Frequency-Domain Dynamic Pruning for Convolutional Neural Networks. - Zhenhua Liu 003; Jizheng Xu; Xiulian Peng; Ruiqin Xiong (NeurIPS, 2018)

A Survey on Visual Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (CoRR, 2020)

Pre-Trained Image Processing Transformer. - Hanting Chen; Yunhe Wang 001; Tianyu Guo 001; Chang Xu 002; Yiping Deng; Zhenhua Liu 003; Siwei Ma; Chunjing Xu; Chao Xu 006; Wen Gao 001 (CVPR, 2021)

Evolutionary Quantization of Neural Networks with Mixed-Precision. - Zhenhua Liu 003; Xinfeng Zhang 001; Shanshe Wang; Siwei Ma; Wen Gao 001 (ICASSP, 2021)

Post-Training Quantization for Vision Transformer. - Zhenhua Liu 003; Yunhe Wang 001; Kai Han 002; Wei Zhang 196; Siwei Ma; Wen Gao 001 (NeurIPS, 2021)

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. - Ying Nie; Kai Han 002; Zhenhua Liu 003; An Xiao; Yiping Deng; Chunjing Xu; Yunhe Wang 001 (CoRR, 2021)

Post-Training Quantization for Vision Transformer. - Zhenhua Liu 003; Yunhe Wang 001; Kai Han 002; Siwei Ma; Wen Gao 001 (CoRR, 2021)

Instance-Aware Dynamic Neural Network Quantization. - Zhenhua Liu 003; Yunhe Wang 001; Kai Han 002; Siwei Ma; Wen Gao 001 (CVPR, 2022)

P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation. - Wenkang Shan; Zhenhua Liu 003; Xinfeng Zhang 001; Shanshe Wang; Siwei Ma; Wen Gao 001 (ECCV (5), 2022)

GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. - Ying Nie; Kai Han 002; Zhenhua Liu 003; Chuanjian Liu; Yunhe Wang 001 (Trans. Mach. Learn. Res., 2022)

Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. - Wenkang Shan; Zhenhua Liu 003; Xinfeng Zhang 001; Zhao Wang 004; Kai Han 002; Shanshe Wang; Siwei Ma; Wen Gao 001 (ICCV, 2023)

A Survey on Vision Transformer. - Kai Han 002; Yunhe Wang 001; Hanting Chen; Xinghao Chen 001; Jianyuan Guo; Zhenhua Liu 003; Yehui Tang; An Xiao; Chunjing Xu; Yixing Xu; Zhaohui Yang 003; Yiman Zhang; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Differential Weight Quantization for Multi-Model Compression. - Wenhong Duan; Zhenhua Liu 003; Chuanmin Jia; Shanshe Wang; Siwei Ma; Wen Gao 001 (IEEE Trans. Multim., 2023)

Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting. - Fangcheng Liu; Yehui Tang; Zhenhua Liu 003; Yunsheng Ni; Duyu Tang; Kai Han 002; Yunhe Wang 001 (NeurIPS, 2024)

GhostNetV3: Exploring the Training Strategies for Compact Models. - Zhenhua Liu 003; Zhiwei Hao; Kai Han 002; Yehui Tang; Yunhe Wang 001 (CoRR, 2024)

Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. - Fangcheng Liu; Yehui Tang; Zhenhua Liu 003; Yunsheng Ni; Kai Han 002; Yunhe Wang 001 (CoRR, 2024)