Amin Beheshti
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
118
Venues
33
Active years
2011–2026
Best venue rank
A*
Where they publish
- A*WWW19 papers
- BWISE12 papers
- AICWS9 papers
- A*AAAI7 papers
- A*ICDM7 papers
- AWSDM6 papers
- A*IJCAI6 papers
- CMOMM6 papers
- AICSOC5 papers
- BDSAA4 papers
- ACIKM3 papers
- BIJCNN3 papers
- A*ACL2 papers
- CADMA2 papers
- BEDBT2 papers
- BICONIP2 papers
- NationalIWINAC2 papers
- AAIED2 papers
- CIIWAS2 papers
- AustralasianADC2 papers
- ABPM2 papers
- ACaiSE2 papers
- BENASE1 paper
- A*KDD1 paper
- BPAKDD1 paper
- BPersuasive1 paper
- AMICCAI1 paper
- BICPADS1 paper
- A*SIGIR1 paper
- BEDOC1 paper
- A*ICSE1 paper
- BBigData1 paper
- CAPWEB1 paper
Papers
118 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation. | Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Xuhui Fan, Qiang Ni, Xuyun Zhang, Yang Zhang, Yuan Tian, Amin Beheshti |
| 2026 | AAAI | Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos. | Jianbo Ma, Hui Luo, Qi Chen, Yuankai Qi, Yumei Sun, Amin Beheshti, Jianlin Zhang, Ming-Hsuan Yang |
| 2026 | AAAI | MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion. | Haolong Xiang, Peisi Wang, Xiaolong Xu, Kun Yi, Xuyun Zhang, Quan Z. Sheng, Amin Beheshti, Wei Fan |
| 2026 | WWW | Frugal Agents: Efficient Bio Reasoning via Long-Sequence Compression and Prompt-Gated Memory. | MohammadHossein Ahmadi, Saleh Afzoon, Kamyar Taeb, Parimehr Morassafar, Amin Beheshti |
| 2026 | WWW | Weakly Supervised Multimodal Claim Verification with Entity-Graph Inference. | Kiana Bagheri-Lotfabad, Amin Beheshti, Milad Mosharraf, Min Li, Pooyan Asgari, Guanfeng Liu |
| 2026 | WWW | LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection. | Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti, Jia Wu |
| 2026 | WWW | ImVision: Adapting Pretrained Vision Models for Time-Series Imputation. | Alireza Shammasi, Amin Beheshti, Milad Mosharraf, Min Li, Pooyan Asgari, Yuankai Qi |
| 2026 | WWW | PLIKD: Prompt Learning with Instance-aware Knowledge Distillation for Web-scale Semantic Image Classification. | Jianye Xie, Chunhua Hu, Lianyong Qi, Fan Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Shichao Pei, Amin Beheshti, Wanchun Dou, Xiaokang Zhou |
| 2026 | WWW | Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation. | Jianye Xie, Lianyong Qi, Weiming Liu, Anqi Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wenwen Gong, Yang Zhang, Amin Beheshti, Wanchun Dou |
| 2026 | WWW | MARCH: Multi-Teacher Contrastive Hypergraph Distillation. | Rongwei Xu, Zitai Qiu, Pengfei Ding, Jia Wu, Yan Wang, Amin Beheshti, Guanfeng Liu |
| 2026 | WWW | Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning. | Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu |
| 2026 | WWW | DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection. | Xudong Zhao, Xiaolong Xu, Haolong Xiang, Tong Gao, Lianyong Qi, Amin Beheshti, Xuyun Zhang, Wanchun Dou |
| 2026 | WSDM | DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation. | Shiqi Ge, Shunmei Meng, Xiaoxiao Chi, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Xuyun Zhang |
| 2026 | WSDM | Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation. | Rongwei Xu, Zitai Qiu, Pengfei Ding, Yan Wang, Jia Wu, Amin Beheshti, Guanfeng Liu |
| 2025 | AAAI | DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation. | Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi |
| 2025 | AAAI | Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal. | Shilong Ou, Zhe Xue, Lixiong Qin, Yawen Li, Meiyu Liang, Junjiang Wu, Xuyun Zhang, Amin Beheshti, Yuankai Qi |
| 2025 | AAAI | Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation. | Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou, Wanchun Dou |
| 2025 | ACL | VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare. | Anudeex Shetty, Amin Beheshti, Mark Dras, Usman Naseem |
| 2025 | CIKM | Next-Generation Price Recommendation with LLM-Augmented Graph Transformers. | Hadi Mohammadzadeh Abachi, Amin Beheshti, Milad Mosharraf, Pooyan Asgari, Majid Namazi |
| 2025 | CIKM | STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning. | Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Jin Foo, Jia Wu |
| 2025 | ENASE | Impact of Business Process Masking on Organizations' Policies. | Zakaria Maamar, Amel Benna, Hirad Baradaran Rezaei, Amin Beheshti, Fethi Rabhi |
| 2025 | ICDM | PersoPilot: An Adaptive AI-Copilot for Transparent Contextualized Persona Classification and Personalized Response Generation. | Saleh Afzoon, Amin Beheshti, Usman Naseem |
| 2025 | ICDM | Learning from Uncertainty: A Cloud-Based Active Learning for Detecting Bone Union in Mandibular Reconstruction. | MohammadHossein Ahmadi, Amin Beheshti, Yuankai Qi, Sam Mokhtari, Maryam Khanian Najafabadi, Masako Dunn, Jonathan R. Clark |
| 2025 | ICDM | Uncertainty-Aware Dynamic Knowledge Graphs for Reliable Question Answering. | Yu Takahashi, Shun Takeuchi, Kexuan Xin, Guillaume Pelat, Yoshiaki Ikai, Junya Saito, Jonathan Vitale, Shlomo Berkovsky, Amin Beheshti |
| 2025 | IJCAI | Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation. | Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou |
| 2025 | IJCAI | Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation. | Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Shichao Pei, Fan Wang, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou |
| 2025 | IJCAI | Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion. | Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan |
| 2025 | ICWS | GWise: A Graph-Structured Multi-Agent Framework for Service-Oriented and Generative-AI-Enabled Financial Trading Analytics. | Hirad Baradaran Rezaei, Fethi Rabhi, Amin Beheshti |
| 2025 | KDD | Global Interpretable Graph-level Anomaly Detection via Prototype. | Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng |
| 2025 | PAKDD | FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. | Ali Shakeri, Wei Emma Zhang, Amin Beheshti, Weitong Chen, Jian Yang, Lishan Yang |
| 2025 | Persuasive | Design of a Personalised AI Coaching Assistant for Occupational Health and Safety. | Jonathan Vitale, Shlomo Berkovsky, Shun Takeuchi, Amin Beheshti, Kexuan Xin, Junya Saito, Sosuke Yamao |
| 2025 | WWW | A Competitive-Cooperative Approach to Dynamic Pricing for Two-Sided Hospitality Platforms. | Hadi Mohammadzadeh Abachi, Majid Namazi, Milad Mosharraf, Pooyan Asgari, Amin Beheshti |
| 2025 | WWW | Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation. | Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Amin Beheshti |
| 2025 | WWW | A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments. | Qihua Lyu, Xin Cao, Yongsheng Yu, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti |
| 2025 | WWW | LLMs as Historical Actors: How AI Systems Influence the Web's Evolution. | Usman Naseem, Junaid Rashid, Jungeun Kim, Amin Beheshti, Jian Yang, Mark Dras |
| 2025 | WWW | PipeMind: Toward a Multi-Agent Framework for Real-Time Feedback and Continuous Optimization in Analytics Pipelines. | Hirad Baradaran Rezaei, Fethi Rabhi, Amin Beheshti |
| 2025 | WWW | Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction. | Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Sahar Moradizeyveh, Quan Z. Sheng |
| 2025 | WWW | HEAL: Healthcare Emergency Assistants Leveraging Large Language Models. | Zihan Zhu, Qiongkai Xu, Amin Beheshti |
| 2025 | WISE | PersoDPO: Scalable Preference Optimization for Instruction-Adherent, Persona-Grounded Dialogue via Multi-LLM Evaluation. | Saleh Afzoon, MohammadHossein Ahmadi, Usman Naseem, Amin Beheshti |
| 2024 | AAAI | FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. | Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou |
| 2024 | ACL | StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. | Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang |
| 2024 | ADMA | BiF-AC: A Bidirectional Feedback Actor-Critic Framework for UAV-UGV Graph-Based Search and Rescue Operations. | Xin Cao, He Luo, Guoqiang Wang, Shan Xue, Jian Yang, Jia Wu, Amin Beheshti |
| 2024 | EDBT | GraphSUM: Scalable Graph Summarization for Efficient Question Answering. | Nasrin Shabani, Amin Beheshti, Jia Wu, Maryam Khanian Najafabadi, Jin Foo, Alireza Jolfaei |
| 2024 | ICDM | Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis. | Guangwei Dong, Xuexiong Luo, Jing Du, Jia Wu, Shan Xue, Jian Yang, Amin Beheshti |
| 2024 | ICONIP | MedSiML: A Multilingual Approach for Simplifying Medical Texts. | Hardik A. Jain, Chirayu Patel, Riyasatali Umatiya, Sajib Mistry, Aneesh Krishna, Amin Beheshti |
| 2024 | ICONIP | A Hybrid Contextual Deep Learning Model to Predict Renewable Energy Generation. | Deepak Kanneganti, Sajib Mistry, Sumedha Rajakaruna, Aneesh Krishna, Amin Beheshti |
| 2024 | IJCAI | Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought. | Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu |
| 2024 | IJCAI | Graph Neural Networks for Brain Graph Learning: A Survey. | Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu |
| 2024 | ICWS | Ecosystem-Based Data Products and DaaS: Complexity Analysis and Design Considerations. | Vincent Chen, Perry Chen, Amin Beheshti |
| 2024 | ICWS | DISS-CF: Direct Item Session Similarity Enhanced Collaborative Filtering Method for Recommendation. | Cheng Chen, Xiaoxiao Chi, Amin Beheshti, Jinjun Chen, Wanchun Dou |
| 2024 | ICWS | The Open Story Model (OSM): Transforming Big Data into Interactive Narratives. | Fariba Lotfi, Amin Beheshti, Mansour Jamzad, Hamid Beigy, Jia Wu, Philip S. Yu |
| 2024 | IWINAC | Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. | Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, Roohallah Alizadehsani, Hamid Alinejad-Rokny, Amin Beheshti, Juan Manuel Grriz |
| 2024 | IWINAC | Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models. | Afshin Shoeibi, Marjane Khodatars, Hamid Alinejad-Rokny, Jnathan Heras, Sara Bagherzadeh, Amin Beheshti, Juan Manuel Grriz |
| 2024 | MICCAI | Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. | Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral |
| 2024 | WISE | Robust Graph Learning Against Camouflaged Malicious Actors. | Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti |
| 2024 | WISE | Semantic Similarity-Based Graph Contrastive Learning for Recommender System. | Longchuan Tu, Shunmei Meng, Xiao Liu, Guanfeng Liu, Amin Beheshti, Xuyun Zhang |
| 2024 | WSDM | EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence. | Ambreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo |
| 2024 | WSDM | An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. | Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue |
| 2023 | DSAA | A Contextualized Transformer-Based Method for Cyberbullying Detection. | Nabi Rezvani, Amin Beheshti, Xuyun Zhang |
| 2023 | DSAA | Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization. | Guowei Zhang, Xuyun Zhang, Zhiyong Wang, Amin Beheshti |
| 2023 | ICDM | Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. | Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu |
| 2023 | ICPADS | Federated Anomaly Detection with Isolation Forest for IoT Network Traffics. | Junyan Li, Xuyun Zhang, Haolong Xiang, Amin Beheshti |
| 2023 | IJCAI | OptIForest: Optimal Isolation Forest for Anomaly Detection. | Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu |
| 2023 | ICWS | Empowering Generative AI with Knowledge Base 4.0: Towards Linking Analytical, Cognitive, and Generative Intelligence. | Amin Beheshti |
| 2023 | ICWS | ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. | Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue |
| 2023 | ICWS | A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data. | Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak |
| 2023 | WWW | Measuring Potential Performance Gains of Python Web Applications with pyUpgradeSim. | Anthony Shaw, Amin Beheshti |
| 2023 | WISE | A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability. | Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Habiba, EuJin Foo, Nasrin Shabani, Maryam Shahabikargar |
| 2023 | WISE | Noise-Augmented Contrastive Learning for Sequential Recommendation. | Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang |
| 2022 | ADMA | A Cricket-Based Selection Hyper-Heuristic for Many-Objective Optimization Problems. | Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Amin Beheshti, Xuyun Zhang |
| 2022 | AIED | iCreate: Mining Creative Thinking Patterns from Contextualized Educational Data. | Nasrin Shabani, Amin Beheshti, Helia Farhood, Matt Bower, Michael Garrett, Hamid Alinejad-Rokny |
| 2022 | DSAA | Evidence Based Pipeline for Explaining Artificial Intelligence Algorithms with Interactions. | Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Steven Wood |
| 2022 | DSAA | Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns. | Maryam Shahabikargar, Amin Beheshti, Amin Khatami, Ricky Nguyen, Xuyun Zhang, Hamid Alinejad-Rokny |
| 2022 | ICDM | DAGAD: Data Augmentation for Graph Anomaly Detection. | Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal |
| 2022 | ICWS | Knowledge Base 4.0: Using Crowdsourcing Services for Mimicking the Knowledge of Domain Experts. | Amin Beheshti |
| 2022 | MOMM | Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique. | Alireza Tabebordbar, Amin Beheshti, Nabi Rezvani, Mohsen Asadnia, Stephen Elbourn |
| 2022 | SIGIR | DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph. | Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu, Chao Yan, Lianyong Qi |
| 2022 | WSDM | ComGA: Community-Aware Attributed Graph Anomaly Detection. | Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue |
| 2021 | AIED | Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload. | Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny, Elizabeth Galanis |
| 2021 | ICDM | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. | Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng |
| 2021 | IIWAS | Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification. | Nouna Khandan, Amin Beheshti, Helia Farhood, Matineh Pooshideh, Mike Simpson, Nick Gatland |
| 2021 | IIWAS | Towards Proactive Financial Crime and Fraud Detectionthrough Artificial Intelligence and RegTech Technologies. | Zeinab Rouhollahi, Amin Beheshti, Salman Mousaeirad, Srinivasa Reddy Goluguri |
| 2021 | IJCNN | Towards Predictive Analytics in Mental Health Care. | Amin Beheshti, Vahid Moraveji Hashemi, Shuang Wang |
| 2021 | IJCNN | Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics. | Samira Ghodratnama, Mehrdad Zakershahrak, Amin Beheshti |
| 2021 | ICSOC | AI-Enabled Processes: The Age of Artificial Intelligence and Big Data. | Amin Beheshti, Boualem Benatallah, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad, Jian Yang, Aditya Ghose |
| 2021 | ICSOC | Towards Scalable Blockchains Using Service-Oriented Architectures. | Ali Dorri, Raja Jurdak, Amin Beheshti, Alistair Barros |
| 2020 | EDOC | Attention Mechanism in Predictive Business Process Monitoring. | Abdulrahman Jalayer, Mohsen Kahani, Amin Beheshti, Asef Pourmasoumi, Hamid Reza Motahari-Nezhad |
| 2020 | IJCNN | Convolutional Neural Network for Medical Image Classification using Wavelet Features. | Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Thi Nguyen, Saeid Nahavandi, Jerzy Zieba |
| 2020 | MOMM | A dynamic deep trust prediction approach for online social networks. | Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Ccile Paris, Shahpar Yakhchi, Alireza Jolfaei, Mehmet A. Orgun |
| 2020 | MOMM | Towards intelligent feature engineering for risk-based customer segmentation in banking. | Sam Khadivizand, Amin Beheshti, Fariborz Sobhanmanesh, Quan Z. Sheng, Elias Istanbouli, Steven Wood, Damon Pezaro |
| 2020 | MOMM | Linking textual and contextual features for intelligent cyberbullying detection in social media. | Nabi Rezvani, Amin Beheshti, Alireza Tabebordbar |
| 2020 | WWW | iStory: Intelligent Storytelling with Social Data. | Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah |
| 2020 | WSDM | personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks. | Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi, Hamid Reza Motahari-Nezhad, Seyed Mohssen Ghafari, Jian Yang |
| 2019 | MOMM | Towards Context-Aware Social Behavioral Analytics. | Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi |
| 2019 | MOMM | DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks. | Seyed Mohssen Ghafari, Aditya Joshi, Amin Beheshti, Ccile Paris, Shahpar Yakhchi, Mehmet A. Orgun |
| 2019 | WISE | Intelligent Knowledge Lakes: The Age of Artificial Intelligence and Big Data. | Amin Beheshti, Boualem Benatallah, Quan Z. Sheng, Francesco Schiliro |
| 2019 | WISE | ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces. | Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah |
| 2019 | WISE | Adaptive Rule Adaptation in Unstructured and Dynamic Environments. | Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh |
| 2018 | ADC | TEXUS: Table Extraction System for PDF Documents. | Roya Rastan, Hye-Young Paik, John Shepherd, Seung Hwan Ryu, Amin Beheshti |
| 2018 | BPM | iProcess: Enabling IoT Platforms in Data-Driven Knowledge-Intensive Processes. | Amin Beheshti, Francesco Schiliro, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad |
| 2018 | CaiSE | CrowdCorrect: A Curation Pipeline for Social Data Cleansing and Curation. | Amin Beheshti, Kushal Vaghani, Boualem Benatallah, Alireza Tabebordbar |
| 2018 | ICSE | Adaptive rule monitoring system. | Alireza Tabebordbar, Amin Beheshti |
| 2018 | ICSOC | iSheets: A Spreadsheet-Based Machine Learning Development Platform for Data-Driven Process Analytics. | Farhad Amouzgar, Amin Beheshti, Samira Ghodratnama, Boualem Benatallah, Jian Yang, Quan Z. Sheng |
| 2018 | ICSOC | iCOP: IoT-Enabled Policing Processes. | Francesco Schiliro, Amin Beheshti, Samira Ghodratnama, Farhad Amouzgar, Boualem Benatallah, Jian Yang, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad |
| 2018 | WISE | Social Context-Aware Trust Prediction: Methods for Identifying Fake News. | Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, Mehmet A. Orgun |
| 2018 | WISE | SETTRUST: Social Exchange Theory Based Context-Aware Trust Prediction in Online Social Networks. | Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, Mehmet A. Orgun |
| 2018 | WISE | CNR: Cross-network Recommendation Embedding User's Personality. | Shahpar Yakhchi, Seyed Mohssen Ghafari, Amin Beheshti |
| 2017 | CIKM | CoreDB: a Data Lake Service. | Amin Beheshti, Boualem Benatallah, Reza Nouri, Van Munin Chhieng, HuangTao Xiong, Xu Zhao |
| 2017 | ICWS | Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. | Usama Salama, Lina Yao, Xianzhi Wang, Hye-Young Paik, Amin Beheshti |
| 2017 | WWW | On Automating Basic Data Curation Tasks. | Amin Beheshti, Alireza Tabebordbar, Boualem Benatallah, Reza Nouri |
| 2016 | EDBT | Galaxy: A Platform for Explorative Analysis of Open Data Sources. | Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad |
| 2015 | ADC | A Framework of Enriching Business Processes Life-Cycle with Tagging Information. | Zakaria Maamar, Sherif Sakr, Ahmed Barnawi, Amin Beheshti |
| 2015 | BigData | A Preliminary Approach to Domain-Based Evaluation of Users' Trustworthiness in Online Social Networks. | Bilal Abu-Salih, Pornpit Wongthongtham, Amin Beheshti, Dengya Zhu |
| 2015 | ICSOC | Scalable SaaS-Based Process Customization with CaseWalls. | Yu-Jen John Sun, Moshe Chai Barukh, Boualem Benatallah, Amin Beheshti |
| 2013 | APWEB | Collusion Detection in Online Rating Systems. | Mohammad Allahbakhsh, Aleksandar Ignjatovic, Boualem Benatallah, Amin Beheshti, Elisa Bertino, Norman Foo |
| 2013 | CaiSE | Enabling the Analysis of Cross-Cutting Aspects in Ad-Hoc Processes. | Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad |
| 2012 | WISE | A Framework and a Language for On-Line Analytical Processing on Graphs. | Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad, Mohammad Allahbakhsh |
| 2011 | BPM | A Query Language for Analyzing Business Processes Execution. | Amin Beheshti, Boualem Benatallah, Hamid R. Motahari Nezhad, Sherif Sakr |