Mingbao Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
10
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling. | Ziran Qin, Youru Lv, Mingbao Lin, Hang Guo, Zeren Zhang, Danping Zou, Weiyao Lin |
| 2026 | ACL | Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning. | Benteng Chen, Weida Wang, Shufei Zhang, Mingbao Lin, Min Zhang |
| 2025 | AAAI | Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. | Pengfei Jiang, Mingbao Lin, Fei Chao |
| 2025 | AAAI | Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference. | Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji |
| 2025 | EMNLP | Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models. | Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao |
| 2025 | ICLR | 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 |
| 2025 | ICML | EasyInv: Toward Fast and Better DDIM Inversion. | Ziyue Zhang, Mingbao Lin, Shuicheng Yan, Rongrong Ji |
| 2024 | AAAI | Bi-ViT: Pushing the Limit of Vision Transformer Quantization. | Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang |
| 2024 | CVPR | UniPTS: A Unified Framework for Proficient Post-Training Sparsity. | Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao, Rongrong Ji |
| 2024 | ECCV | AccDiffusion: An Accurate Method for Higher-Resolution Image Generation. | Zhihang Lin, Mingbao Lin, Meng Zhao, Rongrong Ji |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Resilient Binary Neural Network. | Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu |
| 2023 | CVPR | Discriminator-Cooperated Feature Map Distillation for GAN Compression. | Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji |
| 2023 | CVPR | Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. | Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu L, Baochang Zhang |
| 2023 | ICCV | SMMix: Self-Motivated Image Mixing for Vision Transformers. | Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji |
| 2023 | ICCV | 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 |
| 2023 | ICCV | Representation Disparity-aware Distillation for 3D Object Detection. | Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao |
| 2023 | ICLR | Real-Time Image Demoiring on Mobile Devices. | Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji |
| 2023 | ICML | Bi-directional Masks for Efficient N: M Sparse Training. | Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji |
| 2022 | CVPR | 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 |
| 2022 | ECCV | ARM: Any-Time Super-Resolution Method. | Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji |
| 2022 | ECCV | Knowledge Condensation Distillation. | Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2021 | ICCV | 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 |
| 2020 | CVPR | HRank: Filter Pruning Using High-Rank Feature Map. | Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao |
| 2020 | IJCAI | Channel Pruning via Automatic Structure Search. | Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian |
| 2019 | AAAI | Towards Optimal Discrete Online Hashing with Balanced Similarity. | Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu |
| 2017 | ICIG | Sensitive Information Detection on Cyber-Space. | Mingbao Lin, Xianming Lin, Yunhang Shen, Rongrong Ji |