Huoran Li

According to our database, Huoran Li authored at least 17 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Yujing Wang, Yiren Chen, Huoran Li, Chunxu Xu, Yuchong Luo, Xianghui Mao, Cong Li, Lun Du, Chunyang Ma, Qiqi Jiang, Yin Wang, Fan Gao, Wenting Mo, Pei Wen, Shantanu Kumar, Taejin Park, Yiwei Song, Vijay Rajaram, Tao Cheng, Sonu Durgia, Pranam Kolari

CoRR, September, 2025

2024

Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates.

Fuqi Lin, Xuan Lu, Wei Ai, Huoran Li, Yun Ma, Yulian Yang, Hongfei Deng, Qingxiang Wang, Qiaozhu Mei, Xuanzhe Liu

ACM Trans. Web, February, 2024

2022

Systematic Analysis of Fine-Grained Mobility Prediction With On-Device Contextual Data.

Huoran Li, Fuqi Lin, Xuan Lu, Chenren Xu, Gang Huang, Jun Zhang, Qiaozhu Mei, Xuanzhe Liu

IEEE Trans. Mob. Comput., 2022

2019

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

Huoran Li

CoRR, 2019

2018

Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles.

Xuanzhe Liu, Huoran Li, Xuan Lu, Tao Xie, Qiaozhu Mei, Feng Feng, Hong Mei

IEEE Trans. Software Eng., 2018

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

Huoran Li, Xuanzhe Liu, Qiaozhu Mei

CoRR, 2018

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

Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Mining Device-Specific Apps Usage Patterns from Appstore Big Data.

Huoran Li, Xuanzhe Liu, Hong Mei, Qiaozhu Mei

Proceedings of the Big Data - 6th CCF Conference, 2018

2017

Deriving User Preferences of Mobile Apps from Their Management Activities.

Xuanzhe Liu, Wei Ai, Huoran Li, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei

ACM Trans. Inf. Syst., 2017

PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors.

Xuan Lu, Zhenpeng Chen, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles.

Xuanzhe Liu, Huoran Li, Xuan Lu, Tao Xie, Qiaozhu Mei, Hong Mei, Feng Feng

CoRR, 2017

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

Huoran Li, Xuan Lu

CoRR, 2017

2016

Voting with Their Feet: Inferring User Preferences from App Management Activities.

Huoran Li, Wei Ai, Xuanzhe Liu, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei

Proceedings of the 25th International Conference on World Wide Web, 2016

Mining usage data from large-scale Android users: challenges and opportunities.

Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei, Dan Hao, Gang Huang, Feng Feng

Proceedings of the International Conference on Mobile Software Engineering and Systems, 2016

PRADA: prioritizing android devices for apps by mining large-scale usage data.

Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei, Dan Hao, Gang Huang, Feng Feng

Proceedings of the 38th International Conference on Software Engineering, 2016

2015

A Descriptive Analysis of a Large-Scale Collection of App Management Activities.

Huoran Li, Xuanzhe Liu, Wei Ai, Qiaozhu Mei, Feng Feng

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Characterizing Smartphone Usage Patterns from Millions of Android Users.

Huoran Li, Xuan Lu, Xuanzhe Liu, Tao Xie, Kaigui Bian, Felix Xiaozhu Lin, Qiaozhu Mei, Feng Feng

Proceedings of the 2015 ACM Internet Measurement Conference, 2015