About Me
I am Mingbao Lin, a Research Scientist at Skywork AI in Singapore. Previously, I worked at Tencent in Shanghai as a Senior Researcher for over two years. Before that, I interned as an Algorithm Intern at Peng Cheng Laboratory in Shenzhen for more than two years. I earned my PhD in Intelligent Science and Technology from Xiamen University, and these experiences have laid a solid foundation for my research and practice in the field of artificial intelligence.
I have always been passionate about technological research and am eager to continuously learn and explore cutting-edge advancements. On one hand, I actively collaborate with professors and students from various universities, co-authoring academic papers and pushing the boundaries of technology through intellectual exchange. On the other hand, I reinforce the concept of technology implementation in industry, striving to transform research findings into real-world products and drive technological applications and development in the industry.
In my spare time, I enjoy long-distance running and have completed six full marathons. I believe that running a marathon requires patience and perseverance, qualities that also benefit my work. I am someone who enjoys trying new things and exploring various possibilities. This adventurous spirit enables me to tackle challenges with creativity and makes my life more diverse and fulfilling.
Research Interests
Publications
Selected Preprint
| Title | Authors | Published In |
|---|---|---|
| Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models | Zhifei Xie*, Mingbao Lin*, Zihang Liu*, Pengcheng Wu, Shuicheng Yan✉, Chunyan Miao✉ | arXiv preprint arXiv:2503.02318, 2025 |
| Seeing World Dynamics in a Nutshell | Qiuhong Shen*, Xuanyu Yi*, Mingbao Lin, Hanwang Zhang, Shuicheng Yan, Xinchao Wang✉ | arXiv preprint arXiv:2502.03465, 2025 |
| Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration | Hai Ye, Mingbao Lin✉, Hwee Tou Ng, Shuicheng Yan | arXiv preprint arXiv:2412.17061, 2024 |
2025
| Title | Authors | Published In |
|---|---|---|
| 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✉ | International Conference on Learning Representations (ICLR) |
| Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing | Pengfei Jiang, Mingbao Lin, Fei Chao✉ | Association for the Advancement of Artificial Intelligence (AAAI) |
| Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference | Zhihang Lin, Mingbao Lin, Luxi Lin, Rongrong Ji✉ | Association for the Advancement of Artificial Intelligence (AAAI) |
| Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks | Yunshan Zhong, Mingbao Lin, Jingjing Xie, Yuxin Zhang, Fei Chao, Rongrong Ji✉ | Science China Information Sciences (SCIS) |
| Low-Rank Winograd Transformation for 3D Convolutional Neural Networks | Ziran Qin, Mingbao Lin, Huabin Liu, John See, Zou Gui, Weiyao Lin✉ | Science China Information Sciences (SCIS) |
2024
| Title | Authors | Published In |
|---|---|---|
| Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement | Sheng Xu*, Mingze Wang*, Yanjing Li*, Mingbao Lin, Baochang Zhang✉, David Doermann, Xiao Sun | International Conference on Machine Learning (ICML) |
| Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation | Jingjing Xie, Yuxin Zhang, Mingbao Lin, Liujuan Cao✉, Rongrong Ji | ACM International Conference on Multimedia (MM) |
| AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource | Wengyi Zhan, Mingbao Lin, Chia-Wen Lin, Rongrong Ji✉ | IEEE Transactions on Image Processing (TIP) |
| 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✉ | Findings of Empirical Methods in Natural Language Processing (EMNLP Findings) |
| AccDiffusion: An Accurate Method for Higher-Resolution Image Generation | Zhihang Lin, Mingbao Lin, Meng Zhao, Rongrong Ji✉ | European Conference on Computer Vision (ECCV) |
| UniPTS: A Unified Framework for Proficient Post-Training Sparsity | Jingjing Xie, Yuxin Zhang, Mingbao Lin, Zhihang Lin, Liujuan Cao✉, Rongrong Ji | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| 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✉ | International Conference on Learning Representations (ICLR) |
| Shadow-Aware Dynamic Convolution for Shadow Removal | Yimin Xu, Mingbao Lin, Hong Yang, Fei Chao, Rongrong Ji✉ | Pattern Recognition (PR) |
| Bi-ViT: Pushing the Limit of Vision Transformer Quantization | Yanjing Li*, Sheng Xu*, Mingbao Lin, Xianbin Cao✉, Chuanjian Liu, Xiao Sun✉, Baochang Zhang | Association for the Advancement of Artificial Intelligence (AAAI) |
2023
| Title | Authors | Published In |
|---|---|---|
| Representation Disparity-aware Distillation for 3D Object Detection | Yanjing Li*, Sheng Xu*, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao✉ | International Conference on Computer Vision (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 | International Conference on Computer Vision (ICCV) |
| SMMix: Self-Motivated Image Mixing for Vision Transformers | Mengzhao Chen, Mingbao Lin, ZhiHang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji✉ | International Conference on Computer Vision (ICCV) |
| Binary Neural Networks: Algorithms, Architectures, and Applications | Baochang Zhang✉, Sheng Xu, Mingbao Lin, Tiancheng Wang, David Doermann | CRC Press |
| Super Vision Transformer | Mingbao Lin*, Mengzhao Chen*, Yuxin Zhang, Chunhua Shen, Rongrong Ji, Liujuan Cao✉ | International Journal of Computer Vision (IJCV) |
| Discriminator-Cooperated Feature Map Distillation for GAN Compression | Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji✉ | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| Q-DETR: An Efficient Low-Bit Quantized Detection Transformer | Sheng Xu*, Yanjing Li*, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang✉ | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| Lottery Jackpots Exist in Pre-trained Models | Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji✉ | IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
| Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion | Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji✉ | IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
| Prioritized Subnet Sampling for Resource-Adaptive Supernet Training | Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao✉ | IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
| Resilient Binary Neural Network | Sheng Xu*, Yanjing Li*, Teli Ma*, Mingbao Lin, Hao Dong, Baochang Zhang✉, Peng Gao, Jinhu Lü | Association for the Advancement of Artificial Intelligence (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✉ | Association for the Advancement of Artificial Intelligence (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✉ | Association for the Advancement of Artificial Intelligence (AAAI) |
| Bi-directional Masks for Efficient N: M Sparse Training | Yuxin Zhang*, Yiting Luo*, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji✉ | International Conference on Machine Learning (ICML) |
| Real-Time Image Demoireing on Mobile Devices | Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji✉ | International Conference on Learning Representations (ICLR) |
2022
| Title | Authors | Published In |
|---|---|---|
| SiMaN: Sign-to-Magnitude Network Binarization | Mingbao Lin, Rongrong Ji✉, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao | IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
| 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
| Dynamic Support Network for Few-shot Class Incremental Learning | Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye✉ | IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
| Learning Best Combination for Efficient N: M Sparsity | Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji✉ | Advances in Neural Information Processing Systems (NeurIPS) |
| Knowledge Condensation Distillation | Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang✉, Xinhao Ding, Liujuan Cao | European Conference on Computer Vision (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 | European Conference on Computer Vision (ECCV) |
| ARM: Any-Time Super-Resolution Method | Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao✉, Rongrong Ji | European Conference on Computer Vision (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✉ | European Conference on Computer Vision (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✉ | European Conference on Computer Vision (ECCV) |
| 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 Transactions on Neural Networks and Learning System (TNNLS) |
| Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters | Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji✉ | IEEE Transactions on Neural Networks and Learning System (TNNLS) |
| 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 Transactions on Multimedia (TMM) |
| 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✉ | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| Distilling a Powerful Student Model via Online Knowledge Distillation | Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji✉ | IEEE Transactions on Neural Networks and Learning System (TNNLS) |
2021
| Title | Authors | Published In |
|---|---|---|
| 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✉ | International Conference on Computer Vision (ICCV) |
| Filter Sketch for Network Pruning | Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji✉ | IEEE Transactions on Neural Networks and Learning Systems (TNNLS) |
| Network Pruning Using Adaptive Exemplar Filters | Mingbao Lin, Rongrong Ji✉, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye | IEEE Transactions on Neural Networks and Learning System (TNNLS) |
2020
| Title | Authors | Published In |
|---|---|---|
| HRank: Filter Pruning using High-Rank Feature Map | Mingbao Lin, Rongrong Ji✉, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| Fast Class-wise Updating for Online Hashing | Mingbao Lin, Rongrong Ji✉, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao | IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) |
| Rotated Binary Neural Network | Mingbao Lin, Rongrong Ji✉, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin | Advances in Neural Information Processing Systems (NeurIPS) |
| Similarity-Preserving Linkage Hashing for Online Image Retrieval | Mingbao Lin, Rongrong Ji✉, Shen Chen, Xiaoshuai Sun, Chia-Wen Lin | IEEE Transactions on Image Processing (TIP) |
| Channel Pruning via Automatic Structure Search | Mingbao Lin, Rongrong Ji✉, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian | International Joint Conference on Artificial Intelligence (IJCAI) |
| Hadamard Matrix Guided Online Hashing | Mingbao Lin, Rongrong Ji✉, Hong Liu, Xiaoshuai Sun, Shen Chen, Qi Tian | International Journal of Computer Vision (IJCV) |
2019
| Title | Authors | Published In |
|---|---|---|
| Towards Optimal Discrete Online Hashing with Balanced Similarity | Mingbao Lin, Rongrong Ji✉, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu | Association for the Advancement of Artificial Intelligence (AAAI) |
2018
| Title | Authors | Published In |
|---|---|---|
| Supervised Online Hashing via Hadamard Codebook Learning | Mingbao Lin, Rongrong Ji✉, Hong Liu, Yongjian Wu | ACM International Conference on Multimedia (MM) |
| Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval | Hong Liu*, Mingbao Lin*, Shengchuan Zhang, Yongjian Wu, Feiyue Huang, Rongrong Ji✉ | ACM International Conference on Multimedia (MM) |