Search Results for author: Quan Yu

Found 7 papers, 1 papers with code

Quantum and Translation Embedding for Knowledge Graph Completion

no code implementations1 Jan 2021 Panfeng Chen, Yisong Wang, Renyan Feng, Xiaomin Yu, Quan Yu

The insight of this work enlightens the notion of dense feature model design for KGC which is a new alternative to Deep Neural networks (DNN) in this task or even a better choice.

Knowledge Graph Completion

Multi-Tubal Rank of Third Order Tensor and Related Low Rank Tensor Completion Problem

no code implementations9 Dec 2020 Quan Yu, Xinzhen Zhang, Zheng-Hai Huang

For this model, a tensor factorization based method is applied and the corresponding convergence anlysis is established.

Optimization and Control

Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference

no code implementations10 Jul 2020 Hang Miao, Kui Zhao, Zhun Wang, Linbo Jiang, Quanhui Jia, Yanming Fang, Quan Yu

Based on these testing data, a response model is then built to measure the heterogeneous treatment effect of increasing credit limits (i. e. treatments) for different customers, who are depicted by several control variables (i. e. features).

Causal Inference

Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs

no code implementations2 May 2020 Zebang Zhang, Kui Zhao, Kai Huang, Quanhui Jia, Yanming Fang, Quan Yu

If the uncertainty of an enterprise's revenue forecasting can be estimated, a more proper credit limit can be granted.

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay

no code implementations1 Apr 2020 Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi

Considering the above challenges and the special scenario in Ant Financial, we try to incorporate default prediction with network information to alleviate the cold-start problem.

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

1 code implementation28 Feb 2020 Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi

Additionally, among the network, only very few of the users are labelled, which also poses a great challenge for only utilizing labeled data to achieve a satisfied performance on fraud detection.

Fraud Detection

A Dynamic Epistemic Framework for Conformant Planning

no code implementations24 Jun 2016 Quan Yu, Yanjun Li, Yanjing Wang

In this paper, we introduce a lightweight dynamic epistemic logical framework for automated planning under initial uncertainty.

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