Zhao, Qian

27 publications

AAAI 2025 Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou

AAAI 2025 DroughtSet: Understanding Drought Through Spatial-Temporal Learning Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang

ICCV 2025 Graph Domain Adaptation with Dual-Branch Encoder and Two-Level Alignment for Whole Slide Image-Based Survival Prediction Yuntao Shou, Xiangyong Cao, Peiqiang Yan, Qiao Hui, Qian Zhao, Deyu Meng

ICML 2025 Latent Imputation Before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang

ECCV 2024 Blind Image Deconvolution by Generative-Based Kernel Prior and Initializer via Latent Encoding Jiangtao Zhang, Zongsheng Yue, Hui Wang, Qian Zhao, Deyu Meng

AAAI 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou

NeurIPSW 2024 Understanding Drought Through Spatial-Temporal Learning Xuwei Tan, Qian Zhao, Yanlan Liu, Xueru Zhang

CVPR 2023 Interactive Segmentation as Gaussion Process Classification Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

ECML-PKDD 2023 Long-Tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

CVPR 2022 Blind Image Super-Resolution with Elaborate Degradation Modeling on Noise and Kernel Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong

ECCV 2022 KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu

CVPR 2021 From Rain Generation to Rain Removal Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng

CVPR 2021 Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng

AAAI 2021 Learning to Purify Noisy Labels via Meta Soft Label Corrector Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

CVPR 2021 Semi-Supervised Video Deraining with Dynamical Rain Generator Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng

ECCV 2020 Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng

NeurIPS 2019 Meta-Weight-Net: Learning an Explicit Mapping for Sample Weighting Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

NeurIPS 2019 Variational Denoising Network: Toward Blind Noise Modeling and Removal Zongsheng Yue, Hongwei Yong, Qian Zhao, Deyu Meng, Lei Zhang

ICCV 2017 Should We Encode Rain Streaks in Video as Deterministic or Stochastic? Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu

CVPR 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang

CVPR 2016 Robust Tensor Factorization with Unknown Noise Xi'ai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang

ICCV 2015 A Novel Sparsity Measure for Tensor Recovery Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu

ICCV 2015 A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han

ICCV 2015 Low-Rank Matrix Factorization Under General Mixture Noise Distributions Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu

AAAI 2015 Self-Paced Curriculum Learning Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann

AAAI 2015 Self-Paced Learning for Matrix Factorization Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann

ICML 2014 Robust Principal Component Analysis with Complex Noise Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang