b'Jun Zhao'

research

∙ 09/17/2023

User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks

The large population of wireless users is a key driver of data-crowdsour...

0 Tinghao Zhang, et al. ∙

research

∙ 09/09/2023

MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images

In the real world, knowledge often exists in a multimodal and heterogene...

0 Weihao Liu, et al. ∙

research

∙ 08/31/2023

Interpreting Sentiment Composition with Latent Semantic Tree

As the key to sentiment analysis, sentiment composition considers the cl...

0 Zhongtao Jiang, et al. ∙

research

∙ 08/30/2023

Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA

Knowledge-based visual question answering is a very challenging and wide...

0 Yang Zhou, et al. ∙

research

∙ 08/28/2023

ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models

The unprecedented performance of large language models (LLMs) requires c...

0 Baoli Zhang, et al. ∙

research

∙ 08/25/2023

Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons

Pre-trained language models (PLMs) contain vast amounts of factual knowl...

0 Yuheng Chen, et al. ∙

research

∙ 08/20/2023

LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models

With the burgeoning development in the realm of large language models (L...

0 Yixuan Weng, et al. ∙

research

∙ 08/08/2023

Heterogeneous 360 Degree Videos in Metaverse: Differentiated Reinforcement Learning Approaches

Advanced video technologies are driving the development of the futuristi...

0 Wenhan Yu, et al. ∙

research

∙ 06/26/2023

Long-living Service for Cooperative Knowledge Use in Decentralized Data Stores

Personal Data Stores (PDS) like SoLiD is an emerging data and knowledge ...

0 Rui Zhao, et al. ∙

research

∙ 06/08/2023

Actively Supervised Clustering for Open Relation Extraction

Current clustering-based Open Relation Extraction (OpenRE) methods usual...

0 Jun Zhao, et al. ∙

research

∙ 06/08/2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction

Semantic matching is a mainstream paradigm of zero-shot relation extract...

0 Jun Zhao, et al. ∙

research

∙ 06/08/2023

Open Set Relation Extraction via Unknown-Aware Training

The existing supervised relation extraction methods have achieved impres...

0 Jun Zhao, et al. ∙

research

∙ 06/01/2023

How Should We Support Designing Privacy-Friendly Apps for Children? Using a Research through Design Process to Understand Developers' Needs and Challenges

Mobile apps used by children often make use of harmful techniques, such ...

0 Anirudh Ekambaranathan, et al. ∙

research

∙ 05/29/2023

A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection

Unmanned aerial vehicles (UAVs) are promising for providing communicatio...

0 Peiyuan Si, et al. ∙

research

∙ 05/23/2023

Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database

In Textual question answering (TQA) systems, complex questions often req...

0 Minjun Zhu, et al. ∙

research

∙ 05/09/2023

Large Language Models Need Holistically Thought in Medical Conversational QA

The medical conversational question answering (CQA) system aims at provi...

0 Yixuan Weng, et al. ∙

research

∙ 05/05/2023

Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question

Hybrid question answering (HybridQA) over the financial report contains ...

0 Yifan Wei, et al. ∙

research

∙ 04/04/2023

Neural Comprehension: Language Models with Compiled Neural Networks

Language models have achieved impressive results in natural language pro...

0 Yixuan Weng, et al. ∙

research

∙ 04/01/2023

Human-Centric Resource Allocation in the Metaverse over Wireless Communications

The Metaverse will provide numerous immersive applications for human use...

0 Jun Zhao, et al. ∙

research

∙ 03/18/2023

Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer

Development of defenses against physical world attacks such as adversari...

0 Terence Jie Chua, et al. ∙

research

∙ 03/18/2023

Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach

The Metaverse play-to-earn games have been gaining popularity as they en...

0 Terence Jie Chua, et al. ∙

research

∙ 03/18/2023

Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning

Real-time Digital Twinning of physical world scenes onto the Metaverse i...

0 Terence Jie Chua, et al. ∙

research

∙ 03/08/2023

Virtual Reality in Metaverse over Wireless Networks with User-centered Deep Reinforcement Learning

The Metaverse and its promises are fast becoming reality as maturing tec...

0 Wenhan Yu, et al. ∙

research

∙ 02/27/2023

Before and after China's new Data Laws: Privacy in Apps

Privacy in apps is a topic of widespread interest because many apps coll...

0 Konrad Kollnig, et al. ∙

research

∙ 02/03/2023

User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks

The Metaverse is emerging as maturing technologies are empowering the di...

0 Wenhan Yu, et al. ∙

research

∙ 01/07/2023

Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules

Knowledge graphs (KGs) play a crucial role in many applications, such as...

0 Yinyu Lan, et al. ∙

research

∙ 01/04/2023

UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach

Metaverse is expected to create a virtual world closely connected with r...

0 Peiyuan Si, et al. ∙

research

∙ 12/30/2022

Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications

Technology advancements in wireless communications and high-performance ...

0 Wenhan Yu, et al. ∙

research

∙ 12/19/2022

Large Language Models are reasoners with Self-Verification

When a large language model (LLM) performs complex reasoning by chain of...

0 Yixuan Weng, et al. ∙

research

∙ 12/19/2022

Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing

The Metaverse can be considered the extension of the present-day web, wh...

0 Terence Jie Chua, et al. ∙

research

∙ 12/19/2022

Mobile Edge Computing for the Metaverse

The Metaverse has emerged as the next generation of the Internet. It aim...

0 Chang Liu, et al. ∙

research

∙ 12/16/2022

Mobile Augmented Reality with Federated Learning in the Metaverse

The Metaverse is deemed the next evolution of the Internet and has recei...

0 Xinyu Zhou, et al. ∙

research

∙ 12/01/2022

A Survey of Mobile Edge Computing for the Metaverse: Architectures, Applications, and Challenges

Metaverse is an emerging virtual universe where humans can have real-tim...

0 Yitong Wang, et al. ∙

research

∙ 11/16/2022

Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality

The Metaverse has received much attention recently. Metaverse applicatio...

0 Xinyu Zhou, et al. ∙

research

∙ 10/24/2022

Generating Hierarchical Explanations on Text Classification Without Connecting Rules

The opaqueness of deep NLP models has motivated the development of metho...

0 Yiming Ju, et al. ∙

research

∙ 10/17/2022

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains

The ability of reasoning over evidence has received increasing attention...

0 Minjun Zhu, et al. ∙

research

∙ 10/11/2022

Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning

Deep Neural Networks (DNNs) have been widely applied in Internet of Thin...

0 Tinghao Zhang, et al. ∙

research

∙ 10/07/2022

Time Minimization in Hierarchical Federated Learning

Federated Learning is a modern decentralized machine learning technique ...

0 Chang Liu, et al. ∙

research

∙ 09/29/2022

Joint Optimization of Energy Consumption and Completion Time in Federated Learning

Federated Learning (FL) is an intriguing distributed machine learning ap...

10 Xinyu Zhou, et al. ∙

research

∙ 09/29/2022

Facial Landmark Predictions with Applications to Metaverse

This research aims to make metaverse characters more realistic by adding...

0 Qiao Han, et al. ∙

research

∙ 09/28/2022

Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence

With the advances of the Internet of Things (IoT) and 5G/6G wireless com...

0 Yitong Wang, et al. ∙

research

∙ 09/27/2022

Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach

Improving the interactivity and interconnectivity between people is one ...

0 Terence Jie Chua, et al. ∙

research

∙ 07/13/2022

Connected Vehicles: A Privacy Analysis

Just as the world of consumer devices was forever changed by the introdu...

0 Mark Quinlan, et al. ∙

research

∙ 04/20/2022

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs

The medical conversational system can relieve the burden of doctors and ...

0 Fei Xia, et al. ∙

research

∙ 04/16/2022

Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography

Although robust PCA has been increasingly adopted to extract vessels fro...

0 Binjie Qin, et al. ∙

research

∙ 03/31/2022

Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning

With the increasing adoption of data-hungry machine learning algorithms,...

0 Ziyao Liu, et al. ∙

research

∙ 03/31/2022

Privacy-Preserving Aggregation in Federated Learning: A Survey

Over the recent years, with the increasing adoption of Federated Learnin...

0 Ziyao Liu, et al. ∙

research

∙ 12/21/2021

Before and after GDPR: tracking in mobile apps

Third-party tracking, the collection and sharing of behavioural data abo...

0 Konrad Kollnig, et al. ∙

research

∙ 12/08/2021

ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing

Scientific documents often contain a large number of acronyms. Disambigu...

0 Yixuan Weng, et al. ∙

research

∙ 11/29/2021

"Money makes the world go around”: Identifying Barriers to Better Privacy in Children's Apps From Developers' Perspectives

The industry for children's apps is thriving at the cost of children's p...

0 Anirudh Ekambaranathan, et al. ∙

Jun Zhao

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