Lin, Mingbao

31 publications

AAAI 2025 Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji

ICLR 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

NeurIPS 2025 CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models ZhiHang Lin, Mingbao Lin, Yuan Xie, Rongrong Ji

ICML 2025 EasyInv: Toward Fast and Better DDIM Inversion Ziyue Zhang, Mingbao Lin, Shuicheng Yan, Rongrong Ji

AAAI 2025 Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing Pengfei Jiang, Mingbao Lin, Fei Chao

ECCV 2024 AccDiffusion: An Accurate Method for Higher-Resolution Image Generation Zhihang Lin, Mingbao Lin, Meng Zhao, Rongrong Ji

AAAI 2024 Bi-ViT: Pushing the Limit of Vision Transformer Quantization Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

ICLR 2024 Dynamic Sparse No Training: Training-Free Fine-Tuning for Sparse LLMs Yuxin Zhang, Lirui Zhao, Mingbao Lin, Sun Yunyun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji

ICML 2024 Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David Doermann, Xiao Sun

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

ICML 2023 Bi-Directional Masks for Efficient N:M Sparse Training Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji

AAAI 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

ICCV 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

CVPR 2023 Discriminator-Cooperated Feature mAP Distillation for GAN Compression Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji

AAAI 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

CVPR 2023 Q-DETR: An Efficient Low-Bit Quantized Detection Transformer Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang

ICLR 2023 Real-Time Image Demoir$\acute{e}$ing on Mobile Devices Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Ren Shuai, Yafei Wen, Xiaoxin Chen, Rongrong Ji

ICCV 2023 Representation Disparity-Aware Distillation for 3D Object Detection Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

AAAI 2023 Resilient Binary Neural Network Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu

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

ECCV 2022 ARM: Any-Time Super-Resolution Method Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji

ECCV 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

ECCV 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

CVPR 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

ECCV 2022 Knowledge Condensation Distillation Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao

NeurIPS 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

ECCV 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

ICCV 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

IJCAI 2020 Channel Pruning via Automatic Structure Search Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian

NeurIPS 2020 Rotated Binary Neural Network Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin

AAAI 2019 Towards Optimal Discrete Online Hashing with Balanced Similarity Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu