FPGA-Based Genetic Algorithm Kernel Design. - Xunying Zhang; Chen Shi; Fei Hui (ICES, 2007)

Integrated ISS and FPGA SoC HW/SW Co-verification environment design. - Xunying Zhang; Fei Hui; Qiang Wang; Xubang Shen (CSCWD, 2008)

Merging Driver Assistance Decision System Using Occupancy Grid-Based Traffic Situation Representation. - Kenan Mu; Fei Hui; Xiangmo Zhao (ITSC, 2015)

Reduction of Peak-to-Average Power Ratio of Multicarrier Modulation Signals with Adaptive Companding Scheme. - Jun Hou; Xiangmo Zhao; Fei Hui (KSII Trans. Internet Inf. Syst., 2016)

Multiple Vehicle Detection and Tracking in Highway Traffic Surveillance Video Based on SIFT Feature Matching. - Kenan Mu; Fei Hui; Xiangmo Zhao (J. Inf. Process. Syst., 2016)

In-hand object material characterization with fast level set in log-polar domain and dynamic time warping. - Fei Hui; Pierre Payeur; Ana-Maria Cretu 001 (I2MTC, 2017)

Visual Tracking of Deformation and Classification of Non-Rigid Objects with Robot Hand Probing. - Fei Hui; Pierre Payeur; Ana-Maria Crétu 001 (Robotics, 2017)

PAPR and PICR Reduction of OFDM Signals With Clipping Noise-Based Tone Injection Scheme. - Jun Hou 003; Xiangmo Zhao; Fengkui Gong; Fei Hui; Jianhua Ge (IEEE Trans. Veh. Technol., 2017)

Enhanced reliability of hexagonal boron nitride dielectric stacks due to high thermal conductivity. - Xianhu Liang; Bin Yuan; Yuanyuan Shi; Fei Hui; Xu Jing; Mario Lanza; Felix Palumbo (IRPS, 2018)

Tristate Resistive Switching in Heterogenous Van Der Waals Dielectric Structures. - Kaichen Zhu; Xianhu Liang; Bin Yuan; Marco A. Villena; Chao Wen; Tao Wang; Shaochuan Chen; Mario Lanza; Fei Hui; Yuanyuan Shi (IRPS, 2019)

Two-Stage Companding Scheme to Reduce Peak-to-Average Power Ratio for Safety Transportation Scenarios. - Jun Hou 003; Wei Wang 026; Yang Zhang 047; Fei Hui; Xinyi Liu; Xiangmo Zhao (IEEE Access, 2019)

Cooperative Game Approach to Optimal Merging Sequence and on-Ramp Merging Control of Connected and Automated Vehicles. - Shoucai Jing; Fei Hui; Xiangmo Zhao; Jackeline Rios-Torres; Asad J. Khattak (IEEE Trans. Intell. Transp. Syst., 2019)

Influence of the magnetic field on dielectric breakdown in memristors based on h-BN stacks. - David Maldonado; Juan Bautista Roldán; Andrés M. Roldán; Francisco Jiménez-Molinos; Fei Hui; Y. Shi; Xu Jing; Chao Wen; Mario Lanza (IRPS, 2020)

Reversible dielectric breakdown in h-BN stacks: a statistical study of the switching voltages. - Juan Bautista Roldán; David Maldonado; Francisco Jiménez-Molinos; Christian Acal; Juan Eloy Ruiz-Castro; Ana M. Aguilera; Fei Hui; J. Kong; Y. Shi; Xu Jing; Chao Wen; Marco Antonio Villena; et al. (IRPS, 2020)

Time series modeling of the cycle-to-cycle variability in h-BN based memristors. - Juan Bautista Roldán; David Maldonado; Francisco J. Alonso; Andrés M. Roldán; Fei Hui; Yuanyuan Shi; Francisco Jiménez-Molinos; Ana M. Aguilera; Mario Lanza (IRPS, 2021)

Real-time Simulation and Testing of a Neural Network-based Autonomous Vehicle Trajectory Prediction Model. - Cheng Wei; Fei Hui; Xiangmo Zhao; Shan Fang (MSN, 2022)

Integrated Longitudinal and Lateral Hierarchical Control of Cooperative Merging of Connected and Automated Vehicles at On-Ramps. - Shoucai Jing; Fei Hui; Xiangmo Zhao; Jackeline Rios-Torres; Asad J. Khattak (IEEE Trans. Intell. Transp. Syst., 2022)

An Easy-portable Displacement-offset-based Trajectory Prediction Method for Autonomous Vehicles. - Cheng Wei; Fei Hui; Xiangmo Zhao; Shanke Li; Jie Wei (DSA, 2023)

A Neural Network-Based Model with Conditional-Deactivation Structure for Autonomous Vehicle Motivation Prediction at Intersections. - Cheng Wei; Fei Hui; Kenan Mu; Kun Peng; Shanke Li (PCCNT, 2023)

Roadside Object Detection Algorithm Based on Improved YOLOv7. - Xindong Wang; Xin Jin; Fei Hui (SmartIoT, 2023)

Controllable probability-limited and learning-based human-like vehicle behavior and trajectory generation for autonomous driving testing in highway scenario. - Cheng Wei; Fei Hui; Asad J. Khattak; Yutan Zhang; Wenbo Wang (Expert Syst. Appl., 2023)

SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection. - Xin Jin 014; Kai Liu; Cong Ma; Ruining Yang; Fei Hui; Wei Wu 021 (AAAI, 2024)

A Decision-Making Approach for Complex Unsignalized Intersection by Deep Reinforcement Learning. - Shanke Li; Kun Peng; Fei Hui; Ziqi Li; Cheng Wei; Wenbo Wang (IEEE Trans. Veh. Technol., 2024)

UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection. - Xin Jin 014; Haisheng Su; Kai Liu; Cong Ma; Wei Wu 021; Fei Hui; Junchi Yan (CVPR, 2025)

A priori-assisted, parallel heuristic attention-aided encoder-decoder: A data-driven model for autonomous vehicle behavior and trajectory predictions in intersections. - Cheng Wei; Fei Hui; Asad J. Khattak; Kenan Mu; Xiyao Liu 003 (Inf. Sci., 2025)

A Novel GAN-Based Point Cloud Completion Network for 3D Object Enhancement. - Kun Peng; Shanke Li; Fei Hui; Kenan Mu (IEEE Signal Process. Lett., 2025)

An Efficient High-Risk Lane-Changing Scenario Edge Cases Generation Method for Autonomous Vehicle Safety Testing. - Shoucai Jing; Yuyu Zhao; Xiangmo Zhao; Fei Hui; Asad J. Khattak (IEEE Trans. Intell. Veh., 2025)

HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration. - Xiyu Zhang 001; Jiayi Ma 001; Jianwei Guo; Wei Hu; Zhaoshuai Qi; Fei Hui; Jiaqi Yang 002; Yanning Zhang 001 (CoRR, 2025)

Adaptive Optimization and Performance Analysis of Resource Reservation in C-V2X. - Xindong Wang; Xingkai Zhou; Chao Shen; Geng Niu; Fei Hui (KSII Trans. Internet Inf. Syst., 2025)

DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance. - Haonan Zhang; Longjun Liu; Yi Zhang 140; Xinyu Lei; Fei Hui; Bihan Wen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Efficient and Eco Lane-Changing Trajectory Planning for Connected and Automated Vehicles: Deep Reinforcement Learning-Based Method. - Shoucai Jing; Yao Feng; Fei Hui; Jianbei Liu; Xiangmo Zhao; Asad J. Khattak (IEEE Trans. Intell. Transp. Syst., 2025)