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ORCIDMengzhao Chen
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2020 – today
- 2025
[c7]Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Ping Luo:
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. ACL (1) 2025: 10081-10100- [i22]Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu
, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo:
LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. CoRR abs/2501.12976 (2025) - [i21]Yang Luo, Xuanlei Zhao, Mengzhao Chen, Kaipeng Zhang, Wenqi Shao, Kai Wang, Zhangyang Wang, Yang You:
Enhance-A-Video: Better Generated Video for Free. CoRR abs/2502.07508 (2025) - [i20]Zeyue Xue, Jie Wu, Yu Gao, Fangyuan Kong, Lingting Zhu, Mengzhao Chen, Zhiheng Liu, Wei Liu, Qiushan Guo, Weilin Huang, Ping Luo:
DanceGRPO: Unleashing GRPO on Visual Generation. CoRR abs/2505.07818 (2025) - [i19]Yunshui Li, Yiyuan Ma, Shen Yan, Chaoyi Zhang, Jing Liu, Jianqiao Lu, Ziwen Xu, Mengzhao Chen, Minrui Wang, Shiyi Zhan, Jin Ma, Xunhao Lai, Deyi Liu, Yao Luo, Xingyan Bin, Hongbin Ren, Mingji Han, Wenhao Hao, Bairen Yi, LingJun Liu, Bole Ma, Xiaoying Jia, Xun Zhou, Siyuan Qiao, Liang Xiang, Yonghui Wu:
Model Merging in Pre-training of Large Language Models. CoRR abs/2505.12082 (2025) - [i18]Mengzhao Chen, Chaoyi Zhang, Jing Liu, Yutao Zeng, Zeyue Xue, Zhiheng Liu, Yunshui Li, Jin Ma, Jie Huang, Xun Zhou, Ping Luo:
Scaling Law for Quantization-Aware Training. CoRR abs/2505.14302 (2025) - [i17]Zhiheng Liu, Xueqing Deng, Shoufa Chen, Angtian Wang, Qiushan Guo, Mingfei Han, Zeyue Xue, Mengzhao Chen, Ping Luo, Linjie Yang:
WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception. CoRR abs/2508.15720 (2025) - [i16]Bohong Wu, Mengzhao Chen, Xiang Luo, Shen Yan, Qifan Yu, Fan Xia, Tianqi Zhang, Hongrui Zhan, Zheng Zhong, Xun Zhou, Siyuan Qiao, Xingyan Bin:
Parallel Loop Transformer for Efficient Test-Time Computation Scaling. CoRR abs/2510.24824 (2025) - [i15]Mengzhao Chen, Meng Wu, Hui Jin, Zhihang Yuan, Jing Liu, Chaoyi Zhang, Yunshui Li, Jie Huang, Jin Ma, Zeyue Xue, Zhiheng Liu, Xingyan Bin, Ping Luo:
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats. CoRR abs/2510.25602 (2025) - 2024
- [c6]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 - [c5]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 - [i14]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 abs/2402.16880 (2024) - [i13]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 abs/2404.06773 (2024) - [i12]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 abs/2407.11062 (2024) - [i11]Mengzhao Chen, Yi Liu, Jiahao Wang, Yi Bin, Wenqi Shao, Ping Luo:
PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs. CoRR abs/2410.05265 (2024) - 2023
- [j1]Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao:
Super Vision Transformer. Int. J. Comput. Vis. 131(12): 3136-3151 (2023) - [c4]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: 7042-7052 - [c3]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: 17118-17128 - [c2]Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji:
SMMix: Self-Motivated Image Mixing for Vision Transformers. ICCV 2023: 17214-17224 - [i10]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 abs/2305.08117 (2023) - [i9]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 abs/2305.17997 (2023) - [i8]Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji:
Spatial Re-parameterization for N: M Sparsity. CoRR abs/2306.05612 (2023) - [i7]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 abs/2308.13137 (2023) - [i6]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 abs/2311.10126 (2023) - 2022
- [c1]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: 70-86 - [i5]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 abs/2201.12826 (2022) - [i4]Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
Coarse-to-Fine Vision Transformer. CoRR abs/2203.03821 (2022) - [i3]Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji:
Super Vision Transformer. CoRR abs/2205.11397 (2022) - [i2]Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji:
SMMix: Self-Motivated Image Mixing for Vision Transformers. CoRR abs/2212.12977 (2022) - 2021
- [i1]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 abs/2109.04186 (2021)
Coauthor Index
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