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Lei Huang 0015
雷黄
Person information
- unicode name: 雷黄
- affiliation: Inception Institute of Artificial Intelligence, Abu Dhabi, UAE
- affiliation (PhD 2018): Beihang University, State Key Laboratory of Software Development Environment, Beijing, China
Other persons with the same name
- Lei Huang — disambiguation page
- Lei Huang 0001
— Shenzhen University, College of Information Engineering, China (and 5 more)
- Lei Huang 0002 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Lei Huang 0003
- Lei Huang 0004
- Lei Huang 0005
- Lei Huang 0006 — University of Houston, Department of Computer Sciences, TX, USA
- Lei Huang 0007
- Lei Huang 0008
- Lei Huang 0009
- Lei Huang 0010
- Lei Huang 0011 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Lei Huang 0012
- Lei Huang 0013
- Lei Huang 0014
- Lei Huang 0016 — Beijing Jiaotong University, School of Economics and Management, Department of Information Management, Beijing, China
- Lei Huang 0017 — Loyola Marymount University, Department of Electrical Engineering and Computer Science, Los Angeles, CA, USA (and 1 more)
- Lei Huang 0018 — IBM Almaden Research, San Jose, CA, USA (and 1 more)
- Lei Huang 0019
- Lei Vincent Huang
- Lei Huang 0021
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2020 – today
- 2024
- [j16]Aishan Liu
Towards Defending Multiple ℓ p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132(6): 1881-1898 (2024) - [j15]Jiawei Zhang, Lei Huang
Exploring the Usage of Pre-trained Features for Stereo Matching. Int. J. Comput. Vis. 132(10): 4305-4326 (2024) - [j14]Huan Xiong
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5131-5148 (2024) - [j13]Lei Huang
Understanding Whitening Loss in Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9479-9492 (2024) - [c38]Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai:
Robust Synthetic-to-Real Transfer for Stereo Matching. CVPR 2024: 20247-20257 - [c37]Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai:
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization. ECCV (1) 2024: 335-352 - [c36]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 - [c35]Yunhao Ni, Yuxin Guo, Junlong Jia, Lei Huang:
On the Nonlinearity of Layer Normalization. ICML 2024 - [i34]Baichuan Zhou, Ying Hu, Xi Weng, Junlong Jia, Jie Luo, Xien Liu, Ji Wu, Lei Huang:
TinyLLaVA: A Framework of Small-scale Large Multimodal Models. CoRR abs/2402.14289 (2024) - [i33]Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai:
Robust Synthetic-to-Real Transfer for Stereo Matching. CoRR abs/2403.07705 (2024) - [i32]Junlong Jia, Ying Hu, Xi Weng, Yiming Shi, Miao Li, Xingjian Zhang, Baichuan Zhou, Ziyu Liu, Jie Luo, Lei Huang, Ji Wu:
TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models. CoRR abs/2405.11788 (2024) - [i31]Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai:
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization. CoRR abs/2405.12110 (2024) - [i30]Yunhao Ni, Yuxin Guo, Junlong Jia, Lei Huang:
On the Nonlinearity of Layer Normalization. CoRR abs/2406.01255 (2024) - [i29]Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao:
SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. CoRR abs/2410.18927 (2024) - 2023
- [j12]Yi Zhou
Combating medical noisy labels by disentangled distribution learning and consistency regularization. Future Gener. Comput. Syst. 141: 567-576 (2023) - [j11]Lei Huang
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10173-10196 (2023) - [i28]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. CoRR abs/2305.16789 (2023) - 2022
- [j10]Tian Wang, Boyao Hou, Zexian Li, Zhe Li, Lei Huang, Baochang Zhang, Hichem Snoussi:
A Malleable Boundary Network for temporal action detection. Comput. Electr. Eng. 103: 108250 (2022) - [c34]Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu:
Delving into the Estimation Shift of Batch Normalization in a Network. CVPR 2022: 753-762 - [c33]Jiawei Zhang
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR 2022: 12991-13001 - [c32]Ge Kan, Jinhu Lü
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CVPR 2022: 18439-18448 - [c31]Jiaxi Wang, Ji Wu, Lei Huang:
Understanding the Failure of Batch Normalization for Transformers in NLP. NeurIPS 2022 - [c30]Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
An Investigation into Whitening Loss for Self-supervised Learning. NeurIPS 2022 - [i27]Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu:
Delving into the Estimation Shift of Batch Normalization in a Network. CoRR abs/2203.10778 (2022) - [i26]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CoRR abs/2203.10887 (2022) - [i25]Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi:
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. CoRR abs/2203.14702 (2022) - [i24]Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
An Investigation into Whitening Loss for Self-supervised Learning. CoRR abs/2210.03586 (2022) - [i23]Jiaxi Wang, Ji Wu, Lei Huang:
Understanding the Failure of Batch Normalization for Transformers in NLP. CoRR abs/2210.05153 (2022) - 2021
- [j9]Yi Zhou
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. IEEE Trans. Medical Imaging 40(3): 818-828 (2021) - [c29]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. AAAI 2021: 768-776 - [c28]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. AAAI 2021: 7746-7753 - [c27]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. CVPR 2021: 2165-2174 - [c26]Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CVPR 2021: 9512-9521 - [c25]Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu
Visual-Textual Attentive Semantic Consistency for Medical Report Generation. ICCV 2021: 3965-3974 - [c24]Yi Zhou, Lei Huang, Tao Zhou, Ling Shao:
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. ICCV 2021: 8240-8250 - [c23]Lei Zhao, Lei Huang:
An Investigation on Sparsity of CapsNets for Adversarial Robustness. AdvM @ ACM Multimedia 2021: 55-61 - [c22]Tengwei Song, Jie Luo, Lei Huang:
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. NeurIPS 2021: 24695-24706 - [i22]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 abs/2102.08946 (2021) - [i21]Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. CoRR abs/2102.13269 (2021) - [i20]Tengwei Song, Jie Luo, Lei Huang:
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. CoRR abs/2110.14450 (2021) - 2020
- [j8]Lei Huang
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. 105: 107317 (2020) - [j7]Diwen Wan
Deep quantization generative networks. Pattern Recognit. 105: 107338 (2020) - [j6]Lei Huang, Yuqing Ma, Xianglong Liu
A general non-parametric active learning framework for classification on multiple manifolds. Pattern Recognit. Lett. 130: 250-258 (2020) - [c21]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CVPR 2020: 6428-6437 - [c20]Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
An Investigation Into the Stochasticity of Batch Whitening. CVPR 2020: 6438-6447 - [c19]Lei Zhao, Xiaohui Wang, Lei Huang:
An Efficient Agreement Mechanism in CapsNets by Pairwise Product. ECAI 2020: 1722-1729 - [c18]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) 2020: 384-401 - [c17]Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Invertible Zero-Shot Recognition Flows. ECCV (16) 2020: 614-631 - [c16]Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. ICML 2020: 10514-10523 - [c15]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: 3034-3043 - [i19]Bin Wen, Jie Luo, Xianglong Liu, Lei Huang:
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. CoRR abs/2002.00176 (2020) - [i18]Lei Huang
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i17]Lei Huang
An Investigation into the Stochasticity of Batch Whitening. CoRR abs/2003.12327 (2020) - [i16]Lei Zhao, Xiaohui Wang, Lei Huang:
An Efficient Agreement Mechanism in CapsNets By Pairwise Product. CoRR abs/2004.00272 (2020) - [i15]Lei Huang
Controllable Orthogonalization in Training DNNs. CoRR abs/2004.00917 (2020) - [i14]Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. CoRR abs/2006.00978 (2020) - [i13]Yuming Shen, Jie Qin, Lei Huang:
Invertible Zero-Shot Recognition Flows. CoRR abs/2007.04873 (2020) - [i12]Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao:
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. CoRR abs/2008.09772 (2020) - [i11]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR abs/2009.12836 (2020) - [i10]Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Group Whitening: Balancing Learning Efficiency and Representational Capacity. CoRR abs/2009.13333 (2020) - [i9]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 abs/2012.01654 (2020) - [i8]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. CoRR abs/2012.05660 (2020)
2010 – 2019
- 2019
- [c14]Yi Zhou, Xiaodong He
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. CVPR 2019: 2079-2088 - [c13]Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. CVPR 2019: 4874-4883 - [c12]Lei Zhao, Lei Huang:
Exploring Dynamic Routing As A Pooling Layer. ICCV Workshops 2019: 738-742 - [i7]Lei Huang
Iterative Normalization: Beyond Standardization towards Efficient Whitening. CoRR abs/1904.03441 (2019) - [i6]Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao:
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. CoRR abs/1904.08623 (2019) - [i5]Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang:
Deformable Tube Network for Action Detection in Videos. CoRR abs/1907.01847 (2019) - 2018
- [j5]Bo Wu, Yang Liu, Bo Lang, Lei Huang:
DGCNN: Disordered graph convolutional neural network based on the Gaussian mixture model. Neurocomputing 321: 346-356 (2018) - [c11]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: 3271-3278 - [c10]Lei Huang, Dawei Yang, Bo Lang, Jia Deng:
Decorrelated Batch Normalization. CVPR 2018: 791-800 - [i4]Lei Huang
Decorrelated Batch Normalization. CoRR abs/1804.08450 (2018) - 2017
- [c9]Lei Huang, Xianglong Liu
Centered Weight Normalization in Accelerating Training of Deep Neural Networks. ICCV 2017: 2822-2830 - [c8]Zepeng Gu, Bo Lang, Tongyu Yue, Lei Huang:
Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks. ICONIP (2) 2017: 276-285 - [i3]Lei Huang
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. CoRR abs/1709.06079 (2017) - [i2]Lei Huang, Xianglong Liu, Bo Lang, Bo Li:
Projection Based Weight Normalization for Deep Neural Networks. CoRR abs/1710.02338 (2017) - [i1]Bo Wu, Yang Liu, Bo Lang, Lei Huang:
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model. CoRR abs/1712.03563 (2017) - 2016
- [j4]Yang Liu, Lei Huang, Xianglong Liu
A novel rotation adaptive object detection method based on pair Hough model. Neurocomputing 194: 246-259 (2016) - [j3]Xianglong Liu
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. IEEE Trans. Image Process. 25(10): 4514-4524 (2016) - [c7]Yang Liu, Lei Huang, Siqi Wang, Xianglong Liu
Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree. ICPR 2016: 1929-1934 - 2015
- [j2]Lei Huang, Xianglong Liu
Online semi-supervised annotation via proxy-based local consistency propagation. Neurocomputing 149: 1573-1586 (2015) - [c6]Xianglong Liu
Multi-View Complementary Hash Tables for Nearest Neighbor Search. ICCV 2015: 1107-1115 - 2014
- [j1]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): 266-283 (2014) - [c5]Mengyun Wang, Xianglong Liu, Lei Huang, Bo Lang, Hailiang Yu:
Ontology-based Concept Similarity Integrating Image Semantic and Visual Information. FedCSIS 2014: 289-296 - [c4]Lei Huang, Yang Liu, Xianglong Liu
Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor. ICME 2014: 1-6 - [c3]Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang:
Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search. ACM Multimedia 2014: 1005-1008 - 2013
- [c2]Lei Huang, Yang Wang, Xianglong Liu
Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation. ICME 2013: 1-6 - 2012
- [c1]Lei Huang, Yang Liu:
BUAA AUDR at ImageCLEF 2012 Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) 2012
Coauthor Index
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last updated on 2024-12-10 20:49 CET by the dblp team
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