DeepAI

Xiaoyang Wang

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Zhejiang Gongshang University

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UNSW

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University of Illinois at Urbana-Champaign

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University of Bristol

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Tencent

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Peking University

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East China Normal University

Featured Co-authors

Wei Wang
425 publications
Fei Wang
169 publications
Dong Yu
136 publications
Fan Zhang
122 publications
Chen Li
112 publications
Mohsen Guizani
107 publications
Xiaojiang Du
88 publications
Ying Zhang
85 publications
Changyou Chen
79 publications
Yunchao Wei
76 publications
Fei Liu
71 publications

research

∙ 10/28/2022

Toward Unifying Text Segmentation and Long Document Summarization

Text segmentation is important for signaling a document's structure. Wit...

Sangwoo Cho, et al. ∙

research

∙ 10/22/2022

Salience Allocation as Guidance for Abstractive Summarization

Abstractive summarization models typically learn to capture the salient ...

Fei Wang, et al. ∙

research

∙ 10/21/2022

Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination

Large-scale pretrained language models have made significant advances in...

Yue Yang, et al. ∙

research

∙ 10/04/2022

Invariant Aggregator for Defending Federated Backdoor Attacks

Federated learning is gaining popularity as it enables training of high-...

Xiaoyang Wang, et al. ∙

research

∙ 09/13/2022

Federated Meta-Learning for Traffic Steering in O-RAN

The vision of 5G lies in providing high data rates, low latency (for the...

Hakan Erdol, et al. ∙

research

∙ 08/31/2022

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning

Setting the transmit power setting of 5G cells has been a long-term topi...

Peizheng Li, et al. ∙

research

∙ 08/13/2022

Happiness Maximizing Sets under Group Fairness Constraints (Technical Report)

Finding a happiness maximizing set (HMS) from a database, i.e., selectin...

Jiping Zheng, et al. ∙

research

∙ 08/03/2022

Multimodal sensor fusion in the latent representation space

A new method for multimodal sensor fusion is introduced. The technique r...

Robert J. Piechocki, et al. ∙

research

∙ 06/27/2022

Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model

Measuring customer experience on mobile data is of utmost importance for...

Peizheng Li, et al. ∙

research

∙ 06/08/2022

Sim2real for Reinforcement Learning Driven Next Generation Networks

The next generation of networks will actively embrace artificial intelli...

Peizheng Li, et al. ∙

research

∙ 03/22/2022

Towards Abstractive Grounded Summarization of Podcast Transcripts

Podcasts have recently shown a rapid rise in popularity. Summarization o...

Kaiqiang Song, et al. ∙

research

∙ 11/12/2021

RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN

Radio access network (RAN) technologies continue to witness massive grow...

Peizheng Li, et al. ∙

research

∙ 09/08/2021

AppQ: Warm-starting App Recommendation Based on View Graphs

Current app ranking and recommendation systems are mainly based on user-...

Dan Su, et al. ∙

research

∙ 07/24/2021

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

Smart contract vulnerability detection draws extensive attention in rece...

Zhenguang Liu, et al. ∙

research

∙ 03/22/2021

Efficient Processing of k-regret Minimization Queries with Theoretical Guarantees

Assisting end users to identify desired results from a large dataset is ...

Jiping Zheng, et al. ∙

research

∙ 03/03/2021

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

Open Radio Access Network (ORAN) is being developed with an aim to democ...

Xiaoyang Wang, et al. ∙

research

∙ 03/03/2021

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

In this paper, we propose a Chinese multi-turn topic-driven conversation...

Xiaoyang Wang, et al. ∙

research

∙ 11/09/2020

Automatic Summarization of Open-Domain Podcast Episodes

We present implementation details of our abstractive summarizers that ac...

Kaiqiang Song, et al. ∙

research

∙ 10/21/2020

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

The home voice assistants such as Amazon Alexa have become increasingly ...

Dan Su, et al. ∙

research

∙ 06/24/2020

Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems

Matrix Factorization (MF) has been widely applied in machine learning an...

Yuanhang Yu, et al. ∙

research

∙ 05/03/2020

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

Text generation from a knowledge base aims to translate knowledge triple...

Zhenyi Wang, et al. ∙

research

∙ 12/28/2019

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

Groups of small and medium enterprises (SMEs) can back each other to obt...

Dawei Cheng, et al. ∙

research

∙ 10/04/2019

Lipschitz Learning for Signal Recovery

We consider the recovery of signals from their observations, which are s...

Hong Jiang, et al. ∙

research

∙ 07/01/2019

Location Anomalies Detection for Connected and Autonomous Vehicles

Future Connected and Automated Vehicles (CAV), and more generally ITS, w...

Xiaoyang Wang, et al. ∙

research

∙ 06/27/2019

Critical Edge Identification: A K-Truss Based Model

In a social network, the strength of relationships between users can sig...

Wenjie Zhu, et al. ∙

research

∙ 11/09/2018

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

In this work, we propose a novel Spatial-Temporal Attention (STA) approa...

Yang Fu, et al. ∙

research

∙ 06/25/2018

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

One important assumption underlying common classification models is the ...

Shujian Yu, et al. ∙

research

∙ 04/05/2018

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

Android-based devices like smartphones have become ideal mobile cyber-ph...

Dan Su, et al. ∙

research

∙ 01/07/2018

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...

Chao Yao, et al. ∙