Yuchen Liu

According to our database, Yuchen Liu authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Rethinking Global Text Conditioning in Diffusion Transformers.

Nikita Starodubcev, Daniil Pakhomov, Zongze Wu, Ilya Drobyshevskiy, Yuchen Liu, Zhonghao Wang, Yuqian Zhou, Zhe Lin, Dmitry Baranchuk

CoRR, February, 2026

2025

ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration.

Yongsheng Yu, Haitian Zheng, Zhifei Zhang, Jianming Zhang, Yuqian Zhou, Connelly Barnes, Yuchen Liu, Wei Xiong, Zhe Lin, Jiebo Luo

CoRR, April, 2025

X-Fusion: Introducing New Modality to Frozen Large Language Models.

Sicheng Mo, Thao Nguyen, Xun Huang, Siddharth Srinivasan Iyer, Yijun Li, Yuchen Liu, Abhishek Tandon, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DOLLAR: Few-Step Video Generation Via Distillation and Latent Reward Optimization.

Zihan Ding, Chi Jin, Difan Liu, Haitian Zheng, Krishna Kumar Singh, Qiang Zhang, Yan Kang, Zhe Lin, Yuchen Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks.

Bhishma Dedhia, David Bourgin, Krishna Kumar Singh, Yuheng Li, Yan Kang, Zhan Xu, Niraj K. Jha, Yuchen Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection.

Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models.

Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model.

Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Personalized Residuals for Concept-Driven Text-to-Image Generation.

Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Building Efficient Neural Prefetcher.

Yuchen Liu, Georgios Tziantzioulis, David Wentzlaff

Proceedings of the International Symposium on Memory Systems, 2023

2022

Class-Discriminative CNN Compression.

Yuchen Liu, David Wentzlaff, Sun-Yuan Kung

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Evolving transferable neural pruning functions.

Yuchen Liu, Sun-Yuan Kung, David Wentzlaff

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

3D-FM GAN: Towards 3D-Controllable Face Manipulation.

Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Evolving Transferable Pruning Functions.

Yuchen Liu, Sun-Yuan Kung, David Wentzlaff

CoRR, 2021

Content-Aware GAN Compression.

Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Rethinking Class-Discrimination Based CNN Channel Pruning.

Yuchen Liu, David Wentzlaff, Sun-Yuan Kung

CoRR, 2020

2019

Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm.

Sun-Yuan Kung, Zejiang Hou, Yuchen Liu

Proceedings of the IEEE International Conference on Acoustics, 2019