Efficiency Enhancement of General AC Drive System by Remanufacturing Induction Motor With Interior Permanent-Magnet Rotor. - Ronggang Ni; Dianguo Xu 001; Gaolin Wang; Xianguo Gui; Guoqiang Zhang 006; Hanlin Zhan; Chengrui Li (IEEE Trans. Ind. Electron., 2016)

Sensorless Control of IPMSM Drives Using a Pseudo-Random Phase-Switching Fixed-Frequency Signal Injection Scheme. - Gaolin Wang; Honglei Zhou; Nannan Zhao; Chengrui Li; Dianguo Xu 001 (IEEE Trans. Ind. Electron., 2018)

Continuous-Time Systems for Solving 0-1 Integer Linear Programming Feasibility Problems. - Chengrui Li; Bruce J. MacLennan (CoRR, 2019)

Saliency-Based Sensorless Control for SynRM Drives With Suppression of Position Estimation Error. - Chengrui Li; Gaolin Wang; Guoqiang Zhang 006; Dianguo Xu 001; Dianxun Xiao (IEEE Trans. Ind. Electron., 2019)

Torque Ripples Minimization of Sensorless SynRM Drives for Low-Speed Operation Using Bi-HFSI Scheme. - Chengrui Li; Gaolin Wang; Guoqiang Zhang 006; Nannan Zhao; Yongchang Gao; Dianguo Xu 001 (IEEE Trans. Ind. Electron., 2021)

Semantic-Based Deep Learning Algorithm for Vehicle Re-identification. - Xinlei Wei; Yexuan Zhu; Luyao Wang; Chengrui Li; Jia Guo (ICCAI, 2022)

Robust State of Charge Estimation for Battery with Self-Adaptive Super Twisting Sliding Mode Observer. - Shuo Zhang; Xinghao Wang; Chengrui Li; Dianxun Xiao (IECON, 2023)

Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. - Yule Wang; Zijing Wu; Chengrui Li; Anqi Wu (NeurIPS, 2023)

Forward χ2 Divergence Based Variational Importance Sampling. - Chengrui Li; Yule Wang; Weihan Li; Anqi Wu (CoRR, 2023)

An Efficient On-Chip Storage Solution for CNN Accelerator Based on Self-tuning and Co-scheduling. - Chengrui Li; Ning Zhao; Xiaopeng Zhang; Wei Gao; Chenjia Xie; Yuan Du; Li Du (APCCAS, 2024)

One-hot Generalized Linear Model for Switching Brain State Discovery. - Chengrui Li; Soon Ho Kim; Chris Rodgers; Hannah Choi; Anqi Wu (ICLR, 2024)

Forward χ2 Divergence Based Variational Importance Sampling. - Chengrui Li; Yule Wang; Weihan Li; Anqi Wu (ICLR, 2024)

Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions. - Weihan Li; Chengrui Li; Yule Wang; Anqi Wu (ICML, 2024)

A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. - Chengrui Li; Weihan Li; Yule Wang; Anqi Wu (ICML, 2024)

Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models. - Yule Wang; Chengrui Li; Weihan Li; Anqi Wu (NeurIPS, 2024)

Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process. - Weihan Li; Yule Wang; Chengrui Li; Anqi Wu (CoRR, 2024)

Cross-Semantic Heterogeneous Modeling Network for Hyperspectral Image Classification. - Zhi Li 083; Ke Zheng; Jiaxin Li; Chengrui Li; Lianru Gao (IEEE Trans. Geosci. Remote. Sens., 2024)

Inverse Kernel Decomposition. - Chengrui Li; Anqi Wu (Trans. Mach. Learn. Res., 2024)

Gas Kinetic Scheme Coupled with High-Speed Modifications for Hypersonic Transition Flow Simulations. - Chengrui Li; Wenwen Zhao; Hualin Liu; Youtao Xue; Yuxin Yang; Weifang Chen (Entropy, 2024)

Feature Reconstruction Guided Fusion Network for Hyperspectral and LiDAR Classification. - Zhi Li 083; Ke Zheng; Lianru Gao; Nannan Zi; Chengrui Li (IEEE Trans. Geosci. Remote. Sens., 2025)

A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement. - Chengrui Li; Yunmiao Wang; Yule Wang; Weihan Li; Dieter Jaeger; Anqi Wu (CoRR, 2025)