Ming Yan

Orcid: 0000-0002-5762-395X

Affiliations:
  • A*STAR, Centre for Frontier AI Research, Singapore
  • Sichuan University, College of Computer Science, Machine Intelligence Lab, Chengdu, China (former)


According to our database1, Ming Yan authored at least 28 papers between 2012 and 2024.

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Bibliography

2024
Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Spatio-temporal fusion graph convolutional network for traffic flow forecasting.
Inf. Fusion, April, 2024

RCT: Resource Constrained Training for Edge AI.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

SAR: Sharpness-Aware minimization for enhancing DNNs' Robustness against bit-flip errors.
J. Syst. Archit., 2024

Physics-Informed Neural Networks for Solving High-Index Differential-Algebraic Equation Systems Based on Radau Methods.
Int. J. Intell. Syst., 2024

Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images.
CoRR, 2024

Shortcuts Arising from Contrast: Effective and Covert Clean-Label Attacks in Prompt-Based Learning.
CoRR, 2024

Collaborative Knowledge Infusion for Low-resource Stance Detection.
CoRR, 2024

Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Semi-supervised partial label learning algorithm via reliable label propagation.
Appl. Intell., May, 2023

Physical Information Neural Networks for Solving High-index Differential-algebraic Equation Systems Based on Radau Methods.
CoRR, 2023

Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection.
CoRR, 2023

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things.
IEEE Trans. Ind. Informatics, 2022

Meta-learning for compressed language model: A multiple choice question answering study.
Neurocomputing, 2022

Enhanced gradient learning for deep neural networks.
IET Image Process., 2022

Attention-based Local Mean K-Nearest Centroid Neighbor Classifier.
Expert Syst. Appl., 2022

Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

2021
A survey on algorithms for intelligent computing and smart city applications.
Big Data Min. Anal., 2021

A K-Nearest Centroid Neighbor with attention Classifier.
Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

2020
Deep Neural Networks with Short Circuits for Improved Gradient Learning.
CoRR, 2020

Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm.
CoRR, 2020

Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Multi-view learning for benign epilepsy with centrotemporal spikes.
IET Comput. Vis., 2019

2018
Symmetric convolutional neural network for mandible segmentation.
Knowl. Based Syst., 2018

A Deep Learning Method for Prediction of Benign Epilepsy with Centrotemporal Spikes.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018

2012
The Canny Edge Detection and Its Improvement.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012


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