2025
- AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
Tengfei Lyu, Weijia Zhang, Jinliang Deng, and Hao Liu.
The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025, CCF A).
[paper] [arXiv] [code]
2024
- Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Tengfei Lyu, Hao Liu and Hui Xiong
arXiv preprint arXiv:2402.01749
[paper] [github]
2023
- CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection
Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Raeed Al-Sabri, Tengfei Lyu, …
IEEE Transactions on Emerging Topics in Computing (TETC 2023, JCR Q1).
[paper]
Graph neural architecture prediction
Jianliang Gao, Babatounde Moctard Oloulade, Raeed Al-Sabri, Jiamin Chen, Tengfei Lyu, zhenpeng Wu.
Knowledge and Information Systems (KIS 2023, CCF B, JCR Q1).
[paper]GM2NAS: multitask multiview graph neural architecture search
Jianliang Gao, Raeed Al-Sabri, Babatounde Moctard Oloulade, Jiamin Chen, Tengfei Lyu, Zhenpeng Wu.
Knowledge and Information Systems (KIS 2023, CCF B, JCR Q1).
[paper]Neural predictor-based automated graph classifier framework
Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Tengfei Lyu.
Machine Learning (Machine Learning 2023, CCF B, JCR Q1).
[paper]
2022
Auto-GNAS: A parallel graph neural architecture search framework
Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li.
IEEE Transactions on Parallel and Distributed Systems (TPDS 2022, CCF A, JCR Q1).
[paper] [code]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 Transactions on Computational Biology and Bioinformatics (TCBB 2022, CCF B, JCR Q1).
[paper]AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction
Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde Moctard Oloulade, Xiaohua Hu.
IEEE-ACM Transactions on Computational Biology and Bioinformatics (TCBB 2022, CCF B, JCR Q1).
[paper] [code]
2021
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events
Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang and Ji Zhang.
The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021, CCF A).
[paper] [poster] [slides]Predicting the Survival of Cancer Patients with Multimodal Graph Neural Network
Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke and Zhao Li. (First Student Author)
IEEE-ACM Transactions on Computational Biology and Bioinformatics (TCBB 2021, CCF B, JCR Q1).
[paper]Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning
Jiamin Chen, Jianliang Gao, Tengfei Lyu, Babatounde Moctard Oloulade, and Xiaohua Hu
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2021, CCF B).
[paper] [code]
GraphPAS: Parallel Architecture Search for Graph Neural Networks
Jiamin Chen, Jianliang Gao, Yibo Chen, Moctard Babatounde Oloulade, Tengfei Lyu and Zhao Li.
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021, CCF A).
[paper] [code]Graph Neural Architecture Search: A Survey
BABATOUNDE OLOULADE, Jianliang Gao, Jiamin Chen, Tengfei Lyu, Raeed Al-Sabri.
Tsinghua Science and Technology (TST 2021, JCR Q1).
[paper]
2020
- MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients
Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke and Zhao Li. (First Student Author)
The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020, CCF A).
[paper] [slides]
2019
- Protein2Vec: Aligning Multiple PPI Networks with Representation Learning
Jianliang Gao, Ling Tian, Tengfei Lv Jianxin Wang, Bo Song and Xiaohua Hu.
IEEE-ACM Transactions on Computational Biology and Bioinformatics (TCBB 2019, CCF B, JCR Q1).
[paper]