Fine-grained Data Distribution Alignment for Post-Training Quantization. - Yunshan Zhong; Mingbao Lin; Mengzhao Chen; Ke Li 015; Yunhang Shen; Fei Chao 001; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (CoRR, 2021)

Fine-grained Data Distribution Alignment for Post-Training Quantization. - Yunshan Zhong; Mingbao Lin; Mengzhao Chen; Ke Li 015; Yunhang Shen; Fei Chao 001; Yongjian Wu 001; Rongrong Ji (ECCV (11), 2022)

Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. - Yuxin Zhang 002; Mingbao Lin; Mengzhao Chen; Zihan Xu; Fei Chao 001; Yunhang Shen; Ke Li 015; Yongjian Wu 001; Rongrong Ji (CoRR, 2022)

Coarse-to-Fine Vision Transformer. - Mengzhao Chen; Mingbao Lin; Ke Li 015; Yunhang Shen; Yongjian Wu 001; Fei Chao 001; Rongrong Ji (CoRR, 2022)

Super Vision Transformer. - Mingbao Lin; Mengzhao Chen; Yuxin Zhang 002; Ke Li 015; Yunhang Shen; Chunhua Shen; Rongrong Ji (CoRR, 2022)

CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. - Mengzhao Chen; Mingbao Lin; Ke Li 015; Yunhang Shen; Yongjian Wu 001; Fei Chao 001; Rongrong Ji (AAAI, 2023)

SMMix: Self-Motivated Image Mixing for Vision Transformers. - Mengzhao Chen; Mingbao Lin; Zhihang Lin; Yuxin Zhang 002; Fei Chao 001; Rongrong Ji (ICCV, 2023)

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. - Mengzhao Chen; Wenqi Shao; Peng Xu; Mingbao Lin; Kaipeng Zhang; Fei Chao 001; Rongrong Ji; Yu Qiao 001; Ping Luo 002 (ICCV, 2023)

MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. - Yunshan Zhong; Mingbao Lin; Yuyao Zhou; Mengzhao Chen; Yuxin Zhang 002; Fei Chao 001; Rongrong Ji (CoRR, 2023)

Spatial Re-parameterization for N: M Sparsity. - Yuxin Zhang 002; Mingbao Lin; Yunshan Zhong; Mengzhao Chen; Fei Chao 001; Rongrong Ji (CoRR, 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)

Super Vision Transformer. - Mingbao Lin; Mengzhao Chen; Yuxin Zhang 002; Chunhua Shen; Rongrong Ji; Liujuan Cao (Int. J. Comput. Vis., 2023)

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. - Wenqi Shao; Mengzhao Chen; Zhaoyang Zhang 004; Peng Xu; Lirui Zhao; Zhiqian Li; Kaipeng Zhang; Peng Gao 007; Yu Qiao 001; Ping Luo 002 (ICLR, 2024)

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. - Peng Xu; Wenqi Shao; Mengzhao Chen; Shitao Tang; Kaipeng Zhang; Peng Gao 007; Fengwei An; Yu Qiao 001; Ping Luo 002 (ICLR, 2024)

Adapting LLaMA Decoder to Vision Transformer. - Jiahao Wang; Wenqi Shao; Mengzhao Chen; Chengyue Wu; Yong Liu 033; Kaipeng Zhang; Songyang Zhang; Kai Chen 026; Ping Luo 002 (CoRR, 2024)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. - Mengzhao Chen; Wenqi Shao; Peng Xu; Jiahao Wang; Peng Gao 007; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (CoRR, 2024)

PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs. - Mengzhao Chen; Yi Liu 081; Jiahao Wang; Yi Bin; Wenqi Shao; Ping Luo 002 (CoRR, 2024)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. - Mengzhao Chen; Wenqi Shao; Peng Xu; Jiahao Wang; Peng Gao 007; Kaipeng Zhang; Ping Luo 002 (ACL (1), 2025)

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. - Jiahao Wang; Ning Kang 001; Lewei Yao; Mengzhao Chen; Chengyue Wu; Songyang Zhang; Shuchen Xue; Yong Liu 033; Taiqiang Wu; Xihui Liu; Kaipeng Zhang; Shifeng Zhang; et al. (CoRR, 2025)

Enhance-A-Video: Better Generated Video for Free. - Yang Luo; Xuanlei Zhao; Mengzhao Chen; Kaipeng Zhang; Wenqi Shao; Kai Wang 036; Zhangyang Wang; Yang You 001 (CoRR, 2025)

DanceGRPO: Unleashing GRPO on Visual Generation. - Zeyue Xue; Jie Wu 001; Yu Gao; Fangyuan Kong; Lingting Zhu; Mengzhao Chen; Zhiheng Liu; Wei Liu 005; Qiushan Guo; Weilin Huang; Ping Luo 002 (CoRR, 2025)

Model Merging in Pre-training of Large Language Models. - Yunshui Li; Yiyuan Ma; Shen Yan; Chaoyi Zhang; Jing Liu; Jianqiao Lu; Ziwen Xu; Mengzhao Chen; Minrui Wang; Shiyi Zhan; Jin Ma; Xunhao Lai; et al. (CoRR, 2025)

Scaling Law for Quantization-Aware Training. - Mengzhao Chen; Chaoyi Zhang; Jing Liu; Yutao Zeng; Zeyue Xue; Zhiheng Liu; Yunshui Li; Jin Ma; Jie Huang; Xun Zhou; Ping Luo 002 (CoRR, 2025)

WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception. - Zhiheng Liu; Xueqing Deng; Shoufa Chen; Angtian Wang; Qiushan Guo; Mingfei Han; Zeyue Xue; Mengzhao Chen; Ping Luo 002; Linjie Yang (CoRR, 2025)