Enshu Liu

According to our database, Enshu Liu authored at least 11 papers between 2023 and 2024.

Collaborative distances:

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

2024

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching.

Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin

CoRR, 2024

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs.

Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CoRR, 2024

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation.

Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

CoRR, 2024

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better.

Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

CoRR, 2024

A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models.

Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rescaling Intermediate Features Makes Trained Consistency Models Perform Better.

Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.

Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start".

Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

CoRR, 2023

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models.

Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang

Proceedings of the International Conference on Machine Learning, 2023

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start".

Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Memory-Oriented Structural Pruning for Efficient Image Restoration.

Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023