Adaptive Control of Time-Varying Mechanical Systems: Modeling, Controller Design and Experiments. - Prabhakar R. Pagilla; Kiu Ling Pau; Biao Yu (ICRA, 1999)

Design and Experimental Evaluation of a Stable Transition Controller for Geometrically Constrained Robots. - Prabhakar R. Pagilla; Biao Yu (ICRA, 2000)

Adaptive control of robotic surface finishing processes. - Prabhakar R. Pagilla; Biao Yu (ACC, 2001)

An Experimental Study of Planar Impact of a Robot Manipulator. - Prabhakar R. Pagilla; Biao Yu (ICRA, 2001)

Design and implementation of a robust switching control scheme for a class of constrained robot tasks. - Biao Yu; Prabhakar R. Pagilla (Int. J. Syst. Sci., 2006)

UTISP: An Urban Traffic Information Portal Based on WebGIS. - Yan Liu 011; Mingguang Zhuang; Qingling Wang; Biao Yu (ICIW, 2008)

Services Characterization with Statistical Study on Existing Web Services. - Yan Liu 011; Mingguang Zhuang; Biao Yu; Guannan Zhang; Xiaojing Meng (ICWS, 2008)

PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approach. - Xiaofeng Liu 005; Sisheng Ouyang; Biao Yu; Yabo Liu; Kai Huang; Jiayu Gong; Siyuan Zheng; Zhihua Li; Honglin Li 003; Hualiang Jiang (Nucleic Acids Res., 2010)

A camera-based real-time polarization sensor and its application to mobile robot navigation. - Shuai Zhang 029; Huawei Liang; Hui Zhu 010; Daobin Wang; Biao Yu (ROBIO, 2014)

Human-driver speed profile modeling for autonomous vehicle's velocity strategy on curvy paths. - Xinli Geng; Huawei Liang; Hao Xu 004; Biao Yu; Maofei Zhu (Intelligent Vehicles Symposium, 2016)

A multi-population co-evolutionary genetic programming approach for optimal mass customisation production. - Biao Yu; Han Zhao; Deyi Xue (Int. J. Prod. Res., 2017)

A Practical Point Cloud Based Road Curb Detection Method for Autonomous Vehicle. - Rulin Huang; Jiajia Chen; Jian Liu; Lu Liu; Biao Yu; Yihua Wu (Inf., 2017)

Ontology-Based Driving Scene Modeling, Situation Assessment and Decision Making for Autonomous Vehicles. - Lu Huang; Huawei Liang; Biao Yu; Bichun Li; Hui Zhu 010 (ACIRS, 2019)

A Two-Stage Adaptive Clustering Approach for 3D Point Clouds. - Caihong Zhang; Shaoping Wang; Biao Yu; Bichun Li; Hui Zhu 010 (ACIRS, 2019)

Virtual Simulation Experiments of Train Operation Control for High-speed Railway Based on Data and Scenarios. - Yangping Wang; Biao Yu; Jiu Yong; Wenrun Wang (ICCSE, 2019)

Reference Path Correction for Autonomous Ground Vehicles Driving Over Rough Terrain. - Shaobo Wang; Pan Zhao 001; Yanghao Zheng; Biao Yu; Weixin Huang; Hui Zhu 010; Huawei Liang (IV, 2019)

Building Trustful Crowdsensing Service on the Edge. - Biao Yu; Yingwen Chen 001; Shaojing Fu; Wanrong Yu; Xiaoli Guo (WASA, 2019)

Research on Management System of Automatic Driver Decision-Making Knowledge Base for Unmanned Vehicle. - Zhaoxia Zhang; Qing Jiang; Rujing Wang; Liangtu Song; Zhengyong Zhang; Yuanyuan Wei 003; Tao Mei 003; Biao Yu (Int. J. Pattern Recognit. Artif. Intell., 2019)

A hybrid dead reckoning error correction scheme based on extended Kalman filter and map matching for vehicle self-localization. - Biao Yu; Lin Dong; Deyi Xue; Hui Zhu 010; Xinli Geng; Ruling Huang; Jie Wang (J. Intell. Transp. Syst., 2019)

FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks. - Ruochen Yin; Biao Yu; Huapeng Wu; Yuntao Song; Runxin Niu (CoRR, 2020)

Lane Marking Detection Based on Segments with Upper and Lower Structure. - Jun-Jie Huang 004; Zhiling Wang; Huawei Liang; Linglong Lin; Biao Yu; Fei Dong; Yan Xu (Int. J. Pattern Recognit. Artif. Intell., 2020)

Navigation Line Extraction Method for Ramie Combine Harvester Based on U-Net. - Zhengwei Chen; Runxin Niu; Jie Wang; Hui Zhu 010; Biao Yu (ACIRS, 2021)

Laser Data Based Automatic Generation of Lane-Level Road Map for Intelligent Vehicles. - Zehai Yu; Hui Zhu 010; Linglong Lin; Huawei Liang; Biao Yu; Weixin Huang (CoRR, 2021)

A Dead Reckoning Calibration Scheme Based on Optimization with an Adaptive Quantum-Inspired Evolutionary Algorithm for Vehicle Self-Localization. - Biao Yu; Hui Zhu 010; Deyi Xue; Liwei Xu; Shijin Zhang; Bichun Li (Entropy, 2022)

Dual-Constraint Registration LiDAR SLAM Based on Grid Maps Enhancement in Off-Road Environment. - Hui Zhu 010; Xinkai Kuang; Tao Su; Ziyu Chen; Biao Yu; Bichun Li (Remote. Sens., 2022)

A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field. - Weixin Huang; Huawei Liang; Linglong Lin; Zhiling Wang; Shaobo Wang; Biao Yu; Runxin Niu (IEEE Trans. Intell. Transp. Syst., 2022)

FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks. - Ruochen Yin; Yong Cheng; Huapeng Wu; Yuntao Song; Biao Yu; Runxin Niu (IEEE Trans. Intell. Transp. Syst., 2022)

Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network. - Chen Hua; Runxin Niu; Chunmao Jiang; Biao Yu; Hui Zhu 010; Bichun Li (IEEE Robotics Autom. Lett., 2023)

Spatiotemporal BEV Pyramid Networks for Future Instance Prediction of Autonomous Driving. - Wenxuan Wu; Xiang Dong; Hui Zhang; Ziwen Zhao; Biao Yu; Hao Xu 004 (ICACI, 2024)

IGE-LIO: Intensity Gradient Enhanced Tightly Coupled LiDAR-Inertial Odometry. - Ziyu Chen; Hui Zhu 010; Biao Yu; Chunmao Jiang; Chen Hua; Xuhui Fu; Xinkai Kuang (IEEE Trans. Instrum. Meas., 2024)

Fast Clustering for Cooperative Perception Based on LiDAR Adaptive Dynamic Grid Encoding. - Xinkai Kuang; Hui Zhu 010; Biao Yu; Bichun Li (Cogn. Comput., 2024)

Double Neural Networks Enhanced Global Mobility Prediction Model for Unmanned Ground Vehicles in Off-Road Environments. - Chen Hua; Chunmao Jiang; Runxin Niu; Xuhui Fu; Ziyu Chen; Xinkai Kuang; Biao Yu (IEEE Trans. Veh. Technol., 2024)

CMGFA: A BEV Segmentation Model Based on Cross-Modal Group-Mix Attention Feature Aggregator. - Xinkai Kuang; Runxin Niu; Chen Hua; Chunmao Jiang; Hui Zhu 010; Ziyu Chen; Biao Yu (IEEE Robotics Autom. Lett., 2024)

Wavelet-denoised graph-Informer for accurate and stable wind speed prediction. - Biao Yu; Zhenyu Lu; Weiwei Qian (Appl. Soft Comput., 2025)

A Fast Point Cloud Ground Segmentation Approach Based on Block-Sparsely Connected Coarse-to-Fine Markov Random Field. - Weixin Huang; Linglong Lin; Shaobo Wang; Zhun Fan; Biao Yu; Jiajia Chen (IEEE Robotics Autom. Lett., 2025)