About Me
I am currently a fourth-year Ph.D. student in the
Electrical and Computer Engineering Dept
at Johns Hopkins University.
I am advised by Prof. Vishal M. Patel.
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.
My research interest lies in computer vision and machine learning,
especially securing deep neural network performance under distribution shifts,
or say, expecting the unexpected at deep neural network runtime.
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
-
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, Yiding Yang, Haoxiang Li, Vishal M. Patel, Gang Hua
arXiv (preprint), 2024.
-
arXiv
Kangfu Mei, Mo Zhou, Vishal M. Patel
arXiv (preprint), 2023.
-
arXiv
Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel
arXiv (preprint), 2023.
Services
Conference Reviewers
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020-
- Annual Conf. on Neural Information Processing Systems (NeurIPS) 2022-
- IEEE/CVF International Conference on Computer Vision (ICCV) 2021-
- European Conference on Computer Vision (ECCV) 2020-
- International Conf. Learning Representations (ICLR) 2022-
- International Conf. of Machine Learning (ICML) 2023-
- AAAI Conf. on Artificial Intelligence (AAAI) 2021-
- Winter Conf. on Applications of Computer Vision (WACV) 2021-
- Asian Conf. on Computer vision (ACCV) 2018-
- International Conf. on Pattern Recognition 2024-
Journal Reviewers
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021-
- IEEE Trans. on Neural Networks and Learning Systems (TNNLS) 2022-
- IEEE Trans. on Multimedia (TMM) 2023-
- IEEE Trans. on Dependable and Secure Computing (TDSC) 2022-
- Elsevier Journal of Neural Networks (NeuNet) 2022-
- Elsevier Journal of Neurocomputing (NeuComp) 2021-
- Elsevier Journal of Image and Vision Computing (IMAVIS) 2023-
- SPringer Journal: International Journal of Computer Vision (IJCV) 2023-
- Springer Journal of Machine Vision and Application (MVA) 2020-
- Springer Journal of Complex & Intelligent Systems (CAIS) 2021-
- Oxford University Press: The Computer Journal (COMPJ) 2023-
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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