LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks. - Rongzhou Huang; Chuyin Huang; Yubao Liu; Genan Dai; Weiyang Kong (IJCAI, 2020)

LTPHM: Long-term Traffic Prediction based on Hybrid Model. - Chuyin Huang; Weiyang Kong; Genan Dai; Yubao Liu (CIKM, 2021)

Self-adaptive Graph Neural Networks for Personalized Sequential Recommendation. - Yansen Zhang; Chenhao Hu; Genan Dai; Weiyang Kong; Yubao Liu (ICONIP (2), 2021)

Modeling User's Neutral Feedback in Conversational Recommendation. - Xizhe Li; Chenhao Hu; Weiyang Kong; Sen Zhang; Yubao Liu (ICONIP (4), 2023)

Disentangled Contrastive Learning for Knowledge-Aware Recommender System. - Shuhua Huang; Chenhao Hu; Weiyang Kong; Yubao Liu (ISWC, 2023)

An Efficient Dynamic Programming Algorithm for Finding Group Steiner Trees in Temporal Graphs. - Youming Ge; Zitong Chen; Weiyang Kong; Yubao Liu; Raymond Chi-Wing Wong; Sen Zhang (Int. J. Intell. Syst., 2023)

Multi-perspective convolutional neural networks for citywide crowd flow prediction. - Genan Dai; Weiyang Kong; Yubao Liu; Youming Ge; Sen Zhang (Appl. Intell., 2023)

Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting. - Weiyang Kong; Ziyu Guo; Yubao Liu (AAAI, 2024)

Grouped Graph Neural Networks for Anomaly Detection in Time Series. - Ziyu Guo; Weiyang Kong; Yubao Liu (IJCNN, 2024)

Unsupervised social network embedding via adaptive specific mappings. - Youming Ge; Cong Huang; Yubao Liu; Sen Zhang; Weiyang Kong (Frontiers Comput. Sci., 2024)

Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction. - Genan Dai; Weiyang Kong; Yubao Liu; Bowen Zhang 005; Xiaojiang Peng; Xiaomao Fan; Hu Huang 009 (ACM Trans. Intell. Syst. Technol., 2025)

GraphSparseNet: a Novel Method for Large Scale Trafffic Flow Prediction. - Weiyang Kong; Kaiqi Wu; Sen Zhang; Yubao Liu (Proc. VLDB Endow., 2025)

Regularized Adaptive Graph Learning for Large-Scale Traffic Forecasting. - Kaiqi Wu; Weiyang Kong; Sen Zhang; Yubao Liu; Zitong Chen (CoRR, 2025)