Tianjian Feng
Junior CS Student @ Zhejiang University
Research Interests
My research focuses on scaling and optimizing generative foundations
across modalities. I am particularly interested in the intersection of
structured reasoning and generative modeling, exploring techniques such as
sampling-stage trajectory search, test-time scaling, and latent
representation learning. My goal is to develop robust, high-fidelity
frameworks that maintain both spatial-temporal consistency and logical
integrity in complex inference tasks.
Publications
* indicates equal contribution.
TINKER: Diffusion's Gift to 3D--Multi-View Consistent Editing From
Sparse Inputs without Per-Scene Optimization
Canyu Zhao*, Xiaoman Li*, Tianjian Feng, Zhiyue Zhao, Hao Chen,
Chunhua Shen
Accepted at ICLR 2026
[Arxiv]
[Project Page]
Beyond Hard Masks: Progressive Token Evolution for Diffusion Language
Models
Linhao Zhong*, Linyu Wu*, Bozhen Fang, Tianjian Feng, Chenchen
Jing, Wen Wang, Jiaheng Zhang, Hao Chen, Chunhua Shen
Accepted at ACL 2026
[Arxiv]
[Project Page]
Preprints
MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation
Liyang Li, Wen Wang, Canyu Zhao, Tianjian Feng, Zhiyue Zhao, Hao
Chen, Chunhua Shen
arXiv Preprint
[Arxiv]
[Project Page]
[Code]
Improving Diffusion Language Model Decoding through Joint Search in
Generation Order and Token Space
Yangyi Shen*, Tianjian Feng*, Jiaqi Han, Wen Wang, Tianlang Chen,
Chunhua Shen, Jure Leskovec, Stefano Ermon
arXiv Preprint
[Arxiv]