| 2025 | KDD | Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking. | Qing Zhang, Alex Deng, Michelle Du, Huiji Gao, Liwei He, Sanjeev Katariya |
| 2025 | NAACL | FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data. | Deren Lei, Yaxi Li, Siyao Li, Mengya Hu, Rui Xu, Ken Archer, Mingyu Wang, Emily Ching, Alex Deng |
| 2025 | WACV | InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance. | Rui Xu, Mengya Hu, Deren Lei, Yaxi Li, David Lowe, Alex Gorevski, Mingyu Wang, Emily Ching, Alex Deng |
| 2024 | CIKM | Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning. | Dillon Davis, Huiji Gao, Thomas Legrand, Malay Haldar, Alex Deng, Han Zhao, Liwei He, Sanjeev Katariya |
| 2024 | KDD | Metric Decomposition in A/B Tests. | Alex Deng, Luke Hagar, Nathaniel T. Stevens, Tatiana Xifara, Amit Gandhi |
| 2023 | CIKM | The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods. | Thu Le, Alex Deng |
| 2023 | KDD | Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes. | Alex Deng, Michelle Du, Anna Matlin, Qing Zhang |
| 2023 | WSDM | Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering. | Alex Deng, Lo-Hua Yuan, Naoya Kanai, Alexandre Salama-Manteau |
| 2022 | KDD | A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments. | Ron Kohavi, Alex Deng, Lukas Vermeer |
| 2021 | KDD | On Post-selection Inference in A/B Testing. | Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy |
| 2019 | WWW | A/B Testing at Scale: Accelerating Software Innovation. | Somit Gupta, Ronny Kohavi, Alex Deng, Jeff Omhover, Pawel Janowski |
| 2018 | KDD | Applying the Delta Method in Metric Analytics: A Practical Guide with Novel Ideas. | Alex Deng, Ulf Knoblich, Jiannan Lu |
| 2017 | SIGIR | A/B Testing at Scale: Accelerating Software Innovation. | Alex Deng, Pavel A. Dmitriev, Somit Gupta, Ron Kohavi, Paul Raff, Lukas Vermeer |
| 2017 | WSDM | Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions. | Alex Deng, Jiannan Lu, Jonthan Litz |
| 2016 | DSAA | Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing. | Alex Deng, Jiannan Lu, Shouyuan Chen |
| 2016 | KDD | Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned. | Alex Deng, Xiaolin Shi |
| 2015 | WWW | Objective Bayesian Two Sample Hypothesis Testing for Online Controlled Experiments. | Alex Deng |
| 2015 | WWW | Objective Bayesian Two Sample Hypothesis Testing for Online Controlled Experiments. | Alex Deng |
| 2015 | WSDM | Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments. | Alex Deng, Victor Hu |
| 2014 | KDD | Seven rules of thumb for web site experimenters. | Ron Kohavi, Alex Deng, Roger Longbotham, Ya Xu |
| 2014 | WWW | Statistical inference in two-stage online controlled experiments with treatment selection and validation. | Alex Deng, Tianxi Li, Yu Guo |
| 2013 | KDD | Online controlled experiments at large scale. | Ron Kohavi, Alex Deng, Brian Frasca, Toby Walker, Ya Xu, Nils Pohlmann |
| 2013 | WSDM | Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. | Alex Deng, Ya Xu, Ron Kohavi, Toby Walker |
| 2012 | KDD | Trustworthy online controlled experiments: five puzzling outcomes explained. | Ron Kohavi, Alex Deng, Brian Frasca, Roger Longbotham, Toby Walker, Ya Xu |