Shanghai AI LabI am a first-year Ph.D. student at Fudan University (FDU) advised by Prof. Tong He. Since February 2023, I have been a Research Intern at Shanghai AI Lab.
Previously, I received my M.Eng. degree in Software Engineering from Dalian University of Technology (DLUT), advised by Prof. Zhihui Wang.
My current research interests focus on Multimodal Large Language Models, World Model, Reasoning and Spatial Perception.
Selected Publications (view all )
BRIDGE--Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
Dingning Liu, Haoyu Guo, Jingyi Zhou, Tong He
arXiv preprint
BRIDGE--Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
Dingning Liu, Haoyu Guo, Jingyi Zhou, Tong He
arXiv preprint
Omniworld: A multi-domain and multi-modal dataset for 4d world modeling
... (other authors), Dingning Liu, ... (7 authors)
The Fourteenth International Conference on Learning Representations (ICLR26)
Omniworld: A multi-domain and multi-modal dataset for 4d world modeling
... (other authors), Dingning Liu, ... (7 authors)
The Fourteenth International Conference on Learning Representations (ICLR26)
Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark
Zhenfei Yin*, Jiong Wang*, Jianjian Cao*, Zhelun Shi*, Dingning Liu, ...(other authors) (* equal contribution)
Advances in Neural Information Processing Systems 36 (NIPS24)
Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark
Zhenfei Yin*, Jiong Wang*, Jianjian Cao*, Zhelun Shi*, Dingning Liu, ...(other authors) (* equal contribution)
Advances in Neural Information Processing Systems 36 (NIPS24)