| CARVIEW |
Mo Zhou
About Me
I am currently a Ph.D. student in the Electrical and Computer Engineering Dept at Johns Hopkins University. I am advised by Prof. Vishal M. Patel. My research interest lies in computer vision and deep learning, especially preserving model performance under distribution shifts.
Prior to this, I graduated from Xidian University with a Bachelor’s and Master’s degree, and was advised by Prof. Zhenxing Niu. I have worked as a student researcher with Dr. Hossein Talebi, Dr. Keren Ye, Dr. Mauricio Delbracio,, Dr. Peyman Milanfar, at Google Research; as a research intern with Dr. Saeed Amizadeh and Dr. Kazuhito Koishida at Microsoft Research; as a research intern with Dr. Yiding Yang, Dr. Haoxiang Li, and Dr. Gang Hua at Wormpex AI Research; as a research assistant with Prof. Le Wang and Prof. Sanping Zhou at Xi’an Jiaotong University.
I’ve been an official Debian GNU/Linux developer since 2018.
Research Interests
- Computer Vision: object detection, cross-modal retrieval, text-to-image synthesis.
- Deep Learning: deep metric learning, adversarial attack and defense.
- Natural Language Processing: large language models.
News
- [Jun. 2024] Outstanding Reviewer for CVPR 2024.
- [Feb. 2024] One paper for robust metric learning is accepted to T-PAMI.
- [Sept. 2022] One paper for federated learning is accepted to NeurIPS 2022.
- [Mar. 2022] One paper for robust deep metric learning is accepted to CVPR 2022.
- [Aug. 2021] I was selected as an “Outstanding Reviewer” for ICCV 2021.
Publications
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ICCV
Mo Zhou, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein TalebiICCV, 2025. -
ICLR
Kangfu Mei, Mo Zhou, Vishal M. PatelICLR, 2025. -
TMLR
Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh SojoudiTMLR, 2024. -
ICPR
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TPAMI
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Nanning Zheng, Gang HuaTransactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. -
NeurIPS
Yiqun Mei, Pengfei Guo, Mo Zhou, Vishal M. PatelAdvances in Neural Information Processing Systems (NeurIPS), 2022. -
CVPR
Mo Zhou, Vishal M. PatelIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. -
T-MM
Le Wang, Mo Zhou, Zhenxing Niu, Qilin Zhang, Nanning ZhengIEEE Transactions on Multimedia (T-MM), 2021. -
ICCV
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang HuaIEEE International Conference on Computer Vision (ICCV), 2021. -
CVPR
Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang HuaIEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021. -
ECCV
Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang HuaEuropean Conference on Computer Vision (ECCV), 2020. -
AAAI
Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang HuaAAAI Conference on Artificial Intelligence (AAAI), 2020. -
ICCV
Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang HuaIEEE International Conference on Computer Vision (ICCV), 2017. -
CVPR
Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang HuaIEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016.
Preprints
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arXiv
Mo Zhou, Keren Ye, Viraj Shah, Kangfu Mei, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein TalebiarXiv (preprint), 2025. -
arXiv
Mo Zhou, Yiding Yang, Haoxiang Li, Vishal M. Patel, Gang HuaarXiv (preprint), 2024. -
arXiv
Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. PatelarXiv (preprint), 2023.
Services
Conference Reviewers
- CVPR, NeurIPS, ICCV, ECCV, ICLR, ICML, AAAI, WACV, ACCV, ICPR
Journal Reviewers
- TPAMI, TNNLS, TMM, TDSC, NeuNet, NeuComp, IMAVIS, IJCV, MVA, CAIS, COMPJ
Workshop Organizer
- 4th Workshop on Adversarial Robustness In the Real World (AROW), ICCV, 2023
- 4th Workshop of Adversarial Machine Learning on Computer Vision: Robustness of Foundation Models, CVPR, 2024
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