Ke Yang

According to our database, Ke Yang authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents.

Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala

CoRR, 2024

DEEILS: Data Ethics Embedded Interactive Learning System for Computer Science Students.

Ke Yang

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Non-Invasive Fairness in Learning Through the Lens of Data Drift.

Ke Yang, Alexandra Meliou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Fairness in Ranking, Part I: Score-Based Ranking.

Meike Zehlike, Ke Yang, Julia Stoyanovich

ACM Comput. Surv., 2023

Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems.

Meike Zehlike, Ke Yang, Julia Stoyanovich

ACM Comput. Surv., 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Fairness in Ranking: From Values to Technical Choices and Back.

Julia Stoyanovich, Meike Zehlike, Ke Yang

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2021

Fairness in Ranking: A Survey.

Meike Zehlike, Ke Yang, Julia Stoyanovich

CoRR, 2021

Causal Intersectionality and Fair Ranking.

Ke Yang, Joshua R. Loftus, Julia Stoyanovich

Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

2020

Causal intersectionality for fair ranking.

Ke Yang, Joshua R. Loftus, Julia Stoyanovich

CoRR, 2020

2019

Balanced Ranking with Diversity Constraints.

Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A Nutritional Label for Rankings.

Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, Gerome Miklau

Proceedings of the 2018 International Conference on Management of Data, 2018

Online Set Selection with Fairness and Diversity Constraints.

Julia Stoyanovich, Ke Yang, H. V. Jagadish

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

Measuring Fairness in Ranked Outputs.

Ke Yang, Julia Stoyanovich

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

2016

Probabilistic graphical model for detecting spammers in microblog websites.

Zhongming Han, Ke Yang, Fengmin Xu, Dagao Duan

Int. J. Embed. Syst., 2016