Trustworthy online controlled experiments: five puzzling outcomes explained. - Ron Kohavi; Alex Deng; Brian Frasca; Roger Longbotham; Toby Walker; Ya Xu (KDD, 2012)

Online controlled experiments at large scale. - Ron Kohavi; Alex Deng; Brian Frasca; Toby Walker; Ya Xu; Nils Pohlmann (KDD, 2013)

Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. - Alex Deng; Ya Xu; Ron Kohavi; Toby Walker (WSDM, 2013)

Seven rules of thumb for web site experimenters. - Ron Kohavi; Alex Deng; Roger Longbotham; Ya Xu (KDD, 2014)

Statistical inference in two-stage online controlled experiments with treatment selection and validation. - Alex Deng; Tianxi Li; Yu Guo (WWW, 2014)

Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments. - Alex Deng; Victor Hu (WSDM, 2015)

Objective Bayesian Two Sample Hypothesis Testing for Online Controlled Experiments. - Alex Deng (WWW (Companion Volume), 2015)

Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing. - Alex Deng; Jiannan Lu; Shouyuan Chen (DSAA, 2016)

Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned. - Alex Deng; Xiaolin Shi (KDD, 2016)

A/B Testing at Scale: Accelerating Software Innovation. - Alex Deng; Pavel A. Dmitriev; Somit Gupta; Ron Kohavi; Paul Raff; Lukas Vermeer (SIGIR, 2017)

Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions. - Alex Deng; Jiannan Lu; Jonthan Litz (WSDM, 2017)

Applying the Delta Method in Metric Analytics: A Practical Guide with Novel Ideas. - Alex Deng; Ulf Knoblich; Jiannan Lu (KDD, 2018)

The A/B Testing Problem. - Eduardo M. Azevedo; Alex Deng; Jose Luis Montiel Olea; Justin Rao; E. Glen Weyl (EC, 2018)

A/B Testing at Scale: Accelerating Software Innovation. - Somit Gupta; Ronny Kohavi; Alex Deng; Jeff Omhover; Pawel Janowski (WWW (Companion Volume), 2019)

On Post-selection Inference in A/B Testing. - Alex Deng; Yicheng Li; Jiannan Lu; Vivek Ramamurthy (KDD, 2021)

A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments. - Ron Kohavi; Alex Deng; Lukas Vermeer (KDD, 2022)

Continuous Attribution of Episodical Outcomes for More Efficient and Targeted Online Measurement. - Alex Deng; Michelle Du; Anna Matlin (CoRR, 2022)

The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods. - Thu Le; Alex Deng (CIKM, 2023)

Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes. - Alex Deng; Michelle Du; Anna Matlin; Qing Zhang (KDD, 2023)

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 (WSDM, 2023)

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 (CIKM, 2024)

Metric Decomposition in A/B Tests. - Alex Deng; Luke Hagar; Nathaniel T. Stevens; Tatiana Xifara; Amit Gandhi (KDD, 2024)

SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection. - Mengya Hu; Rui Xu; Deren Lei; Yaxi Li; Mingyu Wang; Emily Ching; Eslam Kamal; Alex Deng (CoRR, 2024)

Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning. - Dillon Davis; Huiji Gao; Weiwei Guo; Thomas Legrand; Malay Haldar; Alex Deng; Han Zhao; Liwei He; Sanjeev Katariya (CoRR, 2024)

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 (NAACL (Long Papers), 2025)

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 (WACV, 2025)

Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking. - Qing Zhang; Alex Deng; Michelle Du; Huiji Gao; Liwei He; Sanjeev Katariya (CoRR, 2025)