Lu Liu

Verifiable Public Key Encryption Scheme With Equality Test in 5G Networks

2017 · IEEE Access

The emergence of 5G networks will allow cloud computing providers to offer more convenient services. However, security and privacy issues of cloud services in 5G networks represent huge challenges. Recently, to improve security and privacy, …

Structure2Content: An Incremental Method for Detecting Outlier Correlation in Heterogeneous Network

2017 · International Journal of Software Engineering and Knowledge Engineering

Heterogeneous networks are ubiquitous. People like to discover rare but meaningful objects and patterns from such networks. Regardless of high structure similarity or high content similarity, the corresponding objects can be used in data analysis. …

BLCU_NLP at SemEval-2018 Task 12: An Ensemble Model for Argument Reasoning Based on Hierarchical Attention

2018

The argument comprehension reasoning task aims to reconstruct and analyze the argument reasoning. To comprehend an argument and fill the gap between claims and reasons, it is vital to find the implicit supporting warrants behind. …

Study on Importance Function for Particle Filter

2015 · International Journal of Multimedia and Ubiquitous Engineering

As an important nonlinear filter theory, particle filter is a heated issue in domestic and foreign researches. The option of importance density is one of the key steps of particle filter algorithm. The proper option …

Masked Pre-trained Encoder base on Joint CTC-Transformer

2020 · arXiv (Cornell University)

This study (The work was accomplished during the internship in Tencent AI lab) addresses semi-supervised acoustic modeling, i.e. attaining high-level representations from unsupervised audio data and fine-tuning the parameters of pre-trained model with supervised data. …

Transfer Learning Pre-training Dataset Effect Analysis for Breast Cancer Imaging

2022 · EPiC series in computing

Comparing with natural imaging datasets used in transfer learning, the effects of med- ical pre-training datasets are underexplored. In this study, we carry out transfer learning pre-training dataset effect analysis in breast cancer imaging by …

Transfer Learning Pre-training Dataset and Fine-tuning Effect Analysis on Cancer Histopathology Images

2022 · 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Due to the shortage of training data, transfer learning is frequently used in constructing medical imaging models. In this study, we perform transfer learning pre-training dataset and fine-tuning effect analysis in cancer histopathology imaging by …

Tourist acceptance of ChatGPT in travel services: the mediating role of parasocial interaction

2024 · Journal of Travel & Tourism Marketing

ChatGPT has revolutionized the travel industry. This study employs the stimulus-organism-response (SOR) model to develop and validate a conceptual model for ChatGPT acceptance. Social influence and perceived value emerge as key determinants of user cognitive …

Generating Responses with a Specific Emotion in Dialog

2019

It is desirable for dialog systems to have capability to express specific emotions during a conversation, which has a direct, quantifiable impact on improvement of their usability and user satisfaction. After a careful investigation of …