b'Xiaoyang Wang'

research

∙ 09/08/2023

Unsupervised Multi-document Summarization with Holistic Inference

Multi-document summarization aims to obtain core information from a coll...

0 Haopeng Zhang, et al. ∙

research

∙ 08/01/2023

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models

We consider the problem of eliciting compositional generalization capabi...

0 Jiaao Chen, et al. ∙

research

∙ 06/08/2023

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs

This paper introduces FedMLSecurity, a benchmark that simulates adversar...

7 Shanshan Han, et al. ∙

research

∙ 06/02/2023

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction

Search engine plays a crucial role in satisfying users' diverse informat...

0 Canjia Li, et al. ∙

research

∙ 05/24/2023

Analyzing Influential Factors in Human Preference Judgments via GPT-4

Pairwise human judgments are pivotal in guiding large language models (L...

0 Yebowen Hu, et al. ∙

research

∙ 02/24/2023

Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks

This paper presents a novel approach for multimodal data fusion based on...

0 Mohammud J. Bocus, et al. ∙

research

∙ 12/19/2022

OASum: Large-Scale Open Domain Aspect-based Summarization

Aspect or query-based summarization has recently caught more attention, ...

0 Xianjun Yang, et al. ∙

research

∙ 10/28/2022

Toward Unifying Text Segmentation and Long Document Summarization

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

0 Sangwoo Cho, et al. ∙

research

∙ 10/22/2022

Salience Allocation as Guidance for Abstractive Summarization

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

0 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...

0 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-...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

4 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...

14 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-...

12 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...

0 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 ...

0 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...

0 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...

1 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...

8 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 ...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 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...

0 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...

0 Chao Yao, et al. ∙

Xiaoyang Wang

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