Xinyang Chen

Orcid: 0000-0001-6743-838X

Affiliations:
  • Harbin Institute of Technology, Shenzhen, China


According to our database1, Xinyang Chen authored at least 9 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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2
3
4
5
4
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Recommender Transformers with Behavior Pathways.
Proceedings of the ACM on Web Conference 2024, 2024

Boosting Transferability and Discriminability for Time Series Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Representation Subspace Distance for Domain Adaptation Regression.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Progressive Adversarial Networks for Fine-Grained Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation.
Proceedings of the 36th International Conference on Machine Learning, 2019


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