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20222026
most citedBillion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou

22 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method

Yinan Gao, Jiarong Xu, Xiaohang Zhao +1

Organizational digitalization expands cybersecurity risks, making cybersecurity an increasingly important research area in Information Systems (IS). Among these risks, malware has…

cs.AI2023★ 16 cited

Bias of AI-Generated Content: An Examination of News Produced by Large Language Models

Xiao Fang, Shangkun Che, Minjia Mao +3

Large language models (LLMs) have the potential to transform our lives and work through the content they generate, known as AI-Generated Content (AIGC). To harness this transformat…

cs.LG2023

Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model

Hongzhe Zhang, Xiaohang Zhao, Xiao Fang +1

Disaster response is critical to save lives and reduce damages in the aftermath of a disaster. Fundamental to disaster response operations is the management of disaster relief reso…

cs.AI2022

Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT

Jiaheng Xie, Xiaohang Zhao, Xiang Liu +1

Health sensing for chronic disease management creates immense benefits for social welfare. Existing health sensing studies primarily focus on the prediction of physical chronic dis…

cs.LG2022★ 1 cited

Exploiting Expert Knowledge for Assigning Firms to Industries: A Novel Deep Learning Method

Xiaohang Zhao, Xiao Fang, Jing He +1

Industry assignment, which assigns firms to industries according to a predefined Industry Classification System (ICS), is fundamental to a large number of critical business practic…

cs.LG2022★ 22 cited

Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou

Kunpeng Li, Guangcui Shao, Naijun Yang +2

Customer Life Time Value (LTV) is the expected total revenue that a single user can bring to a business. It is widely used in a variety of business scenarios to make operational de…

cs.LG2022

Diversity Preference-Aware Link Recommendation for Online Social Networks

Kexin Yin, Xiao Fang, Bintong Chen +1

Link recommendation, which recommends links to connect unlinked online social network users, is a fundamental social network analytics problem with ample business implications. Exi…