Neural Network-Based Robust Tracking Control for Nonholonomic Mobile Robot. - Jinzhu Peng; Yaonan Wang 001; Hongshan Yu (ISNN (1), 2007)

An Occupancy Grids Building Method with Sonar Sensors Based on Improved Neural Network Model. - Hongshan Yu; Yaonan Wang 001; Jinzhu Peng (ISNN (1), 2007)

Tracking Multiple Persons Based on Attributed Relational Graph. - Qin Wan 001; Yaonan Wang 001; Hongshan Yu; Xiaofang Yuan; Juan Lu (Int. J. Pattern Recognit. Artif. Intell., 2011)

Robot Navigation Based on Fuzzy Behavior Controller. - Hongshan Yu; Jiang Zhu; Yaonan Wang 001; Miao Hu; Yuan Zhang (ISNN (2), 2012)

Obstacle Classification and 3D Measurement in Unstructured Environments Based on ToF Cameras. - Hongshan Yu; Jiang Zhu; Yaonan Wang 001; Wenyan Jia; Mingui Sun; Yandong Tang (Sensors, 2014)

All-dimension neighborhood based particle swarm optimization with randomly selected neighbors. - Wei Sun 028; Anping Lin; Hongshan Yu; Qiaokang Liang; Guohua Wu 001 (Inf. Sci., 2017)

Automatic Camera Calibration Using Active Displays of a Virtual Pattern. - Lei Tan; Yaonan Wang 001; Hongshan Yu; Jiang Zhu (Sensors, 2017)

Chaotic comprehensive learning particle swarm optimization with nonlinear transformation. - Anping Lin; Wei Sun 028; Hongshan Yu (ICKII, 2018)

Methods and datasets on semantic segmentation: A review. - Hongshan Yu; Zhengeng Yang; Lei Tan; Yaonan Wang 001; Wei Sun 028; Mingui Sun; Yandong Tang (Neurocomputing, 2018)

Augmentation of Fingerprints for Indoor WiFi Localization Based on Gaussian Process Regression. - Wei Sun 028; Min Xue; Hongshan Yu; Hongwei Tang; Anping Lin (IEEE Trans. Veh. Technol., 2018)

Locally Shared Features: An Efficient Alternative to Conditional Random Field for Semantic Segmentation. - Zhengeng Yang; Hongshan Yu; Wei Sun 028; Zhihong Mao; Mingui Sun (IEEE Access, 2019)

A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments. - Hongwei Tang; Wei Sun 028; Hongshan Yu; Anping Lin; Min Xue; Yuxue Song (Appl. Intell., 2019)

Adaptive comprehensive learning particle swarm optimization with cooperative archive. - Anping Lin; Wei Sun 028; Hongshan Yu; Guohua Wu 001; Hongwei Tang (Appl. Soft Comput., 2019)

Real time backbone for semantic segmentation. - Zhengeng Yang; Hongshan Yu; Qiang Fu 013; Wei Sun 028; Wenyan Jia; Mingui Sun; Zhi-Hong Mao (CoRR, 2019)

Locate the Mobile Device by Enhancing the WiFi-Based Indoor Localization Model. - Min Xue; Wei Sun 028; Hongshan Yu; Hongwei Tang; Anping Lin; Xing Zhang; Roger Zimmermann (IEEE Internet Things J., 2019)

Global genetic learning particle swarm optimization with diversity enhancement by ring topology. - Anping Lin; Wei Sun 028; Hongshan Yu; Guohua Wu 001; Hongwei Tang (Swarm Evol. Comput., 2019)

FastORB-SLAM: a Fast ORB-SLAM Method with Coarse-to-Fine Descriptor Independent Keypoint Matching. - Qiang Fu 013; Hongshan Yu; Xiaolong Wang 005; Zhengeng Yang; Hong Zhang 013; Ajmal Mian (CoRR, 2020)

PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line. - Qiang Fu 013; Jialong Wang; Hongshan Yu; Islam Ali; Feng Guo; Hong Zhang 013 (CoRR, 2020)

Self-supervised Learning with Fully Convolutional Networks. - Zhengeng Yang; Hongshan Yu; Yong He 012; Zhi-Hong Mao; Ajmal Mian (CoRR, 2020)

A multirobot target searching method based on bat algorithm in unknown environments. - Hongwei Tang; Wei Sun 028; Hongshan Yu; Anping Lin; Min Xue (Expert Syst. Appl., 2020)

Small Object Augmentation of Urban Scenes for Real-Time Semantic Segmentation. - Zhengeng Yang; Hongshan Yu; Mingtao Feng; Wei Sun 028; Xuefei Lin; Mingui Sun; Zhi-Hong Mao; Ajmal Mian (IEEE Trans. Image Process., 2020)

Deep Learning based 3D Segmentation: A Survey. - Yong He 012; Hongshan Yu; Xiaoyan Liu; Zhengeng Yang; Wei Sun 028; Yaonan Wang 001; Qiang Fu 013; Yanmei Zou; Ajmal Mian (CoRR, 2021)

HDPL: a hybrid descriptor for points and lines based on graph neural networks. - Zirui Guo; Huimin Lu 002; Qinghua Yu; Ruibin Guo; Junhao Xiao 001; Hongshan Yu (Ind. Robot, 2021)

Faster Single Model Vigilance Detection Based on Deep Learning. - Wei Wu; Wei Sun 028; Q. M. Jonathan Wu; Cheng Zhang; Yimin Yang 001; Hongshan Yu; Bao-Liang Lu (IEEE Trans. Cogn. Dev. Syst., 2021)

NDNet: Narrow While Deep Network for Real-Time Semantic Segmentation. - Zhengeng Yang; Hongshan Yu; Qiang Fu 013; Wei Sun 028; Wenyan Jia; Mingui Sun; Zhi-Hong Mao (IEEE Trans. Intell. Transp. Syst., 2021)

Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection. - Mingtao Feng; Kendong Liu; Liang Zhang 010; Hongshan Yu; Yaonan Wang 001; Ajmal Mian (CVPR, 2022)

LA-HRNet: High-Resolution Network for Automatic Left Atrial Segmentation in Multi-center LEG MRI. - Tongtong Xie; Zhengeng Yang; Hongshan Yu (LAScarQS@MICCAI, 2022)

Sparse Optical Flow-Based Line Feature Tracking. - Qiang Fu 013; Hongshan Yu; Islam Ali; Hong Zhang 013 (CoRR, 2022)

Fast ORB-SLAM Without Keypoint Descriptors. - Qiang Fu 013; Hongshan Yu; Xiaolong Wang 005; Zhengeng Yang; Yong He 012; Hong Zhang 013; Ajmal Mian (IEEE Trans. Image Process., 2022)

AShapeFormer : Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers. - Zechuan Li; Hongshan Yu; Zhengeng Yang; Tom Tongjia Chen; Naveed Akhtar (CVPR, 2023)

Full Point Encoding for Local Feature Aggregation in 3D Point Clouds. - Yong He 012; Hongshan Yu; Zhengeng Yang; Xiaoyan Liu; Wei Sun 028; Ajmal Mian (CoRR, 2023)

First Place Solution to the CVPR'2023 AQTC Challenge: A Function-Interaction Centric Approach with Spatiotemporal Visual-Language Alignment. - Tom Tongjia Chen; Hongshan Yu; Zhengeng Yang; Ming Li 010; Zechuan Li; Jingwen Wang; Wei Miao; Wei Sun 028; Chen Chen 001 (CoRR, 2023)

DANet: Density Adaptive Convolutional Network With Interactive Attention for 3D Point Clouds. - Yong He 012; Hongshan Yu; Zhengeng Yang; Wei Sun 028; Mingtao Feng; Ajmal Mian (IEEE Robotics Autom. Lett., 2023)

Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding. - Yanmei Zou; Hongshan Yu; Zhengeng Yang; Zechuan Li; Naveed Akhtar (AAAI, 2024)

OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition. - Tom Tongjia Chen; Hongshan Yu; Zhengeng Yang; Zechuan Li; Wei Sun 028; Chen Chen 001 (CVPR, 2024)

VAG: Voxel Attenuation Grid For Sparse-View CBCT Reconstruction. - Jinhao Qiao; Jiang Liu; Heng Yu; Yi Xiao; Hongshan Yu; Yan Zheng; Sihan Li (ICIP, 2024)

3D point cloud-based place recognition: a survey. - Kan Luo; Hongshan Yu; Xieyuanli Chen; Zhengeng Yang; Jingwen Wang; Panfei Cheng; Ajmal Mian (Artif. Intell. Rev., 2024)

Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling. - Yong He 012; Hongshan Yu; Muhammad Ibrahim 001; Xiaoyan Liu; Tom Tongjia Chen; Anwaar Ulhaq; Ajmal Mian (CoRR, 2024)

EFRNet-VL: An end-to-end feature refinement network for monocular visual localization in dynamic environments. - Jingwen Wang; Hongshan Yu; Xuefei Lin; Zechuan Li; Wei Sun 028; Naveed Akhtar (Expert Syst. Appl., 2024)

Fully Convolutional Network-Based Self-Supervised Learning for Semantic Segmentation. - Zhengeng Yang; Hongshan Yu; Yong He 012; Wei Sun 028; Zhi-Hong Mao; Ajmal Mian (IEEE Trans. Neural Networks Learn. Syst., 2024)

Domain-Invariant Prototypes for Semantic Segmentation. - Zhengeng Yang; Hongshan Yu; Wei Sun 028; Li Cheng 001; Ajmal Mian (IEEE Trans. Circuits Syst. Video Technol., 2024)

Fine-Grained Semantic Information Preservation and Misclassification-Aware Loss for 3D Point Cloud. - Yanmei Zou; Xuefei Lin; Hongshan Yu; Zhengeng Yang; Naveed Akhtar (IEEE Robotics Autom. Lett., 2024)

IMPS: Informative Map Point Selection for Visual-Inertial SLAM. - Changxiang Liu; Hongshan Yu; Qiang Fu 013; Xieyuanli Chen; Naveed Akhtar; Zhi-Hong Mao (IEEE Trans. Intell. Veh., 2024)

Adaptive Safety Control for Constrained Uncertain Robotic Systems: A Neural Network-Based High-Order Control Barrier Function Approach. - Jinzhu Peng; Zhiyao Ni; Haijing Wang; Hongshan Yu; Shuai Ding (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features. - Changxiang Liu; Qinhan Yang; Hongshan Yu; Qiang Fu 013; Naveed Akhtar (Neural Comput. Appl., 2024)

SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM. - Neng Wang; Xieyuanli Chen; Chenghao Shi; Zhiqiang Zheng 002; Hongshan Yu; Huimin Lu 002 (IEEE Robotics Autom. Lett., 2024)

GO-N3RDet: Geometry Optimized NeRF-enhanced 3D Object Detector. - Zechuan Li; Hongshan Yu; Yihao Ding; Jinhao Qiao; Basim Azam; Naveed Akhtar (CVPR, 2025)

Deep learning based 3D segmentation in computer vision: A survey. - Yong He 012; Hongshan Yu; Xiaoyan Liu; Zhengeng Yang; Wei Sun 028; Saeed Anwar; Ajmal Mian (Inf. Fusion, 2025)

Deep learning based infrared small object segmentation: Challenges and future directions. - Zhengeng Yang; Hongshan Yu; Jianjun Zhang; Qiang Tang; Ajmal Mian (Inf. Fusion, 2025)

SLBL-PU: Shadow-Based Layer-By-Layer Phase Unwrapping for Efficient 3D Measurement. - Ruiming Yu; Hongshan Yu; Haiqiang Xu; Wei Sun 028; Naveed Akhtar; Yaonan Wang 001 (IEEE Trans. Computational Imaging, 2025)

Efficient 3-D Measurement Based on De Bruijn Nonuniform Periodic Phase-Shifting. - Hongshan Yu; Ruiming Yu; Wei Sun 028; Naveed Akhtar (IEEE Trans. Instrum. Meas., 2025)

Exploring Hierarchical Spatial Layout Cues for 3D Point Cloud Based Scene Graph Prediction. - Mingtao Feng; Haoran Hou; Liang Zhang 010; Yulan Guo; Hongshan Yu; Yaonan Wang 001; Ajmal Mian (IEEE Trans. Multim., 2025)

Embodied Intelligence for 3D Understanding: A Survey on 3D Scene Question Answering. - Zechuan Li; Hongshan Yu; Yihao Ding; Yan Li; Yong He 012; Naveed Akhtar (CoRR, 2025)

PE-VINS: Accurate Monocular Visual-Inertial SLAM With Point-Edge Features. - Changxiang Liu; Hongshan Yu; Panfei Cheng; Wei Sun 028; Javier Civera 001; Xieyuanli Chen (IEEE Trans. Intell. Veh., 2025)

PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation. - Yong He 012; Hongshan Yu; Mingtao Feng; Tom Tongjia Chen; Zechuan Li; Anwaar Ulhaq; Saeed Anwar; Ajmal Saeed Mian (CoRR, 2025)

RID-Net: A Hybrid MLP-Transformer Network for Robust Point Cloud Registration. - Panfei Cheng; Hongshan Yu; Changxiang Liu; Kan Luo; Naveed Akhtar; Xieyuanli Chen (IEEE Robotics Autom. Lett., 2025)

Full Point Encoding for Local Feature Aggregation in 3-D Point Clouds. - Yong He 012; Hongshan Yu; Zhengeng Yang; Xiaoyan Liu; Wei Sun 028; Ajmal Mian (IEEE Trans. Neural Networks Learn. Syst., 2025)