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
IEEE Trans. Pattern Anal. Mach. Intell., September, 2025
CoRR, September, 2025
Adaptive Resource Scheduling and Management Optimization in Digital Education With Compute First Networking.
IEEE Trans. Consumer Electron., August, 2025
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
Proceedings of the International Conference on Visual Communications and Image Processing, 2025
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
Proceedings of the Twelfth International Conference on Learning Representations, 2024
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
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