Yawen Cui

Orcid: 0000-0002-9337-687X

According to our database1, Yawen Cui authored at least 49 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HVG-3D: Bridging Real and Simulation Domains for 3D-Conditional Hand-Object Interaction Video Synthesis.
CoRR, April, 2026

Interaction-aware Representation Modeling with Co-occurrence Consistency for Egocentric Hand-Object Parsing.
CoRR, February, 2026

LaSSM: Efficient Semantic-Spatial Query Decoding via Local Aggregation and State Space Models for 3D Instance Segmentation.
CoRR, February, 2026

2025
Rehearsal-Free and Efficient Continual Learning for Cross-Domain Face Anti-Spoofing.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

CAT+: Investigating and Enhancing Audio-Visual Understanding in Large Language Models.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Intelligent Optimization Design of GS-TSV With RDLs for Chiplet-Based Integrated System in IoT.
IEEE Internet Things J., October, 2025

A Two-phase Stochastic Momentum-Based Algorithm for Nonconvex Expectation-Constrained Optimization.
J. Sci. Comput., July, 2025

Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model.
CoRR, March, 2025

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

3DGeoDet: General-Purpose Geometry-Aware Image-Based 3D Object Detection.
IEEE Trans. Multim., 2025

CMoA: Contrastive Mixture of Adapters for Generalized Few-Shot Continual Learning.
IEEE Trans. Multim., 2025

Visual Prompt Flexible-Modal Face Anti-Spoofing.
IEEE Trans. Dependable Secur. Comput., 2025

Foundation model-assisted interpretable vehicle behavior decision making.
Knowl. Based Syst., 2025

Dynamic Analysis and Adaptive Discriminator for Fake News Detection.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Probabilistic Mixture of Hyperbolic Mamba for Few-Shot Class-Incremental Learning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

TRRG: Towards Truthful Radiology Report Generation With Cross-Modal Disease Clue Enhanced Large Language Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

EPE-P: Evidence-based Parameter-efficient Prompting for Multimodal Learning with Missing Modalities.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MAGiC: An LLM-Powered Multi-Agent Framework for Unleashing Visual Creativity.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing.
Int. J. Comput. Vis., November, 2024

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba.
Vis. Intell., 2024

Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry.
IEEE Trans. Multim., 2024

Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning.
CoRR, 2024

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model.
CoRR, 2024

DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News Detection.
CoRR, 2024

Segment Anything for Videos: A Systematic Survey.
CoRR, 2024

FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba.
CoRR, 2024

Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer.
Int. J. Comput. Vis., June, 2023

Few-shot learning for image classification.
PhD thesis, 2023

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation.
IEEE Trans. Multim., 2023

Hyperbolic Face Anti-Spoofing.
CoRR, 2023

A Comprehensive Survey on Segment Anything Model for Vision and Beyond.
CoRR, 2023

Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less.
CoRR, 2023

Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters.
CoRR, 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification.
Pattern Recognit., 2022

Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry.
CoRR, 2022

2021
Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Semi-Supervised Few-Shot Class-Incremental Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semi-Supervised Few-Shot Object Detection with a Teacher-Student Network.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2018
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation.
CoRR, 2018

Deep CNN-based Visual Target Tracking System Relying on Monocular Image Sensing.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A research on metric learning in computer vision and pattern recognition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
End-to-End Visual Target Tracking in Multi-robot Systems Based on Deep Convolutional Neural Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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