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)

Development of a Wearable Electrical Impedance Tomographic Sensor for Gesture Recognition With Machine Learning. - Jiafeng Yao; Huaijin Chen 002; Zifei Xu; Jingshi Huang; Jianping Li 003; Jiabin Jia; Hongtao Wu 001 (IEEE J. Biomed. Health Informatics, 2020)

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)

Asynchronous capacitive SAR ADC based on Hopfield network. - Xueyan Bai; Shogo Katayama; Dan Yao; Anna Kuwana; Zifei Xu; Haruo Kobayashi 001 (IEICE Electron. Express, 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)

Back to the Analog Neural Network and Linear Circuit Theory. - Haruo Kobayashi 001; Manato Hirai; Kakeru Otomo; Shogo Katayama; Xueyan Bai; Masashi Chiba; Zifei Xu; Dan Yao; Lengkhang Nengvang; Minh Tri Tran 001; Kanji Yoshihiro; Anna Kuwana; et al. (ASICON, 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 042; Nduka Ekere (Comput. Ind. Eng., 2023)

Post Training Quantization of Large Language Models with Microscaling Formats. - Sayeh Sharify; Utkarsh Saxena; Zifei Xu; Wanzin Yazar; Ilya Soloveychik; Xin Wang (ENLSP, 2024)

Scaling laws for post-training quantized large language models. - Zifei Xu; Alexander Lan; Wanzin Yazar; Tristan Webb; Sayeh Sharify; Xin Wang (ENLSP, 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 001 (ISPACS, 2024)

Physics-informed probabilistic deep network with interpretable mechanism for trustworthy mechanical fault diagnosis. - Zifei Xu; Kaicheng Zhao; Jin Wang 042; Musa Bashir (Adv. Eng. Informatics, 2024)

Self-Selected Attention Span for Accelerating Large Language Model Inference. - Tian Jin; Wanzin Yazar; Zifei Xu; Sayeh Sharify; 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)

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)

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)

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., 2024)

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)

Early Attentive Sparsification Accelerates Neural Speech Transcription. - Zifei Xu; Sayeh Sharify; Hesham Mostafa; Tristan Webb; Wanzin Yazar; Xin Wang (CoRR, 2025)