 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Routing protocols 100%
  • Wireless sensor networks 83%
  • Network protocols 72%
  • Data communication systems 19%
  • Energy efficiency 16%
  57 Citations (Scopus)

• Data-Driven Situation Awareness Algorithm for Vehicle Lane Change

  Yi, D., Su, J., Liu, C. & Chen, W-H., 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE Press, p. 998-1003 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

  • Kalman filters 100%
  • Unsupervised learning 61%
  • Supervised learning 57%
  • Statistical methods 45%
  • Learning algorithms 45%
  7 Citations (Scopus)
• 2014

  Remotely Controlled Vacuum Cleaning Robot Implementing Point to Point Cleaning Artificial Intelligent Action

  Yi, D., Yang, H. & Yi, H., 20 Dec 2014.

  Research output: Contribution to conference › Unpublished paper › peer-review