Mengzhao Chen

According to our database, Mengzhao Chen authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation.

Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo

CoRR, 2024

2023

Super Vision Transformer.

Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao

Int. J. Comput. Vis., December, 2023

I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization.

Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji

CoRR, 2023

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo

CoRR, 2023

Spatial Re-parameterization for N: M Sparsity.

Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji

CoRR, 2023

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.

Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo

CoRR, 2023

MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization.

Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji

CoRR, 2023

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.

Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo

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

SMMix: Self-Motivated Image Mixing for Vision Transformers.

Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji

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

CF-ViT: A General Coarse-to-Fine Method for Vision Transformer.

Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Super Vision Transformer.

Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji

CoRR, 2022

Coarse-to-Fine Vision Transformer.

Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji

CoRR, 2022

Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need.

Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji

CoRR, 2022

Fine-grained Data Distribution Alignment for Post-Training Quantization.

Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Fine-grained Data Distribution Alignment for Post-Training Quantization.

Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji

CoRR, 2021