Mingbao Lin

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 109

Top Venues

CoRR

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Trans. Neural Networks Learn. Syst.

AAAI

Publications

Ziyue Zhang, Mingbao Lin, Rongrong Ji
ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion. CoRR (2024)
Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. CoRR (2024)
Zhihang Lin, Mingbao Lin, Meng Zhao, Rongrong Ji
AccDiffusion: An Accurate Method for Higher-Resolution Image Generation. CoRR (2024)
Mingbao Lin, Zhihang Lin, Wengyi Zhan, Liujuan Cao, Rongrong Ji
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method. CoRR (2024)
Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji
UniPTS: A Unified Framework for Proficient Post-Training Sparsity. CoRR (2024)
Yimin Xu, Mingbao Lin, Hong Yang, Fei Chao, Rongrong Ji
Shadow-aware dynamic convolution for shadow removal. Pattern Recognit. 146 (2024)
Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference. CoRR (2024)
Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. ICLR (2024)
Wengyi Zhan, Mingbao Lin, Chia-Wen Lin, Rongrong Ji
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource. CoRR (2024)
Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. AAAI (2024)
Wenhao Li, Mingbao Lin, Yunshan Zhong, Shuicheng Yan, Rongrong Ji
UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs. CoRR (2024)
Pengfei Jiang, Mingbao Lin, Fei Chao, Rongrong Ji
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. CoRR (2024)
Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
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 (2023)
Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CVPR (2023)
Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji
Spatial Re-parameterization for N: M Sparsity. CoRR (2023)
Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
SMMix: Self-Motivated Image Mixing for Vision Transformers. ICCV (2023)
Lirui Zhao, Yuxin Zhang, Mingbao Lin, Fei Chao, Rongrong Ji
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji
Lottery Jackpots Exist in Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye
Dynamic Support Network for Few-Shot Class Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CoRR (2023)
Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao
Representation Disparity-aware Distillation for 3D Object Detection. CoRR (2023)
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)
Xiujun Shu, Wei Wen, Liangsheng Xu, Mingbao Lin, Ruizhi Qiao, Taian Guo, Hanjun Li, Bei Gan, Xiao Wang, Xing Sun
Unified and Dynamic Graph for Temporal Character Grouping in Long Videos. CoRR (2023)
Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao
Representation Disparity-aware Distillation for 3D Object Detection. ICCV (2023)
Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao
Super Vision Transformer. Int. J. Comput. Vis. 131 (12) (2023)
Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji
Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji
Bi-directional Masks for Efficient N: M Sparse Training. ICML (2023)
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 (2023)
Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. AAAI (2023)
Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu
Resilient Binary Neural Network. AAAI (2023)
Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji
Bi-directional Masks for Efficient N: M Sparse Training. CoRR (2023)
Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Ziran Qin, Mingbao Lin, Weiyao Lin
Low-Rank Winograd Transformation for 3D Convolutional Neural Networks. CoRR (2023)
Junru Lu, Siyu An, Mingbao Lin, Gabriele Pergola, Yulan He, Di Yin, Xing Sun, Yunsheng Wu
MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation. CoRR (2023)
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 (2023)
Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji
Discriminator-Cooperated Feature Map Distillation for GAN Compression. CVPR (2023)
Shaojie Li, Mingbao Lin, Yan Wang, Fei Chao, Ling Shao, Rongrong Ji
Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation. IEEE Trans. Multim. 25 (2023)
Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji
Real-Time Image Demoireing on Mobile Devices. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji
Real-Time Image Demoiréing on Mobile Devices. ICLR (2023)
Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji
1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv
Resilient Binary Neural Network. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji
Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao
SiMaN: Sign-to-Magnitude Network Binarization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
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)
Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks. CoRR (2023)
Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. CoRR (2023)
Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. CoRR (2023)
Yunshan Zhong, Mingbao Lin, Lizhou You, Yuxin Zhang, Luoqi Liu, Rongrong Ji
Shadow Removal by High-Quality Shadow Synthesis. CoRR (2022)
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 (2022)
Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao
Knowledge Condensation Distillation. ECCV (11) (2022)
Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji
SeqTR: A Simple Yet Universal Network for Visual Grounding. ECCV (35) (2022)
Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji
Discriminator-Cooperated Feature Map Distillation for GAN Compression. CoRR (2022)
Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training. CoRR (2022)
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao
Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji
ARM: Any-Time Super-Resolution Method. CoRR (2022)
Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao
Knowledge Condensation Distillation. CoRR (2022)
Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye
Network Pruning Using Adaptive Exemplar Filters. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji
ARM: Any-Time Super-Resolution Method. ECCV (19) (2022)
Lizhou You, Mingbao Lin, Tie Hu, Fei Chao, Rongrong Ji
Exploring Content Relationships for Distilling Efficient GANs. CoRR (2022)
Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji
SMMix: Self-Motivated Image Mixing for Vision Transformers. CoRR (2022)
Yimin Xu, Mingbao Lin, Hong Yang, Ke Li, Yunhang Shen, Fei Chao, Rongrong Ji
Shadow-Aware Dynamic Convolution for Shadow Removal. CoRR (2022)
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)
Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CVPR (2022)
Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. CoRR (2022)
Hong Yang, Gongrui Nan, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal. CoRR (2022)
Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji
SeqTR: A Simple yet Universal Network for Visual Grounding. CoRR (2022)
Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
Coarse-to-Fine Vision Transformer. CoRR (2022)
Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Learning Best Combination for Efficient N: M Sparsity. NeurIPS (2022)
Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters. CoRR (2022)
Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Learning Best Combination for Efficient N: M Sparsity. CoRR (2022)
Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. CoRR (2022)
Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. ECCV (18) (2022)
Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji
Super Vision Transformer. CoRR (2022)
Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji
ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR (2021)
Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji
Lottery Jackpots Exist in Pre-trained Models. CoRR (2021)
Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CoRR (2021)
Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. CoRR (2021)
Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji
ReCU: Reviving the Dead Weights in Binary Neural Networks. ICCV (2021)
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao
SiMaN: Sign-to-Magnitude Network Binarization. CoRR (2021)
Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye
Non-Parametric Adaptive Network Pruning. CoRR (2021)
Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR (2021)
Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. CoRR (2021)
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji
Carrying out CNN Channel Pruning in a White Box. CoRR (2021)
Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
1×N Block Pattern for Network Sparsity. CoRR (2021)
Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. CoRR (2021)
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 (2021)
Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao
HRank: Filter Pruning Using High-Rank Feature Map. CVPR (2020)
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
Channel Pruning via Automatic Structure Search. CoRR (2020)
Mingbao Lin, Rongrong Ji, Shen Chen, Xiaoshuai Sun, Chia-Wen Lin
Similarity-Preserving Linkage Hashing for Online Image Retrieval. IEEE Trans. Image Process. 29 (2020)
Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji
Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. CoRR (2020)
Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian
Filter Sketch for Network Pruning. CoRR (2020)
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin
Rotated Binary Neural Network. CoRR (2020)
Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao
Fast Class-wise Updating for Online Hashing. CoRR (2020)
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
Channel Pruning via Automatic Structure Search. IJCAI (2020)
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian
Hadamard Matrix Guided Online Hashing. Int. J. Comput. Vis. 128 (8) (2020)
Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao
HRank: Filter Pruning using High-Rank Feature Map. CoRR (2020)
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin
Rotated Binary Neural Network. NeurIPS (2020)

Mingbao Lin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mingbao Lin