Learning trajectories as words: a probabilistic generative model for destination prediction. - Yuhuan Lu 001; Zhaocheng He; Liangkui Luo (MobiQuitous, 2019)

Clarifying Origin-Destination Flows Using Force-Directed Edge Bundling Layout. - Liangkui Luo; Zhaocheng He; Yuhuan Lu 001; Jinyong Chen (IEEE Access, 2020)

City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling. - Yimin Wang; Yixian Chen 001; Guilong Li; Yuhuan Lu 001; Zhi Yu; Zhaocheng He (CoRR, 2021)

Dual attentive graph neural network for metro passenger flow prediction. - Yuhuan Lu 001; 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 001; Zhaocheng He; Yixian Chen 001 (Sensors, 2022)

HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs. - Yuhuan Lu 001; Bangchao Deng; Weijian Yu; Dingqi Yang (ACM Multimedia, 2023)

Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks. - Yuhuan Lu 001; 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 001; 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 001; Weijian Yu; Xin Jing 003; Dingqi Yang (ACL (Findings), 2024)

Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction. - Yuhuan Lu 001; 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 001; Xiying Li; Qiang Lu 009 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Inter-Intra Cluster Reorganization for Unsupervised Vehicle Re-Identification. - Mingkai Qiu; Yuhuan Lu 001; Xiying Li; Qiang Lu 009 (IEEE Trans. Intell. Transp. Syst., 2024)

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models. - Xin Jing 003; Yichen Jing; Yuhuan Lu 001; Bangchao Deng; Xueqin Chen; Dingqi Yang (AAAI, 2025)

Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving. - Yuhuan Lu 001; Zhen Zhang; Rufan Bai; Han Liu 008; Wei Wang 077 (AAAI, 2025)

HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs. - Yuhuan Lu 001; Weijian Yu; Xin Jing 003; Dingqi Yang (ACL (1), 2025)

Spatio-temporal attention based collaborative local-global learning for traffic flow prediction. - Haiyang Chi; Yuhuan Lu 001; 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 001; Wei Wang 077; Rufan Bai; Shengwei Zhou 002; Lalit Garg; Ali Kashif Bashir; Weiwei Jiang; Xiping Hu (Inf. Fusion, 2025)

Dynamic spatiotemporal graph convolutional network collaborative pre-training learning for traffic flow prediction. - Haiyang Chi; Yuhuan Lu 001; Yirong Zhu; Wei Ke 001; Hanbin Mao (Knowl. Based Syst., 2025)

Lane Change Prediction for Autonomous Driving With Transferred Trajectory Interaction. - Yuhuan Lu 001; 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 001; Tianyue Yang; Dingqi Yang (CoRR, 2025)

Knowledge-Driven Lane Change Prediction for Secure and Reliable Internet of Vehicles. - Yuhuan Lu 001; Zhen Zhang; Wei Wang 077; Yiting Zhu; Tiantian Chen; Yasser D. Al-Otaibi; Ali Kashif Bashir; Xiping Hu (IEEE Trans. Intell. Transp. Syst., 2025)

On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction. - Xin Jing 003; Yichen Jing; Yuhuan Lu 001; Bangchao Deng; Sikun Yang; Dingqi Yang (IEEE Trans. Knowl. Data Eng., 2025)

KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving. - Yuhuan Lu 001; Pengpeng Xu; Wei Wang 077; Zhen Zhang; Han Liu 008; Xiping Hu (AAAI, 2026)

Modeling Multimodal Information Cascade on Social Media with Interpretable Mixture of Experts. - Xin Jing 003; Zeyu Shi; Zhangtao Cheng; Yichen Jing; Yuhuan Lu 001; Bangchao Deng; Dingqi Yang (WWW, 2026)

SIM-IBN: Surgical Event Time Imputation in Intent-Based Networking for Internet of Medical Things. - Yixian Chen 001; Zhaocheng He; Sen Deng; You Zhou; Ali Kashif Bashir; Norah Saleh Alghamdi; Lin Yao 001; Yuhuan Lu 001; Wei Wang 077 (IEEE Internet Things J., 2026)

THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs. - Weijian Yu; Yuhuan Lu 001; Dingqi Yang (CoRR, 2026)

AffectSeek: Agentic Affective Understanding in Long Videos under Vague User Queries. - Zhen Zhang; Yuhang Yang; Yunxiang Jiang; Yuhuan Lu 001; Haifeng Lu; Zheng Lian; Runhao Zeng; Xiping Hu (CoRR, 2026)