Xuefeng Du

Yixuan Li

CoRR, 2024

How Reliable Is Human Feedback For Aligning Large Language Models?

[BibT_eX]

[DOI]

CoRR, 2024

VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data.

[BibT_eX]

[DOI]

CoRR, 2024

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection.

[BibT_eX]

[DOI]

Chaowei Xiao

Yixuan Li

CoRR, 2024

Out-of-Distribution Learning with Human Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

The Ghanaian NLP Landscape: A First Look.

[BibT_eX]

[DOI]

CoRR, 2024

When and How Does In-Distribution Label Help Out-of-Distribution Detection?

[BibT_eX]

[DOI]

Yiyou Sun

Yixuan Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2023

Dream the Impossible: Outlier Imagination with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Non-Parametric Outlier Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Dream the Impossible: Outlier Imagination with Diffusion Models.

[BibT_eX]

[DOI]

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

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Non-parametric Outlier Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.

[BibT_eX]

[DOI]

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

SIREN: Shaping Representations for Detecting Out-of-Distribution Objects.

[BibT_eX]

[DOI]

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

VOS: Learning What You Don't Know by Virtual Outlier Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Few-Shot Learning for Palmprint Recognition via Meta-Siamese Network.

[BibT_eX]

[DOI]

Raymond N. J. Veldhuis

IEEE Trans. Instrum. Meas., 2021

Deep Distillation Hashing for Unconstrained Palmprint Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Cross-Domain Palmprint Recognition via Regularized Adversarial Domain Adaptive Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

A deep biometric hash learning framework for three advanced hand-based biometrics.

[BibT_eX]

[DOI]

IET Biom., 2021

PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography.

[BibT_eX]

[DOI]

Bioinform., 2021

Learning Diverse-Structured Networks for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

How to Save your Annotation Cost for Panoptic Segmentation?

[BibT_eX]

[DOI]

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

2020

Effective deep ensemble hashing for open-set palmprint recognition.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2020

Small-Group Learning, with Application to Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Skillearn: Machine Learning Inspired by Humans' Learning Skills.

[BibT_eX]

[DOI]

Hao Ban

CoRR, 2020

Learning by Passing Tests, with Application to Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing.

[BibT_eX]

[DOI]

CoRR, 2020

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A Hand-Based Multi-Biometrics via Deep Hashing Network and Biometric Graph Matching.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2019

Decade progress of palmprint recognition: A brief survey.

[BibT_eX]

[DOI]

Kuncai Zhong

Neurocomputing, 2019

Low-Shot Palmprint Recognition Based on Meta-Siamese Network.

[BibT_eX]

[DOI]

Pengna Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Cross-Domain Palmprint Recognition Based on Transfer Convolutional Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Building an Active Palmprint Recognition System.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Continual Palmprint Recognition Without Forgetting.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Efficient Deep Palmprint Recognition via Distilled Hashing Coding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Classification in Cryo-Electron Tomograms.

[BibT_eX]

[DOI]

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

2018

Palm Vein Recognition with Deep Hashing Network.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Palmprint Recognition Using Siamese Network.

[BibT_eX]

[DOI]

Yuan Yang

Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

2014

Tracking and Analysis of Hot Words and Posts for University Campus.

[BibT_eX]

[DOI]