A Novel Combine Forecasting Method for Predicting News Update Time. - Mengmeng Wang; Xianglin Zuo; Wanli Zuo; Ying Wang 009 (J. Softw., 2012)

Web User Trust Relationship Prediction Based on Cloud Model. - Qian Zhang; Tianyi Zhang; Xianglin Zuo; Yuan Yao; Baoping Feng; Junhua Wang; Wanli Zuo (ICCC, 2013)

Subjective Bayes Method for Word Semantic Similarity Measurement. - Junhua Wang; Xianglin Zuo; Wanli Zuo; Tao Peng 003 (ICDM Workshops, 2013)

Microblog Comments Sentiment Analysis Based on Extended Emotional Lexicon. - Xu-Ming Wang; Wanli Zuo; Ying Wang 009; Xianglin Zuo (ICICA (1), 2013)

Exploring Uncertainty Methods for Centrality Analysis in Social Networks. - Xianglin Zuo; Bo Yang 002; Wanli Zuo (ICDM Workshops, 2017)

Trust-Distrust Aware Recommendation by Integrating Metric Learning with Matrix Factorization. - Xianglin Zuo; Xing Wei; Bo Yang 002 (KSEM (2), 2018)

Coupled Low Rank Approximation for Collaborative Filtering in Social Networks. - Xianglin Zuo; Xueyan Liu 001; Bo Yang 002 (IEEE Access, 2018)

Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention. - Xing Wei; Xianglin Zuo; Bo Yang 002 (KSEM (1), 2019)

A Review of Dataset and Labeling Methods for Causality Extraction. - Jinghang Xu; Wanli Zuo; Shining Liang; Xianglin Zuo (COLING, 2020)

IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units. - Zhenkun Shi; Wanli Zuo; Shining Liang; Xianglin Zuo; Lin Yue; Xue Li 001 (IEEE Access, 2020)

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. - Shining Liang; Ming Gong 001; Jian Pei 001; Linjun Shou; Wanli Zuo; Xianglin Zuo; Daxin Jiang (KDD, 2021)

Deep dynamic imputation of clinical time series for mortality prediction. - Zhenkun Shi; Sen Wang 001; Lin Yue; Lixin Pang; Xianglin Zuo; Wanli Zuo; Xue Li 001 (Inf. Sci., 2021)

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. - Shining Liang; Linjun Shou; Jian Pei 001; Ming Gong 001; Wanli Zuo; Xianglin Zuo; Daxin Jiang (EMNLP, 2022)

Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. - Shining Liang; Linjun Shou; Jian Pei 001; Ming Gong 001; Wanli Zuo; Xianglin Zuo; Daxin Jiang (CoRR, 2022)

A Word-Granular Adversarial Attacks Framework for Causal Event Extraction. - Yu Zhao; Wanli Zuo; Shining Liang; Xiaosong Yuan; Yijia Zhang 003; Xianglin Zuo (Entropy, 2022)

A multi-level neural network for implicit causality detection in web texts. - Shining Liang; Wanli Zuo; Zhenkun Shi; Sen Wang 001; Junhu Wang; Xianglin Zuo (Neurocomputing, 2022)

Hierarchical recurrent neural networks for graph generation. - Song Xianduo; Xin Wang 035; Yuyuan Song; Xianglin Zuo; Ying Wang 009 (Inf. Sci., 2022)

Towards Improving Causality Mining using BERT with Multi-level Feature Networks. - Wajid Ali; Wanli Zuo; Rahman Ali; Gohar Rahman; Xianglin Zuo; Inam Ullah 002 (KSII Trans. Internet Inf. Syst., 2022)

Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks. - Xianglin Zuo; Tianhao Jia; Xin He 003; Bo Yang; Ying Wang 009 (Entropy, 2022)

Dynamic item feature modeling for rating prediction in recommender systems. - Xianglin Zuo; Shining Liang; Xiaosong Yuan; Shuang Yu; Bo Yang (Neurocomputing, 2023)

Exploring graph capsual network and graphormer for graph classification. - Xianglin Zuo; Hao Yuan; Bo Yang; Hongji Wang; Ying Wang 009 (Inf. Sci., 2023)

Generating real-world hypergraphs via deep generative models. - Xianglin Zuo; Wenqi Chen; Song Xianduo; Xin Wang 035; Ying Wang 009 (Inf. Sci., 2023)

Event prediction model combining ordinary differential equation and hypernetworks. - Ying Wang; Xianglin Zuo; Xinglin Liu; Fuyuan Ma; Junhe Zhang; Bo Yang (Neural Networks, 2025)