Zhenhua Liu

19 papers A* 6Misc 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
GhostNetV3: Exploring the Training Strategies for Compact Models.
CoRR
Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang
2024 A* conf
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting.
NeurIPS
Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Kai Han, Yunhe Wang
2024 J jnl
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting.
CoRR
Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang
2023 J jnl
A Survey on Vision Transformer.
IEEE Trans. Pattern Anal. Mach. Intell.
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
2023 J jnl
Differential Weight Quantization for Multi-Model Compression.
IEEE Trans. Multim.
Wenhong Duan, Zhenhua Liu, Chuanmin Jia, Shanshe Wang, Siwei Ma, Wen Gao
2023 A* conf
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation.
ICCV
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
2023 J jnl
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation.
CoRR
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
2022 J jnl
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.
Trans. Mach. Learn. Res.
Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang
2022 A* conf
Instance-Aware Dynamic Neural Network Quantization.
CVPR
Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
2022 J jnl
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation.
CoRR
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
2022 — conf
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation.
ECCV (5)
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
2021 Misc conf
Evolutionary Quantization of Neural Networks with Mixed-Precision.
ICASSP
Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
2021 J jnl
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution.
CoRR
Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang
2021 A* conf
Post-Training Quantization for Vision Transformer.
NeurIPS
Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao
2021 J jnl
Post-Training Quantization for Vision Transformer.
CoRR
Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
2021 A* conf
Pre-Trained Image Processing Transformer.
CVPR
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
2020 J jnl
A Survey on Visual Transformer.
CoRR
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
2020 J jnl
Pre-Trained Image Processing Transformer.
CoRR
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
2018 A* conf
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks.
NeurIPS
Zhenhua Liu, Jizheng Xu, Xiulian Peng, Ruiqin Xiong