Search Results for author: Susie Xi Rao

Found 10 papers, 4 papers with code

Building Floorspace in China: A Dataset and Learning Pipeline

no code implementations3 Mar 2023 Peter Egger, Susie Xi Rao, Sebastiano Papini

This paper provides a first milestone in measuring the floorspace of buildings (that is, building footprint and height) for 40 major Chinese cities.

Time Series Analysis

SAINE: Scientific Annotation and Inference Engine of Scientific Research

no code implementations28 Feb 2023 Susie Xi Rao, Yilei Tu, Peter H. Egger

We present SAINE, an Scientific Annotation and Inference ENgine based on a set of standard open-source software, such as Label Studio and MLflow.

Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning

no code implementations1 Feb 2023 Susie Xi Rao, Peter H. Egger, Ce Zhang

This paper presents a hierarchical classification system that automatically categorizes a scholarly publication using its abstract into a three-tier hierarchical label set (discipline, field, subfield) in a multi-class setting.

Classification

Neural Methods for Logical Reasoning Over Knowledge Graphs

1 code implementation ICLR 2022 Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang

We introduce a set of models that use Neural Networks to create one-point vector embeddings to answer the queries.

Benchmarking Knowledge Graphs +2

BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection

no code implementations25 May 2022 Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang

Apart from rule-based and machine learning filters that are already deployed in production, we want to enable efficient real-time inference with graph neural networks (GNNs), which is useful to catch multihop risk propagation in a transaction graph.

Entity Embeddings Fraud Detection

Modelling graph dynamics in fraud detection with "Attention"

1 code implementation22 Apr 2022 Susie Xi Rao, Clémence Lanfranchi, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang

At online retail platforms, detecting fraudulent accounts and transactions is crucial to improve customer experience, minimize loss, and avoid unauthorized transactions.

Fraud Detection

Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks

no code implementations20 Dec 2020 Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang

Massive account registration has raised concerns on risk management in e-commerce companies, especially when registration increases rapidly within a short time frame.

Management

xFraud: Explainable Fraud Transaction Detection

1 code implementation24 Nov 2020 Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang

At online retail platforms, it is crucial to actively detect the risks of transactions to improve customer experience and minimize financial loss.

Explainable Models Fraud Detection +1

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