Deep Convolutional Features for Iris Recognition. - Xingqiang Tang; Jiangtao Xie; Peihua Li (CCBR, 2017)

Is Second-Order Information Helpful for Large-Scale Visual Recognition? - Peihua Li; Jiangtao Xie; Qilong Wang 001; Wangmeng Zuo (ICCV, 2017)

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. - Peihua Li; Jiangtao Xie; Qilong Wang 001; Zilin Gao (CVPR, 2018)

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. - Qilong Wang 001; Zilin Gao; Jiangtao Xie; Wangmeng Zuo; Peihua Li (NeurIPS, 2018)

Global Second-Order Pooling Convolutional Networks. - Zilin Gao; Jiangtao Xie; Qilong Wang 001; Peihua Li (CVPR, 2019)

As-Built BIM for a Fifteenth-Century Chinese Brick Structure at Various LoDs. - Zheng Sun; Jiangtao Xie; Yingying Zhang; Yongkang Cao (ISPRS Int. J. Geo Inf., 2019)

Binocular Mutual Learning for Improving Few-shot Classification. - Ziqi Zhou; Xi Qiu; Jiangtao Xie; Jianan Wu; Chi Zhang 026 (ICCV, 2021)

Three-stage super-efficiency DEA models based on the cooperative game and its application on the R&D green innovation of the Chinese high-tech industry. - Xiaoqing Chen 001; Xinwang Liu 001; Zaiwu Gong; Jiangtao Xie (Comput. Ind. Eng., 2021)

So-ViT: Mind Visual Tokens for Vision Transformer. - Jiangtao Xie; Ruiren Zeng; Qilong Wang 001; Ziqi Zhou; Peihua Li (CoRR, 2021)

3rd Place Solution for Short-video Face Parsing Challenge. - Xiao Liu; Xiaofei Si; Jiangtao Xie (CoRR, 2021)

Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. - Qilong Wang 001; Jiangtao Xie; Wangmeng Zuo; Lei Zhang 006; Peihua Li (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. - Jiangtao Xie; Fei Long; Jiaming Lv; Qilong Wang 001; Peihua Li (CVPR, 2022)

DropCov: A Simple yet Effective Method for Improving Deep Architectures. - Qilong Wang 001; Mingze Gao; Zhaolin Zhang; Jiangtao Xie; Peihua Li; Qinghua Hu (NeurIPS, 2022)

Detachable Second-Order Pooling: Toward High-Performance First-Order Networks. - Lida Li; Jiangtao Xie; Peihua Li; Lei Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. - Qilong Wang 001; Zhaolin Zhang; Mingze Gao; Jiangtao Xie; Pengfei Zhu 001; Peihua Li; Wangmeng Zuo; Qinghua Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations. - Mingze Gao; Jingyu Liu; Mingda Li; Jiangtao Xie; Qingbin Liu; Bo Zhao; Xi Chen 073; Hui Xiong 001 (CoRR, 2024)

TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations. - Mingze Gao; Jingyu Liu; Mingda Li; Jiangtao Xie; Qingbin Liu; Kevin Zhao; Xi Chen; Hui Xiong 001 (AAAI, 2025)

Asymmetric Factorized Bilinear Operation for Vision Transformer. - Junjie Wu; Qilong Wang 001; Jiangtao Xie; Pengfei Zhu 001; Qinghua Hu (ICLR, 2025)

DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. - Junjie Wu; Jiangtao Xie; Zhaolin Zhang; Qilong Wang 001; Qinghua Hu; Peihua Li; Sen Xu (CoRR, 2025)