Mengke Li

Orcid: 0000-0002-9433-9683

Affiliations:
  • Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China
  • Hong Kong Baptist University, Kowloon, Hong Kong (former, PhD 2022)


According to our database1, Mengke Li authored at least 53 papers between 2019 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
Decision Boundary-aware Generation for Long-tailed Learning.
CoRR, May, 2026

CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning.
CoRR, May, 2026

Transitive Vision-Language Prompt Learning for Domain Generalization.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning.
CoRR, April, 2026

One-Shot Hierarchical Federated Clustering.
CoRR, January, 2026

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Improve Knowledge Distillation via Label Revision and Data Selection.
IEEE Trans. Cogn. Dev. Syst., December, 2025

MOOD: Leveraging Out-of-Distribution Data to Enhance Imbalanced Semi-Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis.
CoRR, September, 2025

Discrete Elective Hashing with Incomplete Labels for Efficient Cross-Modal Retrieval.
ACM Trans. Multim. Comput. Commun. Appl., June, 2025

Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion.
CoRR, June, 2025

Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning.
CoRR, March, 2025

Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning.
CoRR, March, 2025

Categorical Data Clustering via Value Order Estimated Distance Metric Learning.
Proc. ACM Manag. Data, 2025

ESCOR: Emotion-Aware Semantic Constraint and Correlation Refinement for Image Emotion Distribution Learning.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Weighted Density for The Win: Accurate Subspace Density Clustering.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Asynchronous Federated Clustering with Unknown Number of Clusters.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition.
IEEE Trans. Artif. Intell., October, 2024

Joint Semantic Preserving Sparse Hashing for Cross-Modal Retrieval.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Audio splicing detection and localization using multistage filterbank spectral sketches and decision fusion.
Multim. Syst., April, 2024

Compact Neural Network via Stacking Hybrid Units.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Attributed Graph Clustering via Generalized Quaternion Representation Learning.
CoRR, 2024

Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning.
CoRR, 2024

Transitive Vision-Language Prompt Learning for Domain Generalization.
CoRR, 2024

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values.
Proceedings of the International Joint Conference on Neural Networks, 2024

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long-Tailed Recognition Based on Self-attention Mechanism.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Key Points Centered Sparse Hashing for Cross-Modal Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Order Forest for Qualitative-Attribute Data Clustering.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
YOLOv5s-Cherry: Cherry Target Detection in Dense Scenes Based on Improved YOLOv5s Algorithm.
J. Circuits Syst. Comput., August, 2023

Evolutionary multi-objective optimization for RIS-aided MU-MISO communication systems.
Soft Comput., June, 2023

Robust audio copy-move forgery detection on short forged slices using sliding window.
J. Inf. Secur. Appl., June, 2023

Identity-Preserved Complete Face Recovering Network for Partial Face Image.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Key Point Sensitive Loss for Long-Tailed Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Robust Audio Copy-Move Forgery Detection Using Constant Q Spectral Sketches and GA-SVM.
IEEE Trans. Dependable Secur. Comput., 2023

Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition.
CoRR, 2023

DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Few-Shot Lip-Password Based Speaker Verification.
Proceedings of the IEEE International Conference on Image Processing, 2023

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Fitness landscape analysis and niching genetic approach for hybrid beamforming in RIS-aided communications.
Appl. Soft Comput., 2022

Feature-Balanced Loss for Long-Tailed Visual Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person.
IEEE Trans. Neural Networks Learn. Syst., 2021

Facial Structure Guided GAN for Identity-preserved Face Image De-occlusion.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020
Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019
SAR Image Change Detection Using PCANet Guided by Saliency Detection.
IEEE Geosci. Remote. Sens. Lett., 2019


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