The research for digitalization of four great classical literatures of traditional Chinese medicine knowledge for clinic use. - Yunfeng Dai; Yingrong Lao; Guofeng Xu; Yuanshen Zhou; Liheng Guo; Liu Qi; Xiaolan Yin; Shuang Yang; Yongzhu Liang; Meiyan Deng; Leyan Deng; Minzhou Zhang (BIBM, 2013)

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. - Moritz Neun; Christian Eichenberger; Henry Martin; Markus Spanring; Rahul Siripurapu; Daniel Springer; Leyan Deng; Chenwang Wu; Defu Lian; Min Zhou 006; Martin Lumiste; Andrei Ilie; et al. (NeurIPS (Competition and Demos), 2021)

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. - Leyan Deng; Defu Lian; Chenwang Wu; Enhong Chen (NeurIPS, 2022)

Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. - Leyan Deng; Chenwang Wu; Defu Lian; Min Zhou 006 (CoRR, 2022)

Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. - Leyan Deng; Defu Lian; Zhenya Huang; Enhong Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Markov-Driven Graph Convolutional Networks for Social Spammer Detection. - Leyan Deng; Chenwang Wu; Defu Lian; Yongji Wu; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

Learning from Highly Sparse Spatio-temporal Data. - Leyan Deng; Chenwang Wu; Defu Lian; Enhong Chen (NeurIPS, 2024)