Xu, Chang

GhostNet: More Features From Cheap Operations

Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5,222

Pre-Trained Image Processing Transformer

Chen, H., Wang, Y., Guo, T., Xu, C., Deng, Y., Liu, Z., Ma, S., Xu, C., Xu, C., & Gao, W. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 2,308

CMT: Convolutional Neural Networks Meet Vision Transformers

Guo, J., Han, K., Wu, H., Tang, Y., Chen, X., Wang, Y., & Xu, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,005

CMT: Convolutional Neural Networks Meet Vision Transformers

Guo, J., Han, K., Wu, H., Tang, Y., Chen, X., Wang, Y., & Xu, C. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,005

Self-Supervised Representation Learning by Rotation Feature Decoupling

Feng, Z., Xu, C., & Tao, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 225

Patch Slimming for Efficient Vision Transformers

Tang, Y., Han, K., Wang, Y., Xu, C., Guo, J., Xu, C., & Tao, D. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 201

AdderNet: Do We Really Need Multiplications in Deep Learning?

Chen, H., Wang, Y., Xu, C., Shi, B., Xu, C., Tian, Q., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 199

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Guo, J., Han, K., Wang, Y., Zhang, C., Yang, Z., Wu, H., Chen, X., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 110

Searching for Low-Bit Weights in Quantized Neural Networks

Yang, Z., Wang, Y., Han, K., Xu, C., Xu, C., Tao, D., & Xu, C. (2020) · arXiv

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 64

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction

Hou, M., Xu, C., Li, Z., Liu, Y., Liu, W., Chen, E., & Bian, J. (2022) · Proceedings of the ACM Web Conference 2022

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 59

Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise Features

Xu, C., & Zhang, J. (2015) · Proceedings of the 2015 SIAM International Conference on Data Mining

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 51

DeepFake Disrupter: The Detector of DeepFake Is My Friend

Wang, X., Huang, J., Ma, S., Nepal, S., & Xu, C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 45

Training Binary Neural Networks through Learning with Noisy Supervision

Han, K., Wang, Y., Xu, Y., Xu, C., Wu, E., & Xu, C. (2020) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 36

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

Hou, M., Xu, C., Liu, Y., Liu, W., Bian, J., Wu, L., Li, Z., Chen, E., & Liu, T.-Y. (2021) · Proceedings of the 30th ACM International Conference on Information & Knowledge Management

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 35

Trade-off between Robustness and Accuracy of Vision Transformers

Li, Y., & Xu, C. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 23

Can GPT-4 Perform Neural Architecture Search?

Zheng, M., Su, X., You, S., Wang, F., Qian, C., Xu, C., & Albanie, S. (2023) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 15

Learning Versatile Convolution Filters for Efficient Visual Recognition

Han, K., Wang, Y., Xu, C., Xu, C., Wu, E., & Tao, D. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 8