| 2026 | AAAI | Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding. | Zhen Wang, Jiaojiao Zhao, Qilong Wang, Yongfeng Dong, Wenlong Yu |
| 2026 | DATE | FLARE: Finetuning ReLU With FIRE for Efficient Long-Context Inference. | Michael Moffatt, Junyi Luo, Haoran Cheng, Qilong Wang, Xinting Jiang, Guanchen Tao, Shiwei Liu, Kauna Lei, Gregory Kielian, Mehdi Saligane |
| 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 | CVPR | CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification. | Wenlong Yu, Qilong Wang, Chuang Liu, Dong Li, Qinghua Hu |
| 2025 | CVPR | Generative Inbetweening through Frame-wise Conditions-Driven Video Generation. | Tianyi Zhu, Dongwei Ren, Qilong Wang, Xiaohe Wu, Wangmeng Zuo |
| 2025 | ICCV | Integrating Visual Interpretation and Linguistic Reasoning for Geometric Problem Solving. | Zixian Guo, Ming Liu, Qilong Wang, Zhilong Ji, Jinfeng Bai, Lei Zhang, Wangmeng Zuo |
| 2025 | ICCV | Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning. | Liwei Luo, Shuaitengyuan Li, Dongwei Ren, Qilong Wang, Pengfei Zhu, Qinghua Hu |
| 2025 | ICCV | Unknown Text Learning for Clip-Based Few-Shot Open-Set Recognition. | Rui Ma, Qilong Wang, Bing Cao, Qinghua Hu, Yahong Han |
| 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 | ICDE | Heterogeneous-Aware Traffic Prediction: A Privacy-Preserving Federated Learning Framework. | Zhihao Zeng, Ziquan Fang, Yuting Huang, Qilong Wang, Lu Chen, Yunjun Gao |
| 2025 | ICLR | Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. | Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu, Qinghua Hu |
| 2025 | ICLR | Asymmetric Factorized Bilinear Operation for Vision Transformer. | Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu |
| 2024 | CVPR | AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. | Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu |
| 2024 | DASFAA | Distributed Temporal Graph Neural Network Learning over Large-Scale Dynamic Graphs. | Ziquan Fang, Qichen Sun, Qilong Wang, Lu Chen, Yunjun Gao |
| 2024 | SMC | FLSTAGCN: Traffic Flow Prediction Based on Federated Learning and Attention Graph Convolutional Network. | Lei Shi, Shaohua Yuan, Huijuan Lian, Yufei Gao, Lin Wei, Qilong Wang |
| 2024 | SMC | A Dynamic Weight Optimization Strategy Based on Momentum Method. | Lin Wei, Qilong Wang, Huijuan Lian, Lei Shi, Shaohua Yuan |
| 2023 | CVPR | Reliable and Interpretable Personalized Federated Learning. | Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu |
| 2023 | ICCV | Tuning Pre-trained Model via Moment Probing. | Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou |
| 2022 | CVPR | Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. | Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li |
| 2021 | CVPR | Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. | Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu |
| 2021 | ICCV | Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. | Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo |
| 2020 | CVPR | Neural Blind Deconvolution Using Deep Priors. | Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo |
| 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 |
| 2018 | IJCAI | Towards Generalized and Efficient Metric Learning on Riemannian Manifold. | Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang |
| 2018 | IJCAI | Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. | Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang |
| 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 |
| 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 |
| 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 |