Search Results for author: Wenjing Ma

Found 5 papers, 1 papers with code

LogicPrpBank: A Corpus for Logical Implication and Equivalence

1 code implementation14 Feb 2024 Zhexiong Liu, Jing Zhang, Jiaying Lu, Wenjing Ma, Joyce C Ho

Logic reasoning has been critically needed in problem-solving and decision-making.

Decision Making

A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises

no code implementations7 Jun 2023 Hejie Cui, Jiaying Lu, ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, Zhaohui S. Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang

This comprehensive review aims to provide an overview of the current state of Healthcare Knowledge Graphs (HKGs), including their construction, utilization models, and applications across various healthcare and biomedical research domains.

Knowledge Graphs

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting

no code implementations12 Apr 2023 Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang

Medical decision-making processes can be enhanced by comprehensive biomedical knowledge bases, which require fusing knowledge graphs constructed from different sources via a uniform index system.

Decision Making Knowledge Graphs

Ad Serving Using a Compact Allocation Plan

no code implementations16 Mar 2012 Peiji Chen, Wenjing Ma, Srinath Mandalapu, Chandrashekhar Nagarajan, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Manfai Yu, Jason Zien

A large fraction of online display advertising is sold via guaranteed contracts: a publisher guarantees to the advertiser a certain number of user visits satisfying the targeting predicates of the contract.

Data Structures and Algorithms

SHALE: An Efficient Algorithm for Allocation of Guaranteed Display Advertising

no code implementations16 Mar 2012 Vijay Bharadwaj, Peiji Chen, Wenjing Ma, Chandrashekhar Nagarajan, John Tomlin, Sergei Vassilvitskii, Erik Vee, Jian Yang

Motivated by the problem of optimizing allocation in guaranteed display advertising, we develop an efficient, lightweight method of generating a compact {\em allocation plan} that can be used to guide ad server decisions.

Data Structures and Algorithms

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