| 2023 | CHI | Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. | Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos |
| 2023 | KDD | Balancing Approach for Causal Inference at Scale. | Sicheng Lin, Meng Xu, Xi Zhang, Shih-Kang Chao, Ying-Kai Huang, Xiaolin Shi |
| 2021 | ICWSM | Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat. | Qi Yang, Weinan Wang, Lucas Pierce, Rajan Vaish, Xiaolin Shi, Neil Shah |
| 2021 | WSDM | How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments. | Yuxiang Xie, Meng Xu, Evan Chow, Xiaolin Shi |
| 2020 | KDD | Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. | Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang |
| 2020 | WWW | Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments. | Somit Gupta, Xiaolin Shi, Pavel A. Dmitriev, Xin Fu |
| 2020 | WSDM | Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments. | Somit Gupta, Xiaolin Shi, Pavel A. Dmitriev, Xin Fu, Avijit Mukherjee |
| 2019 | KDD | Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. | Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren |
| 2019 | KDD | Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments. | Xiaolin Shi, Pavel A. Dmitriev, Somit Gupta, Xin Fu |
| 2018 | KDD | False Discovery Rate Controlled Heterogeneous Treatment Effect Detection for Online Controlled Experiments. | Yuxiang Xie, Nanyu Chen, Xiaolin Shi |
| 2018 | KDD | I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. | Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han |
| 2016 | KDD | Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned. | Alex Deng, Xiaolin Shi |
| 2015 | WSDM | Understanding and Predicting Graded Search Satisfaction. | Jiepu Jiang, Ahmed Hassan Awadallah, Xiaolin Shi, Ryen W. White |
| 2014 | SIGIR | Context-aware web search abandonment prediction. | Yang Song, Xiaolin Shi, Ryen White, Ahmed Hassan Awadallah |
| 2013 | CIKM | Beyond clicks: query reformulation as a predictor of search satisfaction. | Ahmed Hassan Awadallah, Xiaolin Shi, Nick Craswell, Bill Ramsey |
| 2013 | WWW | Evaluating and predicting user engagement change with degraded search relevance. | Yang Song, Xiaolin Shi, Xin Fu |
| 2011 | ICWSM | LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. | Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky |
| 2011 | WWW | Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success. | Simla Ceyhan, Xiaolin Shi, Jure Leskovec |
| 2009 | ICWSM | Information Diffusion in Computer Science Citation Networks. | Xiaolin Shi, Belle L. Tseng, Lada A. Adamic |
| 2009 | KDD | User grouping behavior in online forums. | Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang |
| 2007 | ICWSM | Looking at the Blogosphere Topology through Different Lenses. | Xiaolin Shi, Belle L. Tseng, Lada A. Adamic |
| 2006 | ISCAS | Mean square error analysis of RLS algorithm for WSSUS fading channels. | Xiaolin Shi, Shu-hung Leung, Chi-Sing Leung |