Xiaoyang Wang

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Zhejiang Gongshang University ∙ University of Bristol ∙ Tencent ∙ Peking University

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Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

Smart contract vulnerability detection draws extensive attention in rece...
07/24/2021 ∙ by Zhenguang Liu, et al. ∙ 0 ∙ share

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Efficient Processing of k-regret Minimization Queries with Theoretical Guarantees

Assisting end users to identify desired results from a large dataset is ...
03/22/2021 ∙ by Jiping Zheng, et al. ∙ 0 ∙ share

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Self-play Learning Strategies for Resource Assignment in Open-RAN Networks

Open Radio Access Network (ORAN) is being developed with an aim to democ...
03/03/2021 ∙ by Xiaoyang Wang, et al. ∙ 0 ∙ share

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NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation

In this paper, we propose a Chinese multi-turn topic-driven conversation...
03/03/2021 ∙ by Xiaoyang Wang, et al. ∙ 1 ∙ share

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Automatic Summarization of Open-Domain Podcast Episodes

We present implementation details of our abstractive summarizers that ac...
11/09/2020 ∙ by Kaiqiang Song, et al. ∙ 8 ∙ share

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"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills

The home voice assistants such as Amazon Alexa have become increasingly ...
10/21/2020 ∙ by Dan Su, et al. ∙ 0 ∙ share

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Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems

Matrix Factorization (MF) has been widely applied in machine learning an...
06/24/2020 ∙ by Yuanhang Yu, et al. ∙ 0 ∙ share

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Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints

Text generation from a knowledge base aims to translate knowledge triple...
05/03/2020 ∙ by Zhenyi Wang, et al. ∙ 0 ∙ share

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VulnDS: Top-k Vulnerable SME Detection System in Networked-Loans

Groups of small and medium enterprises (SMEs) can back each other to obt...
12/28/2019 ∙ by Dawei Cheng, et al. ∙ 0 ∙ share

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Lipschitz Learning for Signal Recovery

We consider the recovery of signals from their observations, which are s...
10/04/2019 ∙ by Hong Jiang, et al. ∙ 0 ∙ share

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Location Anomalies Detection for Connected and Autonomous Vehicles

Future Connected and Automated Vehicles (CAV), and more generally ITS, w...
07/01/2019 ∙ by Xiaoyang Wang, et al. ∙ 0 ∙ share

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Critical Edge Identification: A K-Truss Based Model

In a social network, the strength of relationships between users can sig...
06/27/2019 ∙ by Wenjie Zhu, et al. ∙ 0 ∙ share

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STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification

In this work, we propose a novel Spatial-Temporal Attention (STA) approa...
11/09/2018 ∙ by Yang Fu, et al. ∙ 0 ∙ share

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Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels

One important assumption underlying common classification models is the ...
06/25/2018 ∙ by Shujian Yu, et al. ∙ 0 ∙ share

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Discovering Communities of Malapps on Android-based Mobile Cyber-physical Systems

Android-based devices like smartphones have become ideal mobile cyber-ph...
04/05/2018 ∙ by Dan Su, et al. ∙ 0 ∙ share

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EdgeFlow: Open-Source Multi-layer Data Flow Processing in Edge Computing for 5G and Beyond

Edge computing has evolved to be a promising avenue to enhance the syste...
01/07/2018 ∙ by Chao Yao, et al. ∙ 0 ∙ share

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