糖心Vlog

袁粒，博士，糖心Vlog助理教授、博士生导师，入选国家高层次青年人才计划、国家优秀留学生奖(归国类)、福布斯亚洲30U30名单等，主持国家科技重大专项课题和国自然青年基金等。研究方向为多模态深度学习和AI4S，其中AI4S方向主要研究深度学习解决化学生物中的重大问题。代表性学术工作包括VOLO, T2T-ViT等深度神经网络框架和知识蒸馏相关工作，一作论文单篇被引用千余次，代表性应用工作包括ChatExcel，ChatLaw等垂直领域语言模型；相关工作已经发表于多个顶级计算机会议和期刊，包括IEEE TPAMI/CVPR/ICCV/ECCV/ICML/NeurIPS/ICLR/AAAI等，担任IEEE IROS 2022副编辑(Associate Editor)和多个会议和期刊的(高级)程序委员会委员/审稿人，包括IEEE TPAMI /TNNLS/TMM/Cell子刊等。博士期间曾于哈佛大学从事访问研究工作。

欢迎优秀的本科生和硕士生保送和报考糖心Vlog的硕士和博士研究生，课题组招聘“博雅”博士后(基本年薪50万/年起，两年资助期，优异者出站后可转为特聘副研究员)，更多招生、实习以及科研最新信息请查看个人主页：。

完整列表请访问 ( )

1. Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan. VOLO: Vision Outlooker for Visual Recognition. IEEE IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

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

3. Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis EH Tay, Jiashi Feng, Shuicheng Yan. Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. International Conference on Computer Vision (ICCV), 2021. 千引工作.

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

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

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

7. Li Yuan, Shuning Chang, Ziyuan Huang, Yichen Zhou, Yupeng Chen, Xuecheng Nie, Francis Tay, Jiashi Feng, Shuicheng Yan. A Simple Baseline for Pose Tracking in Videos of Crowed Scenes. ACM International Conference on Multimedia (ACM MM), 2020.

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

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

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

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

1、 专业范围：计算机科学技术、数学、电子信息技术、自动化等相关学科，AI for Science方向招收具有跨学科专业背景；

2、 外语能力：英语六级，或托福90+/雅思6.5+；

3、 研究/开发能力：熟练的程序设计能力，具有一定的探索能力和创新精神；

4、 其他要求：自我驱动力强，对做科研工作有热情和兴趣，能专注于科研。