Yixing Xu

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 35

Top Topics

Neural Architectures

Frequency Domain

Top Venues

Publications

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
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao
FDViT: Improve the Hierarchical Architecture of Vision Transformer. ICCV (2023)
Rabab Haider, Yixing Xu, Weiwei Yang
Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid. e-Energy (Companion) (2023)
Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao
Source-Free Domain Adaptation via Distribution Estimation. CoRR (2022)
Yixing Xu, Xinghao Chen, Yunhe Wang
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. CoRR (2022)
Yixing Xu, Xinghao Chen, Yunhe Wang
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. NeurIPS (2022)
Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang
Federated Learning with Positive and Unlabeled Data. ICML (2022)
Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu
Neural architecture tuning with policy adaptation. Neurocomputing 485 (2022)
Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao
Source-Free Domain Adaptation via Distribution Estimation. CVPR (2022)
Yixing Xu, Daniel Olsen, Bainan Xia, Dan Livengood, Victoria Hunt, Yifan Li, Lane Smith
A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals. CoRR (2022)
Dongqi Wu, Xiangtian Zheng, Ali Menati, Lane Smith, Bainan Xia, Yixing Xu, Chanan Singh, Le Xie
How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage? CoRR (2022)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR (2021)
Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang
Federated Learning with Positive and Unlabeled Data. CoRR (2021)
Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR (2021)
Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
Manifold Regularized Dynamic Network Pruning. CVPR (2021)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS (2021)
Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
Manifold Regularized Dynamic Network Pruning. CoRR (2021)
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
Kernel Based Progressive Distillation for Adder Neural Networks. CoRR (2020)
Yunhe Wang, Yixing Xu, Dacheng Tao
DC-NAS: Divide-and-Conquer Neural Architecture Search. CoRR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
A Semi-Supervised Assessor of Neural Architectures. CoRR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
A Semi-Supervised Assessor of Neural Architectures. CVPR (2020)
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
Training Binary Neural Networks through Learning with Noisy Supervision. ICML (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. AAAI (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR (2020)
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
Training Binary Neural Networks through Learning with Noisy Supervision. CoRR (2020)
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. CoRR (2020)
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
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR (2020)
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
A Survey on Visual Transformer. CoRR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS (2020)
Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu
Full-Stack Filters to Build Minimum Viable CNNs. CoRR (2019)
Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
Positive-Unlabeled Compression on the Cloud. NeurIPS (2019)
Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu
RNAS: Architecture Ranking for Powerful Networks. CoRR (2019)
Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
Positive-Unlabeled Compression on the Cloud. CoRR (2019)
Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao
Multi-Positive and Unlabeled Learning. IJCAI (2017)
Yixing Xu, Chanan Singh
Power System Reliability Impact of Energy Storage Integration With Intelligent Operation Strategy. IEEE Trans. Smart Grid 5 (2) (2014)