2 citations · 3 across the 7 of their papers we have counts for
7 papers
Leveraging Deep Neural Networks for Aspect-Based Sentiment Classification
Chen Li, Debo Cheng, Yasuhiko Morimoto
Aspect-based sentiment analysis seeks to determine sentiment with a high level of detail. While graph convolutional networks (GCNs) are commonly used for extracting sentiment featu…
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation
Huidong Tang, Chen Li, Huachong Yu +2
Federated learning (FL) has emerged as a transformative training paradigm, particularly invaluable in privacy-sensitive domains like healthcare. However, client heterogeneity in da…
When Molecular GAN Meets Byte-Pair Encoding
Huidong Tang, Chen Li, Yasuhiko Morimoto
Deep generative models, such as generative adversarial networks (GANs), are pivotal in discovering novel drug-like candidates via de novo molecular generation. However, traditional…
Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework
Chen Li, Ye Zhu, Yang Cao +4
The computation of the skyline provides a mechanism for utilizing multiple location-based criteria to identify optimal data points. However, the efficiency of these computations di…
Advancing Aspect-Based Sentiment Analysis through Deep Learning Models
Chen Li, Huidong Tang, Jinli Zhang +3
Aspect-based sentiment analysis predicts sentiment polarity with fine granularity. While graph convolutional networks (GCNs) are widely utilized for sentimental feature extraction,…
Molecular Generative Adversarial Network with Multi-Property Optimization
Huidong Tang, Chen Li, Sayaka Kamei +2
Deep generative models, such as generative adversarial networks (GANs), have been employed for molecular generation in drug discovery. Most prior studies have utilized re…
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training
Shuai Jiang, Sayaka Kamei, Chen Li +2
The successful application of large pre-trained models such as BERT in natural language processing has attracted more attention from researchers. Since the BERT typically acts as a…