13 citations · 23 across the 6 of their papers we have counts for
6 papers
Text-guided Eyeglasses Manipulation with Spatial Constraints
Jiacheng Wang, Ping Liu, Jingen Liu +1
Virtual try-on of eyeglasses involves placing eyeglasses of different shapes and styles onto a face image without physically trying them on. While existing methods have shown impre…
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang, Jiachen Wang, Xiao Chen
Learning informative representations from image-based observations is of fundamental concern in deep Reinforcement Learning (RL). However, data-inefficiency remains a significant b…
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Kaiyuan Liu, Xingyu Li, Yurui Lai +6
Despite its great success, deep learning severely suffers from robustness; that is, deep neural networks are very vulnerable to adversarial attacks, even the simplest ones. Inspire…
Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTM
Jiacheng Wang, Weiheng Li
It is challenging to visually detect heart disease from the electrocardiographic (ECG) signals. Implementing an automated ECG signal detection system can help diagnosis arrhythmia…
Meta-Learning for Natural Language Understanding under Continual Learning Framework
Jiacheng Wang, Yong Fan, Duo Jiang +1
Neural network has been recognized with its accomplishments on tackling various natural language understanding (NLU) tasks. Methods have been developed to train a robust model to h…
Self-semi-supervised Learning to Learn from NoisyLabeled Data
Jiacheng Wang, Yue Ma, Shuang Gao
The remarkable success of today's deep neural networks highly depends on a massive number of correctly labeled data. However, it is rather costly to obtain high-quality human-label…