Zhenhua Liu

According to our database, Zhenhua Liu authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting.

Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang

CoRR, 2024

GhostNetV3: Exploring the Training Strategies for Compact Models.

Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang

CoRR, 2024

2023

Differential Weight Quantization for Multi-Model Compression.

Wenhong Duan, Zhenhua Liu, Chuanmin Jia, Shanshe Wang, Siwei Ma, Wen Gao

IEEE Trans. Multim., 2023

A Survey on Vision Transformer.

Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation.

Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.

Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang

Trans. Mach. Learn. Res., 2022

P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation.

Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

Instance-Aware Dynamic Neural Network Quantization.

Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Post-Training Quantization for Vision Transformer.

Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao

CoRR, 2021

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.

Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang

CoRR, 2021

Post-Training Quantization for Vision Transformer.

Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Evolutionary Quantization of Neural Networks with Mixed-Precision.

Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao

Proceedings of the IEEE International Conference on Acoustics, 2021

Pre-Trained Image Processing Transformer.

Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

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

2020

A Survey on Visual Transformer.

Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao

CoRR, 2020

2018

Frequency-Domain Dynamic Pruning for Convolutional Neural Networks.

Zhenhua Liu, Jizheng Xu, Xiulian Peng, Ruiqin Xiong

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018