When LPWAN Meets ITS: Evaluation of Low Power Wide Area Networks for V2X Communications. - Yuke Li; Linyao Yang; Shuangshuang Han; Xiao Wang 002; Fei-Yue Wang 001 (ITSC, 2018)

LoRa on the Move: Performance Evaluation of LoRa in V2X Communications. - Yuke Li; Shuangshuang Han; Linyao Yang; Fei-Yue Wang 001; Hui Zhang 001 (Intelligent Vehicles Symposium, 2018)

Parallel Internet of Vehicles: ACP-Based System Architecture and Behavioral Modeling. - Xiao Wang 002; Shuangshuang Han; Linyao Yang; Tingting Yao; Lingxi Li 001 (IEEE Internet Things J., 2020)

Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant. - Linyao Yang; Xiao Wang 002; Jun Jason Zhang; Min Zhou 003; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2020)

HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning. - Linyao Yang; Xiao Wang 002; Yuxin Dai; Kejun Xin; Xiaolong Zheng 001; Weiping Ding 001; Jun Zhang 040; Fei-Yue Wang 001 (Knowl. Based Syst., 2021)

An IVC-Based Nuclear Emergency Parallel Evacuation System. - Ke Tan; Linyao Yang; Xin Liu 022; Yancai Xu; Jiazhen Lin; Xiao Wang 002; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs. - Linyao Yang; Chen Lv; Xiao Wang 002; Ji Qiao; Weiping Ding 001; Jun Zhang 040; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2022)

Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems. - Xiao Wang 002; Yushan Zhu; Shuangshuang Han; Linyao Yang; Haixia Gu; Fei-Yue Wang 001 (IEEE Internet Things J., 2022)

Aligning Contrastive Clusters for Cross-Network Node Classification. - Linyao Yang; Hongyang Chen; Xiao Wang 014 (ICDM (Workshops), 2023)

Parallel Reasoning Based on ACP Method for Power Grid Dispatching. - Yancai Xu; Linyao Yang; Fenghua Zhu; Xiao Wang 002; Fei-Yue Wang 001 (SMC, 2023)

ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling. - Linyao Yang; Hongyang Chen; Zhao Li 007; Xiao Ding; Xindong Wu 001 (CoRR, 2023)

HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment. - Linyao Yang; Xiao Wang 002; Jun Zhang 040; Jun Yang 019; Yancai Xu; Jiachen Hou; Kejun Xin; Feiyue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Open-Set Entity Alignment using Large Language Models with Retrieval Augmentation. - Linyao Yang; Hongyang Chen; Xiao Wang 002; Yisheng Lv; Yonglin Tian; Xingyuan Dai; Fei-Yue Wang 001 (SMC, 2024)

Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment. - Linyao Yang; Hongyang Chen; Xiao Wang 014; Jing Yang 044; Fei-Yue Wang 001; Han Liu 008 (CoRR, 2024)

TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems. - Jing Yang 044; Yu Zhao; Linyao Yang; Xiao Wang 002; Long Chen 005; Fei-Yue Wang 001 (CoRR, 2024)

GQWformer: A Quantum-based Transformer for Graph Representation Learning. - Lei Yu; Hongyang Chen; Jingsong Lv; Linyao Yang (CoRR, 2024)

Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling. - Linyao Yang; Hongyang Chen; Zhao Li 007; Xiao Ding; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Exploring Latent Transferability of feature components. - Zhengshan Wang; Long Chen; Juan He; Linyao Yang; Fei-Yue Wang 001 (Pattern Recognit., 2025)

Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges. - Linyao Yang; Shi Luo; Xi Cheng; Lei Yu (CoRR, 2025)

Integrating knowledge from knowledge graphs and large language models for explainable entity alignment. - Linyao Yang; Hongyang Chen; Xiao Wang 002; Jing Yang 044; Fei-Yue Wang 001; Han Liu 008 (Inf. Fusion, 2026)