Yuguang Yan

Orcid: 0000-0001-9879-4758

According to our database1, Yuguang Yan authored at least 41 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Debiased Model-based Interactive Recommendation.
CoRR, 2024

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

An Optimal Transport View for Subspace Clustering and Spectral Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth.
IEEE Trans. Medical Imaging, December, 2023

Multicomponent Adversarial Domain Adaptation: A General Framework.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hypergraph Collaborative Network on Vertices and Hyperedges.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders.
IEEE Trans. Serv. Comput., 2023

Identifying Semantic Component for Robust Molecular Property Prediction.
CoRR, 2023

Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Generalization Bound for Estimating Causal Effects from Observational Network Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Transferable Feature Selection for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2022

Iterative Refinement for Multi-Source Visual Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2022

Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold.
IEEE Trans. Knowl. Data Eng., 2021

Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval.
IEEE J. Biomed. Health Informatics, 2021

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching.
IEEE Trans. Image Process., 2021

Joint Visual and Semantic Optimization for zero-shot learning.
Knowl. Based Syst., 2021

Weighing features of lung and heart regions for thoracic disease classification.
BMC Medical Imaging, 2021

2020
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation.
ACM Trans. Intell. Syst. Technol., 2020

Multi-component transfer metric learning for handling unrelated source domain samples.
Knowl. Based Syst., 2020

Geometric Knowledge Embedding for unsupervised domain adaptation.
Knowl. Based Syst., 2020

Deep Reinforcement Active Learning for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Online Heterogeneous Transfer Learning by Knowledge Transition.
ACM Trans. Intell. Syst. Technol., 2019

Informative Feature Selection for Domain Adaptation.
IEEE Access, 2019

Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Attention Guided Network for Retinal Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Conditional Adversarial Transfer for Glaucoma Diagnosis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Oversampling for Imbalanced Data via Optimal Transport.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions.
IEEE Trans. Neural Networks Learn. Syst., 2018

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Cartoon-to-Photo Facial Translation with Generative Adversarial Networks.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.
IEEE Trans. Knowl. Data Eng., 2017

Online transfer learning by leveraging multiple source domains.
Knowl. Inf. Syst., 2017

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

On the Flatness of Loss Surface for Two-layered ReLU Networks.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2014
CogRSim: A Robotic Simulator Software.
Proceedings of the Intelligent Robotics and Applications - 7th International Conference, 2014


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