Yang Deng
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
Redistributed invariant redundant fractional wavelet transform and its application in watermarking algorithm.
Expert Syst. Appl., 2025
Expert Syst. Appl., 2025
2024
Mual: enhancing multimodal sentiment analysis with cross-modal attention and difference loss.
Int. J. Multim. Inf. Retr., September, 2024
An Optimized IWT-DCT Watermarking Scheme Based on Multiple Matrix Decomposition and MOWOA2.
Circuits Syst. Signal Process., August, 2024
Social Privacy-Preserving Modeling Based on Graphical Evolutionary Game and Infectious Disease Dissemination Dynamics.
IEEE Trans. Comput. Soc. Syst., June, 2024
MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits.
J. King Saud Univ. Comput. Inf. Sci., February, 2024
Enhancing requirements-to-code traceability with GA-XWCoDe: Integrating XGBoost, Node2Vec, and genetic algorithms for improving model performance and stability.
J. King Saud Univ. Comput. Inf. Sci., 2024
An empirical study on the state-of-the-art methods for requirement-to-code traceability link recovery.
J. King Saud Univ. Comput. Inf. Sci., 2024
A proximal policy optimization approach for food delivery problem with reassignment due to order cancellation.
Expert Syst. Appl., 2024
Combination of LiDAR detection and green integral method for calculating irregular cross-section geometric properties of deteriorated components in timber historic buildings.
Digit. Appl. Archaeol. Cult. Heritage, 2024
MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs.
CoRR, 2024
Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT.
CoRR, 2024
Behavioral Auction Mechanism of Construction Land Quota and Construction Land With Location Selection.
IEEE Access, 2024
MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery.
Proceedings of the International Joint Conference on Neural Networks, 2024
FDAPNet: Feature Denoising and Aggregation Prediction Network for Polyp Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024
PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024
BuildProg: Program Generation for Testing ML-based Building Load Forecasting models via LLM and Prompt Engineering.
Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024
Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning.
Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024
AugPlug: An Automated Data Augmentation Model to Enhance Online Building Load Forecasting.
Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024
Improving Cyber-Physical Building Energy System via Large-Scale Machine Learning Evaluation.
Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024
2023
Two-Step Matching Approach to Obtain More Control Points for SIFT-like Very-High-Resolution SAR Image Registration.
Sensors, April, 2023
Automated CT pancreas segmentation for acute pancreatitis patients by combining a novel object detection approach and U-Net.
Biomed. Signal Process. Control., March, 2023
Hemodynamic effects of intravenous bolus injection of iopromide 370 twice in abdominal contrast-enhanced CT and coronary CTA dual-site sequential examinations.
Medical Biol. Eng. Comput., 2023
A secure image encryption algorithm based on hyper-chaotic and bit-level permutation.
Expert Syst. Appl., 2023
Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification.
CoRR, 2023
A Systematic Mapping Study of Machine Learning Techniques Applied to Software Traceability.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
DF4RT: Deep Forest for Requirements Traceability Recovery Between Use Cases and Source Code.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Towards a Benchmark for ML-based Building Load Forecasting Model Selection for a Target Building.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study (S).
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023
2022
A Method of SAR Image Automatic Target Recognition Based on Convolution Auto-Encode and Support Vector Machine.
Remote. Sens., 2022
A novel sagittal craniosynostosis classification system based on multi-view learning algorithm.
Neural Comput. Appl., 2022
Diagnosis and classification prediction model of pituitary tumor based on machine learning.
Neural Comput. Appl., 2022
Nucleic Acids Res., 2022
Joint decision-making model of preventive maintenance and delayed monitoring SPC based on imperialist competitive algorithm.
J. Intell. Fuzzy Syst., 2022
Emoji-based Fine-grained Attention Network for Sentiment Analysis in the Microblog Comments.
CoRR, 2022
Hyperparameter-free deep active learning for regression problems via query synthesis.
CoRR, 2022
An Empirical Study on Source Code Feature Extraction in Preprocessing of IR-Based Requirements Traceability.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022
Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
2021
A Nonlinear Calibration Method Based on Sinusoidal Excitation and DFT Transformation for High-Precision Power Analyzers.
J. Sensors, 2021
A Coarse-to-Fine Framework for Automated Knee Bone and Cartilage Segmentation Data from the Osteoarthritis Initiative.
J. Digit. Imaging, 2021
Inverse deep learning methods and benchmarks for artificial electromagnetic material design.
CoRR, 2021
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography.
CoRR, 2021
An Advanced Automated Image Analysis Model for Scoring of ER, PR, HER-2 and Ki-67 in Breast Carcinoma.
IEEE Access, 2021
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021
Compressive Sensing with Optical Chaotic Encryption Based on Monolithic Silicon Chips.
Proceedings of the 21st International Conference on Communication Technology, 2021
Toward Understanding on the Regulatory Network of HBx-induced microRNA-187-5p in Hepatocellular Carcinoma: A Study based on Bioinformatics Analysis.
Proceedings of the ICBBT 2021: 13th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 21, 2021
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021
2020
IEEE Open J. Comput. Soc., 2020
Drawing openness to experience from user generated contents: An interpretable data-driven topic modeling approach.
Expert Syst. Appl., 2020
Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020
2019
IEEE Access, 2019
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
Fatigue Reliability Assessment for Orthotropic Steel Decks Based on Long-Term Strain Monitoring.
Sensors, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
2017
Long-Term In-Service Monitoring and Performance Assessment of the Main Cables of Long-Span Suspension Bridges.
Sensors, 2017
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017
2015
Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015
2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012