Information Extraction From Microblogs: A Survey. - Wen Hua; Dat T. Huynh; Saeid Hosseini; Jiaheng Lu; Xiaofang Zhou 001 (Int. J. Softw. Informatics, 2012)

Location Oriented Phrase Detection in Microblogs. - Saeid Hosseini; Sayan Unankard; Xiaofang Zhou 001; Shazia Sadiq (DASFAA (1), 2014)

Point-Of-Interest Recommendation Using Temporal Orientations of Users and Locations. - Saeid Hosseini; Lei Thor Li (DASFAA (1), 2016)

Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation. - Saeid Hosseini; Hongzhi Yin; Meihui Zhang 001; Xiaofang Zhou 001; Shazia Sadiq (DASFAA (1), 2017)

Leveraging Multi-aspect Time-related Influence in Location Recommendation. - Saeid Hosseini; Hongzhi Yin; Xiaofang Zhou 001; Shazia Sadiq (CoRR, 2017)

Location Inference and Recommendation in Social Networks - Saeid Hosseini (2017)

Statistical Discretization of Continuous Attributes Using Kolmogorov-Smirnov Test. - Hadi Mohammadzadeh Abachi; Saeid Hosseini; Mojtaba Amiri Maskouni; Mohammadreza Kangavari; Ngai-Man Cheung (ADC, 2018)

Auto-CES: An Automatic Pruning Method Through Clustering Ensemble Selection. - Mojtaba Amiri Maskouni; Saeid Hosseini; Hadi Mohammadzadeh Abachi; Mohammadreza Kangavari; Xiaofang Zhou 001 (ADC, 2018)

Exploiting Reshaping Subgraphs from Bilateral Propagation Graphs. - Saeid Hosseini; Hongzhi Yin; Ngai-Man Cheung; Kan Pak Leng; Yuval Elovici; Xiaofang Zhou 001 (DASFAA (1), 2018)

Mining Subgraphs from Propagation Networks through Temporal Dynamic Analysis. - Saeid Hosseini; Hongzhi Yin; Meihui Zhang 001; Yuval Elovici; Xiaofang Zhou 001 (MDM, 2018)

MCP: a multi-component learning machine for prediction of protein secondary structure. - Leila Khalatbari; Mohammadreza Kangavari; Saeid Hosseini; Hongzhi Yin; Ngai-Man Cheung (CoRR, 2018)

MCP: A multi-component learning machine to predict protein secondary structure. - Leila Khalatbari; Mohammadreza Kangavari; Saeid Hosseini; Hongzhi Yin; Ngai-Man Cheung (Comput. Biol. Medicine, 2019)

TEALS: Time-aware Text Embedding Approach to Leverage Subgraphs. - Saeid Hosseini; Saeed Najafi Pour; Ngai-Man Cheung; Mohammad Reza Kangavari 001; Xiaofang Zhou 001; Yuval Elovici (CoRR, 2019)

Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach. - Ivan Homoliak; Martin Teknos; Martín Ochoa; Dominik Breitenbacher; Saeid Hosseini; Petr Hanácek (EAI Endorsed Trans. Security Safety, 2019)

Leveraging multi-aspect time-related influence in location recommendation. - Saeid Hosseini; Hongzhi Yin; Xiaofang Zhou 001; Shazia Sadiq; Mohammad Reza Kangavari 001; Ngai-Man Cheung (World Wide Web, 2019)

TEAGS: time-aware text embedding approach to generate subgraphs. - Saeid Hosseini; Saeed Najafi Pour; Ngai-Man Cheung; Hongzhi Yin; Mohammad Reza Kangavari 001; Xiaofang Zhou 001 (Data Min. Knowl. Discov., 2020)

Cognitive-aware Short-text Understanding for Inferring Professions. - Sayna Esmailzadeh; Saeid Hosseini; Mohammad Reza Kangavari 001; Wen Hua (CoRR, 2021)

GS4: Graph stream summarization based on both the structure and semantics. - Nosratali Ashrafi-Payaman; Mohammadreza Kangavari; Saeid Hosseini; Amir Mohammad Fander (J. Supercomput., 2021)

SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding. - Saeed Najafi Pour; Saeid Hosseini; Wen Hua; Mohammad Reza Kangavari 001; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2022)

TEA: Time-aware Entity Alignment in Knowledge Graphs. - Yu Liu 053; Wen Hua; Kexuan Xin; Saeid Hosseini; Xiaofang Zhou 001 (WWW, 2023)

Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules. - Mohammad Hossein Khojasteh; Najmeh Torabian; Ali Farjami; Saeid Hosseini; Behrouz Minaei-Bidgoli (CoRR, 2023)

Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects. - Sana Rahmani; Saeid Hosseini; Raziyeh Zall; Mohammad Reza Kangavari 001; Sara Kamran; Wen Hua (Knowl. Based Syst., 2023)

EmoDNN: understanding emotions from short texts through a deep neural network ensemble. - Sara Kamran; Raziyeh Zall; Saeid Hosseini; Mohammadreza Kangavari; Sana Rahmani; Wen Hua (Neural Comput. Appl., 2023)

Auto-regressive extractive summarization with replacement. - Tianyu Zhu; Wen Hua; Jianfeng Qu; Saeid Hosseini; Xiaofang Zhou 001 (World Wide Web (WWW), 2023)

Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System. - Mohsen Saaki; Saeid Hosseini; Sana Rahmani; Mohammad Reza Kangavari 001; Wen Hua; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

Short-Text Author Linking Through Multi-Facet Temporal-Textual Embedding (Extended Abstract). - Saeed Najafipour Najafipour; Saeid Hosseini; Wen Hua; Mohammad Reza Kangavari 001; Xiaofang Zhou 001 (ICDE, 2024)

SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding (Extended Abstract). - Saeed Najafi Pour; Saeid Hosseini; Wen Hua; Mohammad Reza Kangavari 001; Xiaofang Zhou 001 (ICDE, 2024)

Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System (Extended Abstract). - Mohsen Saaki; Saeid Hosseini; Sana Rahmani; Mohammad Reza Kangavari 001; Wen Hua; Xiaofang Zhou 001 (ICDE, 2024)

Cognition2Vocation: meta-learning via ConvNets and continuous transformers. - Sara Kamran; Saeid Hosseini; Sayna Esmailzadeh; Mohammad Reza Kangavari 001; Wen Hua (Neural Comput. Appl., 2024)