Probabilistic graphical model for detecting spammers in microblog websites. - Zhongming Han; Ke Yang 003; Fengmin Xu; Dagao Duan (Int. J. Embed. Syst., 2016)

Measuring Fairness in Ranked Outputs. - Ke Yang 003; Julia Stoyanovich (SSDBM, 2017)

Online Set Selection with Fairness and Diversity Constraints. - Julia Stoyanovich; Ke Yang 003; H. V. Jagadish (EDBT, 2018)

A Nutritional Label for Rankings. - Ke Yang 003; Julia Stoyanovich; Abolfazl Asudeh; Bill Howe; H. V. Jagadish; Gerome Miklau (SIGMOD Conference, 2018)

Balanced Ranking with Diversity Constraints. - Ke Yang 003; Vasilis Gkatzelis; Julia Stoyanovich (IJCAI, 2019)

Causal intersectionality for fair ranking. - Ke Yang 003; Joshua R. Loftus; Julia Stoyanovich (CoRR, 2020)

Causal Intersectionality and Fair Ranking. - Ke Yang 003; Joshua R. Loftus; Julia Stoyanovich (FORC, 2021)

Fairness in Ranking: A Survey. - Meike Zehlike; Ke Yang 003; Julia Stoyanovich (CoRR, 2021)

Fairness in Ranking: From Values to Technical Choices and Back. - Julia Stoyanovich; Meike Zehlike; Ke Yang 003 (SIGMOD Conference Companion, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems. - Meike Zehlike; Ke Yang 003; Julia Stoyanovich (ACM Comput. Surv., 2023)

Fairness in Ranking, Part I: Score-Based Ranking. - Meike Zehlike; Ke Yang 003; Julia Stoyanovich (ACM Comput. Surv., 2023)

Non-Invasive Fairness in Learning Through the Lens of Data Drift. - Ke Yang 003; Alexandra Meliou (ICDE, 2024)

DEEILS: Data Ethics Embedded Interactive Learning System for Computer Science Students. - Ke Yang 003 (SIGCSE (2), 2024)

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. - Ke Yang 003; Yao Liu 009; Sapana Chaudhary; Rasool Fakoor; Pratik Chaudhari; George Karypis; Huzefa Rangwala (ICLR, 2025)

Perception-aware Sampling for Scatterplot Visualizations. - Zafeiria Moumoulidou; Hamza Elhamdadi; Ke Yang 003; Subrata Mitra; Cindy Xiong Bearfield; Alexandra Meliou (CoRR, 2025)