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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 ...
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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...
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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...
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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...
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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...
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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...
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05/22/2022
Preparing data for pathological artificial intelligence with clinical-grade performance
[Purpose] The pathology is decisive for disease diagnosis, but relies he...
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12/23/2021
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving
The accelerating development of autonomous driving technology has placed...
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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...
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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...
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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...
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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...
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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...
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04/12/2021
A Replication Study of Dense Passage Retriever
Text retrieval using learned dense representations has recently emerged ...
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04/07/2021
Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding
In the steady-state contingency analysis, the traditional Newton-Raphson...
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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...
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03/08/2021
Deep Gradient Projection Networks for Pan-sharpening
Pan-sharpening is an important technique for remote sensing imaging syst...
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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...
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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...
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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...
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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...
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12/05/2020
Aligning geographic entities from historical maps for building knowledge graphs
Historical maps contain rich geographic information about the past of a ...
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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...
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10/24/2020
Adding Chit-Chats to Enhance Task-Oriented Dialogues
The existing dialogue corpora and models are typically designed under tw...
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09/12/2020
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge
In this paper, we aim to extract commonsense knowledge to improve machin...
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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...
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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...
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05/01/2020
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations
Named entity recognition (NER) and Relation extraction (RE) are two fund...
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04/17/2020
Dialogue-Based Relation Extraction
We present the first human-annotated dialogue-based relation extraction ...
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04/13/2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
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03/01/2020
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
Monocular 3D object detection is an essential component in autonomous dr...
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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 ...
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09/26/2019
Improving Pre-Trained Multilingual Models with Vocabulary Expansion
Recently, pre-trained language models have achieved remarkable success i...
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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...
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08/28/2019
Blockchain-based Personal Data Management: From Fiction to Solution
The emerging blockchain technology has enabled various decentralised app...
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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...
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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...
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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...
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04/05/2019
GDPR-Compliant Personal Data Management: A Blockchain-based Solution
The General Data Protection Regulation (GDPR) gives control of personal ...
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02/23/2019
Evidence Sentence Extraction for Machine Reading Comprehension
Recently remarkable success has been achieved in machine reading compreh...
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02/03/2019
Improving Question Answering with External Knowledge
Prior background knowledge is essential for human reading and understand...
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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...
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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 ...
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10/31/2018
Improving Machine Reading Comprehension with General Reading Strategies
Reading strategies have been shown to improve comprehension levels, espe...
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06/22/2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction
Although deep learning techniques have been successfully applied to many...
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12/12/2017
A vision based system for underwater docking
Autonomous underwater vehicles (AUVs) have been deployed for underwater ...
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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...
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05/04/2017
Towards Simulation and Risk Assessment of Weather-Related Cascading Outages
Weather and environmental factors are verified to have played significan...
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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...
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07/14/2015