Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction - Xovee Xu; Ting Zhong; Fan Zhou; Rongfan Li; Goce Trajcevski; Qinggang Meng (IEEE Trans. Cybern., 2024)

High Detectivity of PbS Films Deposited on Quartz Substrates: The Role of Enhanced Photogenerated Carrier Separation - Quanjiang Lv; Rongfan Li; Liangchao Fan; Zhi Huang; Zhenyu Huan; Mingyang Yu; Haohua Li; Guiwu Liu; Guanjun Qiao; Junlin Liu (Sensors, 2023)

Landslide Displacement Prediction via Attentive Graph Neural Network - Ping Kuang; Rongfan Li; Ying Huang; Jin Wu; Xucheng Luo; Fan Zhou (Remote. Sens., 2022)

Dynamic Manifold Learning for Land Deformation Forecasting - Fan Zhou; Rongfan Li; Qiang Gao; Goce Trajcevski; Kunpeng Zhang; Ting Zhong (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

A Probabilistic Framework for Land Deformation Prediction (Student Abstract) - Rongfan Li; Fan Zhou; Goce Trajcevski; Kunpeng Zhang; Ting Zhong (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows - Ting Zhong; Haoyang Yu; Rongfan Li; Xovee Xu; Xucheng Luo; Fan Zhou (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning - Rongfan Li; Ting Zhong; Xinke Jiang; Goce Trajcevski; Jin Wu; Fan Zhou (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 2022)

Detecting Runtime Exceptions by Deep Code Representation Learning with Attention-Based Graph Neural Networks - Rongfan Li; Bihuan Chen; Fengyi Zhang; Chao Sun; Xin Peng (IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022, Honolulu, HI, USA, March 15-18, 2022, 2022)

A hybrid code representation learning approach for predicting method names - Fengyi Zhang; Bihuan Chen; Rongfan Li; Xin Peng (J. Syst. Softw., 2021)

Land Deformation Prediction via Slope-Aware Graph Neural Networks - Fan Zhou; Rongfan Li; Goce Trajcevski; Kunpeng Zhang (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)