| 2026 | AAAI | Task-Specific Distance Correlation Matching for Few-Shot Action Recognition. | Fei Long, Yao Zhang, Jiaming Lv, Jiangtao Xie, Peihua Li |
| 2026 | COCOON | Parameterized Approximation Algorithms for Dominating Set and Power Dominating Set By Using Leafage. | Peihua Li, Jiong Guo |
| 2025 | CVPR | TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. | Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu |
| 2025 | CVPR | ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning. | Haoyuan Yang, Xiaoou Li, Jiaming Lv, Xianjun Cheng, Qilong Wang, Peihua Li |
| 2025 | ICCV | DALIP: Distribution Alignment-Based Language-Image Pre-Training for Domain-Specific Data. | Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu |
| 2025 | ICML | BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition. | Fei Long, Xiaoou Li, Jiaming Lv, Haoyuan Yang, Xianjun Cheng, Peihua Li |
| 2022 | CVPR | Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. | Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li |
| 2022 | FAW | Possible and Necessary Winner Problems in Iterative Elections with Multiple Rules. | Peihua Li, Jiong Guo |
| 2022 | ISAAC | Parameterized Approximation Algorithms for TSP. | Jianqi Zhou, Peihua Li, Jiong Guo |
| 2020 | CVPR | ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. | Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu |
| 2020 | CVPR | What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. | Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu |
| 2019 | CVPR | Global Second-Order Pooling Convolutional Networks. | Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li |
| 2019 | CVPR | Deep Global Generalized Gaussian Networks. | Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo |
| 2018 | CVPR | Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. | Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao |
| 2018 | CVPR | Multi-Scale Location-Aware Kernel Representation for Object Detection. | Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo |
| 2017 | CVPR | G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. | Qilong Wang, Peihua Li, Lei Zhang |
| 2017 | CVPR | Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. | Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo |
| 2017 | ICCV | Is Second-Order Information Helpful for Large-Scale Visual Recognition? | Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo |
| 2017 | ICIP | Part-based convolutional neural network for visual recognition. | Lingxiao Yang, Xiaohua Xie, Peihua Li, David Zhang, Lei Zhang |
| 2016 | CVPR | RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. | Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang |
| 2015 | CVPR | From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. | Peihua Li, Xiaoxiao Lu, Qilong Wang |
| 2015 | ICIP | Ask the dictionary: Soft-assignment location-orientation pooling for image classification. | Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang |
| 2015 | ICIP | High-order information for robust iris recognition under less controlled conditions. | Guanglei Yang, Hui Zeng, Peihua Li, Lei Zhang |
| 2014 | ECCV | Shrinkage Expansion Adaptive Metric Learning. | Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li |
| 2013 | ICCV | A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. | Peihua Li, Qilong Wang, Lei Zhang |
| 2013 | ICCV | Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. | Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang |
| 2013 | ICIG | Variational Earth Mover's Distance for Image Segmentation. | Peihua Li, Qilong Wang |
| 2012 | ACCV | Robust Registration-Based Tracking by Sparse Representation with Model Update. | Peihua Li, Qilong Wang |
| 2012 | ECCV | Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. | Peihua Li, Qilong Wang |
| 2012 | ICPR | Iris recognition using ordinal encoding of Log-Euclidean covariance matrices. | Peihua Li, Guolong Wu |
| 2009 | IBPRIA | Mean Shift Parallel Tracking on GPU. | Peihua Li, Lijuan Xiao |
| 2008 | ICPR | An incremental method for accurate iris segmentation. | Peihua Li, Xiaomin Liu |
| 2008 | ICPR | Improvement on Mean Shift based tracking using second-order information. | Lijuan Xiao, Peihua Li |
| 2006 | ACCV | Histogram Features-Based Fisher Linear Discriminant for Face Detection. | Haijing Wang, Peihua Li, Tianwen Zhang |
| 2006 | ICPR | A clustering Based Color Model and Fast Algorithm for Object Tracking. | Peihua Li |
| 2005 | IBPRIA | Probabilistic Object Tracking Based on Machine Learning and Importance Sampling. | Peihua Li, Haijing Wang |
| 2005 | ICIP | Novel likelihood estimation technique based on boosting detector. | Haijing Wang, Peihua Li, Tianwen Zhang |
| 2005 | ICRA | A Shape Tracking Algorithm for Visual Servoing. | Peihua Li, Franois Chaumette, Omar Tahri |
| 2002 | ICPR | Visual Contour Tracking Based on Sequential Importance Sampling/Resampling Algorithm. | Peihua Li, Tianwen Zhang |