Channel Pruning via Automatic Structure Search. - Mingbao Lin; Rongrong Ji; Yuxin Zhang 002; Baochang Zhang 001; Yongjian Wu 001; Yonghong Tian 001 (IJCAI, 2020)

Lottery Jackpots Exist in Pre-trained Models. - Yuxin Zhang 002; Mingbao Lin; Fei Chao 001; Yan Wang 059; Yongjian Wu 001; Feiyue Huang; Mingliang Xu 001; Yonghong Tian 001; Rongrong Ji (CoRR, 2021)

Carrying out CNN Channel Pruning in a White Box. - Yuxin Zhang 002; Mingbao Lin; Chia-Wen Lin; Jie Chen 001; Feiyue Huang; Yongjian Wu 001; Yonghong Tian 001; Rongrong Ji (CoRR, 2021)

1×N Block Pattern for Network Sparsity. - Mingbao Lin; Yuchao Li; Yuxin Zhang 002; Bohong Chen 001; Fei Chao 001; Mengdi Wang; Shen Li; Jun Yang; Rongrong Ji (CoRR, 2021)

Learning Best Combination for Efficient N: M Sparsity. - Yuxin Zhang 002; Mingbao Lin; Zhihang Lin; Yiting Luo; Ke Li 015; Fei Chao 001; Yongjian Wu 001; Rongrong Ji (NeurIPS, 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)

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

Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training. - Yunshan Zhong; Mingbao Lin; Yuxin Zhang 002; Gongrui Nan; Fei Chao 001; Rongrong Ji (CoRR, 2022)

Shadow Removal by High-Quality Shadow Synthesis. - Yunshan Zhong; Mingbao Lin; Lizhou You; Yuxin Zhang 002; Luoqi Liu; Rongrong Ji (CoRR, 2022)

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

Real-Time Image Demoiréing on Mobile Devices. - Yuxin Zhang 002; Mingbao Lin; Xunchao Li; Han Liu; Guozhi Wang; Fei Chao 001; Shuai Ren; Yafei Wen; Xiaoxin Chen 001; Rongrong Ji (ICLR, 2023)

Bi-directional Masks for Efficient N: M Sparse Training. - Yuxin Zhang 002; Yiting Luo; Mingbao Lin; Yunshan Zhong; Jingjing Xie; Fei Chao 001; Rongrong Ji (ICML, 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)

Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study. - Lirui Zhao; Yuxin Zhang 002; Mingbao Lin; Fei Chao 001; Rongrong Ji (CoRR, 2023)

1xN Pattern for Pruning Convolutional Neural Networks. - Mingbao Lin; Yuxin Zhang 002; Yuchao Li; Bohong Chen 001; Fei Chao 001; Mengdi Wang; Shen Li; Yonghong Tian 001; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Carrying Out CNN Channel Pruning in a White Box. - Yuxin Zhang 002; Mingbao Lin; Chia-Wen Lin; Jie Chen 001; Yongjian Wu 001; Yonghong Tian 001; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. - Mingbao Lin; Liujuan Cao; Yuxin Zhang 002; Ling Shao 001; Chia-Wen Lin; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

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

Lottery Jackpots Exist in Pre-Trained Models. - Yuxin Zhang 002; Mingbao Lin; Yunshan Zhong; Fei Chao 001; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning Image Demoiréing from Unpaired Real Data. - Yunshan Zhong; Yuyao Zhou; Yuxin Zhang 002; Fei Chao 001; Rongrong Ji (AAAI, 2024)

UniPTS: A Unified Framework for Proficient Post-Training Sparsity. - Jingjing Xie; Yuxin Zhang 002; Mingbao Lin; Zhihang Lin; Liujuan Cao; Rongrong Ji (CVPR, 2024)

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. - Lirui Zhao; Yue Yang; Kaipeng Zhang; Wenqi Shao; Yuxin Zhang 002; Yu Qiao 001; Ping Luo 002; Rongrong Ji (CVPR, 2024)

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. - Yuxin Zhang 002; Lirui Zhao; Mingbao Lin; Yunyun Sun; Yiwu Yao; Xingjia Han; Jared Tanner; Shiwei Liu 003; Rongrong Ji (ICLR, 2024)

CaM: Cache Merging for Memory-efficient LLMs Inference. - Yuxin Zhang 002; Yuxuan Du; Gen Luo; Yunshan Zhong; Zhenyu Zhang 015; Shiwei Liu 003; Rongrong Ji (ICML, 2024)

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers. - Yunshan Zhong; Jiawei Hu; You Huang; Yuxin Zhang 002; Rongrong Ji (ICML, 2024)

Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation. - Jingjing Xie; Yuxin Zhang 002; Mingbao Lin; Liujuan Cao; Rongrong Ji (ACM Multimedia, 2024)

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model. - Lirui Zhao; Tianshuo Yang; Wenqi Shao; Yuxin Zhang 002; Yu Qiao 001; Ping Luo 002; Kaipeng Zhang; Rongrong Ji (CoRR, 2024)

Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers. - Yunshan Zhong; Yuyao Zhou; Yuxin Zhang 002; Shen Li; Yong Li; Fei Chao 001; Zhanpeng Zeng; Rongrong Ji (CoRR, 2024)

TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning. - Jingjing Xie; Yuxin Zhang 002; Jun Peng; Zhaohong Huang; Liujuan Cao (AAAI, 2025)

Training Long-Context LLMs Efficiently via Chunk-wise Optimization. - Wenhao Li 001; Yuxin Zhang 002; Gen Luo; Daohai Yu; Rongrong Ji (ACL (Findings), 2025)

Dynamic Low-Rank Sparse Adaptation for Large Language Models. - Weizhong Huang; Yuxin Zhang 002; Xiawu Zheng; Yang Liu 005; Jing Lin; Yiwu Yao; Rongrong Ji (ICLR, 2025)

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models. - Gen Luo; Yiyi Zhou; Yuxin Zhang 002; Xiawu Zheng; Xiaoshuai Sun; Rongrong Ji (ICLR, 2025)

Distribution-flexible subset quantization for post-quantizing super-resolution networks. - Yunshan Zhong; Mingbao Lin; Jingjing Xie; Yuxin Zhang 002; Fei Chao 001; Rongrong Ji (Sci. China Inf. Sci., 2025)

Towards Efficient Automatic Self-Pruning of Large Language Models. - Weizhong Huang; Yuxin Zhang 002; Xiawu Zheng; Fei Chao 001; Rongrong Ji (CoRR, 2025)

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective. - Weizhong Huang; Yuxin Zhang 002; Xiawu Zheng; Fei Chao 001; Rongrong Ji (CoRR, 2025)

Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction. - Yunshan Zhong; You Huang; Jiawei Hu; Yuxin Zhang 002; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models. - Zhaohong Huang; Yuxin Zhang 002; Jingjing Xie; Fei Chao 001; Rongrong Ji (CoRR, 2025)

DS2Net: Detail-Semantic Deep Supervision Network for Medical Image Segmentation. - Zhaohong Huang; Yuxin Zhang 002; Taojian Zhou; Guorong Cai; Rongrong Ji (CoRR, 2025)

Spatial Re-Parameterization for N:M Sparsity. - Yuxin Zhang 002; Mingbao Lin; Mingliang Xu 001; Yonghong Tian 001; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2025)