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2020 – today
- 2025
[j7]Ronghua Lin, Feiyi Tang, Chengzhe Yuan, Hao Zhong, Weisheng Li, Yong Tang:
DeHier: decoupled and hierarchical graph neural networks for multi-interest session-based recommendation. World Wide Web (WWW) 28(1): 1 (2025)- 2024
- [j6]Luyao Teng, Feiyi Tang, Chao Chang, Zefeng Zheng, Junxian Li:
Gig: a knowledge-transferable-oriented framework for cross-domain recognition. Multim. Syst. 30(6): 354 (2024) - [j5]Luyao Teng
, Feiyi Tang, Zefeng Zheng, Peipei Kang, Shaohua Teng:
Kernel-Based Sparse Representation Learning With Global and Local Low-Rank Label Constraint. IEEE Trans. Comput. Soc. Syst. 11(1): 488-502 (2024) - [j4]Wei Zhang, KangBin Zhou, Luyao Teng, Feiyi Tang, NaiQi Wu, Shaohua Teng, Jian Li:
Dynamic Confidence Sampling and Label Semantic Guidance Learning for Domain Adaptive Retrieval. IEEE Trans. Multim. 26: 2467-2479 (2024) - [c13]Xiangwei Zeng, Chao Chang, Feiyi Tang, Zhengyang Wu, Yong Tang:
Popularity-Aware Graph Neural Network with Global Context for Session-Based Recommendation. WISA 2024: 163-171 - 2023
- [j3]Ronghua Lin, Feiyi Tang, Chaobo He, Zhengyang Wu, Chengzhe Yuan, Yong Tang:
DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning. World Wide Web (WWW) 26(5): 2471-2493 (2023) - [c12]Chengzhe Yuan, Zekai Zhou, Feiyi Tang, Ronghua Lin, Chengjie Mao, Luyao Teng:
Prompt-Learning for Semi-supervised Text Classification. WISE 2023: 24-34 - [c11]Weisheng Li, Feiyi Tang, Chao Chang, Hao Zhong, Ronghua Lin, Yong Tang:
Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes. WISE 2023: 425-438 - [c10]Ronghua Lin, Luyao Teng, Feiyi Tang, Hao Zhong, Chengzhe Yuan, Chengjie Mao:
Informative Anchor-Enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-Based Recommendation. WISE 2023: 579-593 - 2022
- [c9]Yanzhen Yang, Jingsong Leng, Ronghua Lin, Jianguo Li, Feiyi Tang:
University Knowledge Graph Construction Based on Academic Social Network. ChineseCSCW (1) 2022: 162-172
2010 – 2019
- 2017
- [c8]Xueqin Lin, Jia Zhu, Yong Tang, Gabriel Pui Cheong Fung, Jin Huang, Changqin Huang, Feiyi Tang:
A study on the landscape of cancer disease researches using bibliometric methods and social network analysis. CSCWD 2017: 239-244 - 2016
- [j2]Jiemin Chen, Feiyi Tang, Jing Xiao, Jianguo Li, Jing He, Yong Tang:
CogTime_RMF: regularized matrix factorization with drifting cognition degree for collaborative filtering. Clust. Comput. 19(2): 821-835 (2016) - [j1]Guangyan Huang, Jing He, Wanlei Zhou, Guang-Li Huang, Limin Guo, Xiangmin Zhou, Feiyi Tang:
Discovery of stop regions for understanding repeat travel behaviors of moving objects. J. Comput. Syst. Sci. 82(4): 582-593 (2016) - [c7]Feiyi Tang, Jia Zhu, Chaobo He, Chengzhou Fu, Jing He, Yong Tang:
SCHOLAT: An Innovative Academic Information Service Platform. ADC 2016: 453-456 - [c6]Luyao Teng, Wei Zhang, Feiyi Tang, Shaohua Teng, Xiufen Fu:
The Study and Application on Multi-dimension and Multi-layer Credit Scoring. HCC 2016: 386-399 - [c5]Feiyi Tang, Jia Zhu, Yang Cao, Sanli Ma, Yulong Chen, Jing He, Changqin Huang, Gansen Zhao, Yong Tang:
PARecommender: A Pattern-Based System for Route Recommendation. IJCAI 2016: 4272-4273 - 2014
- [c4]Shiping Huang, Yong Tang, Feiyi Tang, Jianguo Li:
Link prediction based on time-varied weight in co-authorship network. CSCWD 2014: 706-709 - [c3]Luyao Teng, Xi Yang, Feiyi Tang, Shaohua Teng, Wei Zhang:
3-Dimension Evaluation Method for Stock Investment Based on 2-Tuple Linguistic. HCC 2014: 326-339 - [c2]Luyao Teng, Shaohua Teng, Feiyi Tang, Haibin Zhu, Wei Zhang, Dongning Liu, Lu Liang:
A Collaborative and Adaptive Intrusion Detection Based on SVMs and Decision Trees. ICDM Workshops 2014: 898-905 - 2012
- [c1]Guohua Chen, Yong Tang, Feiyi Tang, Shijin Ding, Chaobo He:
Effect on Generalization of Using Relational Information in List-Wise Algorithms. ICPCA/SWS 2012: 108-121
Coauthor Index
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