Ming Li

Orcid: 0000-0002-7852-0159

Affiliations:
  • Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen, China
  • National University of Singapore, Institute of Data Science, Singapore (PhD 2024)
  • Worcester Polytechnic Institute, Worcester, MA, USA (2019 - 2021)
  • University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (2018 - 2019)


According to our database1, Ming Li authored at least 46 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems.
CoRR, May, 2026

Scaling Video Understanding via Compact Latent Multi-Agent Collaboration.
CoRR, May, 2026

Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer.
IEEE CAA J. Autom. Sinica, April, 2026

DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection.
CoRR, April, 2026

4DPC<sup>2</sup>hat: Towards Dynamic Point Cloud Understanding with Failure-Aware Bootstrapping.
CoRR, February, 2026

Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility.
CoRR, February, 2026

Understanding gait recognition through silhouette sequence disentanglement and fine-grained visualization.
Pattern Recognit., 2026

Lifelong scene graph generation.
Pattern Recognit., 2026

Restoring neural radiance fields performance under adverse weather conditions.
Eng. Appl. Artif. Intell., 2026

StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
SciEducator: Scientific Video Understanding and Educating via Deming-Cycle Multi-Agent System.
CoRR, November, 2025

VSE-MOT: Multi-Object Tracking in Low-Quality Video Scenes Guided by Visual Semantic Enhancement.
CoRR, September, 2025

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning.
CoRR, June, 2025

Exploring Federated Pruning for Large Language Models.
CoRR, May, 2025

PVChat: Personalized Video Chat with One-Shot Learning.
CoRR, March, 2025

Safe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking.
CoRR, March, 2025

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning.
CoRR, March, 2025

X-SG<sup>2</sup>S: Safe and Generalizable Gaussian Splatting with X-dimensional Watermarks.
CoRR, February, 2025

Correction: Instant3D: Instant Text-to-3D Generation.
Int. J. Comput. Vis., January, 2025

Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning.
IEEE Trans. Multim., 2025

Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures.
IEEE Trans. Image Process., 2025

ColonNeRF: High-fidelity neural reconstruction of long colonoscopy.
Neurocomputing, 2025

Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

LV-VTON: Long-Video Virtual Try-On via Enhanced Visual Autoregressive Modeling.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

OmniStyle: Attention-Optimized Global and Local Image Stylization with Diffusion Model Inversion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DEP-SLAM: A Dynamic Environment Perception SLAM System with Large Language Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

EventGPT: Event Stream Understanding with Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Instant3D: Instant Text-to-3D Generation.
Int. J. Comput. Vis., October, 2024

Semi-Supervised Disease Classification Based on Limited Medical Image Data.
IEEE J. Biomed. Health Informatics, March, 2024

DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition.
IEEE Trans. Multim., 2024

EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices.
CoRR, 2024

Uncertainty Quantification via Hölder Divergence for Multi-View Representation Learning.
CoRR, 2024

2023
FakePoI: A Large-Scale Fake Person of Interest Video Detection Benchmark and a Strong Baseline.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Exploiting Multi-View Part-Wise Correlation via an Efficient Transformer for Vehicle Re-Identification.
IEEE Trans. Multim., 2023

ColonNeRF: Neural Radiance Fields for High-Fidelity Long-Sequence Colonoscopy Reconstruction.
CoRR, 2023

Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version).
CoRR, 2023

STPrivacy: Spatio-Temporal Tubelet Sparsification and Anonymization for Privacy-preserving Action Recognition.
CoRR, 2023

STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning.
CoRR, 2020

TreeRNN: Topology-Preserving Deep Graph Embedding and Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


  Loading...