| 2026 | WWW | Feature-PI: A Data Repository for Learning-based Feature Importance Estimation. | Yin Lou |
| 2024 | KDD | On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. | Chengyao Wen, Yin Lou |
| 2024 | SIGMOD | Reproducibility Report for ACM SIGMOD 2024 Paper: 'Grafite: Taming Adversarial Queries with Optimal Range Filters'. | Carlos E. Muiz-Cuza, Yin Lou, Kyoseung Koo, Marco Costa, Giorgio Vinciguerra |
| 2022 | ICDE | Feature Augmentation with Reinforcement Learning. | Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang |
| 2020 | CIKM | Efficiently Training Intelligible Models for Global Explanations. | Yin Lou, Yongliang Wang, Shiwei Liang, Yang Dong |
| 2019 | KDD | Axiomatic Interpretability for Multiclass Additive Models. | Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana |
| 2018 | AIES | Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation. | Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou |
| 2017 | KDD | BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency. | Yin Lou, Mikhail Obukhov |
| 2015 | KDD | Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission. | Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad |
| 2015 | KDD | Query Workloads for Data Series Indexes. | Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke |
| 2013 | KDD | Accurate intelligible models with pairwise interactions. | Yin Lou, Rich Caruana, Johannes Gehrke, Giles Hooker |
| 2012 | ECCV | MatchMiner: Efficient Spanning Structure Mining in Large Image Collections. | Yin Lou, Noah Snavely, Johannes Gehrke |
| 2012 | KDD | Intelligible models for classification and regression. | Yin Lou, Rich Caruana, Johannes Gehrke |
| 2011 | SIGMOD | ATLAS: a probabilistic algorithm for high dimensional similarity search. | Jiaqi Zhai, Yin Lou, Johannes Gehrke |