Mount Rainier, Washington

Yalun Dai

I am a second-year PhD student at Nanyang Technological University (NTU Research Scholarship), supervised by Prof. Kim-Hui Yap. I also collaborate on some research with Prof. Ziwei Liu. My research focuses on Data-centric AI and Embodied AI. I interned at Microsoft Research, ByteDance, and A*STAR.

Email: yalun001 [at] e.ntu.edu.sg Google Scholar

News

2026

ResearchStudio-Reel and ResearchStudio-Idea released.

S-Agent and SpatialBench released.

One paper was accepted to ACL 2026 Main Conference: Data Organization.

One paper was accepted to CVPR 2026: OmniVGGT (Highlight).

One paper was accepted to ICLR 2026: From Spatial to Actions.

One paper was accepted to IJCV: CoSurfGS.

One paper was accepted to IEEE TSC: Radiant.

2025

One paper was accepted to ICLR 2025: TFDP.

2024

Two papers were accepted to CVPR 2024: LTGC (Oral) and GP-NeRF (Highlight).

Two papers were accepted to ECCV 2024: LTRL (Oral) and GGRt .

One paper was accepted to IEEE TGRS: SPGC.

2023

One paper was accepted to CVPR 2023: Saliency Prompt.

Selected Publications (Google Scholar)

Embodied AI

S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence

Yalun Dai, Hao Li, Shulin Tian, Runmao Yao, Yuhao Dong, Fangzhou Hong, Zhaoxi Chen, Fangfu Liu, Baoliang Tian, Dingwen Zhang, Tao Wang, Kim-Hui Yap, Ziwei Liu

arXiv, 2026[Project][Paper]

World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot Manipulation

Yuhao Pan, Haosong Peng, Zhengshen Zhang, Zhengyang Yan, Yalun Dai, Fushuo Huo, Chujie Wang, Tianyu Qi, Xiucheng Wang, Nan Cheng, Wenchao Xu

arXiv, 2026[Paper]

SpatialBench: Is Your Spatial Foundation Model an All-Round Player?

Haosong Peng, Hao Li, Jiaqi Chen, Yuhao Pan, Runmao Yao, Yalun Dai, Fushuo Huo, Fangzhou Hong, Zhaoxi Chen, Haozhao Wang, Dingwen Zhang, Ziwei Liu, Wenchao Xu

arXiv, 2026[Paper]

OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer

Haosong Peng, Hao Li, Yalun Dai, Yushi Lan, Yihang Luo, Tianyu Qi, Zhengshen Zhang, Yufeng Zhan, Junfei Zhang, Wenchao Xu, Ziwei Liu

CVPR 2026, Highlight[Paper]

From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors

Zhengshen Zhang*, Hao Li*, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu

ICLR 2026[Paper][Project]

CoSurfGS: Collaborative 3D Surface Gaussian Splatting with Distributed Learning for Large Scene Reconstruction

Yuanyuan Gao*, Yalun Dai*, Hao Li*, Weicai Ye, Jiaqi Chen, Dingwen Zhang, Tong He, Guofeng Zhang, Junwei Han

International Journal of Computer Vision, 2026[Paper]

Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework

Haosong Peng, Tianyu Qi, Yufeng Zhan, Hao Li, Yalun Dai, Yuanqing Xia

IEEE Transactions on Services Computing, 2026[Paper]

GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time

Hao Li, Yuanyuan Gao, Chenming Wu, Dingwen Zhang, Yalun Dai, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han

ECCV 2024[Paper]

GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding

Hao Li, Dingwen Zhang, Yalun Dai, Nian Liu, Lechao Cheng, Jingfeng Li, Jingdong Wang, Junwei Han

CVPR 2024, Highlight[Paper]

Data-Centric AI

ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog

Lingao Xiao*, Yalun Dai*, Yangyu Huang*, Qihao Zhao, Wenshan Wu, Hugo He, Ruishuo Chen, Jin Jiang, Qianli Ma, Jiahuan Zhang, Xin Zhang, Ying Xin, Yang Ou, Yan Xia, Scarlett Li, Longbo Huang, Zhipeng Zhang, Yang He, Kim-Hui Yap, Yan Lu

arXiv, 2026[Paper]

ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes

Qihao Zhao, Yangyu Huang, Yalun Dai, Lingao Xiao, Jianjun Gao, Xin Zhang, Wenshan Wu, Scarlett Li, Yang He, Yan Lu, Kim-Hui Yap

arXiv, 2026[Paper]

Demystifying Data Organization for Enhanced LLM Training

Yalun Dai, Yangyu Huang, Tongshen Yang, Yonghan Wang, Xin Zhang, Wenshan Wu, Qihao Zhao, Hao Li, Yuanyuan Gao, Kim-Hui Yap, Scarlett Li

ACL 2026, Main Conference[Paper][Code]

Data Efficacy for Language Model Training

Yalun Dai, Yangyu Huang, Xin Zhang, Wenshan Wu, Chong Li, Wenhui Lu, Shijie Cao, Li Dong, Scarlett Li

arXiv, 2025[Paper][Code]

Training-Free Dataset Pruning for Instance Segmentation

Yalun Dai, Lingao Xiao, Ivor W. Tsang, Yang He

ICLR 2025[Paper]

LTRL: Boosting Long-tail Recognition via Reflective Learning

Qihao Zhao*, Yalun Dai*, Shen Lin, Wei Hu, Fan Zhang, Jun Liu

ECCV 2024, Oral[Paper]

LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content

Qihao Zhao*, Yalun Dai*, Hao Li, Wei Hu, Fan Zhang, Jun Liu

CVPR 2024, Oral[Paper]

Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt

Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, Junwei Han

CVPR 2023[Paper]

SPGC: Shape-Prior-Based Generated Content Data Augmentation for Remote Sensing Object Detection

Yalun Dai, Fei Ma, Wei Hu, Fan Zhang

IEEE Transactions on Geoscience and Remote Sensing, 2024[Paper]