Huang, Lei

36 publications

ICLR 2026 Deep Global-Sense Hard-Negative Discriminative Generation Hashing for Cross-Modal Retrieval Kun Cheng, Qibing Qin, Wenfeng Zhang, Lei Huang, Jie Nie

ICML 2025 Clustering Properties of Self-Supervised Learning Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang

AAAI 2025 Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He

NeurIPS 2024 A Versatile Informative Diffusion Model for Single-Cell ATAC-Seq Data Generation and Analysis Lei Huang, Lei Xiong, Na Sun, Zunpeng Liu, Ka-Chun Wong, Manolis Kellis

ECCV 2024 CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai

NeurIPS 2024 Discrete Modeling via Boundary Conditional Diffusion Processes Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin

CPAL 2024 FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie

ICLR 2024 Modulate Your Spectrum in Self-Supervised Learning Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Khan, Lei Huang

ICML 2024 On the Nonlinearity of Layer Normalization Yunhao Ni, Yuxin Guo, Junlong Jia, Lei Huang

CVPR 2024 Robust Synthetic-to-Real Transfer for Stereo Matching Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai

CoRL 2024 VIRL: Self-Supervised Visual Graph Inverse Reinforcement Learning Lei Huang, Weijia Cai, Zihan Zhu, Chen Feng, Helge Rhodin, Zhengbo Zou

AAAI 2023 MDM: Molecular Diffusion Model for 3D Molecule Generation Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong

NeurIPS 2022 An Investigation into Whitening Loss for Self-Supervised Learning Xi Weng, Lei Huang, Lei Zhao, Rao Anwer, Salman H Khan, Fahad Shahbaz Khan

CVPR 2022 Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi

CVPR 2022 Delving into the Estimation Shift of Batch Normalization in a Network Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu

CVPR 2022 Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock

NeurIPS 2022 Understanding the Failure of Batch Normalization for Transformers in NLP Jiaxi Wang, Ji Wu, Lei Huang

ICCV 2021 CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis Yi Zhou, Lei Huang, Tao Zhou, Ling Shao

CVPR 2021 Group Whitening: Balancing Learning Efficiency and Representational Capacity Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao

AAAI 2021 Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao

NeurIPS 2021 Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding Tengwei Song, Jie Luo, Lei Huang

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, Kwang-Ting Cheng, Marios Savvides

AAAI 2021 Slimmable Generative Adversarial Networks Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang

ICCV 2021 Visual-Textual Attentive Semantic Consistency for Medical Report Generation Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao

CVPR 2020 An Investigation into the Stochasticity of Batch Whitening Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

CVPR 2020 Controllable Orthogonalization in Training DNNs Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao

ECCV 2020 Invertible Zero-Shot Recognition Flows Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao

ECCV 2020 Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

ICML 2020 On the Number of Linear Regions of Convolutional Neural Networks Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao

CVPR 2019 Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao

ICCVW 2019 Exploring Dynamic Routing as a Pooling Layer Lei Zhao, Lei Huang

CVPR 2019 Iterative Normalization: Beyond Standardization Towards Efficient Whitening Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

CVPR 2018 Decorrelated Batch Normalization Lei Huang, Dawei Yang, Bo Lang, Jia Deng

AAAI 2018 Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li

ICCV 2017 Centered Weight Normalization in Accelerating Training of Deep Neural Networks Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao

ICCV 2015 Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang