YUAN, Li (袁粒)

Deep peak property learning for efficient chiral molecules ECD spectra prediction
Hao Li, Da Long, Li Yuan†, Yonghong Tian, Xinchang Wang†, Fanyang Mo†.
Nature Computational Science, 2024, accepted, coming soon.
[AI for Science]

BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis
Zhiguang Qiu, Li Yuan, Chun-Ang Lian, Bin Lin, Jie Chen, Rong Mu, Xuejiao Qiao, Liyu Zhang, Zheng Xu, Lu Fan, Yunzeng Zhang, Shanquan Wang, Junyi Li, Huiluo Cao, Bing Li, Yong-Xin Liu, Lili Shi, Yonghong Tian, Jinren Ni, Jizhong Zhou, Weiqin Zhuang, Ke Yu.
Nature Communications, 2024.
[AI for Science]

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan†
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
[Arxiv] [Code]

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan†, Jie Chen†
International Conference on Computer Vision (ICCV), 2023. Accepted, to be appear
[Arxiv] [Code]

Rethinking Point Cloud Registration as Masking and Reconstruction
Guangyan Chen, Meiling Wang, Li Yuan†, Yi Yang, Yufeng Yue†
International Conference on Computer Vision (ICCV), 2023. Accepted, to be appear
[Arxiv] [Code]

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
International Conference on Computer Vision (ICCV), 2023. Accepted, to be appear
[Arxiv] [Code]

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
Peng Jin, JinFa Huang, Pengfei Xiong, Shangxuan Tian, Chang Liu, Xiangyang Ji, Li Yuan†, Jie Chen†
IEEE Computer Vision and Pattern Recognition (CVPR), Highlight (Top 10%), 2023.
[Arxiv] [Code]

ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Li Yuan†, Jie Chen†
IEEE Computer Vision and Pattern Recognition (CVPR), Highlight (Top 10%), 2023.
[Arxiv] [Code]

Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian
IEEE Computer Vision and Pattern Recognition (CVPR), 2023.
[Arxiv] [Code]

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
IEEE Computer Vision and Pattern Recognition (CVPR), 2023.
[Arxiv] [Code]

Deep Interactive Full Transformer Framework for Point Cloud Registration
Guangyan Chen, Meiling Wang, Yufeng Yue, Qingxiang Zhang,Li Yuan
IEEE International Conference on Robotics and Automation (ICRA), 2023.
[Arxiv] [Code]

Spikformer: When Spiking Neural Network Meets Transformer
Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian,Li Yuan†
International Conference on Learning Representations (ICLR), 2023.
[Arxiv] [Code]

VOLO: Vision Outlooker for Visual Recognition
Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
VOLO is the first model exceeds 87.0% top-1 accuracy on ImageNet without using extra data
[Arxiv] [Code]

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[Arxiv] [Code]

Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang, Wenxiao Wang, Francis E.H. Tay, Wei Liu, Yonghong Tian, Li Yuan†
European Conference on Computer Vision (ECCV), 2022
[Arxiv] [Code]

Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai, Li Yuan†, Shu-Tao Xia†, Shuicheng Yan, Zhifeng Li, Wei Liu†
European Conference on Computer Vision (ECCV), 2022
[Arxiv] [Code]

Locality Guidance for Improving Vision Transformers on Tiny Datasets
Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan†, Guoli Song, Jie Chen†
European Conference on Computer Vision (ECCV), 2022
[Arxiv] [Code]

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis EH Tay, Jiashi Feng, Shuicheng Yan
International Conference on Computer Vision (ICCV), 2021
[Arxiv] [Code]

PnP-DETR: Towards Efficient Visual Analysis with Transformers
Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
International Conference on Computer Vision (ICCV), 2021
[Arxiv] [Code]

Continual Learning via Bit-Level Information Preserving
Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2021
[Arxiv] [Code]

Revisiting Knowledge Distillation via Label Smoothing Regularization
Li Yuan, Francis EH Tay, Guilin Li, Tao Wang, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
[Arxiv] [Code]

Central Similarity Quantization for Efficient Image and Video Retrieval
Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2020
[Arxiv] [Code]

Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes
Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yupeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan
ACM International Conference on Multimedia (ACM MM), 2020

Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li Yuan, Francis Eng Hock Tay, Ping Li, Li Zhou, Jiashi Feng
AAAI Conference on Artificial Intelligence (AAAI), 2019

Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks
Li Yuan, Francis Eng Hock Tay, Ping Li, Jiashi Feng
IEEE Transactions on Multimedia (IEEE TMM), 2019

DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Ziyu Wang, Wenhao Jiang, Yiming Zhu, Li Yuan, Yibing Song, Wei Liu
International Conference on Machine Learning (ICML), 2022
[Arxiv]

Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama
International Conference on Machine Learning (ICML), 2021 (Spotlight)
[Arxiv] [Code]

All Tokens Matter: Token Labeling for Training Better Vision Transformers
Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng
Conference on Neural Information Processing Systems (NeurIPS), 2021
[Arxiv] [Code]

Distilling Object Detectors With Fine-Grained Feature Imitation
Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2019
[Arxiv] [Code]

Few-shot adaptive faster r-cnn
Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
IEEE Computer Vision and Pattern Recognition (CVPR), 2019

Adversarial Images for the Primate Brain
Li Yuan, Will Xiao, Gabriel Kreiman, Francis E.H. Tay, Jiashi Feng, Margaret S. Livingstone
[Arxiv] [Code Coming]