Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data. - Yuan Jin; Lan Du 002; Longxiang Gao; Yong Xiang 001; Yunfeng Li; Ruohua Xu (CoRR, 2019)

Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering. - Yuan Jin; He Zhao 001; Ming Liu 028; Lan Du 002; Yunfeng Li; Ruohua Xu; Longxiang Gao (CoRR, 2020)

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data. - Yuan Jin; Ming Liu 028; Yunfeng Li; Ruohua Xu; Lan Du 002; Longxiang Gao; Yong Xiang 001 (Data Min. Knowl. Discov., 2021)

Overview of NLPCC2022 Shared Task 5 Track 1: Multi-label Classification for Scientific Literature. - Ming Liu 028; He Zhang 012; Yangjie Tian; Tianrui Zong; Borui Cai; Ruohua Xu; Yunfeng Li (NLPCC (2), 2022)

Recent Advances in Hierarchical Multi-label Text Classification: A Survey. - Rundong Liu; Wenhan Liang; Weijun Luo; Yuxiang Song; He Zhang 012; Ruohua Xu; Yunfeng Li; Ming Liu 028 (CoRR, 2023)

Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation. - Yangjie Tian; Xungang Gu; Aijia Li; He Zhang 012; Ruohua Xu; Yunfeng Li; Ming Liu 028 (NLPCC (5), 2024)