Tianhui Song (宋天惠)
Multimedia Computing Group
Department of Computer Science and Technology
Nanjing University
Email: tianhuisong [at] smail.nju.edu.cn

About Me

I am an MS at Department of Computer Science and Technology, Nanjing University, under the supervision of Prof. Limin Wang. I received the B.S. degree from Nanjing University in 2023.
My current research interests lies in Artificial Intelligence Generated Content (AIGC), including Diffusion Models and Multi-Modal Large Language Models (MLLMs).

News

  • 2025-05-01: Our NeuralSolver is accepted by ICML 2025.
  • 2025-04-10: Kimi-VL has been released, which I participated in.
  • 2024-09-26: Our FlowDCN is accepted by NeurIPS 2024.
  • 2024-07-01: Our SPLAM is accepted by ECCV 2024 and selected as oral presentation.
  • 2023-09-22: Our MixFormerV2 is accepted by NeurIPS 2023.

Publications [ Google Scholar ] [ Github ]

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging
T. Song, W. Feng, S. Wang, X. Li, T. Ge, B. Zheng, L. Wang
in arXiv preprint arXiv:2504.07491.
[ Paper ] [ Code ]
Differentiable Solver Search for Fast Diffusion Sampling
S. Wang, Z. Li, Q. Zhang, T. Song, X. Li, T. Ge, B. Zheng, L. Wang
in International Conference on Machine Learning (ICML), 2025.
[ Paper ] [ Code ]
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution
S. Wang, Z. Li, T. Song, X. Li, T. Ge, B. Zheng, L. Wang
in Conference on Neural Information Processing Systems (NeurIPS), 2024.
[ Paper ] [ Code ]
SPLAM: Accelerating Image Generation with Sub-Path Linear Approximation Model
T. Song, C. Xu, W. Feng, X. Li, T. Ge, B. Zheng, L. Wang
in European Conference on Computer Vision (ECCV), 2024. (Oral)
[ Paper ] [ Code ]
MixFormerV2: Efficient Fully Transformer Tracking
T. Song, Y. Cui, G. Wu, L. Wang
in Conference on Neural Information Processing Systems (NeurIPS), 2023.
[ Paper ] [ Code ]

Last Updated on 22nd June., 2025

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