Yutian Liu

According to our database, Yutian Liu authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BiHiTo: Biomolecular Hierarchy-inspired Tokenization.

Ruochong Zheng, Yutian Liu, Yian Zhao, Zhiwei Nie, Xuehan Hou, Chang Liu, Siwei Ma, Youdong Mao, Jie Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics.

Kaiwen Cheng, Yutian Liu, Zhiwei Nie, Mujie Lin, Yanzhen Hou, Yiheng Tao, Chang Liu, Jie Chen, Youdong Mao, Yonghong Tian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence.

Zhiwei Nie, Yiming Ma, Yutian Liu, Xiansong Huang, Zhihong Liu, Peng Yang, Fan Xu, Feng Yin, Zigang Li, Jie Fu, Zhixiang Ren, Wen-Bin Zhang, Jie Chen

Briefings Bioinform., July, 2025

OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning.

Zhiwei Nie, Hongyu Zhang, Hao Jiang, Yutian Liu, Xiansong Huang, Fan Xu, Jie Fu, Zhixiang Ren, Yonghong Tian, Wen-Bin Zhang, Jie Chen

CoRR, June, 2025

Generative prediction of real-world prevalent SARS-CoV-2 mutation with <i>in silico</i> virus evolution.

Xudong Liu, Zhiwei Nie, Haorui Si, Xurui Shen, Yutian Liu, Xiansong Huang, Tianyi Dong, Fan Xu, Zhixiang Ren, Peng Zhou, Jie Chen

Briefings Bioinform., May, 2025

A unified evolution-driven deep learning framework for virus variation driver prediction.

Zhiwei Nie, Xudong Liu, Jie Chen, Zhennan Wang, Yutian Liu, Haorui Si, Tianyi Dong, Fan Xu, Guoli Song, Yu Wang, Peng Zhou, Wen Gao, Yonghong Tian

Nat. Mac. Intell., 2025

A Unified Peptide Generative Framework via a Weakly Order-Dependent Autoregressive Language Model and Lifelong Learning.

Zhiwei Nie, Daixi Li, Yutian Liu, Fan Xu, Hongyu Zhang, Xiansong Huang, Xudong Liu, Zhennan Wang, Yiming Ma, Yuxin Ye, Feng Yin, Wen-Bin Zhang, Zhixiang Ren, Zhihong Liu, Zigang Li, Jie Chen

J. Chem. Inf. Model., 2025

2024

SimSwap++: Towards Faster and High-Quality Identity Swapping.

Xuanhong Chen, Bingbing Ni, Yutian Liu, Naiyuan Liu, Zhilin Zeng, Hang Wang

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

2023

3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process.

Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun, Yutian Liu, Fuzhen Wang

CoRR, 2023

Omni Aggregation Networks for Lightweight Image Super-Resolution.

Hang Wang, Xuanhong Chen, Bingbing Ni, Yutian Liu, Jinfan Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process.

Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun, Yutian Liu, Fuzhen Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit.

Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Hang Wang, Zhengyan Tong, Yutian Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Bi-volution: A Static and Dynamic Coupled Filter.

Xiwei Hu, Xuanhong Chen, Bingbing Ni, Teng Li, Yutian Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022