Prof. Yuan Xie

1、Institute of Automation, Chinese Academy of Science,          Ph.D,                          2010~2013

2、Xiamen University,                                                                  M.S,                           2007~2010

3、Hunan University of Science and Technology,                        B.S,                            2003~2007

2013.07~2016.10          Assistant Professor               Institute of Automation, Chinese Academy of Sciences, China

2015.01~2017.01          Postdoctoral                         Department of Computing, Hong Kong Polytechnic University, Hong Kong China

2016.11~2019.02          Associate Professor              Institute of Automation, Chinese Academy of Sciences, China

2019.03~Now               Full Professor                       School of Computer Science and Technology, East China Normal University, China.

Yuan Xie is currently a professor and doctoral supervisor at the school of computer science and technology, East China Normal University. He received the National Science Fund for excellent young scholars, and holds the honorary titles of “Minjiang Scholar” Lecture Professor, and Hong Kong Scholarship by the ministry of human resources and social security. He obtained his master degree from the department of computer science at Xiamen university in 2010 and his doctorate degree from the Institute of Automation, Chinese Academy of Sciences in 2013. In 2014, he went to the department of computing at Hong Kong Polytechnic University to engage in two years of postdoctoral research. He has previously served as an assistant professor (2013) and associate professor (2016) at the Institute of Automation, Chinese Academy of Sciences.

His main research areas are computer vision and machine learning, covering various sub-fields such as low-level vision, 3D perception for autonomous driving, cross-modal perception, cross-modal learning, few-shot learning, and continual learning. He has presided over several major projects, including the National Science Fund for excellent young scholars, the National Key Research and Development Program of China. He has published and accepted over 100 academic papers in authoritative journals (IEEE TPAMI/IJCV/TIP/TCYB/TNNLS/TKDE/TMM) and top conferences (CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/AAAI), of which more than 80 are first author/corresponding author papers in CCF A list. His papers have been cited over 9,000 times on Google Scholar. The image restoration algorithm he proposed won two championships in the image dehazing and demoire tracks of the IEEE CVPR NTIRE 2020 Challenge on Image and Video Restoration and Enhancement. He has served as the area chair/senior PC for IJCAI 2019-2022, and the area chair for CIKM 2019 and ACMMM 2023. His research achievements have won the Wu Wenjun Artificial Intelligence Science and Technology Award for Natural Science (Second Prize), the Shanghai Science and Technology Progress Special Award, and the Fujian Provincial Natural Science Second Prize.

News:

------------------------------------------------2024-----------------------------------------------------

One paper has been accepted by TPAMI, one paper has been accepted by TIP, one paper has been accepted by ICLR2024, one paper has been accepted by NeurIPS2024, four papers have been accepted by CVPR2024, and eight papers have been accepted by AAAI2024:

[1] Xudong Tian#, Zhizhong Zhang#, Cong Wang, Wensheng Zhang, Yanyun Qu, Lizhuang Ma, Zongze Wu, Yuan Xie*, Dacheng Tao. Variational Distillation for Multi-View Learning, IEEE TPAMI, 2024.

[2] Tianfang Sun, Zhizhong Zhang*, Xin Tan, Yanyun Qu, Yuan Xie. Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning, IEEE TIP, 2024.

[3] Jingyang Qiao#, Zhizhong Zhang#, Xin Tan, Chengwei Chen, Yanyun Qu, Yong Peng, Yuan Xie*. Prompt Gradient Projection for Continual Learning, ICLR, 2024. Spotlight

[4] Xiaotong Luo, Yuan Xie, Yanyun Qu. Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution, NeurIPS, 2023.

[5] Haoming Chen, Zhizhong Zhang#, Yanyun Qu, Ruixin Zhang, Xin Tan, Yuan Xie*. Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception, CVPR, 2024.

[6] Qihang Ma#, Xin Tan#, Yanyun Qu, Lizhuang Ma, Zhizhong Zhang*, Yuan Xie. COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction, CVPR, 2024.

[7] Zhen Zhao, Jingqun Tang, Chunhui Lin, Binghong Wu, Can Huang, Hao Liu, Xin Tan, Zhizhong Zhang*, Yuan Xie. Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer, CVPR, 2024.

[8] Xiaofan Li, Zhizhong Zhang, Xin Tan*, Yanyun Qu, Chengwei Chen, Yuan Xie, Lizhuang Ma. PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection, CVPR, 2024.

[9] Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang*, Yanyun Qu, Jun Liu, Yuan Xie. Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection, AAAI, 2024.

[10] Yujun Chen, Xin Tan*, Zhizhong Zhang, Yanyun Qu, Yuan Xie. Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation, AAAI, 2024.

[11] Lianggangxu Chen, Youqi Song, Yiqing Cai, Jiale Lu, Yang Li, Yuan Xie, Changbo Wang, Gaoqi He*. Multi-Prototype Space Learning for Commonsense-based Scene Graph Generation, AAAI, 2024.

[12] Xiaotong Luo, Yuan Xie, Yanyun Qu*, Yun Fu. SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perception Image Super-resolution, AAAI, 2024.

[13] Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Yang Lu, Yuan Xie, Yanyun Qu*. CLIP-guided Federated Learning on Heterogeneity and Long-Tailed Data, AAAI, 2024.

[14] Yachao Zhang, Runze Hu, Ronghui Li, Yanyun Qu, Yuan Xie, Xiu Li. Cross-Modal Match for Language Conditioned 3D Object Grounding, AAAI, 2024.

[15] Yubo Zhou, Jin Lin, Fangchen Ye, Yanyun Qu*, Yuan Xie. Efficient Lightweight Image Denoising with Triple Attention Transformer, AAAI, 2024.

[16] Xiaotong Luo, Zekun Ai, Qiuyuan Liang, Yuan Xie, Yanyun Qu, Yun Fu. AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution, AAAI, 2024.

------------------------------------------------2023-----------------------------------------------------

Two papers have been accepted by TPAMI, three papers have been accepted by ICCV2023, and fours papers have been accepted by ACMMM2023:

[1] Yongqiang Tang, Yuan Xie*, Wensheng Zhang. Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor, IEEE TPAMI, 2023.

[2] Xin Tan, Qihang Ma, Jingyu Gong, Jiachen Xu, Zhizhong Zhang, Haichuan Song, Yanyun Qu, Yuan Xie*, Lizhuang Ma. Positive-Negative Receptive Field Reasoning for Omni-supervised 3D Segmentation, IEEE TPAMI, 2023.

[3] Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie*. Instance and Category Supervision are Alternate Learners for Continual Learning, ICCV, 2023.

[4] Zhiwei Zhang, Qian Yu, Chengyang Li, Jia Cai, Ran Yi, Yuan Xie*, Lizhuang Ma*. LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment, ICCV, 2023.

[5] Jiangming Shi, Yachao Zhang, Xiangbo Yin, Yuan Xie*, Zhizhong Zhang, Jianping Fan, Zhongchao Shi, Yanyun Qu*. Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification, ICCV, 2023.

[6] Yao Wu, Mingwei Xing, Yachao Zhang, Yuan Xie*,Jianping Fan, Zhongchao Shi, Yanyun Qu*. Cross-modal Unsupervised Domain Adaptation for 3D Semantic Segmentation via Bidirectional Fusion-then-Distillation. ACMMM, 2023.

[7] Zhong Chen, Zhizhong Zhang*, Xin Tan, Yanyun Qu, Yuan Xie*. Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-Identification. ACMMM, 2023.

[8] Xu Huang, Jin Liu, Zhizhong Zhang, Yuan Xie. Improving Cross-Modal Recipe Retrieval with Component-Aware Prompted CLIP Embedding. ACMMM, 2023.

[9] Fangchen Ye, Jin Lin, Hongzhan Huang, Jianping Fan, Zhongchao Shi, Yuan Xie*, Yanyun Qu*. Hardware-friendly Scalable Image Super-Resolution with Progressive Structured Sparsity. ACMMM, 2023.

Three papers have been accepted by CVPR2023, three papers have been accepted by AAAI2023, and one paper has been accepted by IJCAI2023:

[1] Zhen Zhao, Zhizhong Zhang*, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie*, Lizhuang Ma. Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling. CVPR, 2023.

[2] Tenghao Cai, Zhizhong Zhang, Xin Tan, Yanyun Qu, Guannan Jiang, Chengjie Wang, Yuan Xie*. Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference. CVPR, 2023.

[3] Jin Lin, Xiaotong Luo, Ming Hong, Yanyun Qu, Yuan Xie*, Zongze Wu. Memory-friendly Scalable Super-resolution via Rewinding Lottery Ticket Hypothesis. CVPR, 2023.

[4] Yuxiang Lan, Yachao Zhang, Yanyun Qu, Cong Wang, Yuan Xie*, Zongze Wu. Weakly Supervised 3D Segmentation via Receptive-driven Pseudo Label Consistency and Structural Consistency, AAAI, 2023.

[5] Yanbo Wang, Chuming Lin, Donghao Luo, Ying Tai, Zhizhong Zhang*, Yuan Xie. High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets. AAAI, 2023.

[6] Jinxiang Lai, Siqian Yang, Wenlong Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie*, Chengjie Wang. SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. AAAI, 2023.

[7] Xiaofan Li, Yachao Zhang, Shiran Bian, Yanyun Qu, Yuan Xie, Zhongchao Shi, Jianping Fan. VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning. IJCAI, 2023.

1、The National Science Fund for Excellent Young Scholars, 2022.

2、Second-Class of Natural Science Award, Wu Wen Jun AI Science & Technology Award, 2020.

3、The Special Award Prize for Science and Technology Advancement Award, Shanghai Science and Technology Awards, 2020.

4、Fujian Provincial Natural Science Second Prize, 2023.

5、Winner Award (Team Leader), NITRE 2020 Challenge on Nohomogeneous Dehazing, New Trends in Image Restoration and Enhancement Workshop, CVPR 2020.

6、Winner Award (Team Leader), NITRE 2020 Challenge on Image Demoireing, New Trends in Image Restoration and Enhancement Workshop, CVPR 2020.

7、The Hong Kong Scholar Award, the Society of Hong Kong Scholars and the China National Postdoctoral Council, 2014.