Junyuan Shang
Orcid: 0000-0003-4301-750X
According to our database1,
Junyuan Shang
authored at least 29 papers
between 2017 and 2024.
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Bibliography
2024
Graph-Based Semantic Embedding Refinement for Zero-Shot Remote Sensing Image Scene Classification.
IEEE Trans. Aerosp. Electron. Syst., February, 2024
Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning.
Knowl. Based Syst., 2024
Consistent representation joint adaptive adjustment for incremental zero-shot learning.
Neurocomputing, 2024
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion.
CoRR, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2022
ACM Journal on Computing and Cultural Heritage, December, 2022
J. Vis. Commun. Image Represent., 2022
Few-shot domain adaptation through compensation-guided progressive alignment and bias reduction.
Appl. Intell., 2022
X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Asymmetric Adversarial-based Feature Disentanglement Learning for Cross-Database Micro-Expression Recognition.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
2021
Asymmetric alignment joint consistent regularization for multi-source domain adaptation.
Multim. Tools Appl., 2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.
CoRR, 2021
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.
CoRR, 2021
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.
Biomed. Signal Process. Control., 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence.
Sensors, 2020
Multim. Tools Appl., 2020
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.
Neurocomputing, 2020
IET Image Process., 2020
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.
Comput. Biol. Medicine, 2020
2019
Joint category-level and discriminative feature learning networks for unsupervised domain adaptation.
J. Intell. Fuzzy Syst., 2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.
CoRR, 2019
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction.
Proceedings of The 10th Asian Conference on Machine Learning, 2018
2017
ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks.
Proceedings of the Computing in Cardiology, 2017