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个人简介

主要研究方向为机器学习与计算机视觉。围绕全天候的视觉感知,针对行人重识别、小样本图像分类、3D点云分割等视觉应用,从事跨模态/传感器视觉研究。研究成果在计算机视觉等领域国际顶级学术会议期刊(IEEE TIP、CVPR、AAAI、IJCAI)发表论文十余篇,以第一作者或者通讯作者发表发表CCF A类论文 7篇,先后承担了国家自然科学青年基金,上海市人工智能重大专项课题以及中国人工智能学会-华为MindSpore学术奖励基金研究课题。担任计算机视觉顶级会议ICCV、CVPR、IJCAI、TIP、CIKM审稿人。 教育经历 2014.9-2020.6 中国科学院自动化研究所 博士 模式识别与智能系统 2010.9-2014.6 东北大学 学士 信息与计算科学 工作经历 2020.9-至今 华东师范大学 专任副研究员

研究领域

行人重识别相关理论与应用研究 跨模态/跨域的域迁移算法研究 人工智能社会影响分析

近期论文

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RECENT REPRESENTATIVE TOP-LEVEL CONFERENCE PAPERS: New Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception Haoming Chen, Zhizhong Zhang#, Yanyun Qu, Ruixin Zhang, Xin Tan, Yuan Xie* CVPR, 2024 New COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction Qihang Ma#, Xin Tan#, Yanyun Qu, Lizhuang Ma, Zhizhong Zhang*, Yuan Xie CVPR, 2024 New Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer Zhen Zhao, Jingqun Tang, Chunhui Lin, Binghong Wu, Can Huang, Hao Liu, Xin Tan, Zhizhong Zhang*, Yuan Xie CVPR, 2024 New PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection Xiaofan Li, Zhizhong Zhang, Xin Tan*, Yanyun Qu, Chengwei Chen, Yuan Xie, Lizhuang Ma CVPR, 2024 New Prompt Gradient Projection for Continual Learning Jingyang Qiao#, Zhizhong Zhang#, Xin Tan, Chengwei Chen, Yanyun Qu, Yong Peng, Yuan Xie* ICLR, 2024 (Spotlight) New Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang*, Yanyun Qu, Jun Liu, Yuan Xie AAAI, 2024 New Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation Yujun Chen, Xin Tan*, Zhizhong Zhang, Yanyun Qu, Yuan Xie AAAI, 2024 New SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perception Image Super-resolution Xiaotong Luo, Yuan Xie, Yanyun Qu*, Yun Fu AAAI, 2024 New CLIP-guided Federated Learning on Heterogeneity and Long-Tailed Data Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Yang Lu, Yuan Xie, Yanyun Qu* AAAI, 2024 New Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution Xiaotong Luo, Yuan Xie, Yanyun Qu* NeurIPS, 2023 Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling Zhen Zhao, Zhizhong Zhang*, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie*, Lizhuang Ma CVPR, 2023 Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference Tenghao Cai, Zhizhong Zhang*, Xin Tan, Yanyun Qu, Guannan Jiang, Chengjie Wang, Yuan Xie* CVPR, 2023 Memory-friendly Scalable Super-resolution via Rewinding Lottery Ticket Hypothesis Jin Lin, Xiaotong Luo, Ming Hong, Yanyun Qu, Yuan Xie, Zongze Wu CVPR, 2023 Weakly Supervised 3D Segmentation via Receptive-driven Pseudo Label Consistency and Structural Consistency Yuxiang Lan, Yachao Zhang, Yanyun Qu*, Cong Wang, Yuan Xie*, Zongze Wu AAAI, 2023 High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets Yanbo Wang, Chuming Lin, Donghao Luo, Ying Tai, Zhizhong Zhang*, Yuan Xie AAAI, 2023 SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning Jinxiang Lai, Siqian Yang, Wenlong Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie*, Chengjie Wang* AAAI, 2023 Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation Jingyu Gong, Fengqi Liu, Jiachen Xu, Min Wang, Xin Tan, Zhizhong Zhang, Ran Yi, Haichuan Song, Yuan Xie*, Lizhuang Ma* ECCV, 2022 Optimal Transport for Label-Efficient Visiable-Infrared Person Re-Identification Jiangming Wang, Zhizhong Zhang*, Mingang Chen, Yi Zhang, Cong Wang, Bin Sheng, Yanyun Qu, Yuan Xie ECCV, 2022 Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection TianXue Ma, Mingwei Bi, Jian Zhang, Wang Yuan, Zhizhong Zhang*, Yuan Xie, Shouhong Ding, Lizhuang Ma ECCV, 2022 Self-supervised Exclusive Learning for 3D Segmentation with Cross-Modal Unsupervised Domain Adaptation Yachao Zhang, Miaoyu Li, Yuan Xie*, Cuihua Li, Cong Wang, Zhizhong Zhang, Yanyun Qu* ACM MM, 2022 Hierarchical Walking Transformer for Object Re-Identification Xudong Tian, Jun Liu, Zhizhong Zhang*, Chengjie Wang, Yanyun Qu, Yuan Xie, Lizhuang Ma ACM MM, 2022 Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie*, Ding Liu, Yanyun Qu*, Yun Fu, Junping Zhang ACM MM, 2022 Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang*, Yuan Xie* ACM MM, 2022 Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie*, Chengjie Wang* ACM MM, 2022 Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-Identification Hanzhe Sun, Jun Liu, Zhizhong Zhang, Chengjie Wang, Yanyun Qu, Yuan Xie* ACM MM, 2022 Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation Miaoyu Li, Yachao Zhang, Yuan Xie, Zuodong Gao, Cuihua Li, Zhizhong Zhang, Yanyun Qu* ACM MM, 2022 Self-supervised Models are Good Teaching Assistants for Vision Transformers Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin*, Yuan Xie*, Xing Sun, Ke Li ICML, 2022 En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie*, Yanyun Qu* CVPR, 2022 Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints Junshu Tang, Zhijun Gong, Ran Yi, Yuan Xie, Lizhuang Ma CVPR, 2022 HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma CVPR, 2022 Task-level Self-supervision for Cross-domain Few-shot Learning Wang Yuan#, Zhizhong Zhang#, Cong Wang, Haichuan Song, Yuan Xie*, Lizhuang Ma* AAAI, 2022 Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection Chengwei Chen, Yuan Xie*, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma* AAAI, 2022 RECENT REPRESENTATIVE TOP-LEVEL JOURNAL PAPERS: New Variational Distillation for Multi-View Learning Xudong Tian#, Zhizhong Zhang#, Cong Wang, Wensheng Zhang, Yanyun Qu, Lizhuang Ma, Zongze Wu, Yuan Xie*, Dacheng Tao IEEE Trans. on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024 New Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning Tianfang Sun, Zhizhong Zhang*, Xin Tan, Yanyun Qu, Yuan Xie IEEE Transactions on Image Processing (IEEE TIP), 2024 Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor Yongqiang Tang, Yuan Xie*, Wensheng Zhang IEEE Trans. on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023 Positive-Negative Receptive Field Reasoning for Omni-supervised 3D Segmentation Xin Tan, Qihang Ma, Jingyu Gong, Jiachen Xu, Zhizhong Zhang, Haichuan Song, Yanyun Qu, Yuan Xie*, Lizhuang Ma IEEE Trans. on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023 Lattice Network for Lightweight Image Restoration Xiaotong Luo, Yanyun Qu*, Yuan Xie*, Yulun Zhang, Cuihua Li, Yun Fu IEEE Trans. on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022 Robust Kernelized Multi-View Self-Representation for Subspace Clustering Yuan Xie, Jinyan Liu, Yanyun Qu, Dacheng Tao, Wensheng Zhang, Longquan Dai, Lizhuang Ma IEEE Trans. on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Joint Deep Multi-View Learning for Image Clustering Yuan Xie, Bingqian Lin, Yanyun Qu, Cuihua Li, Wensheng Zhang, Lizhuang Ma, Yonggang Wen, Dacheng Tao IEEE Trans. on Knowledge and Data Engineering (IEEE TKDE), 2020 Learning to Align via Wasserstein for Person Re-Identification Zhizhong Zhang*, Yuan Xie*, Yongqiang Tang, Wensheng Zhang, Qi Tian IEEE Trans. on Image Processing (IEEE TIP), 2020 Generalized Latent Multi-View Subspace Clustering Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Chao, Yuan Xie, Dacheng Tao, Dong Xu IEEE Trans. on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2020 Hyper-Laplacian Regularized Multilinear Multiview Self-Representation for Clustering and Semisupervised Learning Yuan Xie, Dacheng Tao, Yanyun Qu, Wensheng Zhang, Longquan Dai IEEE Trans. on Cybernetics, 2020 Effective Image Retrieval via Multilinear Multi-Index Fusion Zhizhong Zhang*, Yuan Xie*, Wensheng Zhang, Qi Tian IEEE Trans. on Multimedia (IEEE TMM), 2019 Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering Yongqiang Tang*, Yuan Xie*, Xuebing Yang, Jinghao Niu, Wensheng Zhang IEEE Trans. on Knowledge and Data Engineering (IEEE TKDE), 2019 Colored Fused Filament Fabrication Haichuan Song, Jonas Martinez, Pierre Bedell, Noemie Vennin, Sylvain Lefebvre ACM Transactions on Graphics (ACM TOG), 2019 Tensor Multi-task Learning for Person Re-identification Zhizhong Zhang*, Yuan Xie*, Yongqiang Tang, Wensheng Zhang, Qi Tian IEEE Trans. on Image Processing (IEEE TIP), 2019 Interpreting and Extending the Guided Filter via Cyclic Coordinate Descent Longquan Dai, Mengke Yuan, Liang Tang,Yuan Xie, Xiaopeng Zhang, Jinghui Tang IEEE Trans. on Image Processing (IEEE TIP), 2019 On Unifying Multi-View Self-Representation for Clustering by Tensor Multi-Rank Minimization Yuan Xie, Dacheng Tao, Wensheng Zhang, Yan Liu, Lei Zhang, Yanyun Qu International Journal of Computer Vision (IJCV), 2018

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