Shilong Bao

Orcid: 0000-0002-4336-8900

According to our database1, Shilong Bao authored at least 16 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation.
CoRR, 2024

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ReconBoost: Boosting Can Achieve Modality Reconcilement.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

AUC-Oriented Domain Adaptation: From Theory to Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Optimizing Two-Way Partial AUC With an End-to-End Framework.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022
Learning With Multiclass AUC: Theory and Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems.
Proceedings of the International Conference on Machine Learning, 2022

2021
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Collaborative Preference Embedding against Sparse Labels.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2013
The research on obstacle-surmounting capability of six-track robot with four swing arms.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013


  Loading...