Yulin Wang

According to our database, Yulin Wang authored at least 49 papers between 2019 and 2025.

Collaborative distances:

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

2025

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition.

Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang

CoRR, June, 2025

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation.

Yulin Wang, Zanlin Ni, Yifan Pu, Cai Zhou, Jixuan Ying, Shiji Song, Gao Huang

Int. J. Comput. Vis., May, 2025

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution.

Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Boqi Shan, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang

CoRR, May, 2025

Uni-AdaFocus: Spatial-Temporal Dynamic Computation for Video Recognition.

Yulin Wang, Haoji Zhang, Yang Yue, Shiji Song, Chao Deng, Junlan Feng, Gao Huang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing.

Fengxiang Wang, Hongzhen Wang, Yulin Wang, Di Wang, Mingshuo Chen, Haiyan Zhao, Yangang Sun, Shuo Wang, Long Lan, Wenjing Yang, Jing Zhang

CoRR, March, 2025

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning.

Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance.

Yang Yue, Yulin Wang, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.

Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?

Fengxiang Wang, Hongzhen Wang, Zonghao Guo, Di Wang, Yulin Wang, Mingshuo Chen, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training.

Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition.

Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint.

Mixue Xie, Shuang Li, Kaixiong Gong, Yulin Wang, Gao Huang

Int. J. Comput. Vis., April, 2024

Dynamic Spatial Focus for Efficient Compressed Video Action Recognition.

Ziwei Zheng, Le Yang, Yulin Wang, Miao Zhang, Lijun He, Gao Huang, Fan Li

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Fine-Grained Recognition With Learnable Semantic Data Augmentation.

Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang

IEEE Trans. Image Process., 2024

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

CoRR, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

CoRR, 2024

UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation.

Chaoqun Du, Yulin Wang, Jiayi Guo, Yizeng Han, Jie Zhou, Gao Huang

CoRR, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

CoRR, 2024

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution.

Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection.

Ziwei Zheng, Zechuan Zhang, Yulin Wang, Shiji Song, Gao Huang, Le Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.

Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.

Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Glance and Focus Networks for Dynamic Visual Recognition.

Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Computation-efficient Deep Learning for Computer Vision: A Survey.

Yulin Wang, Yizeng Han, Chaofei Wang, Shiji Song, Qi Tian, Gao Huang

CoRR, 2023

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones.

Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang

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

Adaptive Rotated Convolution for Rotated Object Detection.

Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang

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

Deep Incubation: Training Large Models by Divide-and-Conquering.

Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

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

Dynamic Perceiver for Efficient Visual Recognition.

Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang

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

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm.

Wenxuan Ma, Shuang Li, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang

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

2022

Regularizing Deep Networks With Semantic Data Augmentation.

Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dynamic Neural Networks: A Survey.

Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Model Assembling.

Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

CoRR, 2022

Making The Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation.

Wenxuan Ma, Jinming Zhang, Shuang Li, Chi Harold Liu, Yulin Wang, Wei Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition.

Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition.

Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation.

Wenxuan Ma, Jinming Zhang, Shuang Li, Chi Harold Liu, Yulin Wang, Wei Li

CoRR, 2021

Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length.

Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang

CoRR, 2021

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition.

Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.

Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang

Proceedings of the 9th International Conference on Learning Representations, 2021

Adaptive Focus for Efficient Video Recognition.

Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CondenseNet V2: Sparse Feature Reactivation for Deep Networks.

Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transferable Semantic Augmentation for Domain Adaptation.

Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition.

Shuang Li, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Collaborative learning with corrupted labels.

Yulin Wang, Rui Huang, Gao Huang, Shiji Song, Cheng Wu

Neural Networks, 2020

Meta-Semi: A Meta-learning Approach for Semi-supervised Learning.

Yulin Wang, Jiayi Guo, Shiji Song, Gao Huang

CoRR, 2020

Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification.

Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Logistics-aware manufacturing service collaboration optimisation towards industrial internet platform.

Yulin Wang, Yongping Zhang, Fei Tao, Tingyu Chen, Ying Cheng, Shunkun Yang

Int. J. Prod. Res., 2019

Implicit Semantic Data Augmentation for Deep Networks.

Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019