Zifei Xu

According to our database, Zifei Xu authored at least 18 papers between 2020 and 2025.

Collaborative distances:

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

2025

Early Attentive Sparsification Accelerates Neural Speech Transcription.

Zifei Xu, Sayeh Sharify, Hesham Mostafa, Tristan Webb, Wanzin Yazar, Xin Wang

CoRR, June, 2025

Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion.

Zifei Xu, Kaicheng Zhao, Wanfu Zhang, Weipao Miao, Kang Sun, Jin Wang, Musa Bashir

J. Ind. Inf. Integr., 2025

2024

Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes.

Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich, Harsha Nori, Ian S. Painter, Vivienne Souter, Rich Caruana

J. Heal. Informatics Res., March, 2024

Rolling bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network.

Zekun Wang, Zifei Xu, Chang Cai, Xiaodong Wang, Jianzhong Xu, Kezhong Shi, Xiaohui Zhong, Zhiqiang Liao, Qing'an Li

Knowl. Based Syst., 2024

Understanding the difficulty of low-precision post-training quantization of large language models.

Zifei Xu, Sayeh Sharify, Wanzin Yazar, Tristan Webb, Xin Wang

CoRR, 2024

Combining multiple post-training techniques to achieve most efficient quantized LLMs.

Sayeh Sharify, Zifei Xu, Wanzin Yazar, Xin Wang

CoRR, 2024

Self-Selected Attention Span for Accelerating Large Language Model Inference.

Tian Jin, Wanzin Yazar, Zifei Xu, Sayeh Sharify, Xin Wang

CoRR, 2024

Physics-informed probabilistic deep network with interpretable mechanism for trustworthy mechanical fault diagnosis.

Zifei Xu, Kaicheng Zhao, Jin Wang, Musa Bashir

Adv. Eng. Informatics, 2024

Asynchronous SAR ADC with Parallel Comparators Inspired by Hopfield Network.

Keita Noda, Hao San, Xueyan Bai, Shogo Katayama, Dan Yao, Anna Kuwana, Zifei Xu, Haruo Kobayashi

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2024

Scaling laws for post-training quantized large language models.

Zifei Xu, Alexander Lan, Wanzin Yazar, Tristan Webb, Sayeh Sharify, Xin Wang

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

Post Training Quantization of Large Language Models with Microscaling Formats.

Sayeh Sharify, Utkarsh Saxena, Zifei Xu, Wanzin Yazar, Ilya Soloveychik, Xin Wang

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

2023

A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model.

Zifei Xu, Musa Bashir, Qinsong Liu, Zifan Miao, Xinyu Wang, Jin Wang, Nduka Ekere

Comput. Ind. Eng., February, 2023

Back to the Analog Neural Network and Linear Circuit Theory.

Haruo Kobayashi, Manato Hirai, Kakeru Otomo, Shogo Katayama, Xueyan Bai, Masashi Chiba, Zifei Xu, Dan Yao, Lengkhang Nengvang, Minh Tri Tran, Kanji Yoshihiro, Anna Kuwana, Takato Ooide, Hiroshi Tanimoto, Yuji Gendai, Jianglin Wei

Proceedings of the 15th IEEE International Conference on ASIC, 2023

2022

An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion.

Zifei Xu, Musa Bashir, Wanfu Zhang, Yang Yang, Xinyu Wang, Chun Li

Inf. Fusion, 2022

Asynchronous capacitive SAR ADC based on Hopfield network.

Xueyan Bai, Shogo Katayama, Dan Yao, Anna Kuwana, Zifei Xu, Haruo Kobayashi

IEICE Electron. Express, 2022

Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes.

Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich, Harsha Nori, Kristin Sitcov, Vivienne Souter, Rich Caruana

CoRR, 2022

2020

Development of a Wearable Electrical Impedance Tomographic Sensor for Gesture Recognition With Machine Learning.

Jiafeng Yao, Huaijin Chen, Zifei Xu, Jingshi Huang, Jianping Li, Jiabin Jia, Hongtao Wu

IEEE J. Biomed. Health Informatics, 2020

Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks.

Zifei Xu, Chun Li, Yang Yang

Appl. Soft Comput., 2020