Phu Pham

dblp:215/6164 · DBLP profile ↗
← Back
10ranked-venue papers in the field
3as first author
8since 2021 · last 2026
—ORCID · conflict

Domains — venue-derived; a paper can count in several

Database Systems & Data Management · 6 (2 first)Data Mining & Knowledge Discovery · 2Knowledge Engineering, Semantic Web & Information Systems · 2 (1 first)
YearPublicationVenuePosition
2026 Topology-Driven Rough Set Classification Using Ball Mapper Coverings for Healthcare Intelligence
Quang-Thinh Bui, Quang-Loc Pham, Minh-Khoi Pham, Minh-Huy Bui, Phu Pham, Bay Vo
ACIIDS (2)5
2026 Fast-NSTBC: A Scalable Topological-Based Clustering Method for Large Network-Constrained Geospatial Data
Trang T. D. Nguyen, Loan T. T. Nguyen, Quang-Thinh Bui, Phu Pham, Bay Vo
ACIIDS (1)4
2026 DOM-GraphIE: HTML-Aware GNNs for Web Information Extraction
Ba-Vinh Truong, Phu Pham, Loan T. T. Nguyen
ACIIDS (1)2
2026 SPECTER-BS: effective citation recommendation using SPECTER with bibliographic scoring
Nguyen Nhu Son, Nguyen Hoang Long, Thi N. Dinh, Phu Pham, Bay Vo
Knowl. Inf. Syst.4
2025 Integrating Topological Data Analysis and Deep Learning: A Case Study in Cardiovascular Disease Prediction at Thu Duc Hospital
Loan T. T. Nguyen, Phu Pham, Thi Thanh Sang Nguyen, Phu An Chau, An Van Bao Phan, Hoang Quang Dao, Thanh Tri Vu, An Le Pham, Bay Vo
ACIIDS (2)2
2023 Enhancing Anchor Link Prediction in Information Networks through Integrated Embedding Techniques
Van-Vang Le, Phu Pham, Václav Snásel, Unil Yun, Bay Vo
Inf. Sci.2
2023 A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation
Phu Pham, Loan T. T. Nguyen, Ngoc Thanh Nguyen 0001, Robert Kozma 0001, Bay Vo
Inf. Sci.1
2022 Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks
Phu Pham, Loan T. T. Nguyen, Bay Vo, Unil Yun
Inf. Syst.1
2020 The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic
abstract
In the United States, the country with the highest confirmed COVID-19 infection cases, a nationwide social distancing protocol has been implemented by the President. Following the closure of the University of Washington on March 7th, more than 1000 colleges and universities in the United States have cancelled in-person classes and campus activities, impacting millions of students. This paper aims to discover the social implications of this unprecedented disruption in our interactive society regarding both the general public and higher education populations by mining people's opinions on social media. We discover several topics embedded in a large number of COVID-19 tweets that represent the most central issues related to the pandemic, which are of great concerns for both college students and the general public. Moreover, we find significant differences between these two groups of Twitter users with respect to the sentiments they expressed towards the COVID-19 issues. To our best knowledge, this is the first social media-based study which focuses on the college student community's demographics and responses to prevalent social issues during a major crisis.
Viet Duong, Jiebo Luo 0001, Phu Pham, Yu Wang 0041
ASONAM3
2018 W-PathSim: Novel Approach of Weighted Similarity Measure in Content-Based Heterogeneous Information Networks by Applying LDA Topic Modeling
Phu Pham, Chien D. C. Ta
ACIIDS (1)1