W-PathSim: Novel Approach of Weighted Similarity Measure in Content-Based Heterogeneous Information Networks by Applying LDA Topic Modeling. - Phu Pham; Phuc Do; Chien D. C. Ta (ACIIDS (1), 2018)

T-MPP: A Novel Topic-Driven Meta-path-Based Approach for Co-authorship Prediction in Large-Scale Content-Based Heterogeneous Bibliographic Network in Distributed Computing Framework by Spark. - Phuc Do; Phu Pham; Trung Phan; Thuc Nguyen (ICO, 2018)

W-PathSim++: the novel approach of topic-driven similarity search in large-scaled heterogeneous network with the support of Spark-based DataLog. - Phuc Do; Phu Pham (KSE, 2018)

The MeMAD Submission to the WMT18 Multimodal Translation Task. - Stig-Arne Grönroos; Benoit Huet; Mikko Kurimo; Jorma Laaksonen; Bernard Mérialdo; Phu Pham; Mats Sjöberg; Umut Sulubacak; Jörg Tiedemann; Raphaël Troncy; Raúl Vázquez (WMT (shared task), 2018)

W-MetaPath2Vec: The topic-driven meta-path-based model for large-scaled content-based heterogeneous information network representation learning. - Phu Pham; Phuc Do (Expert Syst. Appl., 2019)

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 (J. Inf. Telecommun., 2019)

The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic. - Viet Duong; Jiebo Luo 001; Phu Pham; Tongyu Yang; Yu Wang 041 (ASONAM, 2020)

#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media. - Viet Duong; Phu Pham; Ritwik Bose; Jiebo Luo 001 (CoRR, 2020)

W-Com2Vec: A topic-driven meta-path- based intra-community embedding for content-based heterogeneous information network. - Phu Pham; Phuc Do (Intell. Data Anal., 2020)

Topic-driven top-k similarity search by applying constrained meta-path based in content-based schema-enriched heterogeneous information network. - Phu Pham; Phuc Do (Int. J. Bus. Intell. Data Min., 2020)

ComRank: community-based ranking approach for heterogeneous information network analysis and mining. - Phu Pham; Phuc Do (Int. J. Bus. Intell. Data Min., 2020)

W-Metagraph2Vec: a novel approval of enriched schematic topic-driven heterogeneous information network embedding. - Phu Pham; Phuc Do (Int. J. Mach. Learn. Cybern., 2020)

W-MMP2Vec: Topic-driven network embedding model for link prediction in content-based heterogeneous information network. - Phu Pham; Phuc Do (Intell. Data Anal., 2021)

The approach of using ontology as a pre-knowledge source for semi-supervised labelled topic model by applying text dependency graph. - Phu Pham; Phuc Do (Int. J. Bus. Intell. Data Min., 2021)

Automatic topic labelling for text document using ontology of graph-based concepts and dependency graph. - Phu Pham; Phuc Do; Chien D. C. Ta (Int. J. Bus. Inf. Syst., 2021)

W-KG2Vec: a weighted text-enhanced meta-path-based knowledge graph embedding for similarity search. - Phuc Do; Phu Pham (Neural Comput. Appl., 2021)

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., 2022)

Heterogeneous graph convolutional network pre-training as side information for improving recommendation. - Phuc Do; Phu Pham (Neural Comput. Appl., 2022)

TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery. - Matti Mottus; Phu Pham; Eelis Halme; Matthieu Molinier; Hai Cu; Jorma Laaksonen (IEEE Trans. Geosci. Remote. Sens., 2022)

ComGCN: Community-Driven Graph Convolutional Network for Link Prediction in Dynamic Networks. - Phu Pham; Loan T. T. Nguyen; Ngoc Thanh Nguyen 001; Witold Pedrycz; Unil Yun; Bay Vo (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam. - Phu Pham; Witold Pedrycz; Bay Vo (Expert Syst. Appl., 2022)

DroNeRF: Real-Time Multi-Agent Drone Pose Optimization for Computing Neural Radiance Fields. - Dipam Patel; Phu Pham; Aniket Bera (IROS, 2023)

RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks. - Videsh Suman; Phu Pham; Aniket Bera (IROS, 2023)

Crowd-Aware Multi-Agent Pathfinding With Boosted Curriculum Reinforcement Learning. - Phu Pham; Aniket Bera (CoRR, 2023)

DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems. - Dipam Patel; Phu Pham; Kshitij Tiwari; Aniket Bera (CoRR, 2023)

RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation. - Aradhya Neeraj Mathur; Phu Pham; Aniket Bera; Ojaswa Sharma (CoRR, 2023)

A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation. - Phu Pham; Loan T. T. Nguyen; Ngoc Thanh Nguyen 001; Robert Kozma 001; Bay Vo (Inf. Sci., 2023)

A Graph-Based Topic Modeling Approach to Detection of Irrelevant Citations. - Phu Pham; Hieu Le; Nguyen Thanh Tam; Quang Dieu Tran (Vietnam. J. Comput. Sci., 2023)

Deep learning, graph-based text representation and classification: a survey, perspectives and challenges. - Phu Pham; Loan T. T. Nguyen; Witold Pedrycz; Bay Vo (Artif. Intell. Rev., 2023)

Enhanced context-aware citation recommendation with auxiliary textual information based on an auto-encoding mechanism. - Thi N. Dinh; Phu Pham; Giang L. Nguyen; Bay Vo (Appl. Intell., 2023)

An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems. - Phu Pham; Loan T. T. Nguyen; Ngoc Thanh Nguyen 001; Witold Pedrycz; Unil Yun; Jerry Chun-Wei Lin; Bay Vo (IEEE Trans. Cybern., 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., 2023)

Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam. - Quang-Dieu Nguyen; Tu Anh Hoang Nguyen; Nguyen Tien Dat Pham; Trung Kien Nguyen; Phu Pham; Ngoc-Thanh Nguyen 001; Loan T. T. Nguyen (ICCCI (1), 2024)

Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks. - Phu Pham; Aniket Bera (IROS, 2024)

MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification. - Phu Pham; Aradhya Neeraj Mathur; Ojaswa Sharma; Aniket Bera (CoRR, 2024)

Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM. - Phu Pham; Dipam Patel; Damon Conover; Aniket Bera (CoRR, 2024)

Quadratic Is Not What You Need For Multimodal Large Language Models. - Phu Pham; Wentian Zhao; Kun Wan 001; Yu-Jhe Li; Zeliang Zhang; Daniel Miranda; Ajinkya Kale; Chenliang Xu (CoRR, 2024)

FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting. - Phu Pham; Damon Conover; Aniket Bera (CoRR, 2024)

Enhancing local citation recommendation with recurrent highway networks and SciBERT-based embedding. - Thi N. Dinh; Phu Pham; Giang L. Nguyen; Bay Vo (Expert Syst. Appl., 2024)

A Structure-Enhanced Heterogeneous Graph Representation Learning with Attention-Supplemented Embedding Fusion. - Phu Pham (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2024)

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), 2025)

An enhancement of multi-scope topological graph pooling and representation learning with attention for molecular graph classification. - Phu Pham (Comput. Biol. Chem., 2025)

A community-aware graph neural network applied to geographical location-based representation learning and clustering within GIS. - Phu Pham; Loan T. T. Nguyen; Hoai Thuong Sarah; Anh Nguyen 006; Trang T. D. Nguyen; Bay Vo (Expert Syst. Appl., 2025)

An integrated simplicial neural network with neuro-fuzzy network for graph embedding. - Phu Pham (Int. J. Mach. Learn. Cybern., 2025)

A Hybrid Citation Recommendation Model With SciBERT and GraphSAGE. - Thi N. Dinh; Phu Pham; Giang L. Nguyen; Ngoc Thanh Nguyen 001; Bay Vo (IEEE Trans. Syst. Man Cybern. Syst., 2025)

An approach of multi-viewed graph embedding with adaptive heat kernel based diffusion and global expressive learning. - Phu Pham (Soft Comput., 2025)

Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives. - Phu Pham; Quang-Thinh Bui; Ngoc Thanh Nguyen 001; Robert Kozma 001; Philip S. Yu; Bay Vo (IEEE Trans. Neural Networks Learn. Syst., 2025)