Yaoming Wang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Vision-Language Efficient Tuning for Mitigating Catastrophic Forgetting in Multi-Modal Learning.
Int. J. Comput. Vis., April, 2026

Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers.
CoRR, January, 2026

2025
Contrastive Learning via Variational Information Bottleneck.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation.
CoRR, September, 2025

Adaptive Resource Scheduling and Management Optimization in Digital Education With Compute First Networking.
IEEE Trans. Consumer Electron., August, 2025

MENSA: Multi-Dataset Harmonized Pretraining for Semantic Segmentation.
IEEE Trans. Multim., 2025

Multiarray Data Joint Super-Resolution Inversion for Electrical Resistivity Tomography.
IEEE Trans. Geosci. Remote. Sens., 2025

Time to Frequency Domain Conversion for Transient Electromagnetic Data With Neural Networks.
IEEE Access, 2025

Parameter-Efficient Cross-Layer Feature Fusion via Chebyshev Polynomial Unit.
Proceedings of the International Conference on Visual Communications and Image Processing, 2025

Noise Conditional Variational Score Distillation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

GLEAM: Parameter-Efficient Transfer Learning via Global Share Local Transform Mixture-of-Experts.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Joint computation offloading and resource allocation for end-edge collaboration in internet of vehicles via multi-agent reinforcement learning.
Neural Networks, 2024

Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck.
CoRR, 2024

Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation.
CoRR, 2024

Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

UMG-CLIP: A Unified Multi-granularity Vision Generalist for Open-World Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
AiluRus: A Scalable ViT Framework for Dense Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Unsupervised Domain Generalization for Face Anti-Spoofing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Integrating Appearance and Spatial-Temporal Information for Multi-Camera People Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Efficient Search for Efficient Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Contrastive Regression for Domain Adaptation on Gaze Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020


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