Yuhuan Lu

According to our database, Yuhuan Lu authored at least 27 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AffectSeek: Agentic Affective Understanding in Long Videos under Vague User Queries.

Zhen Zhang, Yuhang Yang, Yunxiang Jiang, Yuhuan Lu, Haifeng Lu, Zheng Lian, Runhao Zeng, Xiping Hu

CoRR, May, 2026

THOR: Inductive Link Prediction over Hyper-Relational Knowledge Graphs.

Weijian Yu, Yuhuan Lu, Dingqi Yang

CoRR, February, 2026

SIM-IBN: Surgical Event Time Imputation in Intent-Based Networking for Internet of Medical Things.

Yixian Chen, Zhaocheng He, Sen Deng, You Zhou, Ali Kashif Bashir, Norah Saleh Alghamdi, Lin Yao, Yuhuan Lu, Wei Wang

IEEE Internet Things J., 2026

Modeling Multimodal Information Cascade on Social Media with Interpretable Mixture of Experts.

Xin Jing, Zeyu Shi, Zhangtao Cheng, Yichen Jing, Yuhuan Lu, Bangchao Deng, Dingqi Yang

Proceedings of the ACM Web Conference 2026, 2026

KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving.

Yuhuan Lu, Pengpeng Xu, Wei Wang, Zhen Zhang, Han Liu, Xiping Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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., September, 2025

Knowledge-Driven Lane Change Prediction for Secure and Reliable Internet of Vehicles.

Yuhuan Lu, Zhen Zhang, Wei Wang, Yiting Zhu, Tiantian Chen, Yasser D. Al-Otaibi, Ali Kashif Bashir, Xiping Hu

IEEE Trans. Intell. Transp. Syst., September, 2025

VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs.

ChongIn Un, Yuhuan Lu, Tianyue Yang, Dingqi Yang

CoRR, May, 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, Xiping Hu

IEEE Trans. Intell. Transp. Syst., April, 2025

Dynamic spatiotemporal graph convolutional network collaborative pre-training learning for traffic flow prediction.

Haiyang Chi, Yuhuan Lu, Yirong Zhu, Wei Ke, Hanbin Mao

Knowl. Based Syst., 2025

Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites.

Yuhuan Lu, Wei Wang, Rufan Bai, Shengwei Zhou, Lalit Garg, Ali Kashif Bashir, Weiwei Jiang, Xiping Hu

Inf. Fusion, 2025

Spatio-temporal attention based collaborative local-global learning for traffic flow prediction.

Haiyang Chi, Yuhuan Lu, Can Xie, Wei Ke, Bidong Chen

Eng. Appl. Artif. Intell., 2025

HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs.

Yuhuan Lu, Weijian Yu, Xin Jing, Dingqi Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving.

Yuhuan Lu, Zhen Zhang, Rufan Bai, Han Liu, Wei Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Inter-Intra Cluster Reorganization for Unsupervised Vehicle Re-Identification.

Mingkai Qiu, Yuhuan Lu, Xiying Li, Qiang Lu

IEEE Trans. Intell. Transp. Syst., December, 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., October, 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., June, 2024

HyperCL: A Contrastive Learning Framework for Hyper-Relational Knowledge Graph Embedding with Hierarchical Ontology.

Yuhuan Lu, Weijian Yu, Xin Jing, Dingqi Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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., November, 2023

Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks.

Yuhuan Lu, Wei Wang, Xiping Hu, Pengpeng Xu, Shengwei Zhou, Ming Cai

IEEE Trans. Intell. Transp. Syst., August, 2023

HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs.

Yuhuan Lu, Bangchao Deng, Weijian Yu, Dingqi Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Online Trajectory Estimation Based on a Network-Wide Cellular Fingerprint Map.

Langqiao Chen, Yuhuan Lu, Zhaocheng He, Yixian Chen

Sensors, 2022

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

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

2020

Clarifying Origin-Destination Flows Using Force-Directed Edge Bundling Layout.

Liangkui Luo, Zhaocheng He, Yuhuan Lu, Jinyong Chen

IEEE Access, 2020

2019

Learning trajectories as words: a probabilistic generative model for destination prediction.

Yuhuan Lu, Zhaocheng He, Liangkui Luo

Proceedings of the MobiQuitous 2019, 2019