Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati (2023), Value- Aware Active Learning, Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi (Eds.), In HHAI 2023 p.215-223, IOS Press.

Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati (2023), Value-Based Hybrid Intelligence, Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi (Eds.), In HHAI 2023 p.366-370, IOS Press.

Agathe Balayn, Mireia Yurrita, Jie Yang, Ujwal Gadiraju (2023), “☑ Fairness Toolkits, A Checkbox Culture?” On the Factors that Fragment Developer Practices in Handling Algorithmic Harms, In AIES 2023 - Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society p.482–495, Association for Computing Machinery (ACM).

Ioannis Petros Samiotis, Sihang Qiu, Christoph Lofi, Jie Yang, Ujwal Gadiraju, Alessandro Bozzon (2022), An Analysis of Music Perception Skills on Crowdsourcing Platforms, In Frontiers in Artificial Intelligence Volume 5.

P. Zhu, Z. Wang, J. Yang, C. Hauff, A. Anand (2022), Answer Quality Aware Aggregation for Extractive QA Crowdsourcing, In Findings of the Association for Computational Linguistics: EMNLP 2022 p.6147-6159, Association for Computational Linguistics (ACL).

Shreyan Biswas, Lorenzo Corti, Stefan Buijsman, Jie Yang (2022), CHIME: Causal Human-in-the-Loop Model Explanations, Jane Hsu, Ming Yin (Eds.), In Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing p.27-39.

Weizheng Wang, Marek Vette, Qing Wang, Jie Yang, Marco Zuniga (2022), CamPressID: Optimizing Camera Configuration and Finger Pressure for Biometric Authentication, Cristina Ceballos (Eds.), In Proceedings of the 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS) p.229-235, IEEE.

K.S. Goedemondt, J. Yang, Q. Wang (2022), Embedded AI Enabled Air-Writing for a Post-COVID World: Extended Abstract, Jérôme Louveaux, François Quitin (Eds.), In 42nd WIC Symposium on Information Theory and Signal Processing in the Benelux (SITB 2022) p.67-68.

Agathe Balayn, Natasa Rikalo, Christoph Lofi, Jie Yang, Alessandro Bozzon (2022), How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models?, In CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM).

Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux (2022), Human-in-the-Loop Rule Discovery for Micropost Event Detection, In IEEE Transactions on Knowledge and Data Engineering Volume 35 p.8100-8111.