Hongxin Wei

Orcid: 0000-0002-8973-2843

According to our database¹, Hongxin Wei authored at least 43 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Multiple-instance Learning from Triplet Comparison Bags.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, May, 2024

G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Learning with Noisy Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

TorchCP: A Library for Conformal Prediction based on PyTorch.

[BibT_eX]

[DOI]

Hongxin Wei

Jianguo Huang

CoRR, 2024

Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Learning Complexity for Downstream Data Pruning.

[BibT_eX]

[DOI]

CoRR, 2024

Open-Vocabulary Calibration for Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Does Confidence Calibration Help Conformal Prediction?

[BibT_eX]

[DOI]

CoRR, 2024

2023

Deep Learning From Multiple Noisy Annotators as A Union.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Natural robustness of machine learning in the open world

[BibT_eX]

[DOI]

Hongxin Wei

PhD thesis, 2023

Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Conformal Prediction for Deep Classifier via Label Ranking.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning.

[BibT_eX]

[DOI]

CoRR, 2023

On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regression with Cost-based Rejection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Logit Clipping for Robust Learning against Label Noise.

[BibT_eX]

[DOI]

CoRR, 2022

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Can Adversarial Training Be Manipulated By Non-Robust Features?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mitigating Neural Network Overconfidence with Logit Normalization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

α-MF Detection Based on Spatial Correlation of Sea Clutter.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multiple-Instance Learning from Similar and Dissimilar Bags.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Creating Efficient Blockchains for the Internet of Things by Coordinated Satellite-Terrestrial Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2020

Rethinking Blockchains in the Internet of Things Era from a Wireless Communication Perspective.

[BibT_eX]

[DOI]

IEEE Netw., 2020

MetaInfoNet: Learning Task-Guided Information for Sample Reweighting.

[BibT_eX]

[DOI]

CoRR, 2020

5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Queue-aware energy-efficient scheduling and power allocation with feedback reduction in small-cell networks.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2018

2016

Queue-aware energy-efficient scheduling and power allocation in small-cell networks with interference.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

2014

Feedback Reduction for Queue-aware Coordinated Multi-user Scheduling in Small-cell Networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Military Communications Conference, 2014

Queue-aware energy-efficient scheduling in small-cell networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2014

Hongxin Wei

Timeline

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On csauthors.net:

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