个人简介

张驰博士，出生于江苏徐州。博士毕业于新加坡南洋理工大学计算机学院。他博士期间的研究课题专注于高效低成本的机器学习和计算机视觉算法。 2022-2024年就职于腾讯公司担任研究科学家, 专注于研究大模型时代下的多模态模型与生成式AI模型。曾在CVPR、ICCV、NeurIPS、TPAMI等顶级人工智能国际会议期刊上发表多篇学术论文。 入选美国斯坦福大学发布的《2023全球前2％顶尖科学家榜单》。

张驰博士将于2024年下半年加入西湖大学工学院担任助理教授（独立PI，博士生导师）并创建通用人工智能（AGI）实验室担任负责人。

学术成果

张驰博士在博士期间的研究专注于高效低成本的机器学习和计算机视觉算法，例如小样本学习、弱监督学习、增量学习等。他在小样本学习领域的代表工作如DeepEMD 和 CANet被广泛用作基线模型。在腾讯公司担任研究科学家期间，他专注于研究兼具产业价值于学术价值的研究领域，例如全场景通用的单目深度估计模型。目前他的研究聚焦在多模态大模型方向和2D/3D生成式AI方向， 产出了许多具有产业影响力的开源算法， 如多模态智能体AppAgent。

张驰博士曾在CVPR、ICCV、NeurIPS、TPAMI等顶级人工智能国际会议期刊上发表20余篇学术论文。 2023年入选美国斯坦福大学发布的《2023年度全球前2％顶尖科学家榜单》。

代表论文

1.Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao, Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation, IEEE International Conference on Computer Vision,ICCV2019

2.Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen, CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning, IEEE Conference on Computer Vision and Pattern Recognition,CVPR2019

3. Xin Sun, Zhenning Yang,Chi Zhang, Guohao Peng, Keck-Voon Ling, Conditional Gaussian Distribution Learning for Open Set Recognition, IEEE Conference on Computer Vision and Pattern Recognition,CVPR2020

4. Weide Liu,Chi Zhang, Guosheng Lin, Fayao Liu, CRNet: Cross-Reference Networks for Few-Shot Segmentation, IEEE Conference on Computer Vision and Pattern Recognition,CVPR2020

5.Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen, DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers, IEEE Conference on Computer Vision and Pattern Recognition,CVPRORAL2020

6.Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao, Cyclesegnet: Object co-segmentation with cycle refinement and region correspondence, IEEE Transactions on Image Processing,TIP, 2021

7. Weide Liu,Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin, Few-shot segmentation with optimal transport matching and message flow, IEEE Transactions on Multimedia,TMM, 2021

8.Chi Zhang, Nan Song, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu, Few-Shot Incremental Learning with Continually Evolved Classifiers, IEEE Conference on Computer Vision and Pattern Recognition,CVPR2021

9.Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen, Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning, IEEE International Conference on Computer Vision,ICCV2021

10.Chi Zhang, Wei Yin, Billzb Wang, Gang YU, Bin Fu, Chunhua Shen, Hierarchical Normalization for Robust Monocular Depth Estimation, Conference on Neural Information Processing Systems,NeurIPS2022

11.Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen, DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence,TPAMI2022

12. Ruibo Li,Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen, RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior, IEEE Conference on Computer Vision and Pattern Recognition,CVPR2022

13. Ze Yang,Chi Zhang, Ruibo Li, Guosheng Lin, Efficient Few-Shot Object Detection via Knowledge Inheritance, IEEE Transactions on Image Processing,TIP, 2022

14. Weide Liu,Chi Zhang, Guosheng Lin, Fayao Liu, CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks, International Journal of Computer Vision,IJCV, 2022

15. Wei Yin,Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, Chunhua Shen, Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image, IEEE International Conference on Computer Vision,ICCV2023

16.Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen, Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering, IEEE International Conference on Computer Vision,ICCV2023

17. Ze Yang, Ruibo Li, Evan Ling,Chi Zhang, Yiming Wang, Dezhao Huang, Keng Teck Ma, Minhoe Hur, Guosheng Lin, Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds, IEEE International Conference on Computer Vision,ICCV2023

18. Yiwen Chen,Chi Zhang, Xiaofeng Yang, Zhongang Cai, Gang Yu, Lei Yang, Guosheng Lin, It3d: Improved text-to-3d generation with explicit view synthesis, AAAI Conference on Artificial Intelligence,AAAI2024

19. Yiwen Chen, Zilong Chen,Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, Guosheng Lin, Gaussianeditor: Swift and controllable 3d editing with gaussian splatting, IEEE Conference on Computer Vision and Pattern Recognition,CVPR2024

20. Sijin Chen, Xin Chen,Chi Zhang, Mingsheng Li, Gang Yu, Hao Fei, Hongyuan Zhu, Jiayuan Fan, Tao Chen, LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning, IEEE Conference on Computer Vision and Pattern Recognition,CVPR2024

联系方式

电子邮箱：chizhang@westlake.edu.cn

课题组致力于在人工智能领域持续开展视觉基础模型、生成式AI及多模态大模型的研究，力求在学术与产业两方面均取得影响。我们现正积极招募相关研究方向的博士生、博士后、研究助理及访问学者。实验室目前拥有充足的岗位和优越的实验资源。有意者欢迎通过电子邮件进行咨询。