Generalized Phase-Shift PWM for Active-Neutral-Point-Clamped Multilevel Converter. - Yuzhuo Li; Hao Tian 004; Yunwei Li 001 (IEEE Trans. Ind. Electron., 2020)

Commutation Scheme of Seven-Level Hybrid-Clamped Converters With Suppressed Deadband-Induced Voltage Spikes. - Hao Tian 004; Yuzhuo Li; Yun Wei Li 001 (IEEE Trans. Ind. Electron., 2021)

On Cognate Multiport Converters through Graphbased Generalized Duality. - Pasan Gunawardena; Yuzhuo Li; Yun Wei Li 001 (IECON, 2022)

Three-Phase Flying Capacitor Clamped Current Source Converter With Active Capacitor Voltage and CMV Control. - Li Ding; Yuzhuo Li; Yun Wei Li 001 (IEEE Trans. Ind. Electron., 2022)

From Graph Theory to Graph Neural Networks (GNNs): The Opportunities of GNNs in Power Electronics. - Yuzhuo Li; Cheng Xue; Faraz Zargari; Yunwei Li 001 (IEEE Access, 2023)

From C.elegans to Liquid Neural Networks: A Robust Wind Power Multi-Time Scale Prediction Framework. - Mariam Mughees; Yuzhuo Li; Yunwei Ryan Li (IECON, 2024)

From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks. - Xiaoting Wang; Yuzhuo Li; Yunwei Li; Gregory Kish (CoRR, 2024)

The Unseen AI Disruptions for Power Grids: LLM-Induced Transients. - Yuzhuo Li; Mariam Mughees; Yize Chen; Yunwei Ryan Li (CoRR, 2024)

The effect of different types of comparative reviews on product sales. - Yuzhuo Li; Min Zhang 014; G. Alan Wang; Ning Zhang 016 (Decis. Support Syst., 2024)

Feature aggregation network for small object detection. - Rudong Jing; Wei Zhang 055; Yuzhuo Li; Wenlin Li; Yanyan Liu 001 (Expert Syst. Appl., 2024)

Dynamic Feature Focusing Network for small object detection. - Rudong Jing; Wei Zhang 055; Yuzhuo Li; Wenlin Li; Yanyan Liu 001 (Inf. Process. Manag., 2024)

A New Artificial Neural Network-Based Calibration Mechanism for ADCs: A Time-Interleaved ADC Case Study. - Zhifei Lu; Bowen Zhang; Xizhu Peng; Hang Liu; Xiaolei Ye; Yuzhuo Li; Yutao Peng; Yao Xiao; Wei Zhang; He Tang (IEEE Trans. Very Large Scale Integr. Syst., 2024)

A lightweight segmentation model based on dilated multi-scale residual attention U-Net for brain tumor segmentation. - Lihong Zhang; Yuzhuo Li; Yingbo Liang; Tong Liu; Wenwu Zhang; Junding Sun (Eng. Appl. Artif. Intell., 2025)

Improvements in Brain Tumor Segmentation Methods Based on Convolutional Neural Networks. - Yuzhuo Li; Lihong Zhang; Yingbo Liang; Chongxin Xu; Tong Liu (EAI Endorsed Trans. e Learn., 2025)

Meta-Feature Adapter: Integrating Environmental Metadata for Enhanced Animal Re-identification. - Yuzhuo Li; Di Zhao; Yihao Wu; Yun Sing Koh (CoRR, 2025)

AI Load Dynamics-A Power Electronics Perspective. - Yuzhuo Li; Yunwei Li (CoRR, 2025)

TransMA-Unet: transformer and multi-scale residual connection attention network for vessel segmentation. - Lihong Zhang; Chongxin Xu; Yingbo Liang; Yuzhuo Li; Tong Liu (Clust. Comput., 2025)