Yaoming Wang

According to our database, Yaoming Wang authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Cong Wang, Yaoming Wang, Ying Yuan, Sancheng Peng, Guorui Li, Pengfei Yin

Neural Networks, 2024

Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck.

Yangzhou Jiang, Yinxin Lin, Yaoming Wang, Teng Li, Bilian Ke, Bingbing Ni

CoRR, 2024

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

Zelin Peng, Zhengqin Xu, Zhilin Zeng, Yaoming Wang, Lingxi Xie, Qi Tian, Wei Shen

CoRR, 2024

Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation.

Yaoming Wang, Jin Li, Wenrui Dai, Bowen Shi, Xiaopeng Zhang, Chenglin Li, Hongkai Xiong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation.

Yaoming Wang, Jin Li, Xiaopeng Zhang, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners.

Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

UMG-CLIP: A Unified Multi-granularity Vision Generalist for Open-World Understanding.

Bowen Shi, Peisen Zhao, Zichen Wang, Yuhang Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

AiluRus: A Scalable ViT Framework for Dense Prediction.

Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian

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.

Yaoming Wang, Yuchen Liu, Xiaopeng Zhang, Jin Li, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning.

Jin Li, Yaoming Wang, Xiaopeng Zhang, Yabo Chen, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Unsupervised Domain Generalization for Face Anti-Spoofing.

Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis.

Haoran Lv, Junyi Liu, Henan Wang, Yaoming Wang, Jixiang Luo, Yaxiao Liu

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.

Wenjie Yang, Zhenyu Xie, Yaoming Wang, Yang Zhang, Xiao Ma, Bing Hao

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.

Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian

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.

Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Efficient Search for Efficient Architecture.

Liewen Liao, Yaoming Wang, Hao Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Contrastive Regression for Domain Adaptation on Gaze Estimation.

Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, Hongkai Xiong, Teng Li

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.

Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

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.

Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020