Yikai Wang is a Postdoctoral Research Fellow at the MMLab@NTU, working with Prof. Chen Change Loy, affiliated with S-Lab, Nanyang Technological University, Singapore. He obtained his Ph.D. in Statistics at Fudan University in 2024, advised by Prof. Yanwei Fu. Prior to this, He completed B.S. in Mathematics at Fudan University in 2019. His research spans statistical machine learning, computer vision, and foundation models, with a focus on content creation, multi-modal models and sample selection.

Repositioning the Subject within Image.
[arxiv] [full-size PDF] [intro] [ReS dataset] [demo: Youtube, Bilibili]
Yikai Wang, Chenjie Cao, Ke Fan, Qiaole Dong, Yifan Li, Xiangyang Xue, Yanwei Fu†.
TMLR, 2024.

LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model.
[arxiv] [paper] [code] [intro]
Chenjie Cao, Yunuo Cai, Qiaole Dong, Yikai Wang, Yanwei Fu†.
CVPR, 2024.

Coarse-to-Fine Amodal Segmentation with Shape Prior.
[arxiv] [paper] [code] [intro]
Jianxiong Gao, Xuelin Qian†, Yikai Wang, Tianjun Xiao†, Tong He, Zheng Zhang, Yanwei Fu.
ICCV, 2023.

3D StreetUnveiler with Semantic-Aware 2DGS.
[arxiv] [code] [intro]
Jingwei Xu, Yikai Wang, Yiqun Zhao, Yanwei Fu, Shenghua Gao†.
Preprint, 2024.

Towards Context-Stable and Visual-Consistent Image Inpainting.
[arxiv] [full-size PDF] [intro] [MISATO dataset] [demo: Youtube, Bilibili]
Yikai Wang*, Chenjie Cao*, Ke Fan, Xiangyang Xue, Yanwei Fu†.
Preprint, 2023.

Entity-Level Text-Guided Image Manipulation.
[arxiv] [full-size PDF] [code] [intro] [demo: Youtube, Bilibili]
Yikai Wang*, Jianan Wang*, Guansong Lu, Hang Xu, Zhenguo Li, Wei Zhang, Yanwei Fu†.
Technical Report, 2023.

Unified Lexical Representation for Interpretable Visual-Language Alignment.
[arxiv] [intro]
Yifan Li, Yikai Wang†, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He†.
NeurIPS, 2024.

NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation.
[arxiv] [intro]
Jingyang Huo*, Yikai Wang*, Yun Wang*, Xuelin Qian, Chong Li, Yanwei Fu†, Jianfeng Feng.
ECCV, 2024.

LEA: Learning Latent Embedding Alignment Model for fMRI Decoding and Encoding.
[arxiv]
Xuelin Qian*, Yikai Wang*, Xinwei Sun, Yanwei Fu, Xiangyang Xue, Jianfeng Feng†.
Preprint, 2023.

Towards Global Optimal Visual In-Context Learning Prompt Selection.
[arxiv] [code]
Chengming Xu*, Chen Liu*, Yikai Wang†, Yuan Yao, Yanwei Fu.
NeurIPS, 2024.

Test-Time Linear Out-of-Distribution Detection.
[paper]
Ke Fan*, Tong Liu*, Xingyu Qiu, Yikai Wang, Lian Huai†, Zeyu Shangguan, Shuang Gou, Fengjian Liu, Yuqian Fu, Yanwei Fu, Xingqun Jiang.
CVPR, 2024.

Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels.
[arxiv] [paper] [code] [intro]
Yikai Wang*, Yanwei Fu*, Xinwei Sun†.
TPAMI. Accepted in 2023.

Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels.
[arxiv] [paper] [code] [intro]
Yikai Wang, Xinwei Sun, Yanwei Fu†.
CVPR, 2022.

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning.
[arxiv] [paper] [code] [intro]
Yikai Wang, Li Zhang, Yuan Yao†, Yanwei Fu†.
TPAMI. Accepted in 2021.

Instance Credibility Inference for Few-Shot Learning.
[arxiv] [paper] [code] [intro]
Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu†.
CVPR, 2020.

FFD Augmentor: Towards Few-Shot Oracle Character Recognition from Scratch.
[paper] [code]
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.

An Embarrassingly Simple Baseline to One-Shot Learning.
[paper]
Chen Liu, Chengming Xu, Yikai Wang, Li Zhang, Yanwei Fu†.
CVPR Workshop, 2020.