Malik Khizar Hayat

Malik Khizar Hayat

Research Scientist specialized in Data Science and Machine Learning, focused on transforming data into actionable insights and developing solutions for complex problems.

Posts by Collection

portfolio

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    • publications

  • Malik Khizar Hayat, and Ali Daud, "Anomaly Detection in Heterogeneous Bibliographic Information Networks using Co-Evolution Pattern Mining." Scientometrics, vol. 113, pp. 149-175, 2017. doi: 10.1007/s11192-017-2467-y
  • Malik Khizar Hayat, Ali Daud, Abdulrahman A. Alshdadi, Ameen Banjar, Rabeeh Ayaz Abbasi, Yukun Bao, and Hussain Dawood, "Towards Deep Learning Prospects: Insights from Social Media Analytics." IEEE Access, vol. 7, pp. 36958-36979, 2019. doi: 10.1109/ACCESS.2019.2905101
  • Malik Khizar Hayat, Ali Daud, Rabeeh Ayaz Abbasi, Tehmina Amjad, and Xiuzhen Jenny Zhang, "Coronavirus Disease (COVID-19) Dynamics: Age and Gender-based Analysis of Surveillance Variables." Preprint, 2020. doi: 10.20944/preprints202008.0458.v1
  • Tehmina Amjad, Ali Daud, Malik Khizar Hayat, Muhammad Tanvir Afzal, and Hussain Dawood, "Coronavirus Pandemic (COVID-19): A Survey of Analysis, Modeling, and Recommendations." Preprint, 2020. doi: 10.20944/preprints202008.0495.v1
  • Ali Daud, Min Song, Malik Khizar Hayat, Tehmina Amjad, Rabeeh Ayaz Abbasi, Hassan Dawood, and Anwar Ghani, "Finding Rising Stars in Bibliometrics Networks." Scientometrics, vol. 124, pp. 633-661, 2020. doi: 10.1007/s11192-020-03466-w
  • Aqeel Feroze, Ali Daud, Tehmina Amjad, and Malik Khizar Hayat, "Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects." SN Computer Science, vol. 2, pp. 1-27, 2021. doi: 10.1007/s42979-021-00603-x
  • Ali Daud, Malik Khizar Hayat, Abdulrahman A. Alshdadi, Ameen Banjar, and W. M Alharbi, "Measuring the impact of co-author count on citation count of research publications." COLLNET Journal of Scientometrics and Information Management, vol. 16, pp. 35-48, 2022. doi: 10.1080/09737766.2021.2016356
  • Abdulrahman A. Alshdadi, Malik Khizar Hayat, Ali Daud, Ameen Banjar, and Hussain Dawood, "Measuring the impact of COVID-19 surveillance variables over the international oil market." International Journal of Advanced and Applied Sciences, vol. 9, pp. 27-33, 2022. doi: 10.21833/ijaas.2022.01.004
  • Riad Alharbey, Jong In Kim, Ali Daud, Min Song, Abdulrahman A. Alshdadi, and Malik Khizar Hayat, "Indexing Important Drugs from Medical Literature." Scientometrics, vol. 127, pp. 2661-2681, 2022. doi: 10.1007/s11192-022-04340-7
  • Ali Daud, Naveed-ul-Islam, Imran Razzak, and Malik Khizar Hayat, "Identifying Rising Stars via Supervised Machine Learning." IEEE Transactions on Computational Social Systems, vol. 10, pp. 2374-2384, 2022. doi: 10.1109/TCSS.2022.3178070
  • Muhammad Sajid Qureshi, Ali Daud, Malik Khizar Hayat, Min Song, and Yejin Park, "Heading Towards Sub-discipline Rankings for Higher Education Institutions." IEEE Transactions on Computational Social Systems, vol. 10, pp. 3536-3555, 2022. doi: 10.1109/TCSS.2022.3206396
  • Malik Khizar Hayat, Ali Daud, Ameen Banjar, Riad Alharbey, and Amal Bukhari, "A deep co-evolution architecture for anomaly detection in dynamic networks." Multimedia Tools and Applications, vol. 83, pp. 40489-40508, 2023. doi: 10.1007/s11042-023-17126-7
  • Malik Khizar Hayat, Shan Xue, and Jian Yang, "Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification." Proceedings of the 2023 IEEE International Conference on Data Mining (ICDM), pp. 140-149, 2023. doi: 10.1109/ICDM58522.2023.00023
  • Muhammad Sajid Qureshi, Ali Daud, Malik Khizar Hayat, and Muhammad Tanvir Afzal, "OpenRank: A Novel Approach to Rank Universities using Objective and Publicly Verifiable Data Sources." Library Hi-Tech, pp. 474-500, 2023. doi: 10.1108/LHT-07-2019-0131
  • Malik Khizar Hayat, Shan Xue, and Jian Yang, "Self-supervised Multi-hop Heterogeneous Hypergraph Embedding with Informative Pooling for Graph-level Classification." Knowledge and Information Systems (KAIS), vol. 67, pp. 1945-1968, 2024. doi: 10.1007/s10115-024-02259-4
  • Malik Khizar Hayat, Shan Xue, Jia Wu, and Jian Yang, "Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks." IEEE Transactions on Artificial Intelligence, vol. 5, pp. 5465-5477, 2024. doi: 10.1109/TAI.2024.3450658
  • Bilal Khan, Jia Wu, Malik Khizar Hayat, Jian Yang, and Shan Xue, "Hypergraphs and Transformer Learning for Category-Aware Cross-Domain Session Recommendations." Submitted in the 2025 IEEE International Conference on Data Mining (ICDM), 2025.
  • Bilal Khan, Jia Wu, Jian Yang, Shan Xue, and Malik Khizar Hayat, "A Unified Hypergraph Framework for Inter and Intra-Session Dynamics in Session-Based Social Recommendations." IEEE Transactions on Big Data, 2025. doi: 10.1109/TBDATA.2025.3566617
  • Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, and Jian Yang, "Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification." Proceedings of the 18th International Conference on Web Search and Data Mining (WSDM), pp. 213-221, 2025. doi: 10.1145/3701551.3703504

    • talks

  • , "Talk 1 on Relevant Topic in Your Field." UC San Francisco, Department of Testing, 2012.
  • , "Tutorial 1 on Relevant Topic in Your Field." UC-Berkeley Institute for Testing Science, 2013.
  • , "Talk 2 on Relevant Topic in Your Field." London School of Testing, 2014.
  • , "Conference Proceeding talk 3 on Relevant Topic in Your Field." Testing Institute of America 2014 Annual Conference, 2014.

    • teaching

  • , "Teaching experience 1." University 1, Department, 2014.
  • , "Teaching experience 2." University 1, Department, 2015.