Search Results for author: Wenxin Li

Found 13 papers, 2 papers with code

A Fusion Method Based on Decision Reliability Ratio for Finger Vein Verification

no code implementations17 Dec 2016 Liao Ni, Yi Zhang, He Zheng, Shilei Liu, Houjun Huang, Wenxin Li

Our work is first to define decision reliability ratio to quantify this confidence, and then propose the Maximum Decision Reliability Ratio (MDRR) fusion method incorporating Weighted Voting.

Learning to Design Games: Strategic Environments in Reinforcement Learning

no code implementations5 Jul 2017 Haifeng Zhang, Jun Wang, Zhiming Zhou, Wei-Nan Zhang, Ying Wen, Yong Yu, Wenxin Li

In typical reinforcement learning (RL), the environment is assumed given and the goal of the learning is to identify an optimal policy for the agent taking actions through its interactions with the environment.

reinforcement-learning Reinforcement Learning (RL)

A Model for Medical Diagnosis Based on Plantar Pressure

no code implementations28 Feb 2018 Guoxiong Xu, Zhengfei Wang, Hongshi Huang, Wenxin Li, Can Liu, Shilei Liu

Here, we propose a model using convolutional neural network based on plantar pressure for medical diagnosis.

Medical Diagnosis

Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation

no code implementations14 Nov 2018 Haifeng Zhang, Zilong Guo, Han Cai, Chris Wang, Wei-Nan Zhang, Yong Yu, Wenxin Li, Jun Wang

With the rapid growth of the express industry, intelligent warehouses that employ autonomous robots for carrying parcels have been widely used to handle the vast express volume.

Layout Design

Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection

1 code implementation27 Mar 2020 Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxin Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia

In this paper, we formulate the task of differentiating viral pneumonia from non-viral pneumonia and healthy controls into an one-class classification-based anomaly detection problem, and thus propose the confidence-aware anomaly detection (CAAD) model, which consists of a shared feature extractor, an anomaly detection module, and a confidence prediction module.

Binary Classification Classification +2

Submodular Maximization in Clean Linear Time

no code implementations16 Jun 2020 Wenxin Li, Moran Feldman, Ehsan Kazemi, Amin Karbasi

In this paper, we provide the first deterministic algorithm that achieves the tight $1-1/e$ approximation guarantee for submodular maximization under a cardinality (size) constraint while making a number of queries that scales only linearly with the size of the ground set $n$.

Movie Recommendation Text Summarization +1

A Note on Optimizing the Ratio of Monotone Supermodular Functions

no code implementations16 Dec 2020 Wenxin Li

We show that for the problem of minimizing (or maximizing) the ratio of two supermodular functions, no bounded approximation ratio can be achieved via polynomial number of queries, if the two supermodular functions are both monotone non-decreasing or non-increasing.

期货领域知识图谱构建(Construction of Knowledge Graph in Futures Field)

no code implementations CCL 2022 Wenxin Li, Hongying Zan, Tongfeng Guan, Yingjie Han

“期货领域是数据最丰富的领域之一, 本文以商品期货的研究报告为数据来源构建了期货领域知识图谱(Commodity Futures Knowledge Graph, CFKG)。以期货产品为核心, 确立了概念分类体系及关系描述体系, 形成图谱的概念层;在MHS-BIA与GPN模型的基础上, 通过领域专家指导对242万字的研报文本进行标注与校对, 形成了CFKG数据层, 并设计了可视化查询系统。所构建的CFKG包含17, 003个农产品期货关系三元组、13, 703种非农产品期货关系三元组, 为期货领域文本分析、舆情监控和推理决策等应用提供知识支持。”

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