个人简介
Lei Huang received his BSc and PhD degrees under supervision of Prof. Wei Li, respectively in 2010 and 2018, at the School of Computer Science and Engineering, Beihang University, China. From 2015 to 2016, he visited the Vision and Learning Lab, University of Michigan, Ann Arbor, as a joint PhD student supervised by Prof. Jia Deng. During 2018 to 2020, he was a research scientist in Inception Institute of Artificial Intelligence (IIAI), UAE. His current research mainly focuses on normalization techniques (involving methods, theories and applications) in training DNNs. He also has wide interests in deep learning theory (representation & optimization) and computers vision tasks. He serves as a reviewer for the top conferences and journals such as CVPR, ICML, ICCV, ECCV, NeurIPS, AAAI, JMLR, TPAMI, IJCV, TNNLS, etc.
Education
Sep. 2015 - Oct. 2016
Visiting Ph.D student in Vision & Learning Lab, at the University of Michigan, Ann Arbor
Research advisor: Profs. Jia Deng
Sep. 2011 - 2018
Ph.D student in Computer Science, School of Computer Science and Engineering, Beihang University
Advisor: Profs. Wei Li and co-advised by Profs. Bo Lang
Sep. 2010 - Sep. 2011
Master student in Computer Science, School of Computer Science and Engineering, Beihang University
Advisor: Profs. Wei Li and co-advised by Profs. Bo Lang
Sep. 2006 - Jun. 2010
B.Sc in Computer Science, School of Computer Science and Engineering, Beihang University
Thesis advisor: Profs. Wei Li
Awards and Honors
China Scholarship Council (CSC) Scholarship, 2015
The National Scholarship for Ph.D. candidate, 2014
The Guanghua Scholarship, 2013
Outstanding graduate, Beihang University. 2010
The Second Class Prize of the 2nd Beihang University Dancing Contest, 2010
The Second Class Prize of the 1st Beihang University Dancing Contest, 2008.
The Third Class Scholarship for Academic Performance in Beihang University, 2009
The Third Class Scholarship for Contest Excellence in Beihang University, 2008
The Third Class Prize of the 18th Mathematics Contest for College Students in Beijing, 2007
The Third Class Prize of the 24th National Physics Contest for College Students, 2007
The Second Class Scholarship for Excellent Freshman in Beihang University, 2006
近期论文
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Preprint:
Bin Wen, Jie Luo, Xianglong Liu, Lei Huang. Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. preprint arXiv:2002.00176. [Paper]
Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xianghong Fang, Changhu Wang. Deformable Tube Network for Action Detection in Videos. preprint arXiv:1907.01847. [Paper]
Lei Huang, Xianglong Liu, Bo Lang, Bo Li. Projection Based Weight Normalization for Deep Neural Networks. preprint arXiv:1710.02338. [Paper] [Code] [bibtex]
Adams Wei Yu, Lei Huang, Qihang Lin, Ruslan Salakhutdinov, Jaime Carbonell. Block-normalized Gradient Method: an Empirical Study for Training Deep Nerual Network. preprint arXiv:1707.04822. [Paper]
Peer-reviewed:
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao. Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE TPAMI. 2023 [Paper]
Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao. Towards Defending Multiple Lp-norm Bounded Adversarial Perturbations via Gated Batch Normalization. IJCV 2023. [Paper]
Yi Zhou, Lei Huang, Tao Zhou, Hanshi Sun. Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Generation Computer Systems. 2023
Xi Weng#, Lei Huang*#, Lei Zhao#, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan. An Investigation into Whitening Loss for Self-supervised Learning. Neurips 2022 (Spotlight). [Paper] [code]
Jiaxi Wang, Ji Wu, Lei Huang. Understanding the Failure of Batch Normalization for Transformers in NLP. Neurips 2022 (Spotlight). [Paper] [code]
Tian Wang, Boyao Hou, Zexian Li, Zhe Li, Lei Huang, Baochang Zhang, Hichem Snoussi. A Malleable Boundary Network for temporal action detection. Computers and Electrical Engineering. 2022
Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu. Delving into the Estimation Shift of Batch Normalization in a Network. CVPR 2022. [Paper] [code]
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Hancock Edwin. Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR 2022. [Paper] [code]
Ge Kan, Jinhu Lu, Tian Wang, Baochang Zhang, AichunZhu, Lei Huang, Guodong Guo, Hichem Snoussi. Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CVPR 2022. [Paper]
Tengwei Song, Jie Luo, Lei Huang. Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. NeurIPS 2021. [Paper] [code]
Yi Zhou, Lei Huang, Tao Zhou, Ling Shao. CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV 2021.
Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao. Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV 2021.
Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao. Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR 2021. [Paper] [code]
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. [Paper] [code]
Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang. Slimmable Generative Adversarial Networks. AAAI 2021. [Paper] [code]
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 Transactions on Medical Imaging 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. Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV 2020 (Oral). arXiv:2002.10801 [Paper] [Code]
Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao. Invertible Zero-Shot Recognition Flows. ECCV 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. [Paper] [Code]
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao. Controllable Orthogonalization in Training DNNs. CVPR 2020 (Oral, Best Paper Nomination ). [Paper] [Code]
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao. An Investigation into the Stochasticity of Batch Whitening. CVPR 2020 (Oral). [Paper] [Code]
Lei Zhao, Xiaohui Wang, Lei Huang. An Efficient Agreement Mechanism in CapsNets By Pairwise Product. ECAI 2020. [Paper] [Code]
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 Recognition, 2020.
Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Lei Huang, Mengyang Yu, Heng Tao Shen, Ling Shao. Deep Quantization Generative Networks. Pattern Recognition, 2020.
Lei Zhao, Lei Huang. Exploring Dynamic Routing As A Pooling Layer. IEEE International Conference on Computer Vision Workshops, 2019. [Paper]
Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao. Iterative Normalization: Beyond Standardization towards Efficient Whitening. CVPR 2019. [Paper] [Code] [bibtex]
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. [Paper]
Lei Huang, Yuqing Ma, Xianglong Liu. A general non-parametric active learning framework for classification on multiple manifolds. Pattern Recognition Letters, 2019.
Lei Huang, Dawei Yang, Bo Lang, Jia Deng . Decorrelated Batch Normalization. CVPR 2018. [Paper] [SupplementaryMaterial] [Code] [bibtex]
Lei Huang, Xianglong Liu, Bo Lang, Admas Wei Yu, Bo Li. Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. AAAI 2018 (Oral). [Paper] [Code] [bibtex]
Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao. Centered Weight Normalization in Accelerating Training of Deep Neural Networks. ICCV 2017. [Paper] [SupplementaryMaterial] [Code] [bibtex]
Bo Wu, Yang Liu, Bo Lang, Lei Huang. DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model. Neurocomputing, 2018 (arXiv:1712.03563).
Zepeng Gu, Bo Lang, Tongyu Yue, Lei Huang. Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks. The 24th International Conference on Neural Information Processing (ICONIP 2017), Oral.
Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao. Query-adaptive hash code ranking for large-scale multi-view visual search. IEEE Transactions on Image Processing (TIP), 2016.
Yang Liu, Lei Huang, Xianglong Liu, Bo Lang. A Novel Rotation Adaptive Object Detection Method Based on Pair Hough Model. Neurocomputing, 2016.
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.
Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang. Multi-View Complementary Hash Tables for Nearest Neighbor Search. ICCV 2015. [Paper] [Poster] [Spotlight] [bibtex]
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. [Paper] [Poster] [Code] [bibtex]
Lei Huang, Xianglong Liu, Binqiang Ma, Bo Lang. Online Semi-Supervised Annotation via Proxy-based Local Consistency Propagation. Neurocomputing, 2014. [Paper] [bibtex]
Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang. Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search. ACM Multimedia (short paper), 2014. [Paper] [Code] [bibtex]
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. Computer Methods and Programs in Biomedicine, 2014.
Mengyun Wang, Xianglong Liu, Lei Huang, Bo Lang, Hailiang Yu. Ontology-based Concept Similarity Integrating Image Semantic and Visual Information. The 4th International Workshop on Advances in Semantic Information Retrieval, 2014.
Lei Huang, Yang Wang, Xianglong Liu, Bo Lang. Efficient Semi-supervised Annotation with Proxy-based Local Consistency Propagation. ICME 2013. [Paper] [Poster] [bibtex]
Lei Huang, Yang Liu. BUAA AUDR at ImageCLEF 2012 Photo Annotation Task. CLEF Online Working Notes, 2012.
Xianglong Liu, Bo Lang, Wei Yu, Junwu Luo, Lei Huang. AUDR: An Advanced Unstructured Data Repository. The 6th International Conference on Pervasive Computing and Applications (ICPCA6) South Africa, 2011.
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