Ming

Ming

Ph.D. graduated from NUS, interested in AIGC and MLLMs

Publications

FigureUniF^2ace: Fine-grained Face Understanding and Generation with Unified Multimodal Models
Junzhe Li, Xuerui Qiu, Linrui Xu, Liya Guo, Delin Qu, Tingting Long, Chun Fan and Ming Li*. Under Review. 2025. (*Corresponding Authors)
[Paper][Project]

FigureFaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models
Fufangchen Zhao, Ming Li*†, Linrui Xu, Wenhao Jiang, Jian Gao and Danfeng Yan. Under Review. 2025. (*Corresponding Authors, †Equal Contributors)
[Paper][Project]

FigurePVChat: Personalized Video Chat with One-Shot Learning
Yufei Shi†, Weilong Yan†, Gang Xu, Yumeng Li, Yucheng Chen, Zhenxi Li, Fei Richard Yu, Ming Li* and Si Yong Yeo. Under Review. 2025. (*Corresponding Authors, †Equal Contributors)
[Paper][Project]

FigureSafe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking
Ziyi Wang, Songbai Tan, Gang Xu, Xuerui Qiu, Hongbin Xu, Xin Meng, Ming Li* and Fei Richard Yu. Under Review. 2025. (*Corresponding Authors)
[Paper][Project]

FigureX-SGS: Safe and Generalizable Gaussian Splatting with X-dimensional Watermarks
Zihang Cheng, Huiping Zhuang, Chun Li, Xin Meng, Ming Li* and Fei Richard Yu. Under Review. 2025. (*Corresponding Authors)
[Paper][Project]

FigureInter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction
Gan Chen, Ying He, Mulin Yu, F.Richard Yu, Gang Xu, Fei Ma, Ming Li* and Guang Zhou. Under Review. 2025. (*Corresponding Authors)
[Paper][Project]

FigureWMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
Songbai Tan, Yao Shu, Xuerui Qiu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li* and Fei Richard Yu. Under Review. 2025. (*Corresponding Authors)
[Paper][Project]

FigureEFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices
Meihan Wu, Tao Chang, Miaocui, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li*, and Xiaodong Wang. Under Review. 2024. (*Corresponding Authors)
[Paper][Project]

FigureGaussian Splatting Stylization with Customized Reference via Dynamic Style Score Distillation
Cailin Zhuang, Yaoqi Hu, Jiacheng Bao, Song Tong, Tao He, Chun Li, Lan Xu, and Ming Li*. Under Review. 2024. (*Corresponding Authors)
[Paper][Project]

Figure SE-MOT: End-to-End Multi-Object Tracking in Low-Quality Video Scenes Guided by Semantic Enhancement
Jun Du , Weiwei Xing, Ming Li*, and Fei Richard Yu. Under Review. 2024. (*Corresponding Authors)
[Paper][Project]

Figure Resilient Missing-Modality MRI Segmentation Based on Mamba State-Space Modeling and Information-Theoretic Criteria
Runze Cheng, Xihang Qiu, Jiarong Cheng, Xiangyu Xue, Ye Zhang, Chun Li, Ming Li*, and Fei Richard Yu. Under Review. 2024. (*Corresponding Authors)
[Paper][Project]

Figure Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using H¨older Divergence and Mutual Information-Enhanced Knowledge Transfer
Runze Cheng†, Xihang Qiu†, Ming Li†, Ye Zhang, Fei Richard Yu, and Chun Li. Under Review. 2024. (†Equal Contributors)
[Paper][Project]

Figure Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures
Zhipeng Xue†, Yan Zhang†, Ming Li†, Chun Li, Yue Liu, and Fei Richard Yu. Under Review. 2024. (†Equal Contributors)
[Paper][Project]

Figure ColonNeRF: Neural Radiance Fields for High-Fidelity Long-Sequence Colonoscopy Reconstruction
Yufei Shi, Beijia Lu, Jia-Wei Liu, Ming Li and Mike Zheng Shou. arXiv. 2023.
[Paper][Project]

FigureEventGPT: Event Stream Understanding with Multimodal Large Language Models
Shaoyu liu, Jianing Li, Guanghui Zhao, Yunjian Zhang, Xin Meng, Fei Richard Yu, Xiangyang Ji, and Ming Li*. CVPR. 2025. (*Corresponding Authors)
[Paper][Project]

FigureSynthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors
Weilong Yan, Ming Li*, Haipeng Li, Shuwei Shao, Robby T. Tan. CVPR. 2025. (*Corresponding Authors)
[Paper][Project]

Figure Uncertainty Quantification via Holder Divergence for Multi-View Representation Learning
Yan Zhang†, Ming Li†, Chun Li, Zhaoxia Liu, Ye Zhang, and Fei Richard Yu. IEEE TMM. 2025. (†Equal Contributors)
[Paper][Project]

Figure DEP-SLAM: A Dynamic Environment Perception SLAM System with Large Language Models
Ying He, F. Richard Yu, Fei Ma, Ming Li, and Guang Zhou. ICASSP. 2025.
[Paper][Project]

Figure Corer: Concept Residue Erasing in Text-to-Image Diffusion Models
Yufan Liu, Jinyang An, Wanqian Zhang, Ming Li*, Dayan Wu, Jingzi Gu, Zheng Lin and Weiping Wang. ICME. 2025. (*Corresponding Authors)
[Paper][Project]

Figure LV-VTON: Long-Video Virtual Try-On via Enhanced Visual Autoregressive Modeling
Lulu Tian, Hongxun Yao and Ming Li. ICME. 2025.
[Paper][Project]

Figure OmniStyle: Attention-Optimized Global and Local Image Stylization with Diffusion Model Inversion
Jiarong Cheng, Xihang Qiu, Qing Zhou, Ming Li*, Chun Li*, Yao Lu and Fei Richard Yu. ICME. 2025. (*Corresponding Authors)
[Paper][Project]

Figure Semi-Supervised Disease Classification based on Limited Medical Image Data
Yan Zhang, Zhaoxia Liu, Chun Li and Ming Li. Journal of Biomedical and Health Informatics. 2024.
[Paper][Code]

Figure Instant3D: Instant Text-to-3D Generation
Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan and Xiangyu Xu. International Journal of Computer Vision. 2024.
[Paper][Project]

Figure FakePoI: A Large-scale Fake Person of Interest Video Detection Benchmark and a Strong Baseline
Lulu Tian, Hongxun Yao, and Ming Li. IEEE TCSVT. 2023.
[Paper][Code]

Figure DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition
Ming Li, Huazhu Fu, Shengfeng He, Hehe Fan, Jun Liu, Jussi Keppo and Mike Zheng Shou. IEEE TMM. 2023.
[Paper][Code]

Figure STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition
Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, and Shuicheng Yan. ICCV. 2023.
[Paper][Code]

Figure Exploiting Multi-view Part-wise Correlation via an Efficient Transformer for Vehicle Re-Identification
Ming Li, Jun Liu, Ce Zheng, Xinming Huang, and Ziming Zhang. IEEE TMM. 2021 (ESI Highly Cited Paper).
[Paper]

Figure Self-supervised Geometric Features Discovery with Interpretable Attention for Vehicle Re-Identification and Beyond
Ming Li, Xinming Huang, and Ziming Zhang. ICCV. 2021.
[Paper][Code]

Figure TreeRNN: Topology-Preserving Deep Graph Embedding and Learning
Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, and Ziming Zhang. ICPR. 2020.
[Paper][Code]

Figure RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm
Yun Yue, Ming Li, Venkatesh Saligramay, Ziming Zhang. ICPR. 2020.
[Paper][Code]

Figure LodoNet: A Deep Neural Network with 2D Keypoint Matching for 3D LiDAR Odometry Estimation
Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang. ACM MM. 2020.
[Paper]