Short Bio
I received my Ph.D. degree at University of Science and Technology of China (USTC) in 2023. Prior to that, I received my Bachelor degree of Information Security at University of Science and Technology of China in 2018.
My research interest includes general representation learning (e.g., fundamental network structure design, self-supervised pretraining) and artificial intelligence security (e.g., adversarial samples, DeepFake).
🔥 News
- 2024.02: 🎉🎉 OPERA is accepted by CVPR2024.
- 2023.11: 🎉🎉 PointCAT is accepted by TIP.
- 2023.07: 🎉🎉 ELP and RobustMAE are accepted by ICCV2023.
- 2023.03: 🎉🎉 MaskCLIP and DAM-VP are accepted by CVPR2023.
- 2023.01: 🎉🎉 CSWin is selectd as CVPR2022 top10 Influential paper.
- 2022.12: 🎉🎉 PeCo is accepted by AAAI2023.
- 2022.10: 🎉🎉 MaskCLIP won the 1st place in ICinW Industry Track.
- 2022.07: 🎉🎉 BootMAE and CD-Net are accepted by ECCV2022.
- 2022.03: 🎉🎉 CSWin, ICT, Mobile-Former, SI-Adv are accepted by CVPR2022.
- 2021.11: 🎉🎉 PeCo reaches the highest ImageNet-1K accuracy w/o addition data.
- 2021.08: 🎉🎉 Tacr-net is accepted by ACM MM.
- 2020.09: 🎉🎉 GreedyFool is accepted by NeurIPS2020.
- 2020.03: 🎉🎉 Sup-ADV, GVG and LG-GAN are accepted by CVPR2020.
- 2019.07: 🎉🎉 MAN is accepted by ICCV2019.
📝 Selected Publications
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
Xiaoyi Dong, Jianmin Bao, Yinglin Zheng, Ting Zhang, Dongdong Chen, Hao Yang, Ming Zeng, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu
CVPR 2023 1st in ICinW Industry Track
Peco: Perceptual codebook for bert pre-training of vision transformers
Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu
AAAI 2023 SOTA ImageNet-1K accuracy
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu
ECCV 2022 | Github
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo
CVPR 2022 CVPR2022 top10 Influential paper | Github
Protecting Celebrities from DeepFake with Identity Consistency Transformer
Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Ting Zhang, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo
CVPR 2022 | Github
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen
NeurIPS 2020 | Github
Robust Superpixel-Guided Attentional Adversarial Attack
Xiaoyi Dong, Jiangfan Han, Dongdong Chen, et al., Nenghai Yu
CVPR 2020 | Github
Self-Robust 3D Point Recognition via Gather-vector Guidance
Xiaoyi Dong, Dongdong Chen, et al., Nenghai Yu
CVPR 2020
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang (* Equal Contribution)
ICCV 2019
🎖 Honors and Awards
- Outstanding Reviewer of CVPR2023, ICCV2021
- 2023.10, President Scholarship, Chinese Academy of Sciences.
- 2023.05, Outstanding Doctoral Dissertation Award, USTC
- 2023.05, Excellent award, Stars of Tomorrow Internship Program, Microsoft Research Asia (MSRA).
- 2020.06, National Scholarship (The highest scholarship awarded by the Ministry of Education, China).
- 2019.09, IJCAI-2019 Alibaba Adversarial AI Challenge(AAAC2019). 1st prize in Defense Track, 2nd prize in Non-Target Attack Track.
- 2018.10, Competition on Adversarial Attacks and Defenses (CAAD2018). 2nd prize in Non-Target Attack Track.
📖 Educations
- 2018.06 - 2023.06, Ph.D., University of Science and Technology of China.
- 2014.09 - 2018.06, Undergraduate, University of Science and Technology of China.
Professional Activities
- Reviewer for CVPR 2021, 2022, 2023
- Reviewer for ICCV 2021, 2023
- Reviewer for ECCV 2022
- Reviewer for NeurIPS 2023
- Reviewer for AAAI 2020, 2021, 2022
- Reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI)
- Reviewer for IEEE Transactions on Image Processing(TIP)