Papers
[IEEE TKDE 2022] Saaki, M., Hosseini, S., Rahmani, S., Kangavari, M. R., Hua, W., & Zhou, X. (2022). Value-wise ConvNet for Transformer models: An Infinite Time-aware Recommender System. IEEE Transactions on Knowledge and Data Engineering.
[WWWJ 2022] Title: Auto-Regressive Extractive Summarization with Replacement (Tianyu Zhu, Wen Hua, Jianfeng Qu, Saeid Hosseini, and Xiaofang Zhou)
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
Saeed Najafipour ; Saeid Hosseini ; Wen Hua ; Mohammad Reza Kangavari ; Xiaofang Zhou
IEEE Transactions on Knowledge and Data Engineering 2020, A* journal , Q1, ISI
TEAGS: Time-aware Text Embedding Approach to Generate Subgraphs
Saeid Hosseini, Saeed Najafipour, Ngai-Man Cheung, Hongzhi Yin, Mohammad Reza Kangavari, and Xiaofang Zhou
Data Mining and Knowledge Discovery, A journal , Q1, ISI
GS4: Graph stream summarization based on both the structure and semantics
Nosratali Ashrafi-Payaman, Mohammad Reza Kangavari, Saeid Hosseini, Amir Mohammad Fander
Data Mining and Knowledge Discovery, Q2, ISI
Leveraging Multi-aspect Time-related Influence in Location Recommendation
Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia Sadiq, Mohammad Reza Kangavari, Ngai-Man Cheung
World Wide Web (2018) (High impact, Q2, ISI) https://doi.org/10.1007/s11280-018-0573-2. The arXiv.org e-Print archive [Download PDF] - View the final accepted paper in this link: https://rdcu.be/Ng8A
Exploiting Reshaping Subgraphs From Bilateral Propagation Graphs
Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung, Kan Pak Leng, Yuval Elovici and Xiaofang Zhou.
Statistical discretization of continuous attributes using Kolmogorov-Smirnov test
Hadi Mohammadzadeh Abachi, Saeid Hosseini, Mojtaba Amiri Maskouni, Mohammad Reza Kangavari, and Ngai-Man Cheung
Australasian Database Conference ADC 2018
Auto-CES: An automatic method to prune Random Forest classifiers based-on Clustering Ensemble Selection
Mojtaba Amiri Maskouni, Saeid Hosseini, Hadi Mohamadzadeh Abachi, Mohamad Reza Kangavari, and Xiaofang Zhou
Australasian Database Conference ADC 2018
Mining Subgraphs From Propagation Networks Through Temporal Dynamic Analysis
Saeid Hosseini, Hongzhi Yin, Meihui Zhang, Yuval Elovici, Xiaofang Zhou
IEEE International Conference on Mobile Data Management MDM 2018
Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation (Recently Accepted)
S Hosseini, H Yin, M Zhang, X Zhou, S Sadiq
International Conference on Database Systems for Advanced Applications, 2017. (Full research paper, CORE Rank A). [Download PDF]
Point-Of-Interest Recommendation Using Temporal Orientations of Users and Locations
S Hosseini, LT Li
International Conference on Database Systems for Advanced Applications, 330-347, 2016. (Full research paper, CORE Rank A). [Download PDF]
Location oriented phrase detection in microblogs
S Hosseini, S Unankard, X Zhou, S Sadiq [Download PDF]
International Conference on Database Systems for Advanced Applications, 495-509, 2014. (Full research paper, CORE Rank A).
Information extraction from microblogs: A survey
W Hua, DT Huynh, S Hosseini, J Lu, X Zhou - Int. J. Soft. and Informatics, 2012 [Download PDF]