Peide Zhu, Zhen Wang, Manabu Okumura, Jie Yang (2024), MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering, Stevan Rudinac, Marcel Worring, Cynthia Liem, Alan Hanjalic, Björn Pór Jónsson, Yoko Yamakata, Bei Liu (Eds.), In MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings p.98-111, Springer.

Michael D. Ekstrand, Lex Beattie, Maria Soledad Pera, Henriette Cramer (2024), Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval, Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis (Eds.), In Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings p.314-335, Springer.

Peide Zhu, Arthur Câmara, Nirmal Roy, David Maxwell, Claudia Hauff (2024), On the Effects of Automatically Generated Adjunct Questions for Search as Learning, In CHIIR 2024 - Proceedings of the 2024 Conference on Human Information Interaction and Retrieval p.266-277, Association for Computing Machinery (ACM).

Alisa Rieger, Tim Draws, Nicolas Mattis, David Maxwell, David Elsweiler, Ujwal Gadiraju, Dana McKay, Alessandro Bozzon, Maria Soledad Pera (2024), Responsible Opinion Formation on Debated Topics in Web Search, Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis (Eds.), In Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings p.437-465, Springer Nature.

K. Psarakis, W.D. Zorgdrager, M. Fragkoulis, Guido Salvaneschi, A Katsifodimos (2024), Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows, In EDBT 2024 - 27th International Conference on Extending Database Technology p.15-21.

Venktesh Viswanathan, Mukesh Mohania, Vikram Goyal (2024), TagRec++: Hierarchical Label Aware Attention Network for Question Categorization, In IEEE Transactions on Knowledge and Data Engineering p.1-12.

M. Valle Torre, Catharine Oertel, M.M. Specht (2024), The Sequence Matters in Learning - A Systematic Literature Review, In LAK 2024 Conference Proceedings - 14th International Conference on Learning Analytics and Knowledge p.263–272, Association for Computing Machinery (ACM).

Geoff Musick, Wen Duan, Shabnam Najafian, Subhasree Sengupta, Christopher Flathmann, Bart Knijnenburg, Nathan McNeese (2024), To Share or Not to Share: Understanding and Modeling Individual Disclosure Preferences in Recommender Systems for the Workplace, In Proceedings of the ACM on Human-Computer Interaction Volume 8.

Fuyang Yu, Zhen Wang, Dongyuan Li, Peide Zhu, Xiaohui Liang, Xiaochuan Wang, Manabu Okumura (2024), Towards Cross-Modal Point Cloud Retrieval for Indoor Scenes, Stevan Rudinac, Marcel Worring, Cynthia Liem, Alan Hanjalic, Björn Pór Jónsson, Yoko Yamakata, Bei Liu (Eds.), In MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings p.89-102, Springer.

P. Zhu (2024), Towards Robust Automatic Question Generation For Learning, PhD Thesis Delft University of Technology.