Mengzhao Chen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Compression Rate

Deformable Contour

Top Venues

Int. J. Comput. Vis.

Publications

Jiahao Wang, Wenqi Shao, Mengzhao Chen, Chengyue Wu, Yong Liu, Kaipeng Zhang, Songyang Zhang, Kai Chen, Ping Luo
Adapting LLaMA Decoder to Vision Transformer. CoRR (2024)
Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. ICLR (2024)
Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. CoRR (2024)
Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. CoRR (2024)
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. ICLR (2024)
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. CoRR (2023)
Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji
I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji
Spatial Re-parameterization for N: M Sparsity. CoRR (2023)
Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
SMMix: Self-Motivated Image Mixing for Vision Transformers. ICCV (2023)
Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. ICCV (2023)
Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao
Super Vision Transformer. Int. J. Comput. Vis. 131 (12) (2023)
Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. CoRR (2023)
Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji
MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. CoRR (2023)
Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. AAAI (2023)
Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. CoRR (2022)
Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
SMMix: Self-Motivated Image Mixing for Vision Transformers. CoRR (2022)
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
Fine-grained Data Distribution Alignment for Post-Training Quantization. ECCV (11) (2022)
Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
Coarse-to-Fine Vision Transformer. CoRR (2022)
Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji
Super Vision Transformer. CoRR (2022)
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji
Fine-grained Data Distribution Alignment for Post-Training Quantization. CoRR (2021)