Liu, Zhenhua

10 publications

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

ICML 2023 Applied Online Algorithms with Heterogeneous Predictors Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, Zhenhua Liu

ICCV 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

TMLR 2022 GhostSR: Learning Ghost Features for Efficient Image Super-Resolution Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang

CVPR 2022 Instance-Aware Dynamic Neural Network Quantization Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao

ECCV 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

CVPR 2022 Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation Zhaoyang Zeng, Yongsheng Luo, Zhenhua Liu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen

NeurIPS 2021 Post-Training Quantization for Vision Transformer Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao

CVPR 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

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