Yan, Shuicheng

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Yuan, L., Chen, Y., Wang, T., Yu, W., Shi, Y., Jiang, Z., Tay, F. E., Feng, J., & Yan, S. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,415

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Yuan, L., Chen, Y., Wang, T., Yu, W., Shi, Y., Jiang, Z., Tay, F. E. H., Feng, J., & Yan, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,415

An HOG-LBP human detector with partial occlusion handling

Wang, X., Han, T. X., & Yan, S. (2009) · 2009 IEEE 12th International Conference on Computer Vision

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 1,727

Perceptual Generative Adversarial Networks for Small Object Detection

Li, J., Liang, X., Wei, Y., Xu, T., Feng, J., & Yan, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 953

Simultaneous feature learning and hash coding with deep neural networks

Lai, H., Pan, Y., Liu, Y., & Yan, S. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 884

CNN: Single-label to Multi-label

Wei, Y., Xia, W., Huang, J., Ni, B., Dong, J., Zhao, Y., & Yan, S. (2014) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 784

A survey on deep learning-based fine-grained object classification and semantic segmentation

Zhao, B., Feng, J., Wu, X., & Yan, S. (2017) · International Journal of Automation and Computing

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 339

Rethinking Bottleneck Structure for Efficient Mobile Network Design

Zhou, D., Hou, Q., Chen, Y., Feng, J., & Yan, S. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 292

Human Parsing with Contextualized Convolutional Neural Network

Liang, X., Xu, C., Shen, X., Yang, J., Liu, S., Tang, J., Lin, L., & Yan, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsHuman Pose and Action Recognition

Cited by 245

Scale-Adaptive Convolutions for Scene Parsing

Zhang, R., Tang, S., Zhang, Y., Li, J., & Yan, S. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 195

Disease inference from health-related questions via sparse deep learning

Nie, L., Wang, M., Zhang, L., Yan, S., Zhang, B., & Chua, T.-S. (2015) · IEEE Transactions on Knowledge and Data Engineering

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 195

AdversarialNAS: Adversarial Neural Architecture Search for GANs

Gao, C., Chen, Y., Liu, S., Tan, Z., & Yan, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 111

Masked Diffusion Transformer is a Strong Image Synthesizer

Gao, S., Zhou, P., Cheng, M.-M., & Yan, S. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 91

Towards Unified Object Detection and Semantic Segmentation

Dong, J., Chen, Q., Yan, S., & Yuille, A. (2014) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 70

Event-based media processing and analysis: A survey of the literature

Tzelepis, C., Ma, Z., Mezaris, V., Ionescu, B., Kompatsiaris, I., Boato, G., Sebe, N., & Yan, S. (2016) · Image and Vision Computing

Video Analysis and SummarizationMultimodal Machine Learning Applications

Cited by 49

Perspective-Adaptive Convolutions for Scene Parsing

Zhang, R., Tang, S., Zhang, Y., Li, J., & Yan, S. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 25

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Zhang, G., Fu, M., Wang, K., Wan, F., Yu, M., & Yan, S. (2025) · Advances in Neural Information Processing Systems 38

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 7

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning

Yue, Y., Kang, B., Xu, Z., Huang, G., & Yan, S. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 4

Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models

Ying, J., Cao, Y., Bai, Y., Sun, Q., Wang, B., Tang, W., Ding, Z., Yang, Y., Huang, X., & Yan, S. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 1

Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models - The Story Goes On

Zeng, L., Zhong, L., Zhao, L., Wei, T., Yang, L., He, J., Cheng, C., Hu, R., Liu, Y., Yan, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0