Phu Pham

发表

The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic pdf

Jiebo Luo, Yu Wang, Phu Pham, 2020, 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam

W. Pedrycz, Phu Pham, Bay Vo, 2022, Expert Systems with Applications.

W-Metagraph2Vec: a novel approval of enriched schematic topic-driven heterogeneous information network embedding

Phu Pham, P. Do, 2020, International Journal of Machine Learning and Cybernetics.

#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media pdf

Jiebo Luo, Phu Pham, Ritwik Bose, 2020, ArXiv.

DW-PathSim: a distributed computing model for topic-driven weighted meta-path-based similarity measure in a large-scale content-based heterogeneous information network*

Phuc Do, Phu Pham, Phu Pham, 2018, J. Inf. Telecommun..

W-KG2Vec: a weighted text-enhanced meta-path-based knowledge graph embedding for similarity search

Phuc Do, Phu Pham, Phu Pham, 2021, Neural Computing and Applications.

Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks

Unil Yun, Bay Vo, Phu Pham, 2021, Inf. Syst..

Deep learning, graph-based text representation and classification: a survey, perspectives and challenges

Loan T. T. Nguyen, W. Pedrycz, Phu Pham, 2022, Artificial Intelligence Review.

A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation

Loan T. T. Nguyen, R. Kozma, Phu Pham, 2022, Inf. Sci..

Enhanced context-aware citation recommendation with auxiliary textual information based on an auto-encoding mechanism

Phu Pham, Bay Vo, Giang Nguyen, 2023, Applied Intelligence.

Heterogeneous graph convolutional network pre-training as side information for improving recommendation

Phu Pham, P. Do, 2022, Neural Computing and Applications.

W-MMP2Vec: Topic-driven network embedding model for link prediction in content-based heterogeneous information network

Phuc Do, Phu Pham, Phu Pham, 2021, Intell. Data Anal..

W-MetaPath2Vec: The topic-driven meta-path-based model for large-scaled content-based heterogeneous information network representation learning

Phuc Do, Phu Pham, Phu Pham, 2019, Expert Syst. Appl..

W-Metagraph2Vec: a novel approval of enriched schematic topic-driven heterogeneous information network embedding

Phuc Do, Phu Pham, Phu Pham, 2020, Int. J. Mach. Learn. Cybern..

An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems

Loan T. T. Nguyen, Phu Pham, Bay Vo, 2023, IEEE Transactions on Cybernetics.