activity
20172025
most citedThrough a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users

142 citations · 213 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2025

CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets

Yujing Wang, Yiren Chen, Huoran Li +18

As global e-commerce platforms continue to expand, companies are entering new markets where they encounter cold-start challenges due to limited human labels and user behaviors. In…

cs.CY2021★ 4 cited

Understanding Diffusion of Recurrent Innovations

Fuqi Lin

The diffusion of innovations theory has been studied for years. Previous research efforts mainly focus on key elements, adopter categories, and the process of innovation diffusion.…

cs.SI2019★ 2 cited

A Systematic Analysis of Fine-Grained Human Mobility Prediction with On-Device Contextual Data

Huoran Li

User mobility prediction is widely considered to be helpful for various sorts of location based services on mobile devices. A large amount of studies have explored different algori…

cs.HC2018★ 16 cited

Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data

Huoran Li, Xuanzhe Liu, Qiaozhu Mei

Smartphones and smartphone apps have undergone an explosive growth in the past decade. However, smartphone battery technology hasn't been able to keep pace with the rapid growth of…

cs.SE2017★ 2 cited

Mining Device-Specific Apps Usage Patterns from Large-Scale Android Users

Huoran Li, Xuan Lu

When smartphones, applications (a.k.a, apps), and app stores have been widely adopted by the billions, an interesting debate emerges: whether and to what extent do device models in…

cs.HC2017★ 142 cited

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users

Zhenpeng Chen, Xuan Lu, Wei Ai +3

Based on a large data set of emoji using behavior collected from smartphone users over the world, this paper investigates gender-specific usage of emojis. We present various intere…

cs.CY2017★ 47 cited

Mining Behavioral Patterns from Millions of Android Users

Xuanzhe Liu, Huoran Li, Xuan Lu +4

The prevalence of smart mobile devices has promoted the popularity of mobile applications (a.k.a. apps). Supporting mobility has become a promising trend in software engineering re…