Lei Huang
Orcid: 0000-0003-0502-168XAffiliations:
- Inception Institute of Artificial Intelligence, Abu Dhabi, UAE
- Beihang University, State Key Laboratory of Software Development Environment, Beijing, China (PhD 2018)
According to our database1,
Lei Huang
authored at least 63 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Int. J. Comput. Vis., October, 2024
Towards Defending Multiple ℓ <sub>p</sub>-Norm Bounded Adversarial Perturbations via Gated Batch Normalization.
Int. J. Comput. Vis., June, 2024
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations.
IEEE Trans. Pattern Anal. Mach. Intell., 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Combating medical noisy labels by disentangled distribution learning and consistency regularization.
Future Gener. Comput. Syst., April, 2023
2022
Comput. Electr. Eng., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability.
IEEE Trans. Medical Imaging, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A general non-parametric active learning framework for classification on multiple manifolds.
Pattern Recognit. Lett., 2020
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs.
Pattern Recognit., 2020
CoRR, 2020
CoRR, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
DGCNN: Disordered graph convolutional neural network based on the Gaussian mixture model.
Neurocomputing, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
CoRR, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
IEEE Trans. Image Process., 2016
Neurocomputing, 2016
Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Neurocomputing, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
Comput. Methods Programs Biomed., 2014
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014
Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014
2013
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013
2012
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012