Implicit Semantic Data Augmentation for Deep Networks. - Yulin Wang 002; Xuran Pan; Shiji Song; Hong Zhang 009; Gao Huang 001; Cheng Wu (NeurIPS, 2019)

Logistics-aware manufacturing service collaboration optimisation towards industrial internet platform. - Yulin Wang 002; Yongping Zhang; Fei Tao 001; Tingyu Chen; Ying Cheng 001; Shunkun Yang (Int. J. Prod. Res., 2019)

Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification. - Yulin Wang 002; Kangchen Lv; Rui Huang; Shiji Song; Le Yang 007; Gao Huang 001 (NeurIPS, 2020)

Meta-Semi: A Meta-learning Approach for Semi-supervised Learning. - Yulin Wang 002; Jiayi Guo; Shiji Song; Gao Huang 001 (CoRR, 2020)

Collaborative learning with corrupted labels. - Yulin Wang 002; Rui Huang; Gao Huang 001; Shiji Song; Cheng Wu (Neural Networks, 2020)

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition. - Shuang Li 008; Kaixiong Gong; Chi Harold Liu; Yulin Wang 002; Feng Qiao; Xinjing Cheng (CVPR, 2021)

Transferable Semantic Augmentation for Domain Adaptation. - Shuang Li 008; Mixue Xie; Kaixiong Gong; Chi Harold Liu; Yulin Wang 002; Wei Li 111 (CVPR, 2021)

CondenseNet V2: Sparse Feature Reactivation for Deep Networks. - Le Yang 007; Haojun Jiang; Ruojin Cai; Yulin Wang 002; Shiji Song; Gao Huang 001; Qi Tian 001 (CVPR, 2021)

Adaptive Focus for Efficient Video Recognition. - Yulin Wang 002; Zhaoxi Chen 007; Haojun Jiang; Shiji Song; Yizeng Han; Gao Huang 001 (ICCV, 2021)

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. - Yulin Wang 002; Zanlin Ni; Shiji Song; Le Yang 007; Gao Huang 001 (ICLR, 2021)

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition. - Yulin Wang 002; Rui Huang; Shiji Song; Zeyi Huang; Gao Huang 001 (NeurIPS, 2021)

Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length. - Yulin Wang 002; Rui Huang; Shiji Song; Zeyi Huang; Gao Huang 001 (CoRR, 2021)

Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation. - Wenxuan Ma 001; Jinming Zhang; Shuang Li 008; Chi Harold Liu; Yulin Wang 002; Wei Li 111 (CoRR, 2021)

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. - Yulin Wang 002; Yang Yue; Yuanze Lin; Haojun Jiang; Zihang Lai; Victor Kulikov; Nikita Orlov; Humphrey Shi; Gao Huang 001 (CVPR, 2022)

AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition. - Yulin Wang 002; Yang Yue; Xinhong Xu; Ali Hassani 001; Victor Kulikov; Nikita Orlov; Shiji Song; Humphrey Shi; Gao Huang 001 (ECCV (4), 2022)

Making The Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation. - Wenxuan Ma 001; Jinming Zhang; Shuang Li 008; Chi Harold Liu; Yulin Wang 002; Wei Li 111 (ACM Multimedia, 2022)

Deep Model Assembling. - Zanlin Ni; Yulin Wang 002; Jiangwei Yu; Haojun Jiang; Yue Cao 001; Gao Huang 001 (CoRR, 2022)

Dynamic Neural Networks: A Survey. - Yizeng Han; Gao Huang 001; Shiji Song; Le Yang 007; Honghui Wang; Yulin Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Regularizing Deep Networks With Semantic Data Augmentation. - Yulin Wang 002; Gao Huang 001; Shiji Song; Xuran Pan; Yitong Xia; Cheng Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm. - Wenxuan Ma 001; Shuang Li 008; Jinming Zhang; Chi Harold Liu; Jingxuan Kang; Yulin Wang 002; Gao Huang 001 (ICCV, 2023)

Dynamic Perceiver for Efficient Visual Recognition. - Yizeng Han; Dongchen Han; Zeyu Liu; Yulin Wang 002; Xuran Pan; Yifan Pu; Chao Deng 004; Junlan Feng; Shiji Song; Gao Huang 001 (ICCV, 2023)

Deep Incubation: Training Large Models by Divide-and-Conquering. - Zanlin Ni; Yulin Wang 002; Jiangwei Yu; Haojun Jiang; Yue Cao 001; Gao Huang 001 (ICCV, 2023)

Adaptive Rotated Convolution for Rotated Object Detection. - Yifan Pu; Yiru Wang; Zhuofan Xia; Yizeng Han; Yulin Wang 002; Weihao Gan; Zidong Wang 011; Shiji Song; Gao Huang 001 (ICCV, 2023)

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. - Yulin Wang 002; Yang Yue; Rui Lu; Tianjiao Liu; Zhao Zhong; Shiji Song; Gao Huang 001 (ICCV, 2023)

Computation-efficient Deep Learning for Computer Vision: A Survey. - Yulin Wang 002; Yizeng Han; Chaofei Wang; Shiji Song; Qi Tian 001; Gao Huang 001 (CoRR, 2023)

Glance and Focus Networks for Dynamic Visual Recognition. - Gao Huang 001; Yulin Wang 002; Kangchen Lv; Haojun Jiang; Wenhui Huang; Pengfei Qi; Shiji Song (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Shiji Song; Yuan Yao 013; Gao Huang 001 (CVPR, 2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 013; Gao Huang 001 (ECCV (16), 2024)

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection. - Ziwei Zheng; Zechuan Zhang; Yulin Wang 002; Shiji Song; Gao Huang 001; Le Yang 007 (ACM Multimedia, 2024)

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Yizeng Han; Jiayi Guo; Zhiyuan Liu 001; Yuan Yao 013; Gao Huang 001 (NeurIPS, 2024)

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution. - Yang Yue; Yulin Wang 002; Bingyi Kang; Yizeng Han; Shenzhi Wang; Shiji Song; Jiashi Feng; Gao Huang 001 (NeurIPS, 2024)

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Shiji Song; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation. - Chaoqun Du; Yulin Wang 002; Jiayi Guo; Yizeng Han; Jie Zhou 001; Gao Huang 001 (CoRR, 2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Yizeng Han; Jiayi Guo; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

Fine-Grained Recognition With Learnable Semantic Data Augmentation. - Yifan Pu; Yizeng Han; Yulin Wang 002; Junlan Feng; Chao Deng 004; Gao Huang 001 (IEEE Trans. Image Process., 2024)

Dynamic Spatial Focus for Efficient Compressed Video Action Recognition. - Ziwei Zheng; Le Yang 007; Yulin Wang 002; Miao Zhang; Lijun He 001; Gao Huang 001; Fan Li 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint. - Mixue Xie; Shuang Li 008; Kaixiong Gong; Yulin Wang 002; Gao Huang 001 (Int. J. Comput. Vis., 2024)

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition. - Chaoqun Du; Yulin Wang 002; Shiji Song; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. - Yulin Wang 002; Yang Yue; Rui Lu; Yizeng Han; Shiji Song; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? - Fengxiang Wang 004; Hongzhen Wang; Zonghao Guo; Di Wang 023; Yulin Wang 002; Mingshuo Chen; Qiang Ma; Long Lan; Wenjing Yang 002; Jing Zhang 037; Zhiyuan Liu 001; Maosong Sun 001 (CVPR, 2025)

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. - Jiayi Guo; Junhao Zhao; Chaoqun Du; Yulin Wang 002; Chunjiang Ge; Zanlin Ni; Shiji Song; Humphrey Shi; Gao Huang 001 (CVPR, 2025)

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance. - Yang Yue; Yulin Wang 002; Haojun Jiang; Pan Liu; Shiji Song; Gao Huang 001 (CVPR, 2025)

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. - Yang Yue; Yulin Wang 002; Chenxin Tao; Pan Liu; Shiji Song; Gao Huang 001 (CVPR, 2025)

RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing. - Fengxiang Wang 004; Hongzhen Wang; Yulin Wang 002; Di Wang 023; Mingshuo Chen; Haiyan Zhao; Yangang Sun; Shuo Wang; Long Lan; Wenjing Yang 002; Jing Zhang 037 (CoRR, 2025)

Uni-AdaFocus: Spatial-Temporal Dynamic Computation for Video Recognition. - Yulin Wang 002; Haoji Zhang 001; Yang Yue; Shiji Song; Chao Deng 004; Junlan Feng; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution. - Fengxiang Wang 004; Mingshuo Chen; Yueying Li; Di Wang 023; Haotian Wang 001; Zonghao Guo; Zefan Wang; Boqi Shan; Long Lan; Yulin Wang 002; Hongzhen Wang; Wenjing Yang 002; et al. (CoRR, 2025)

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation. - Yulin Wang 002; Zanlin Ni; Yifan Pu; Cai Zhou; Jixuan Ying; Shiji Song; Gao Huang 001 (Int. J. Comput. Vis., 2025)

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition. - Chaoqun Du; Yulin Wang 002; Shiji Song; Gao Huang 001 (CoRR, 2025)