Mengzhao Chen - RankMe

32 papers A* 5Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models. CoRR Junyu Chen, Jungang Li, Jing Xiong, Wenjie Wang, Qingyao Yang, He Xiao, Zhen Li, Taiqiang Wu, Mengzhao Chen, Zhen Peng, Chaofan Tao, Long Shi, Hongxia Yang, Ngai Wong
2026	J	`jnl`	I&S-ViT: An Inclusive & Stable Method for Post-Training ViTs Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji
2025	J	`jnl`	DanceGRPO: Unleashing GRPO on Visual Generation. CoRR Zeyue Xue, Jie Wu, Yu Gao, Fangyuan Kong, Lingting Zhu, Mengzhao Chen, Zhiheng Liu, Wei Liu, Qiushan Guo, Weilin Huang, Ping Luo
2025	—	`conf`	EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. ACL (1) Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Ping Luo
2025	J	`jnl`	Enhance-A-Video: Better Generated Video for Free. CoRR Yang Luo, Xuanlei Zhao, Mengzhao Chen, Kaipeng Zhang, Wenqi Shao, Kai Wang, Zhangyang Wang, Yang You
2025	J	`jnl`	INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats. CoRR 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
2025	J	`jnl`	LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. CoRR 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
2025	J	`jnl`	Model Merging in Pre-training of Large Language Models. CoRR 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
2025	J	`jnl`	Parallel Loop Transformer for Efficient Test-Time Computation Scaling. CoRR Bohong Wu, Mengzhao Chen, Xiang Luo, Shen Yan, Qifan Yu, Fan Xia, Tianqi Zhang, Hongrui Zhan, Zheng Zhong, Xun Zhou, Siyuan Qiao, Xingyan Bin
2025	J	`jnl`	Scaling Law for Quantization-Aware Training. CoRR Mengzhao Chen, Chaoyi Zhang, Jing Liu, Yutao Zeng, Zeyue Xue, Zhiheng Liu, Yunshui Li, Jin Ma, Jie Huang, Xun Zhou, Ping Luo
2025	J	`jnl`	WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception. CoRR Zhiheng Liu, Xueqing Deng, Shoufa Chen, Angtian Wang, Qiushan Guo, Mingfei Han, Zeyue Xue, Mengzhao Chen, Ping Luo, Linjie Yang
2024	J	`jnl`	Adapting LLaMA Decoder to Vision Transformer. CoRR Jiahao Wang, Wenqi Shao, Mengzhao Chen, Chengyue Wu, Yong Liu, Kaipeng Zhang, Songyang Zhang, Kai Chen, Ping Luo
2024	A*	`conf`	BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. ICLR Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
2024	J	`jnl`	BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. CoRR Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
2024	J	`jnl`	EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. CoRR Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
2024	A*	`conf`	OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. ICLR Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
2024	J	`jnl`	PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs. CoRR Mengzhao Chen, Yi Liu, Jiahao Wang, Yi Bin, Wenqi Shao, Ping Luo
2023	A*	`conf`	CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. AAAI Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
2023	A*	`conf`	DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. ICCV Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
2023	J	`jnl`	DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. CoRR Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
2023	J	`jnl`	I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization. CoRR Yunshan Zhong, Jiawei Hu, Mingbao Lin, Mengzhao Chen, Rongrong Ji
2023	J	`jnl`	MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. CoRR Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji
2023	J	`jnl`	OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. CoRR Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
2023	A*	`conf`	SMMix: Self-Motivated Image Mixing for Vision Transformers. ICCV Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
2023	J	`jnl`	Spatial Re-parameterization for N: M Sparsity. CoRR Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji
2023	J	`jnl`	Super Vision Transformer. Int. J. Comput. Vis. Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao
2022	J	`jnl`	Coarse-to-Fine Vision Transformer. CoRR Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
2022	—	`conf`	Fine-grained Data Distribution Alignment for Post-Training Quantization. ECCV (11) Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
2022	J	`jnl`	Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. CoRR Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji
2022	J	`jnl`	SMMix: Self-Motivated Image Mixing for Vision Transformers. CoRR Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
2022	J	`jnl`	Super Vision Transformer. CoRR Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji
2021	J	`jnl`	Fine-grained Data Distribution Alignment for Post-Training Quantization. CoRR Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji