Yixing Xu

According to our database, Yixing Xu authored at least 25 papers between 2014 and 2023.

Collaborative distances:

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

2023

A Survey on Vision Transformer.

Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao

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

FDViT: Improve the Hierarchical Architecture of Vision Transformer.

Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao

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

Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid.

Rabab Haider, Yixing Xu, Weiwei Yang

Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Neural architecture tuning with policy adaptation.

Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu

Neurocomputing, 2022

A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals.

Yixing Xu, Daniel Olsen, Bainan Xia, Dan Livengood, Victoria Hunt, Yifan Li, Lane D. Smith

CoRR, 2022

How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage?

Dongqi Wu, Xiangtian Zheng, Ali Menati, Lane D. Smith, Bainan Xia, Yixing Xu, Chanan Singh, Le Xie

CoRR, 2022

BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons.

Yixing Xu, Xinghao Chen, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Learning with Positive and Unlabeled Data.

Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang

Proceedings of the International Conference on Machine Learning, 2022

Source-Free Domain Adaptation via Distribution Estimation.

Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao

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

2021

Learning Frequency Domain Approximation for Binary Neural Networks.

Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang

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

ReNAS: Relativistic Evaluation of Neural Architecture Search.

Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu

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

Manifold Regularized Dynamic Network Pruning.

Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu

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

2020

A Survey on Visual Transformer.

Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao

CoRR, 2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang

CoRR, 2020

DC-NAS: Divide-and-Conquer Neural Architecture Search.

Yunhe Wang, Yixing Xu, Dacheng Tao

CoRR, 2020

Kernel Based Progressive Distillation for Adder Neural Networks.

Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang

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

SCOP: Scientific Control for Reliable Neural Network Pruning.

Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu

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

Training Binary Neural Networks through Learning with Noisy Supervision.

Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu

Proceedings of the 37th International Conference on Machine Learning, 2020

A Semi-Supervised Assessor of Neural Architectures.

Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks.

Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

RNAS: Architecture Ranking for Powerful Networks.

Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu

CoRR, 2019

Full-Stack Filters to Build Minimum Viable CNNs.

Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu

CoRR, 2019

Positive-Unlabeled Compression on the Cloud.

Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu

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

2017

Multi-Positive and Unlabeled Learning.

Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2014

Power System Reliability Impact of Energy Storage Integration With Intelligent Operation Strategy.

Yixing Xu, Chanan Singh

IEEE Trans. Smart Grid, 2014