Lei Huang

Orcid: 0000-0003-0502-168X

Affiliations:
  • 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 49 papers between 2012 and 2023.

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Bibliography

2023
Normalization Techniques in Training DNNs: Methodology, Analysis and Application.
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
Delving into the Estimation Shift of Batch Normalization in a Network.
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

Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Investigation on Sparsity of CapsNets for Adversarial Robustness.
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

Visual-Textual Attentive Semantic Consistency for Medical Report Generation.
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

Group Whitening: Balancing Learning Efficiency and Representational Capacity.
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

Slimmable Generative Adversarial Networks.
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

Deep quantization generative networks.
Pattern Recognit., 2020

Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs.
Pattern Recognit., 2020

Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization.
CoRR, 2020

Group Whitening: Balancing Learning Efficiency and Representational Capacity.
CoRR, 2020

Invertible Zero-Shot Recognition Flows.
CoRR, 2020

Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis.
CoRR, 2020

Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction.
CoRR, 2020

Deep Local Binary Coding for Person Re-Identification by Delving into the Details.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

On the Number of Linear Regions of Convolutional Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Invertible Zero-Shot Recognition Flows.
Proceedings of the Computer Vision - ECCV 2020, 2020

Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs.
Proceedings of the Computer Vision - ECCV 2020, 2020

An Efficient Agreement Mechanism in CapsNets by Pairwise Product.
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

An Investigation Into the Stochasticity of Batch Whitening.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Controllable Orthogonalization in Training DNNs.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deformable Tube Network for Action Detection in Videos.
CoRR, 2019

Exploring Dynamic Routing As A Pooling Layer.
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

Iterative Normalization: Beyond Standardization Towards Efficient Whitening.
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

Decorrelated Batch Normalization.
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
Projection Based Weight Normalization for Deep Neural Networks.
CoRR, 2017

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
CoRR, 2017

Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Centered Weight Normalization in Accelerating Training of Deep Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search.
IEEE Trans. Image Process., 2016

A novel rotation adaptive object detection method based on pair Hough model.
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
Online semi-supervised annotation via proxy-based local consistency propagation.
Neurocomputing, 2015

Multi-View Complementary Hash Tables for Nearest Neighbor Search.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
MIAPS: A web-based system for remotely accessing and presenting medical images.
Comput. Methods Programs Biomed., 2014

Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search.
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

Ontology-based Concept Similarity Integrating Image Semantic and Visual Information.
Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

2013
Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

2012
BUAA AUDR at ImageCLEF 2012 Photo Annotation Task.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012


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