Shell Xu Hu

Orcid: 0000-0002-6005-3943

According to our database1, Shell Xu Hu authored at least 25 papers between 2015 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Compressing Features for Learning With Noisy Labels.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science.
CoRR, 2024

Feed-Forward Latent Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Recurrent Early Exits for Federated Learning with Heterogeneous Clients.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MobileQuant: Mobile-friendly Quantization for On-device Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods.
CoRR, 2023

Augmenting CLIP with Improved Visio-Linguistic Reasoning.
CoRR, 2023

Learning Where and When to Reason in Neuro-Symbolic Inference.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022
Federated Learning for Inference at Anytime and Anywhere.
CoRR, 2022

Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention.
CoRR, 2022

Fisher SAM: Information Geometry and Sharpness Aware Minimisation.
Proceedings of the International Conference on Machine Learning, 2022

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Re-ranking for image retrieval and transductive few-shot classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AvaTr: One-Shot Speaker Extraction with Transformers.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Boosting Co-Teaching With Compression Regularization for Label Noise.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Exploring weight symmetry in deep neural networks.
Comput. Vis. Image Underst., 2019

Variational Information Distillation for Knowledge Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Exploring Weight Symmetry in Deep Neural Network.
CoRR, 2018

2015
Tree-Cut for Probabilistic Image Segmentation.
CoRR, 2015


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