Yikai Wang is a research fellow at the MMLab@NTU, working with Prof. Chen Change Loy, affiliated with S-Lab, Nanyang Technological University, Singapore. He obtained B.S. in Mathematics and Ph.D. in Statistics at Fudan University, advised by Prof. Yanwei Fu. His research interest spans statistical machine learning, computer vision, and foundation models, with a focus on content creation, multi-modality and subset selection.

Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency.
[arxiv] [paper] [full-size PDF] [code & MISATO dataset] [intro] [demo: Youtube, Bilibili]
Yikai Wang*, Chenjie Cao*, Junqiu Yu*, Ke Fan, Xiangyang Xue, Yanwei Fu.
CVPR, 2025.

ReasonGrounder: LVLM-Guided Hierarchical Feature Splatting for Open-Vocabulary 3D Visual Grounding and Reasoning.
[arxiv] [paper] [code & dataset] [intro]
Zhenyang Liu, Yikai Wang, Sixiao Zheng, Tongying Pan, Longfei Liang, Yanwei Fu, Xiangyang Xue.
CVPR, 2025.

Adaptive Pruning of Pretrained Transformer via Differential Inclusions.
[arxiv] [paper] [code]
Yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu.
ICLR, 2025.

3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline.
[arxiv] [paper] [code] [intro]
Jingwei Xu, Yikai Wang, Yiqun Zhao, Yanwei Fu, Shenghua Gao.
ICLR, 2025.

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

LEA: Learning Latent Embedding Alignment Model for fMRI Decoding and Encoding.
[arxiv] [paper] [code]
Xuelin Qian*, Yikai Wang*, Xinwei Sun, Yanwei Fu, Xiangyang Xue, Jianfeng Feng.
TMLR, 2024.

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

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

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

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

Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels.
[arxiv] [paper] [code] [intro]
Yikai Wang*, Yanwei Fu*, Xinwei Sun.
TPAMI, 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, 2021.

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