17 citations · 19 across the 3 of their papers we have counts for
4 papers
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth
Yuxiang Wei, Zhaoxin Qiu, Yingjie Li +2
As a key component in boosting online user growth, uplift modeling aims to measure individual user responses (e.g., whether to play the game) to various treatments, such as gaming…
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information
Yun Luo, Zhen Yang, Fandong Meng +3
Argument structure extraction (ASE) aims to identify the discourse structure of arguments within documents. Previous research has demonstrated that contextual information is crucia…
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture
Yingjie Li, Weilu Gao, Cunxi Yu
Recently, there are increasing efforts on advancing optical neural networks (ONNs), which bring significant advantages for machine learning (ML) in terms of power efficiency, paral…
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
Chaoyun Zhang, Kai Wang, Hao Chen +4
Matchmaking systems are vital for creating fair matches in online multiplayer games, which directly affects players' satisfactions and game experience. Most of the matchmaking syst…