Learning trajectories as words: a probabilistic generative model for destination prediction. - Yuhuan Lu; Zhaocheng He; Liangkui Luo (MobiQuitous, 2019)

Clarifying Origin-Destination Flows Using Force-Directed Edge Bundling Layout. - Liangkui Luo; Zhaocheng He; Yuhuan Lu; Jinyong Chen (IEEE Access, 2020)

City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling. - Yimin Wang; Yixian Chen; Guilong Li; Yuhuan Lu; Zhi Yu; Zhaocheng He (CoRR, 2021)

Dual attentive graph neural network for metro passenger flow prediction. - Yuhuan Lu; Hongliang Ding; Shiqian Ji; N. N. Sze; Zhaocheng He (Neural Comput. Appl., 2021)

Online Trajectory Estimation Based on a Network-Wide Cellular Fingerprint Map. - Langqiao Chen; Yuhuan Lu; Zhaocheng He; Yixian Chen (Sensors, 2022)

MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments. - Bin Pu; Yuhuan Lu; Jianguo Chen 001; Shengli Li 001; Ningbo Zhu; Wei Wei 006; Kenli Li 001 (IEEE J. Biomed. Health Informatics, 2022)

HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs. - Yuhuan Lu; Bangchao Deng; Weijian Yu; Dingqi Yang (ACM Multimedia, 2023)

Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks. - Yuhuan Lu; Wei Wang 077; Xiping Hu; Pengpeng Xu; Shengwei Zhou 002; Ming Cai (IEEE Trans. Intell. Transp. Syst., 2023)

Automatic incident detection using edge-cloud collaboration based deep learning scheme for intelligent transportation systems. - Yuhuan Lu; Qinghai Lin; Haiyang Chi; Jinyong Chen (Appl. Intell., 2023)

HyperCL: A Contrastive Learning Framework for Hyper-Relational Knowledge Graph Embedding with Hierarchical Ontology. - Yuhuan Lu; Weijian Yu; Xin Jing; Dingqi Yang (ACL (Findings), 2024)

Fetal Cardiac Structure Detection Using Multi-task Learning. - Jie He; Lei Yang 026; Yunping Zhu; Donglian Li; Zhixing Ding; Yuhuan Lu; Bocheng Liang; Shengli Li 001 (ICIC (LNBI 2), 2024)

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning. - Juncheng Guo; Jianxin Lin; Guanghua Tan; Yuhuan Lu; Zhan Gao; Shengli Li 001; Kenli Li 001 (MICCAI (5), 2024)

A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data. - Yan Kang 003; Luhan Peng; Jing Guo; Yuhuan Lu; Yun Yang 003; Baochen Fan; Bin Pu (IEEE Trans. Consumer Electron., 2024)

HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos. - Bin Pu; Kenli Li 001; Jianguo Chen 001; Yuhuan Lu; Qing Zeng 005; Jiewen Yang; Shengli Li 001 (IEEE J. Biomed. Health Informatics, 2024)

Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction. - Yuhuan Lu; Dingqi Yang; Pengyang Wang; Paolo Rosso; Philippe Cudré-Mauroux (IEEE Trans. Knowl. Data Eng., 2024)

Camera-Aware Differentiated Clustering With Focal Contrastive Learning for Unsupervised Vehicle Re-Identification. - Mingkai Qiu; Yuhuan Lu; Xiying Li; Qiang Lu (IEEE Trans. Circuits Syst. Video Technol., 2024)

SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease. - Yuhuan Lu; Guanghua Tan; Bin Pu; Hang Wang; Bocheng Liang; Kenli Li 001; Jagath C. Rajapakse (IEEE J. Biomed. Health Informatics, 2024)

Inter-Intra Cluster Reorganization for Unsupervised Vehicle Re-Identification. - Mingkai Qiu; Yuhuan Lu; Xiying Li; Qiang Lu (IEEE Trans. Intell. Transp. Syst., 2024)

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models. - Xin Jing; Yichen Jing; Yuhuan Lu; Bangchao Deng; Xueqin Chen; Dingqi Yang (AAAI, 2025)

Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving. - Yuhuan Lu; Zhen Zhang; Rufan Bai; Han Liu; Wei Wang (AAAI, 2025)

HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs. - Yuhuan Lu; Weijian Yu; Xin Jing; Dingqi Yang (ACL (1), 2025)

AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior. - Yuhuan Lu; Jintang Li; Jianxin Lin; Ying Yuan; Jagath C. Rajapakse; Ningbo Zhu; Chunlian Wang; Kenli Li 001 (ICASSP, 2025)

Spatio-temporal attention based collaborative local-global learning for traffic flow prediction. - Haiyang Chi; Yuhuan Lu; Can Xie; Wei Ke 001; Bidong Chen (Eng. Appl. Artif. Intell., 2025)

Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites. - Yuhuan Lu; Wei Wang 077; Rufan Bai; Shengwei Zhou 002; Lalit Garg; Ali Kashif Bashir; Weiwei Jiang; Xiping Hu (Inf. Fusion, 2025)

Lane Change Prediction for Autonomous Driving With Transferred Trajectory Interaction. - Yuhuan Lu; Pengpeng Xu; Xinyu Jiang; Ali Kashif Bashir; Thippa Reddy Gadekallu; Wei Wang 077; Xiping Hu (IEEE Trans. Intell. Transp. Syst., 2025)

VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs. - ChongIn Un; Yuhuan Lu; Tianyue Yang; Dingqi Yang (CoRR, 2025)

Optical Flow-Enhanced Mamba U-Net for Cardiac Phase Detection in Ultrasound Videos. - Yuhuan Lu; Guanghua Tan; Bin Pu; Pak-Hei Yeung; Hang Wang; Shengli Li 001; Jagath C. Rajapakse; Kenli Li 001 (IEEE Trans. Medical Imaging, 2025)

On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction. - Xin Jing; Yichen Jing; Yuhuan Lu; Bangchao Deng; Sikun Yang; Dingqi Yang (IEEE Trans. Knowl. Data Eng., 2025)