Tengfei Lyu

Orcid: 0000-0002-2158-0740

According to our database1, Tengfei Lyu authored at least 22 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications.
CoRR, July, 2025

Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting.
CoRR, June, 2025

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning.
CoRR, May, 2025

A Survey and Tutorial of Redundancy Mitigation for Vehicular Cooperative Perception: Standards, Strategies and Open Issues.
CoRR, January, 2025

Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks.
Int. J. Data Min. Bioinform., 2025

Accuracy and Relevance: A Value of Information based Prioritisation of Perceived Objects for the ETSI Collective Perception Service.
Proceedings of the IEEE Vehicular Networking Conference, 2025

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
Graph neural architecture prediction.
Knowl. Inf. Syst., January, 2024

CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection.
IEEE Trans. Emerg. Top. Comput., 2024

AutoTGRL: an automatic text-graph representation learning framework.
Neural Comput. Appl., 2024

A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting.
CoRR, 2024

Semantic Vehicle-to-Everything (V2X) Communications Towards 6G.
CoRR, 2024

2023
GM2NAS: multitask multiview graph neural architecture search.
Knowl. Inf. Syst., October, 2023

Neural predictor-based automated graph classifier framework.
Mach. Learn., April, 2023

AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework.
IEEE Trans. Parallel Distributed Syst., 2022

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
GraphPAS: Parallel Architecture Search for Graph Neural Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020


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