Ontology Combined Based on the Social Network Information. - Zhengyang Wu 001; Yong Tang 001; Shaowen Hong; Chengzhe Yuan; Huiqiang Mai (HCC, 2014)

Cross-Platform Instant Messaging System. - Chengzhou Fu; Yong Tang 001; Chengzhe Yuan; Yuying Xu (IEEE WISA, 2015)

Survey on Android Applications Security. - Chengzhou Fu; Chang Huang; Yong Tang 001; Weiquan Zeng; Dahao Wang; Chengzhe Yuan (HCC, 2016)

基于标签相似度计算的学术圈构建方法 (Construction Method of Academic Circle Based on Label Similarity Computation). - Chengzhou Fu; Yong Tang 001; Chaobo He; Jinling Wang; Chengzhe Yuan (计算机科学, 2016)

A Novel Pre-fetching Strategy of Memory Object Caching System. - Jiwei Liu; Dingding Li; Chengzhe Yuan; Hai Liu 006; Yang Tang (ChineseCSCW, 2017)

Citation Based Collaborative Summarization of Scientific Publications by a New Sentence Similarity Measure. - Chengzhe Yuan; Dingding Li; Jia Zhu 003; Yong Tang 001; Shahbaz Hassan Wasti; Chaobo He; Hai Liu 006; Ronghua Lin (CollaborateCom, 2017)

Implementation of Academic News Recommendation System Based on User Profile and Message Semantics. - Weiling Li; Yong Tang 001; Guohua Chen; Danyang Xiao; Chengzhe Yuan (ISICA (1), 2017)

Course Recommendation Model in Academic Social Networks Based on Association Rules and Multi -similarity. - Xiaoxian Huang; Yong Tang 001; Rong Qu; Chunying Li; Chengzhe Yuan; Saimei Sun; Bixia Xu (CSCWD, 2018)

Scholar Knowledge Graph and Its Application in Scholar Encyclopedia. - Kun Hu; Jianguo Li; Wande Chen; Chengzhe Yuan; Qiang Xu; Yong Tang (ChineseCSCW, 2020)

Personalized Recommendation Based on Scholars' Similarity and Trust Degree. - Lunjie Qiu; Chengzhe Yuan; Jianguo Li; Shanchun Lian; Yong Tang (ChineseCSCW, 2020)

Incorporating word attention with convolutional neural networks for abstractive summarization. - Chengzhe Yuan; Zhifeng Bao; Mark Sanderson; Yong Tang 001 (World Wide Web, 2020)

SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information. - Ronghua Lin; Yong Tang 001; Chengzhe Yuan; Chaobo He; Weisheng Li (ChineseCSCW (2), 2021)

Academic Article Classification Algorithm Based on Pre-trained Model and Keyword Extraction. - Zekai Zhou; Dongyang Zheng; Zihan Qiu; Ronghua Lin; Zhengyang Wu 001; Chengzhe Yuan (ChineseCSCW (2), 2021)

An Improved Community Detection Algorithm via Fusing Topology and Attribute Information. - Qing Xu; Lunjie Qiu; Ronghua Lin; Yong Tang 001; Chaobo He; Chengzhe Yuan (CSCWD, 2021)

Convolutional Self-attention Network for Sequential Recommendation. - Yichong Hu; Liantao Lan; Ronghua Lin; Chengzhe Yuan; Yong Tang 001 (ChineseCSCW (1), 2022)

Card Mini Program Design and Implementation Based on SCHOLAT Social Network. - Guoqiang Liu; Junming Zhou; Yu Weng; Lu Yu; Chengzhe Yuan (ChineseCSCW (2), 2023)

Informative Anchor-Enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-Based Recommendation. - Ronghua Lin; Luyao Teng; Feiyi Tang; Hao Zhong 007; Chengzhe Yuan; Chengjie Mao (WISE, 2023)

Prompt-Learning for Semi-supervised Text Classification. - Chengzhe Yuan; Zekai Zhou; Feiyi Tang; Ronghua Lin; Chengjie Mao; Luyao Teng (WISE, 2023)

DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning. - Ronghua Lin; Feiyi Tang; Chaobo He; Zhengyang Wu 001; Chengzhe Yuan; Yong Tang 001 (World Wide Web (WWW), 2023)

Exploring Named Entity Recognition via MacBERT-BiGRU and Global Pointer with Self-Attention. - Chengzhe Yuan; Feiyi Tang; Chun Shan; Weiqiang Shen; Ronghua Lin; Chengjie Mao; Junxian Li (Big Data Cogn. Comput., 2024)

Motif and supernode-enhanced gated graph neural networks for session-based recommendation. - Ronghua Lin; Chang Liu 003; Hao Zhong 007; Chengzhe Yuan; Guohua Chen; Yuncheng Jiang; Yong Tang 001 (Neural Networks, 2025)

DeHier: decoupled and hierarchical graph neural networks for multi-interest session-based recommendation. - Ronghua Lin; Feiyi Tang; Chengzhe Yuan; Hao Zhong 007; Weisheng Li; Yong Tang 001 (World Wide Web (WWW), 2025)