Effect on Generalization of Using Relational Information in List-Wise Algorithms. - Guohua Chen; Yong Tang 001; Feiyi Tang; Shijin Ding; Chaobo He (ICPCA/SWS, 2012)

Link prediction based on time-varied weight in co-authorship network. - Shiping Huang; Yong Tang 001; Feiyi Tang; Jianguo Li (CSCWD, 2014)

3-Dimension Evaluation Method for Stock Investment Based on 2-Tuple Linguistic. - Luyao Teng; Xi Yang; Feiyi Tang; Shaohua Teng; Wei Zhang 005 (HCC, 2014)

A Collaborative and Adaptive Intrusion Detection Based on SVMs and Decision Trees. - Luyao Teng; Shaohua Teng; Feiyi Tang; Haibin Zhu 001; Wei Zhang 005; Dongning Liu; Lu Liang (ICDM Workshops, 2014)

SCHOLAT: An Innovative Academic Information Service Platform. - Feiyi Tang; Jia Zhu 003; Chaobo He; Chengzhou Fu; Jing He 004; Yong Tang 001 (ADC, 2016)

The Study and Application on Multi-dimension and Multi-layer Credit Scoring. - Luyao Teng; Wei Zhang 005; Feiyi Tang; Shaohua Teng; Xiufen Fu (HCC, 2016)

PARecommender: A Pattern-Based System for Route Recommendation. - Feiyi Tang; Jia Zhu 003; Yang Cao; Sanli Ma; Yulong Chen; Jing He 004; Changqin Huang; Gansen Zhao; Yong Tang 001 (IJCAI, 2016)

CogTime_RMF: regularized matrix factorization with drifting cognition degree for collaborative filtering. - Jiemin Chen; Feiyi Tang; Jing Xiao 005; Jianguo Li; Jing He 004; Yong Tang 001 (Clust. Comput., 2016)

Discovery of stop regions for understanding repeat travel behaviors of moving objects. - Guangyan Huang; Jing He 004; Wanlei Zhou 001; Guang-Li Huang; Limin Guo 002; Xiangmin Zhou; Feiyi Tang (J. Comput. Syst. Sci., 2016)

A study on the landscape of cancer disease researches using bibliometric methods and social network analysis. - Xueqin Lin; Jia Zhu 003; Yong Tang 001; Gabriel Pui Cheong Fung; Jin Huang 007; Changqin Huang; Feiyi Tang (CSCWD, 2017)

University Knowledge Graph Construction Based on Academic Social Network. - Yanzhen Yang; Jingsong Leng; Ronghua Lin; Jianguo Li; Feiyi Tang (ChineseCSCW (1), 2022)

Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes. - Weisheng Li; Feiyi Tang; Chao Chang 002; Hao Zhong 007; Ronghua Lin; Yong Tang 001 (WISE, 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)

Popularity-Aware Graph Neural Network with Global Context for Session-Based Recommendation. - Xiangwei Zeng; Chao Chang 002; Feiyi Tang; Zhengyang Wu 001; Yong Tang 001 (WISA, 2024)

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)

Dynamic Confidence Sampling and Label Semantic Guidance Learning for Domain Adaptive Retrieval. - Wei Zhang 005; KangBin Zhou; Luyao Teng; Feiyi Tang; NaiQi Wu; Shaohua Teng; Jian Li (IEEE Trans. Multim., 2024)

Kernel-Based Sparse Representation Learning With Global and Local Low-Rank Label Constraint. - Luyao Teng; Feiyi Tang; Zefeng Zheng; Peipei Kang; Shaohua Teng (IEEE Trans. Comput. Soc. Syst., 2024)

Gig: a knowledge-transferable-oriented framework for cross-domain recognition. - Luyao Teng; Feiyi Tang; Chao Chang 002; Zefeng Zheng; Junxian Li 005 (Multim. Syst., 2024)

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)