7 citations · 13 across the 6 of their papers we have counts for
6 papers
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
Wenqiang Li, Weijun Li, Lina Yu +7
Symbolic regression (SR) is a powerful technique for discovering the underlying mathematical expressions from observed data. Inspired by the success of deep learning, recent deep g…
A Survey on Few-Shot Class-Incremental Learning
Songsong Tian, Lusi Li, Weijun Li +3
Large deep learning models are impressive, but they struggle when real-time data is not available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for dee…
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
Liang Xu, Liying Zheng, Weijun Li +6
In recent studies, Lots of work has been done to solve time series anomaly detection by applying Variational Auto-Encoders (VAEs). Time series anomaly detection is a very common bu…
GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian
Liping Zhang, Weijun Li, Lina Yu +5
Establishing mathematical models is a ubiquitous and effective method to understand the objective world. Due to complex physiological structures and dynamic behaviors, mathematical…
A Local Descriptor with Physiological Characteristic for Finger Vein Recognition
Liping Zhang, Weijun Li, Xin Ning
Local feature descriptors exhibit great superiority in finger vein recognition due to their stability and robustness against local changes in images. However, most of these are met…
Continuous learning of face attribute synthesis
Xin Ning, Shaohui Xu, Xiaoli Dong +3
The generative adversarial network (GAN) exhibits great superiority in the face attribute synthesis task. However, existing methods have very limited effects on the expansion of ne…