G. He, A.M.A. Balayn, S.N.R. Buijsman, J. Yang, Ujwal Gadiraju (2022), It Is Like Finding a Polar Bear in the Savannah! Concept-level AI Explanations with Analogical Inference from Commonsense Knowledge, Jane Hsu, Ming Yin (Eds.), In Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing p.89-101.

P. Zhu, J. Yang, C. Hauff (2022), MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions, 15th International Conference on Educational Data Mining .

Zhen Wang, Xu Shan, Xiangxie Zhang, Jie Yang (2022), N24News: A New Dataset for Multimodal News Classification, Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, Stelios Piperidis (Eds.), In 2022 Language Resources and Evaluation Conference, LREC 2022 p.6768-6775, European Language Resources Association (ELRA).

Alisa Smirnova, Jie Yang, Dingqi Yang, Philippe Cudre-Mauroux (2022), Nessy: A Neuro-Symbolic System for Label Noise Reduction, In IEEE Transactions on Knowledge and Data Engineering Volume 35 p.8300-8311.

Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju (2022), Ready Player One!: Eliciting Diverse Knowledge Using A Configurable Game, F. Laforest, R. Troncy (Eds.), In WWW 2022 p.1709-1719, Association for Computing Machinery (ACM).

Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong (2022), Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling, In SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval p.2900-2911, Association for Computing Machinery (ACM).

Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, Philipe Cudre-Mauroux (2022), Streaming Graph Embeddings via Incremental Neighborhood Sketching, In IEEE Transactions on Knowledge and Data Engineering Volume 35 p.5296-5310.

Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon (2022), What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition, In WWW 2022 - Proceedings of the ACM Web Conference 2022 p.882-892, Association for Computing Machinery (ACM).

Gianluca Demartini, Jie Yang, Shazia Sadiq (2022), Workshop on Human-in-the-loop Data Curation, In CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management p.5161-5162, Association for Computing Machinery (ACM).

Burcu Sayin, Evgeny Krivosheev, Jie Yang, Andrea Passerini, Fabio Casati (2021), A review and experimental analysis of active learning over crowdsourced data, In Artificial Intelligence Review Volume 54 p.5283-5305.