About
I am a Ph.D. candidate under the supervision of Prof. Yanwei Fu in the School of Data Science at Fudan University. Prior to this, I completed my Bachelor of Science in Mathematics from Fudan University.
My research primarily revolves around the development of machine learning algorithms that possess both theoretical guarantees and empirical efficacy. Specifically, I am interested in statistical sparsity for learning problems, with a focus on sample selection and applications in few-shot learning (ICI, CVPR20, TPAMI21) as well as learning with noisy labels (SPR, CVPR22).
Furthermore, I explore the false selection issue in sample selection and propose a label-knockoff method (Knockoffs-SPR, preprint) to control the false selection rate.
Additionally, I engage in research of unlocking the potential of foundation models, with a focus on using generative decoding models for standard vision tasks like text-guided (SeMani, preprint) and reference-guided (PGIC, preprint) image manipulation, as well as scientific problems such as neural coding (LEA, preprint) and weather forecasting (top 3%, 19/697, on WiDS Datathon 2023).
Apart from my own research, I assist junior students in intriguing research projects. These can be found in miscellaneous publications, including oracle character recognition (FFD Augmentor, an undergraduate project) and so on.
Talks
Publications
Note: Asterisk (*) indicates equal contribution and dagger (†) indicates corresponding author(s).
Sparsity for Learning
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Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels.
[arxiv]
[code coming soon]
[bib]
[intro]
[简介]
Yikai Wang*,
Yanwei Fu*,
Xinwei Sun†.
Preprint, 2023.
@article{wang2023knockoffs,
title={Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels},
author={Wang, Yikai and Fu, Yanwei and Sun, Xinwei},
journal={arXiv preprint arXiv:2301.00545},
year={2023}
}
|
|
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels.
[arxiv]
[paper]
[code]
[bib]
[intro]
[简介]
Yikai Wang, Xinwei Sun, Yanwei Fu†.
CVPR, 2022.
@inproceedings{wang2022scalable,
title={Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels},
author={Wang, Yikai and Xinwei Sun and Fu, Yanwei},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2022}
}
|
|
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning.
[arxiv]
[paper]
[code]
[bib]
[intro]
Yikai Wang, Li Zhang, Yuan Yao†, Yanwei Fu†.
TPAMI. Accepted in 2021.06.
@article{wang2021trust,
title={How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning},
author={Wang, Yikai and Zhang, Li and Yao, Yuan and Fu, Yanwei},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2021},
doi={10.1109/TPAMI.2021.3086140}}
}
|
|
Instance Credibility Inference for Few-Shot Learning.
[arxiv]
[paper]
[code]
[bib]
[intro]
[简介]
Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu†.
CVPR, 2020.
@inproceedings{wang2020instance,
title={Instance Credibility Inference for Few-Shot Learning},
author={Wang, Yikai and Xu, Chengming and Liu, Chen and Zhang, Li and Fu, Yanwei},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020}
}
|
|
An Embarrassingly Simple Baseline to One-Shot Learning.
[paper]
[code]
[bib]
Chen Liu, Chengming Xu, Yikai Wang, Li Zhang, Yanwei Fu†.
CVPR Workshop, 2020.
@InProceedings{Liu_2020_CVPR_Workshops,
author = {Liu, Chen and Xu, Chengming and Wang, Yikai and Zhang, Li and Fu, Yanwei},
title = {An Embarrassingly Simple Baseline to One-Shot Learning},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
year = {2020}
}
|
Generative Decoding
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Entity-Level Text-Guided Image Manipulation.
[arxiv]
[full-size PDF]
[code]
[bib]
[intro]
[demo: Youtube, Bilibili]
Yikai Wang*, Jianan Wang*, Guansong Lu, Hang Xu, Zhenguo Li, Wei Zhang, Yanwei Fu†.
Preprint, 2023.
@article{wang2023entitylevel,
title={Entity-Level Text-Guided Image Manipulation},
author={Wang, Yikai and Wang, Jianan and Lu, Guansong and Xu, Hang and Li, Zhenguo and Zhang, Wei and Fu, Yanwei},
year={2023},
journal={arXiv preprint arXiv:2302.11383},
}
|
|
A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations.
[arxiv]
[bib]
Chenjie Cao, Qiaole Dong, Yikai Wang, Yunuo Cai, Yanwei Fu†.
Preprint, 2023.
@article{cao2023unified,
title={A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations},
author={Chenjie Cao and Qiaole Dong and Yikai Wang and Yunuo Cai and Yanwei Fu},
year={2023},
journal={arXiv preprint arXiv:2305.11577},
}
|
|
Joint fMRI Decoding and Encoding with Latent Embedding Alignment.
[arxiv]
[bib]
Xuelin Qian*, Yikai Wang*, Yanwei Fu, Xinwei Sun, Jianfeng Feng, Xiangyang Xue. Preprint, 2023. Work in progress.
@article{qian2023semantic,
title={Joint fMRI Decoding and Encoding with Latent Embedding Alignment},
author={Xuelin Qian and Yikai Wang and Yanwei Fu and Xinwei Sun and Jianfeng Feng and Xiangyang Xue},
year={2023},
journal={arXiv preprint arXiv:2303.14730},
}
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Miscellaneous
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FFD Augmentor: Towards Few-Shot Oracle Character Recognition from Scratch.
[paper]
[code]
[bib]
Xinyi Zhao, Siyuan Liu, Yikai Wang, Yanwei Fu†.
ACCV, 2022.
Note: This is the final project of undergraduate course NNDL 2022, for which I served as TA.
@InProceedings{Zhao_2022_ACCV,
author = {Zhao, Xinyi and Liu, Siyuan and Wang, Yikai and Fu, Yanwei},
title = {FFD Augmentor: Towards Few-Shot Oracle Character Recognition from Scratch},
booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
month = {December},
year = {2022},
pages = {1622-1639}
}
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Service
- I have served as a reviewer for the CVPR, ICCV, ICML, NeurIPS, and some other conferences and journals, and was acknowledged for my exceptional work at NeurIPS 2022 (top 8%).
Teaching
Network and Deep Learning,
TA, 2019-2022 Springs in School of Data Science, Fudan University.
Education
Ph.D. of Statistics (Machine Learning track),
2019.9 - Present, Fudan University, Shanghai, China.
Bachelor of Science in Mathmatics,
2015.9 - 2019.6, Fudan University, Shanghai, China.
