Measuring fairness in ranked outputs K Yang, J Stoyanovich Proceedings of the 29th international conference on scientific and …, 2017 | 421 | 2017 |
A nutritional label for rankings K Yang, J Stoyanovich, A Asudeh, B Howe, HV Jagadish, G Miklau Proceedings of the 2018 international conference on management of data, 1773 …, 2018 | 132 | 2018 |
Fairness in ranking: A survey M Zehlike, K Yang, J Stoyanovich arXiv preprint arXiv:2103.14000, 2021 | 103 | 2021 |
Online set selection with fairness and diversity constraints J Stoyanovich, K Yang, HV Jagadish Proceedings of the EDBT Conference, 2018 | 98 | 2018 |
Fairness in ranking, part i: Score-based ranking M Zehlike, K Yang, J Stoyanovich ACM Computing Surveys 55 (6), 1-36, 2022 | 92 | 2022 |
Balanced Ranking with Diversity Constraints K Yang, V Gkatzelis, J Stoyanovich the Twenty-Eighth International Joint Conference on Artificial Intelligence …, 2019 | 75 | 2019 |
Fairness in ranking, part ii: Learning-to-rank and recommender systems M Zehlike, K Yang, J Stoyanovich ACM Computing Surveys 55 (6), 1-41, 2022 | 73 | 2022 |
Causal intersectionality for fair ranking K Yang, JR Loftus, J Stoyanovich arXiv preprint arXiv:2006.08688, 2020 | 64 | 2020 |
Fairness-Aware Instrumentation of Preprocessing~ Pipelines for Machine Learning K Yang, B Huang, J Stoyanovich, S Schelter Workshop on Human-In-the-Loop Data Analytics (HILDA'20), 2020 | 45 | 2020 |
Overview of web spammer detection 莫倩, 杨珂 Journal of software 25 (7), 1505-1526, 2014 | 26 | 2014 |
Analyzing spectrum features of weight user relation graph to identify large spammer groups in online shopping websites Z Han, K Yang, X Tan Jisuanji Xuebao 40 (4), 939-954, 2017 | 12 | 2017 |
Fairness in ranking: A survey. CoRR abs/2103.14000 (2021) M Zehlike, K Yang, J Stoyanovich arXiv preprint arXiv:2103.14000, 2021 | 9 | 2021 |
Probabilistic graphical model for detecting spammers in microblog websites Z Han, K Yang, F Xu, D Duan International Journal of Embedded Systems 8 (1), 12-23, 2016 | 8 | 2016 |
Tutorials at the web conference 2023 V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ... Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023 | 7 | 2023 |
Causal intersectionality and fair ranking Y Ke, R Loftus Joshua, S Julia 2nd Symposium on Foundations of Responsible Computing, FORC 2021, June 9–11 …, 2021 | 2 | 2021 |
Fairness in Ranking: From Values to Technical Choices and Back J Stoyanovich, M Zehlike, K Yang Companion of the 2023 International Conference on Management of Data, 7-12, 2023 | 1 | 2023 |
A Nutritional Label for Rankings J Stoyanovich, K Yang, A Asudeh, B Howe, HV Jagadish, G Miklau Proceedings of the ACM SIGMOD Conference, 2018 | 1 | 2018 |
Non-invasive fairness in learning through the lens of data drift K Yang, A Meliou 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2164-2178, 2024 | | 2024 |
DEEILS: Data Ethics Embedded Interactive Learning System for Computer Science Students K Yang Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024 | | 2024 |
Fairness, Diversity, and Interpretability in Ranking K Yang New York University Tandon School of Engineering, 2021 | | 2021 |