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09/19/2023
Using AI Uncertainty Quantification to Improve Human Decision-Making
AI Uncertainty Quantification (UQ) has the potential to improve human de...
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08/23/2023
LKPNR: LLM and KG for Personalized News Recommendation Framework
Accurately recommending candidate news articles to users is a basic chal...
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07/10/2023
The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space
Graph data management is instrumental for several use cases such as reco...
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06/28/2023
The LDBC Financial Benchmark
The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) ...
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06/19/2023
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models
Large language models (LLMs) have demonstrated remarkable prowess in lan...
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06/14/2023
Carbon emissions and sustainability of launching 5G mobile networks in China
Since 2021, China has deployed more than 2.1 million 5G base stations to...
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05/24/2023
CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation
End-to-end speech translation (ST) is the task of translating speech sig...
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04/24/2023
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation
The main idea of multimodal recommendation is the rational utilization o...
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12/16/2022
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval
Image-text retrieval (ITR) is a challenging task in the field of multimo...
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04/01/2022
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging
Objective: Estimation of the global optima of multiple model parameters ...
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10/27/2021
An Arbitrary Scale Super-Resolution Approach for 3-Dimensional Magnetic Resonance Image using Implicit Neural Representation
High Resolution (HR) medical images provide rich anatomical structure de...
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10/19/2021
Multi-concept adversarial attacks
As machine learning (ML) techniques are being increasingly used in many ...
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09/01/2021
A real-time global re-localization framework for 3D LiDAR SLAM
Simultaneous localization and mapping (SLAM) has been a hot research fie...
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05/10/2021
Improving Fairness of AI Systems with Lossless De-biasing
In today's society, AI systems are increasingly used to make critical de...
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07/08/2020
Open-Pub: A Transparent yet Privacy-Preserving Academic Publication System based on Blockchain
Academic publications of latest research results are crucial to advance ...
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06/19/2020
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Explainable AI provides insight into the "why" for model predictions, of...
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03/09/2020
An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
In medical studies, the collected covariates usually contain underlying ...
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10/04/2018
A statistical normalization method and differential expression analysis for RNA-seq data between different species
Background: High-throughput techniques bring novel tools but also statis...
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06/12/2018
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network
Acoustic scene classification is an intricate problem for a machine. As ...
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05/11/2018
Breaking Transferability of Adversarial Samples with Randomness
We investigate the role of transferability of adversarial attacks in the...
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08/29/2016
