MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. - Jianliang Gao; Tengfei Lyu; Fan Xiong; Jianxin Wang 001; Weimao Ke; Zhao Li 007 (SIGIR, 2020)

Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning. - Jiamin Chen; Jianliang Gao; Tengfei Lyu; Babatounde Moctard Oloulade; Xiaohua Hu 001 (BIBM, 2021)

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. - Tengfei Lyu; Jianliang Gao; Ling Tian; Zhao Li 007; Peng Zhang 001; Ji Zhang 001 (IJCAI, 2021)

GraphPAS: Parallel Architecture Search for Graph Neural Networks. - Jiamin Chen; Jianliang Gao; Yibo Chen; Babatounde Moctard Oloulade; Tengfei Lyu; Zhao Li 007 (SIGIR, 2021)

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. - Jianliang Gao; Tengfei Lyu; Fan Xiong; Jianxin Wang 001; Weimao Ke; Zhao Li 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Auto-GNAS: A Parallel Graph Neural Architecture Search Framework. - Jiamin Chen; Jianliang Gao; Yibo Chen; Babatounde Moctard Oloulade; Tengfei Lyu; Zhao Li 007 (IEEE Trans. Parallel Distributed Syst., 2022)

Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction. - Raeed Al-Sabri; Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Tengfei Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction. - Jiamin Chen; Jianliang Gao; Tengfei Lyu; Babatounde Moctard Oloulade; Xiaohua Hu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Neural predictor-based automated graph classifier framework. - Babatounde Moctard Oloulade; Jianliang Gao; Jiamin Chen; Raeed Al-Sabri; Tengfei Lyu (Mach. Learn., 2023)

GM2NAS: multitask multiview graph neural architecture search. - Jianliang Gao; Raeed Al-Sabri; Babatounde Moctard Oloulade; Jiamin Chen; Tengfei Lyu; Zhenpeng Wu (Knowl. Inf. Syst., 2023)

Semantic Vehicle-to-Everything (V2X) Communications Towards 6G. - Tengfei Lyu; Md. Noor-A-Rahim; Aisling O'Driscoll; Dirk Pesch (CoRR, 2024)

A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting. - Tengfei Lyu; Jindong Han; Hao Liu 026 (CoRR, 2024)

AutoTGRL: an automatic text-graph representation learning framework. - Raeed Al-Sabri; Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Tengfei Lyu (Neural Comput. Appl., 2024)

CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection. - Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Raeed Al-Sabri; Tengfei Lyu; Ji Zhang 001; Zhao Li 007 (IEEE Trans. Emerg. Top. Comput., 2024)

Graph neural architecture prediction. - Jianliang Gao; Babatounde Moctard Oloulade; Raeed Al-Sabri; Jiamin Chen; Tengfei Lyu; Zhenpeng Wu (Knowl. Inf. Syst., 2024)

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. - Tengfei Lyu; Weijia Zhang 003; Jinliang Deng; Hao Liu 026 (KDD (1), 2025)

Accuracy and Relevance: A Value of Information based Prioritisation of Perceived Objects for the ETSI Collective Perception Service. - Tengfei Lyu; Shuo Li; Florian A. Schiegg; Md. Noor-A-Rahim; Dirk Pesch; Aisling O'Driscoll (VNC, 2025)

Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks. - Xiaomin Shen; Jianliang Gao; Tengfei Lyu; Jiamin Chen; Jiarun Zhang; Jing He 001; Zhao Li 007; Wei Yu (Int. J. Data Min. Bioinform., 2025)

A Survey and Tutorial of Redundancy Mitigation for Vehicular Cooperative Perception: Standards, Strategies and Open Issues. - Tengfei Lyu; Md. Noor-A-Rahim; Dirk Pesch; Aisling O'Driscoll (CoRR, 2025)

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning. - Tengfei Lyu; Siyuan Feng; Hao Liu; Hai Yang (CoRR, 2025)

Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting. - Tengfei Lyu; Weijia Zhang; Hao Liu (CoRR, 2025)

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications. - Jindong Han; Yansong Ning; Zirui Yuan; Hang Ni; Fan Liu; Tengfei Lyu; Hao Liu 026 (CoRR, 2025)