Jin Xu

Pilot Study For Examining Human-Robot Trust In Healthcare Interventions Involving Sensitive Personal Information

2017 · SMARTech Repository (Georgia Institute of Technology)

Socially interactive humanoid robots have been widely used in physical therapy and rehabilitation for children with motor disabilities. Previous studies have shown that embedding human-like behavior on a robotic playmate improves the efficacy of the …

Multivariate Relations Aggregation Learning in Social Networks

2020

Multivariate relations are general in various types of networks, such as biological networks, social networks, transportation networks, and academic networks. Due to the principle of ternary closures and the trend of group formation, the multivariate …

Task-Agnostic and Adaptive-Size BERT Compression

2021

While pre-trained language models such as BERT and RoBERTa have achieved impressive results on various natural language processing tasks, they have huge numbers of parameters and suffer from huge computational and memory costs, which make …

MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition

2021 · arXiv (Cornell University)

In this paper, we propose MixSpeech, a simple yet effective data augmentation method based on mixup for automatic speech recognition (ASR). MixSpeech trains an ASR model by taking a weighted combination of two different speech …

Research on the Diversification of Language Ability in Applied Linguistics and Foreign Linguistics Based on New Media

2023 · ACM Transactions on Asian and Low-Resource Language Information Processing

In order to improve the research effect of the diversification of language ability in applied linguistics and foreign linguistics, this paper conducts research on the diversification of language ability in applied linguistics and foreign linguistics …

AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange

2023

Graph Neural Networks (GNNs) have already been widely used in various graph mining tasks. However, recent works reveal that the learned weights (channels) in well-trained GNNs are highly redundant, which inevitably limits the performance of …

Km-scale solar irradiance ensemble forecasting with generative deep learning

2026 · npj Artificial Intelligence

Rapid variability and intermittency in surface shortwave downward irradiance (SWDR) impact photovoltaic (PV) generation, challenging power system stability. Yet, existing SWDR prediction methods often cannot simultaneously deliver high-resolution, wide-area, and well-calibrated probabilistic prediction, limiting their …