Yihao Xue

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Bilinear Interpolation

Fault Diagnosis

Top Venues

IEEE Trans. Instrum. Meas.

Publications

Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
Investigating the Benefits of Projection Head for Representation Learning. ICLR (2024)
Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. ICLR (2024)
Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
Investigating the Benefits of Projection Head for Representation Learning. CoRR (2024)
Yihao Xue, Rui Yang, Xiaohan Chen, Zhongbei Tian, Zidong Wang
A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 72 (2023)
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. CoRR (2023)
Xiaohan Chen, Rui Yang, Yihao Xue, Chao Yang, Baoye Song, Maiying Zhong
A novel momentum prototypical neural network to cross-domain fault diagnosis for rotating machinery subject to cold-start. Neurocomputing 555 (2023)
Xiaohan Chen, Rui Yang, Yihao Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016. IEEE Trans. Instrum. Meas. 72 (2023)
Siddharth Joshi, Yu Yang, Yihao Xue, Wenhan Yang, Baharan Mirzasoleiman
Towards Mitigating Spurious Correlations in the Wild: A Benchmark & a more Realistic Dataset. CoRR (2023)
Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing. CoRR (2023)
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. ICML (2023)
Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. CoRR (2023)
Wenkai Huang, Yihao Xue, Zefeng Xu, Guanglong Peng, Yu Wu
Polyphonic music generation generative adversarial network with Markov decision process. Multim. Tools Appl. 81 (21) (2022)
Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman
Superior generalization of smaller models in the presence of significant label noise. CoRR (2022)
Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman
Investigating Why Contrastive Learning Benefits Robustness against Label Noise. ICML (2022)
Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman
Investigating Why Contrastive Learning Benefits Robustness Against Label Noise. CoRR (2022)
Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen
Toward Understanding the Influence of Individual Clients in Federated Learning. AAAI (2021)
Wenkai Huang, Yihao Xue, Zefeng Xu, Lingkai Hu
Successive Over Relaxation Recurrent Confidence Inference Network Based on Linear Extrapolation. IEEE Access 9 (2021)
Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen
Toward Understanding the Influence of Individual Clients in Federated Learning. CoRR (2020)
Wenkai Huang, Yihao Xue, Lingkai Hu, Hantang Liuli
S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network With Bilinear Interpolation. IEEE Access 8 (2020)