BUAA AUDR at ImageCLEF 2012 Photo Annotation Task. - Lei Huang 015; Yang Liu 088 (CLEF (Online Working Notes/Labs/Workshop), 2012)

Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation. - Lei Huang 015; Yang Wang; Xianglong Liu 001; Bo Lang (ICME, 2013)

Ontology-based Concept Similarity Integrating Image Semantic and Visual Information. - Mengyun Wang; Xianglong Liu 001; Lei Huang 015; Bo Lang; Hailiang Yu (FedCSIS, 2014)

Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor. - Lei Huang 015; Yang Liu 088; Xianglong Liu 001; Xindong Wang; Bo Lang (ICME, 2014)

Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search. - Tianxu Ji; Xianglong Liu 001; Cheng Deng; Lei Huang 015; Bo Lang (ACM Multimedia, 2014)

MIAPS: A web-based system for remotely accessing and presenting medical images. - Hualei Shen; Dianfu Ma; Yongwang Zhao; Hailong Sun 001; Sujun Sun; Rongwei Ye; Lei Huang 015; Bo Lang; Yan Sun (Comput. Methods Programs Biomed., 2014)

Multi-View Complementary Hash Tables for Nearest Neighbor Search. - Xianglong Liu 001; Lei Huang 015; Cheng Deng; Jiwen Lu; Bo Lang (ICCV, 2015)

Online semi-supervised annotation via proxy-based local consistency propagation. - Lei Huang 015; Xianglong Liu 001; Binqiang Ma; Bo Lang (Neurocomputing, 2015)

Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree. - Yang Liu 088; Lei Huang 015; Siqi Wang; Xianglong Liu 001; Bo Lang (ICPR, 2016)

A novel rotation adaptive object detection method based on pair Hough model. - Yang Liu 088; Lei Huang 015; Xianglong Liu 001; Bo Lang (Neurocomputing, 2016)

Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. - Xianglong Liu 001; Lei Huang 015; Cheng Deng; Bo Lang; Dacheng Tao (IEEE Trans. Image Process., 2016)

Centered Weight Normalization in Accelerating Training of Deep Neural Networks. - Lei Huang 015; Xianglong Liu 001; Yang Liu 088; Bo Lang; Dacheng Tao (ICCV, 2017)

Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks. - Zepeng Gu; Bo Lang; Tongyu Yue; Lei Huang 015 (ICONIP (2), 2017)

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. - Lei Huang 015; Xianglong Liu 001; Bo Lang; Adams Wei Yu; Bo Li 026 (CoRR, 2017)

Projection Based Weight Normalization for Deep Neural Networks. - Lei Huang 015; Xianglong Liu 001; Bo Lang; Bo Li 026 (CoRR, 2017)

Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. - Lei Huang 015; Xianglong Liu 001; Bo Lang; Adams Wei Yu; Yongliang Wang; Bo Li 026 (AAAI, 2018)

Decorrelated Batch Normalization. - Lei Huang 015; Dawei Yang; Bo Lang; Jia Deng 001 (CVPR, 2018)

DGCNN: Disordered graph convolutional neural network based on the Gaussian mixture model. - Bo Wu 021; Yang Liu 088; Bo Lang; Lei Huang 015 (Neurocomputing, 2018)

Iterative Normalization: Beyond Standardization Towards Efficient Whitening. - Lei Huang 015; Yi Zhou 007; Fan Zhu 001; Li Liu 004; Ling Shao 001 (CVPR, 2019)

Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. - Yi Zhou 007; Xiaodong He 004; Lei Huang 015; Li Liu 004; Fan Zhu 001; Shanshan Cui; Ling Shao 001 (CVPR, 2019)

Exploring Dynamic Routing As A Pooling Layer. - Lei Zhao; Lei Huang 015 (ICCV Workshops, 2019)

Deformable Tube Network for Action Detection in Videos. - Wei Li 084; Zehuan Yuan; Dashan Guo; Lei Huang 015; Xiangzhong Fang; Changhu Wang (CoRR, 2019)

Controllable Orthogonalization in Training DNNs. - Lei Huang 015; Li Liu 004; Fan Zhu 001; Diwen Wan; Zehuan Yuan; Bo Li 026; Ling Shao 001 (CVPR, 2020)

An Investigation Into the Stochasticity of Batch Whitening. - Lei Huang 015; Lei Zhao; Yi Zhou 007; Fan Zhu 001; Li Liu 004; Ling Shao 001 (CVPR, 2020)

An Efficient Agreement Mechanism in CapsNets by Pairwise Product. - Lei Zhao; Xiaohui Wang; Lei Huang 015 (ECAI, 2020)

Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. - Lei Huang 015; Jie Qin; Li Liu 004; Fan Zhu 001; Ling Shao 001 (ECCV (2), 2020)

Invertible Zero-Shot Recognition Flows. - Yuming Shen; Jie Qin; Lei Huang 015; Li Liu 004; Fan Zhu 001; Ling Shao 001 (ECCV (16), 2020)

On the Number of Linear Regions of Convolutional Neural Networks. - Huan Xiong; Lei Huang 015; Mengyang Yu; Li Liu 004; Fan Zhu 001; Ling Shao 001 (ICML, 2020)

Deep Local Binary Coding for Person Re-Identification by Delving into the Details. - Jiaxin Chen 002; Jie Qin; Yichao Yan; Lei Huang 015; Li Liu 004; Fan Zhu 001; Ling Shao 001 (ACM Multimedia, 2020)

Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. - Bin Wen; Jie Luo 004; Xianglong Liu 001; Lei Huang 015 (CoRR, 2020)

Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. - Lei Huang 015; Jie Qin; Li Liu 004; Fan Zhu 001; Ling Shao 001 (CoRR, 2020)

Invertible Zero-Shot Recognition Flows. - Yuming Shen; Jie Qin; Lei Huang 015 (CoRR, 2020)

Group Whitening: Balancing Learning Efficiency and Representational Capacity. - Lei Huang 015; Li Liu 004; Fan Zhu 001; Ling Shao 001 (CoRR, 2020)

Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. - Aishan Liu; Shiyu Tang; Xianglong Liu 001; Xinyun Chen; Lei Huang 015; Zhuozhuo Tu; Dawn Song; Dacheng Tao (CoRR, 2020)

Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. - Lei Huang 015; Xianglong Liu 001; Jie Qin; Fan Zhu 001; Li Liu 004; Ling Shao 001 (Pattern Recognit., 2020)

Deep quantization generative networks. - Diwen Wan; Fumin Shen; Li Liu 004; Fan Zhu 001; Lei Huang 015; Mengyang Yu; Heng Tao Shen; Ling Shao 001 (Pattern Recognit., 2020)

A general non-parametric active learning framework for classification on multiple manifolds. - Lei Huang 015; Yuqing Ma; Xianglong Liu 001 (Pattern Recognit. Lett., 2020)

Slimmable Generative Adversarial Networks. - Liang Hou; Zehuan Yuan; Lei Huang 015; Huawei Shen; Xueqi Cheng; Changhu Wang (AAAI, 2021)

Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. - Yi Zhou 007; Lei Huang 015; Tianfei Zhou; Ling Shao 001 (AAAI, 2021)

Group Whitening: Balancing Learning Efficiency and Representational Capacity. - Lei Huang 015; Yi Zhou 007; Li Liu 004; Fan Zhu 001; Ling Shao 001 (CVPR, 2021)

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. - Zhiqiang Shen; Zechun Liu; Jie Qin; Lei Huang 015; Kwang-Ting Cheng; Marios Savvides (CVPR, 2021)

CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. - Yi Zhou 007; Lei Huang 015; Tao Zhou 002; Ling Shao 001 (ICCV, 2021)

Visual-Textual Attentive Semantic Consistency for Medical Report Generation. - Yi Zhou 007; Lei Huang 015; Tao Zhou 002; Huazhu Fu; Ling Shao 001 (ICCV, 2021)

An Investigation on Sparsity of CapsNets for Adversarial Robustness. - Lei Zhao; Lei Huang 015 (AdvM @ ACM Multimedia, 2021)

Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. - Tengwei Song; Jie Luo 004; Lei Huang 015 (NeurIPS, 2021)

A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability. - Yi Zhou 007; Boyang Wang; Lei Huang 015; Shanshan Cui; Ling Shao 001 (IEEE Trans. Medical Imaging, 2021)

Delving into the Estimation Shift of Batch Normalization in a Network. - Lei Huang 015; Yi Zhou 007; Tian Wang 002; Jie Luo 004; Xianglong Liu 001 (CVPR, 2022)

Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. - Ge Kan; Jinhu Lü; Tian Wang 002; Baochang Zhang 001; Aichun Zhu; Lei Huang 015; Guodong Guo; Hichem Snoussi (CVPR, 2022)

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. - Jiawei Zhang; Xiang Wang 014; Xiao Bai 001; Chen Wang 026; Lei Huang 015; Yimin Chen; Lin Gu 003; Jun Zhou 001; Tatsuya Harada; Edwin R. Hancock (CVPR, 2022)

Understanding the Failure of Batch Normalization for Transformers in NLP. - Jiaxi Wang; Ji Wu 002; Lei Huang 015 (NeurIPS, 2022)

An Investigation into Whitening Loss for Self-supervised Learning. - Xi Weng; Lei Huang 015; Lei Zhao; Rao Muhammad Anwer; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2022)

A Malleable Boundary Network for temporal action detection. - Tian Wang 002; Boyao Hou; Zexian Li; Zhe Li; Lei Huang 015; Baochang Zhang 001; Hichem Snoussi (Comput. Electr. Eng., 2022)

Combating medical noisy labels by disentangled distribution learning and consistency regularization. - Yi Zhou 007; Lei Huang 015; Tao Zhou 002; Hanshi Sun (Future Gener. Comput. Syst., 2023)

Normalization Techniques in Training DNNs: Methodology, Analysis and Application. - Lei Huang 015; Jie Qin; Yi Zhou 007; Fan Zhu 001; Li Liu 004; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Robust Synthetic-to-Real Transfer for Stereo Matching. - Jiawei Zhang; Jiahe Li 007; Lei Huang 015; Xiaohan Yu 001; Lin Gu 003; Jin Zheng; Xiao Bai 001 (CVPR, 2024)

CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization. - Jiawei Zhang; Jiahe Li 007; Xiaohan Yu 001; Lei Huang 015; Lin Gu 003; Jin Zheng; Xiao Bai 001 (ECCV (1), 2024)

Modulate Your Spectrum in Self-Supervised Learning. - Xi Weng; Yunhao Ni; Tengwei Song; Jie Luo 004; Rao Muhammad Anwer; Salman Khan 001; Fahad Khan 001; Lei Huang 015 (ICLR, 2024)

On the Nonlinearity of Layer Normalization. - Yunhao Ni; Yuxin Guo; Junlong Jia; Lei Huang 015 (ICML, 2024)

TinyLLaVA: A Framework of Small-scale Large Multimodal Models. - Baichuan Zhou; Ying Hu; Xi Weng; Junlong Jia; Jie Luo 004; Xien Liu; Ji Wu 002; Lei Huang 015 (CoRR, 2024)

TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models. - Junlong Jia; Ying Hu; Xi Weng; Yiming Shi; Miao Li 003; Xingjian Zhang 007; Baichuan Zhou; Ziyu Liu; Jie Luo 004; Lei Huang 015; Ji Wu 002 (CoRR, 2024)

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. - Zonghao Ying; Aishan Liu; Siyuan Liang; Lei Huang 015; Jinyang Guo; Wenbo Zhou; Xianglong Liu 001; Dacheng Tao (CoRR, 2024)

Bench-CoE: a Framework for Collaboration of Experts from Benchmark. - Yuanshuai Wang; Xingjian Zhang 007; Jinkun Zhao; Siwei Wen; Peilin Feng; Shuhao Liao; Lei Huang 015; Wenjun Wu (CoRR, 2024)

On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations. - Huan Xiong; Lei Huang 015; Wenston J. T. Zang; Xiantong Zhen; Guo-Sen Xie; Bin Gu 001; Le Song (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Defending Multiple ℓ p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. - Aishan Liu; Shiyu Tang; Xinyun Chen; Lei Huang 015; Haotong Qin; Xianglong Liu 001; Dacheng Tao (Int. J. Comput. Vis., 2024)

Exploring the Usage of Pre-trained Features for Stereo Matching. - Jiawei Zhang; Lei Huang 015; Xiao Bai 001; Jin Zheng; Lin Gu 003; Edwin R. Hancock (Int. J. Comput. Vis., 2024)

Understanding Whitening Loss in Self-Supervised Learning. - Lei Huang 015; Yunhao Ni; Xi Weng; Rao Muhammad Anwer; Salman Khan 001; Ming-Hsuan Yang 001; Fahad Khan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TinyLLaVA-Video: A Simple Framework of Small-scale Large Multimodal Models for Video Understanding. - Xingjian Zhang 007; Xi Weng; Yihao Yue; Zhaoxin Fan; Wenjun Wu; Lei Huang 015 (CoRR, 2025)

TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning. - Xingjian Zhang 007; Siwei Wen; Wenjun Wu; Lei Huang 015 (CoRR, 2025)

Parallel Layer Normalization for Universal Approximation. - Yunhao Ni; Yuhe Liu; Wenxin Sun; Yitong Tang; Yuxin Guo; Peilin Feng; Wenjun Wu; Lei Huang 015 (CoRR, 2025)

EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity. - Xingjian Zhang 007; Siwei Wen; Wenjun Wu; Lei Huang 015 (CoRR, 2025)

Understanding the Dimensional Need of Noncontrastive Learning. - Zhexiao Cao; Lei Huang 015; Tian Wang 002; Yinquan Wang; Jingang Shi; Aichun Zhu; Tianyun Shi; Hichem Snoussi (IEEE Trans. Cybern., 2025)