Mingbao Lin

According to our database, Mingbao Lin authored at least 103 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Spatial Re-Parameterization for N:M Sparsity.

Yuxin Zhang, Mingbao Lin, Mingliang Xu, Yonghong Tian, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method.

Qingcheng Zhu, Yangyang Ren, Linlin Yang, Mingbao Lin, Yanjing Li, Sheng Xu, Zichao Feng, Haodong Zhu, Yuguang Yang, Juan Zhang, Runqi Wang, Baochang Zhang

CoRR, July, 2025

SynergyAmodal: Deocclude Anything with Text Control.

Xinyang Li, Chengjie Yi, Jiawei Lai, Mingbao Lin, Yansong Qu, Shengchuan Zhang, Liujuan Cao

CoRR, April, 2025

Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling.

Ziran Qin, Youru Lv, Mingbao Lin, Zeren Zhang, Danping Zou, Weiyao Lin

CoRR, April, 2025

CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models.

Zhihang Lin, Mingbao Lin, Yuan Xie, Rongrong Ji

CoRR, March, 2025

WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes.

Ling Yang, Kaixin Zhu, Juanxi Tian, Bohan Zeng, Mingbao Lin, Hongjuan Pei, Wentao Zhang, Shuicheng Yan

CoRR, March, 2025

Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models.

Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao

CoRR, March, 2025

Seeing World Dynamics in a Nutshell.

Qiuhong Shen, Xuanyu Yi, Mingbao Lin, Hanwang Zhang, Shuicheng Yan, Xinchao Wang

CoRR, February, 2025

Distribution-flexible subset quantization for post-quantizing super-resolution networks.

Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji

Sci. China Inf. Sci., 2025

Low-rank Winograd transformation for 3D convolutional neural networks.

Ziran Qin, Mingbao Lin, Huabin Liu, John See, Gui Zou, Weiyao Lin

Sci. China Inf. Sci., 2025

CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences.

Ziran Qin, Yuchen Cao, Mingbao Lin, Wen Hu, Shixuan Fan, Ke Cheng, Weiyao Lin, Jianguo Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference.

Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing.

Pengfei Jiang, Mingbao Lin, Fei Chao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Shadow-aware dynamic convolution for shadow removal.

Yimin Xu, Mingbao Lin, Hong Yang, Fei Chao, Rongrong Ji

Pattern Recognit., February, 2024

AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource.

Wengyi Zhan, Mingbao Lin, Chia-Wen Lin, Rongrong Ji

IEEE Trans. Image Process., 2024

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration.

Hai Ye, Mingbao Lin, Hwee Tou Ng, Shuicheng Yan

CoRR, 2024

DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On.

Wengyi Zhan, Mingbao Lin, Shuicheng Yan, Rongrong Ji

CoRR, 2024

AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation.

Zhihang Lin, Mingbao Lin, Wengyi Zhan, Rongrong Ji

CoRR, 2024

TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images.

Mengcheng Li, Mingbao Lin, Fei Chao, Chia-Wen Lin, Rongrong Ji

CoRR, 2024

UniVST: A Unified Framework for Training-free Localized Video Style Transfer.

Quanjian Song, Mingbao Lin, Wengyi Zhan, Shuicheng Yan, Liujuan Cao

CoRR, 2024

EasyInv: Toward Fast and Better DDIM Inversion.

Ziyue Zhang, Mingbao Lin, Shuicheng Yan, Rongrong Ji

CoRR, 2024

Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing.

Pengfei Jiang, Mingbao Lin, Fei Chao, Rongrong Ji

CoRR, 2024

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement.

Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan

CoRR, 2024

ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion.

Ziyue Zhang, Mingbao Lin, Rongrong Ji

CoRR, 2024

CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method.

Mingbao Lin, Zhihang Lin, Wengyi Zhan, Liujuan Cao, Rongrong Ji

CoRR, 2024

Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation.

Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao, Rongrong Ji

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement.

Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs.

Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement.

Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AccDiffusion: An Accurate Method for Higher-Resolution Image Generation.

Zhihang Lin, Mingbao Lin, Meng Zhao, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2024, 2024

UniPTS: A Unified Framework for Proficient Post-Training Sparsity.

Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Bi-ViT: Pushing the Limit of Vision Transformer Quantization.

Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Lottery Jackpots Exist in Pre-Trained Models.

Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Super Vision Transformer.

Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao

Int. J. Comput. Vis., December, 2023

Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters.

Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Distilling a Powerful Student Model via Online Knowledge Distillation.

Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Carrying Out CNN Channel Pruning in a White Box.

Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training.

Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion.

Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

SiMaN: Sign-to-Magnitude Network Binarization.

Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

1xN Pattern for Pruning Convolutional Neural Networks.

Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Dynamic Support Network for Few-Shot Class Incremental Learning.

Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation.

Shaojie Li, Mingbao Lin, Yan Wang, Fei Chao, Ling Shao, Rongrong Ji

IEEE Trans. Multim., 2023

Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study.

Lirui Zhao, Yuxin Zhang, Mingbao Lin, Fei Chao, 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

Unified and Dynamic Graph for Temporal Character Grouping in Long Videos.

Xiujun Shu, Wei Wen, Liangsheng Xu, Mingbao Lin, Ruizhi Qiao, Taian Guo, Hanjun Li, Bei Gan, Xiao Wang, Xing Sun

CoRR, 2023

MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation.

Junru Lu, Siyu An, Mingbao Lin, Gabriele Pergola, Yulan He, Di Yin, Xing Sun, Yunsheng Wu

CoRR, 2023

Spatial Re-parameterization for N: M Sparsity.

Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Mengzhao Chen, Fei Chao, Rongrong Ji

CoRR, 2023

MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization.

Yunshan Zhong, Mingbao Lin, Yuyao Zhou, Mengzhao Chen, Yuxin Zhang, Fei Chao, Rongrong Ji

CoRR, 2023

Low-Rank Winograd Transformation for 3D Convolutional Neural Networks.

Ziran Qin, Mingbao Lin, Weiyao Lin

CoRR, 2023

Bi-directional Masks for Efficient N: M Sparse Training.

Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji

Proceedings of the International Conference on Machine Learning, 2023

Real-Time Image Demoiréing on Mobile Devices.

Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Representation Disparity-aware Distillation for 3D Object Detection.

Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.

Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SMMix: Self-Motivated Image Mixing for Vision Transformers.

Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer.

Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Discriminator-Cooperated Feature Map Distillation for GAN Compression.

Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Resilient Binary Neural Network.

Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation.

Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CF-ViT: A General Coarse-to-Fine Method for Vision Transformer.

Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Network Pruning Using Adaptive Exemplar Filters.

Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye

IEEE Trans. Neural Networks Learn. Syst., 2022

Filter Sketch for Network Pruning.

Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji

IEEE Trans. Neural Networks Learn. Syst., 2022

Fast Class-Wise Updating for Online Hashing.

Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Exploring Content Relationships for Distilling Efficient GANs.

Lizhou You, Mingbao Lin, Tie Hu, Fei Chao, Rongrong Ji

CoRR, 2022

Shadow Removal by High-Quality Shadow Synthesis.

Yunshan Zhong, Mingbao Lin, Lizhou You, Yuxin Zhang, Luoqi Liu, Rongrong Ji

CoRR, 2022

Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training.

Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji

CoRR, 2022

LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal.

Hong Yang, Gongrui Nan, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji

CoRR, 2022

Super Vision Transformer.

Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji

CoRR, 2022

Shadow-Aware Dynamic Convolution for Shadow Removal.

Yimin Xu, Mingbao Lin, Hong Yang, Ke Li, Yunhang Shen, Fei Chao, Rongrong Ji

CoRR, 2022

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation.

Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji

CoRR, 2022

Coarse-to-Fine Vision Transformer.

Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji

CoRR, 2022

Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need.

Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji

CoRR, 2022

Learning Best Combination for Efficient N: M Sparsity.

Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SeqTR: A Simple Yet Universal Network for Visual Grounding.

Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks.

Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

Fine-grained Data Distribution Alignment for Post-Training Quantization.

Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

Knowledge Condensation Distillation.

Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao

Proceedings of the Computer Vision - ECCV 2022, 2022

ARM: Any-Time Super-Resolution Method.

Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization.

Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training.

Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji

CoRR, 2021

Fine-grained Data Distribution Alignment for Post-Training Quantization.

Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji

CoRR, 2021

Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion.

Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian

CoRR, 2021

1×N Block Pattern for Network Sparsity.

Mingbao Lin, Yuchao Li, Yuxin Zhang, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji

CoRR, 2021

Carrying out CNN Channel Pruning in a White Box.

Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji

CoRR, 2021

Lottery Jackpots Exist in Pre-trained Models.

Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji

CoRR, 2021

Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning.

Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye

CoRR, 2021

Distilling a Powerful Student Model via Online Knowledge Distillation.

Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji

CoRR, 2021

SiMaN: Sign-to-Magnitude Network Binarization.

Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao

CoRR, 2021

Non-Parametric Adaptive Network Pruning.

Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye

CoRR, 2021

ReCU: Reviving the Dead Weights in Binary Neural Networks.

Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Similarity-Preserving Linkage Hashing for Online Image Retrieval.

Mingbao Lin, Rongrong Ji, Shen Chen, Xiaoshuai Sun, Chia-Wen Lin

IEEE Trans. Image Process., 2020

Hadamard Matrix Guided Online Hashing.

Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian

Int. J. Comput. Vis., 2020

Learning Efficient GANs using Differentiable Masks and co-Attention Distillation.

Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji

CoRR, 2020

Filter Sketch for Network Pruning.

Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian

CoRR, 2020

Rotated Binary Neural Network.

Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Channel Pruning via Automatic Structure Search.

Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

HRank: Filter Pruning Using High-Rank Feature Map.

Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Hadamard Codebook Based Deep Hashing.

Shen Chen, Liujuan Cao, Mingbao Lin, Yan Wang, Xiaoshuai Sun, Chenglin Wu, Jingfei Qiu, Rongrong Ji

CoRR, 2019

Supervised Online Hashing via Similarity Distribution Learning.

Mingbao Lin, Rongrong Ji, Shen Chen, Feng Zheng, Xiaoshuai Sun, Baochang Zhang, Liujuan Cao, Guodong Guo, Feiyue Huang

CoRR, 2019

Towards Optimal Discrete Online Hashing with Balanced Similarity.

Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval.

Hong Liu, Mingbao Lin, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, Rongrong Ji

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Supervised Online Hashing via Hadamard Codebook Learning.

Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017

Sensitive Information Detection on Cyber-Space.

Mingbao Lin, Xianming Lin, Yunhang Shen, Rongrong Ji

Proceedings of the Image and Graphics - 9th International Conference, 2017