Lei Huang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 57

Top Topics

Nearest Neighbor

Active Learning Framework

Top Venues

Publications

Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132 (6) (2024)
Huan Xiong, Lei Huang, Wenston J. T. Zang, Xiantong Zhen, Guo-Sen Xie, Bin Gu, Le Song
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan, Lei Huang
Modulate Your Spectrum in Self-Supervised Learning. ICLR (2024)
Yi Zhou, Lei Huang, Tao Zhou, Hanshi Sun
Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Gener. Comput. Syst. 141 (2023)
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. CoRR (2021)
Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI (2021)
Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging 40 (3) (2021)
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. CVPR (2021)
Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao
Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV (2021)
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
Slimmable Generative Adversarial Networks. AAAI (2021)
Lei Zhao, Lei Huang
An Investigation on Sparsity of CapsNets for Adversarial Robustness. AdvM @ ACM Multimedia (2021)
Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR (2021)
Yi Zhou, Lei Huang, Tao Zhou, Ling Shao
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV (2021)
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration. CoRR (2021)
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
Controllable Orthogonalization in Training DNNs. CoRR (2020)
Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
On the Number of Linear Regions of Convolutional Neural Networks. ICML (2020)
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
An Investigation into the Stochasticity of Batch Whitening. CoRR (2020)
Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Lei Huang, Mengyang Yu, Heng Tao Shen, Ling Shao
Deep quantization generative networks. Pattern Recognit. 105 (2020)
Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao
Invertible Zero-Shot Recognition Flows. ECCV (16) (2020)
Bin Wen, Jie Luo, Xianglong Liu, Lei Huang
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. CoRR (2020)
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR (2020)
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) (2020)
Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. 105 (2020)
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
Slimmable Generative Adversarial Networks. CoRR (2020)
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
Controllable Orthogonalization in Training DNNs. CVPR (2020)
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
An Investigation Into the Stochasticity of Batch Whitening. CVPR (2020)
Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR (2020)
Yuming Shen, Jie Qin, Lei Huang
Invertible Zero-Shot Recognition Flows. CoRR (2020)
Lei Zhao, Xiaohui Wang, Lei Huang
An Efficient Agreement Mechanism in CapsNets by Pairwise Product. ECAI (2020)
Lei Zhao, Xiaohui Wang, Lei Huang
An Efficient Agreement Mechanism in CapsNets By Pairwise Product. CoRR (2020)
Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, Ling Shao
Deep Local Binary Coding for Person Re-Identification by Delving into the Details. ACM Multimedia (2020)
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR (2020)
Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. CoRR (2020)
Lei Huang, Yuqing Ma, Xianglong Liu
A general non-parametric active learning framework for classification on multiple manifolds. Pattern Recognit. Lett. 130 (2020)
Lei Huang, Li Liu, Fan Zhu, Ling Shao
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CoRR (2020)
Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
On the Number of Linear Regions of Convolutional Neural Networks. CoRR (2020)
Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR (2019)
Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. CoRR (2019)
Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR (2019)
Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang
Deformable Tube Network for Action Detection in Videos. CoRR (2019)
Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR (2019)
Lei Zhao, Lei Huang
Exploring Dynamic Routing As A Pooling Layer. ICCV Workshops (2019)
Lei Huang, Dawei Yang, Bo Lang, Jia Deng
Decorrelated Batch Normalization. CoRR (2018)
Bo Wu, Yang Liu, Bo Lang, Lei Huang
DGCNN: Disordered graph convolutional neural network based on the Gaussian mixture model. Neurocomputing 321 (2018)
Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. AAAI (2018)
Lei Huang, Dawei Yang, Bo Lang, Jia Deng
Decorrelated Batch Normalization. CVPR (2018)
Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao
Centered Weight Normalization in Accelerating Training of Deep Neural Networks. ICCV (2017)
Lei Huang, Xianglong Liu, Bo Lang, Bo Li
Projection Based Weight Normalization for Deep Neural Networks. CoRR (2017)
Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Bo Li
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. CoRR (2017)
Bo Wu, Yang Liu, Bo Lang, Lei Huang
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model. CoRR (2017)
Zepeng Gu, Bo Lang, Tongyu Yue, Lei Huang
Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks. ICONIP (2) (2017)
Yang Liu, Lei Huang, Siqi Wang, Xianglong Liu, Bo Lang
Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree. ICPR (2016)
Yang Liu, Lei Huang, Xianglong Liu, Bo Lang
A novel rotation adaptive object detection method based on pair Hough model. Neurocomputing 194 (2016)
Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. IEEE Trans. Image Process. 25 (10) (2016)
Lei Huang, Xianglong Liu, Binqiang Ma, Bo Lang
Online semi-supervised annotation via proxy-based local consistency propagation. Neurocomputing 149 (2015)
Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang
Multi-View Complementary Hash Tables for Nearest Neighbor Search. ICCV (2015)
Mengyun Wang, Xianglong Liu, Lei Huang, Bo Lang, Hailiang Yu
Ontology-based Concept Similarity Integrating Image Semantic and Visual Information. FedCSIS (2014)
Lei Huang, Yang Liu, Xianglong Liu, Xindong Wang, Bo Lang
Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor. ICME (2014)
Hualei Shen, Dianfu Ma, Yongwang Zhao, Hailong Sun, Sujun Sun, Rongwei Ye, Lei Huang, Bo Lang, Yan Sun
MIAPS: A web-based system for remotely accessing and presenting medical images. Comput. Methods Programs Biomed. 113 (1) (2014)
Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang
Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search. ACM Multimedia (2014)
Lei Huang, Yang Wang, Xianglong Liu, Bo Lang
Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation. ICME (2013)
Lei Huang, Yang Liu
BUAA AUDR at ImageCLEF 2012 Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) (2012)