About Me
I am actively seeking new opportunities to apply my expertise in deep learning and computer vision. Inquiries regarding potential roles and collaborations are welcome.
I am currently a fifth-year 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
-
ICCV
Mo Zhou, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein Talebi
ICCV, 2025.
-
ICLR
Kangfu Mei, Mo Zhou, Vishal M. Patel
ICLR, 2025.
-
TMLR
Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi
TMLR, 2024.
-
ICPR
Mo Zhou, Vishal M. Patel
ICPR, 2024.
-
TPAMI
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Nanning Zheng, Gang Hua
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
-
NeurIPS
Yiqun Mei, Pengfei Guo, Mo Zhou, Vishal M. Patel
Advances in Neural Information Processing Systems (NeurIPS), 2022.
-
CVPR
Mo Zhou, Vishal M. Patel
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
-
T-MM
Le Wang, Mo Zhou, Zhenxing Niu, Qilin Zhang, Nanning Zheng
IEEE Transactions on Multimedia (T-MM), 2021.
-
ICCV
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua
IEEE International Conference on Computer Vision (ICCV), 2021.
-
CVPR
Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
-
ECCV
Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua
European Conference on Computer Vision (ECCV), 2020.
-
AAAI
Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua
AAAI Conference on Artificial Intelligence (AAAI), 2020.
-
ICCV
Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua
IEEE International Conference on Computer Vision (ICCV), 2017.
-
CVPR
Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016.
Preprints
-
arXiv
Mo Zhou, Keren Ye, Viraj Shah, Kangfu Mei, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein Talebi
arXiv (preprint), 2025.
-
arXiv
Mo Zhou, Yiding Yang, Haoxiang Li, Vishal M. Patel, Gang Hua
arXiv (preprint), 2024.
-
arXiv
Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel
arXiv (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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