b'Kai Sun'

research

∙ 08/20/2023

Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?

Since the recent prosperity of Large Language Models (LLMs), there have ...

0 Kai Sun, et al. ∙

research

∙ 07/16/2023

The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant

Recent studies have demonstrated promising performance of ChatGPT and GP...

0 Jingqing Zhang, et al. ∙

research

∙ 05/18/2023

Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement

State-of-the-art target-oriented opinion word extraction (TOWE) models t...

0 Samuel Mensah, et al. ∙

research

∙ 02/28/2023

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction

Opinion target extraction (OTE) or aspect extraction (AE) is a fundament...

0 Kai Sun, et al. ∙

research

∙ 10/07/2022

Simulation of Transients in Natural Gas Networks via A Semi-analytical Solution Approach

Simulation and control of the transient flow in natural gas networks inv...

0 Xin Xu, et al. ∙

research

∙ 10/06/2022

Digital Asset Valuation: A Study on Domain Names, Email Addresses, and NFTs

Existing works on valuing digital assets on the Internet typically focus...

0 Kai Sun, et al. ∙

research

∙ 05/22/2022

Preparing data for pathological artificial intelligence with clinical-grade performance

[Purpose] The pathology is decisive for disease diagnosis, but relies he...

0 Yuanqing Yang, et al. ∙

research

∙ 12/23/2021

PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving

The accelerating development of autonomous driving technology has placed...

0 Pengchuan Xiao, et al. ∙

research

∙ 09/11/2021

ECCR: Edge-Cloud Collaborative Recovery for Low-Power Wide-Area Networks interference mitigation

Recent advances in Low-Power Wide-Area Networks have mitigated interfere...

0 Luoyu Mei, et al. ∙

research

∙ 09/08/2021

Partial Symbol Recovery for Interference Resilience in Low-Power Wide Area Networks

Recent years have witnessed the proliferation of Low-power Wide Area Net...

0 Kai Sun, et al. ∙

research

∙ 09/02/2021

An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction

Target-oriented opinion words extraction (TOWE) (Fan et al., 2019b) is a...

0 Samuel Mensah, et al. ∙

research

∙ 05/26/2021

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

Deep learning based approaches have proven promising to model omics data...

36 Eloise Withnell, et al. ∙

research

∙ 05/15/2021

Multi-scale super-resolution generation of low-resolution scanned pathological images

Digital pathology slide is easy to store and manage, convenient to brows...

6 Yanhua Gao, et al. ∙

research

∙ 04/12/2021

A Replication Study of Dense Passage Retriever

Text retrieval using learned dense representations has recently emerged ...

0 Xueguang Ma, et al. ∙

research

∙ 04/07/2021

Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding

In the steady-state contingency analysis, the traditional Newton-Raphson...

0 Rui Yao, et al. ∙

research

∙ 03/10/2021

Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information

Pansharpening is a fundamental issue in remote sensing field. This paper...

0 Shuang Xu, et al. ∙

research

∙ 03/08/2021

Deep Gradient Projection Networks for Pan-sharpening

Pan-sharpening is an important technique for remote sensing imaging syst...

23 Shuang Xu, et al. ∙

research

∙ 02/03/2021

OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning

High-dimensional omics data contains intrinsic biomedical information th...

13 Xiaoyu Zhang, et al. ∙

research

∙ 02/01/2021

Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data

In spite of much recent research in the area, it is still unclear whethe...

0 Dian Yu, et al. ∙

research

∙ 01/26/2021

A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust

Blockchain technology has been envisaged to commence an era of decentral...

0 Nguyen Truong, et al. ∙

research

∙ 12/31/2020

FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter

Pansharpening is a widely used image enhancement technique for remote se...

0 Zixiang Zhao, et al. ∙

research

∙ 12/05/2020

Aligning geographic entities from historical maps for building knowledge graphs

Historical maps contain rich geographic information about the past of a ...

0 Kai Sun, et al. ∙

research

∙ 11/10/2020

Privacy Preservation in Federated Learning: Insights from the GDPR Perspective

Along with the blooming of AI and Machine Learning-based applications an...

0 Nguyen Truong, et al. ∙

research

∙ 10/24/2020

Adding Chit-Chats to Enhance Task-Oriented Dialogues

The existing dialogue corpora and models are typically designed under tw...

6 Kai Sun, et al. ∙

research

∙ 09/12/2020

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge

In this paper, we aim to extract commonsense knowledge to improve machin...

0 Kai Sun, et al. ∙

research

∙ 08/05/2020

An Algorithm Framework for the Exact Solution and Improved Approximation of the Maximum Weighted Independent Set Problem

The Maximum Weighted Independent Set (MWIS) problem, which considers a g...

0 Kai Sun, et al. ∙

research

∙ 08/05/2020

A Novel Approach for the Process Planning and Scheduling Problem Using the Concept of Maximum Weighted Independent Set

Process Planning and Scheduling (PPS) is an essential and practical topi...

0 Kai Sun, et al. ∙

research

∙ 05/01/2020

Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations

Named entity recognition (NER) and Relation extraction (RE) are two fund...

0 Kai Sun, et al. ∙

research

∙ 04/17/2020

Dialogue-Based Relation Extraction

We present the first human-annotated dialogue-based relation extraction ...

0 Dian Yu, et al. ∙

research

∙ 04/13/2020

CLUE: A Chinese Language Understanding Evaluation Benchmark

We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...

0 Liang Xu, et al. ∙

research

∙ 03/01/2020

MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships

Monocular 3D object detection is an essential component in autonomous dr...

0 Yongjian Chen, et al. ∙

research

∙ 11/10/2019

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records

The extraction of phenotype information which is naturally contained in ...

0 Jingqing Zhang, et al. ∙

research

∙ 09/26/2019

Improving Pre-Trained Multilingual Models with Vocabulary Expansion

Recently, pre-trained language models have achieved remarkable success i...

0 Hai Wang, et al. ∙

research

∙ 09/14/2019

Line as object: datasets and framework for semantic line segment detection

In this work, we propose a learning-based approach to the task of detect...

10 Yi Sun, et al. ∙

research

∙ 08/28/2019

Blockchain-based Personal Data Management: From Fiction to Solution

The emerging blockchain technology has enabled various decentralised app...

0 Nguyen Truong, et al. ∙

research

∙ 08/17/2019

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

Different aspects of a clinical sample can be revealed by multiple types...

0 Xiaoyu Zhang, et al. ∙

research

∙ 07/12/2019

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

Anomaly detection is facing with emerging challenges in many important i...

16 Zheng Gao, et al. ∙

research

∙ 04/21/2019

Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension

With an ultimate goal of narrowing the gap between human and machine rea...

0 Kai Sun, et al. ∙

research

∙ 04/05/2019

GDPR-Compliant Personal Data Management: A Blockchain-based Solution

The General Data Protection Regulation (GDPR) gives control of personal ...

0 Nguyen Binh Truong, et al. ∙

research

∙ 02/23/2019

Evidence Sentence Extraction for Machine Reading Comprehension

Recently remarkable success has been achieved in machine reading compreh...

0 Hai Wang, et al. ∙

research

∙ 02/03/2019

Improving Question Answering with External Knowledge

Prior background knowledge is essential for human reading and understand...

0 Xiaoman Pan, et al. ∙

research

∙ 02/01/2019

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

We present DREAM, the first dialogue-based multiple-choice reading compr...

0 Kai Sun, et al. ∙

research

∙ 12/22/2018

Image Embedding of PMU Data for Deep Learning towards Transient Disturbance Classification

This paper presents a study on power grid disturbance classification by ...

0 Yongli Zhu, et al. ∙

research

∙ 10/31/2018

Improving Machine Reading Comprehension with General Reading Strategies

Reading strategies have been shown to improve comprehension levels, espe...

0 Kai Sun, et al. ∙

research

∙ 06/22/2018

Visualizing and Understanding Deep Neural Networks in CTR Prediction

Although deep learning techniques have been successfully applied to many...

0 Lin Guo, et al. ∙

research

∙ 12/12/2017

A vision based system for underwater docking

Autonomous underwater vehicles (AUVs) have been deployed for underwater ...

0 Shuang Liu, et al. ∙

research

∙ 06/20/2017

Approximate Analytical Solutions of Power Flow Equations Based on Multi-Dimensional Holomorphic Embedding Method

It is well known that closed-form analytical solutions for AC power flow...

0 Chengxi Liu, et al. ∙

research

∙ 05/04/2017

Towards Simulation and Risk Assessment of Weather-Related Cascading Outages

Weather and environmental factors are verified to have played significan...

0 Rui Yao, et al. ∙

research

∙ 02/23/2017

Efficient Simulation of Temperature Evolution of Overhead Transmission Lines Based on Analytical Solution and NWP

Transmission lines are vital components in power systems. Tripping of tr...

0 Rui Yao, et al. ∙

research

∙ 07/14/2015

Recurrent Polynomial Network for Dialogue State Tracking

Dialogue state tracking (DST) is a process to estimate the distribution ...

0 Kai Sun, et al. ∙

Kai Sun

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