235 citations
- Carnegie Mellon UniversityUS5 papers
- University of WashingtonUS5 papers
- Princeton UniversityUS3 papers
- Northwestern UniversityUS2 papers
- Pennsylvania State UniversityUS2 papers
- Stony Brook UniversityUS2 papers
- University of GroningenNL2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- University of Southern CaliforniaUS2 papers
- Adobe Systems (United States)US1 paper
- BC Platforms (Finland)FI1 paper
- Brandman UniversityUS1 paper
6 papers · 1 filter
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 +1
Effectively measuring, understanding, and improving mobile app performance is of paramount importance for mobile app developers. Across the mobile Internet landscape, companies run…
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
Zhentao Tan, Menglei Chai, Dongdong Chen +5
Despite the recent success of face image generation with GANs, conditional hair editing remains challenging due to the under-explored complexity of its geometry and appearance. In…
CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments
Weinan Wang, Xi Zhang
In many industry settings, online controlled experimentation (A/B test) has been broadly adopted as the gold standard to measure product or feature impacts. Most research has prima…
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps
Xianfeng Tang, Yozen Liu, Neil Shah +3
With the rapid growth and prevalence of social network applications (Apps) in recent years, understanding user engagement has become increasingly important, to provide useful insig…
Human Motion Transfer from Poses in the Wild
Jian Ren, Menglei Chai, Sergey Tulyakov +3
In this paper, we tackle the problem of human motion transfer, where we synthesize novel motion video for a target person that imitates the movement from a reference video. It is a…
Structure-Adaptive Sequential Testing for Online False Discovery Rate Control
Bowen Gang, Wenguang Sun, Weinan Wang
Consider the online testing of a stream of hypotheses where a real--time decision must be made before the next data point arrives. The error rate is required to be controlled at {a…