30 citations · 52 across the 7 of their papers we have counts for
7 papers
Text Classification: A Perspective of Deep Learning Methods
Zhongwei Wan
In recent years, with the rapid development of information on the Internet, the number of complex texts and documents has increased exponentially, which requires a deeper understan…
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
Zhongwei Wan, Che Liu, Mi Zhang +6
The scarcity of data presents a critical obstacle to the efficacy of medical visionlanguage pre-training (VLP). A potential solution lies in the combination of datasets from variou…
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
Zhongwei Wan, Yichun Yin, Wei Zhang +5
Recently, domain-specific PLMs have been proposed to boost the task performance of specific domains (e.g., biomedical and computer science) by continuing to pre-train general PLMs…
Self-consistent Reasoning For Solving Math Word Problems
Jing Xiong, Zhongwei Wan, Xiping Hu +2
Math word problems (MWPs) is a task that automatically derives solution expression from a giving math problems in text. The previous studies suffer from spurious correlations betwe…
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
Zhongwei Wan, Xin Liu, Benyou Wang +5
Session-based recommendation (SBR) systems aim to utilize the user's short-term behavior sequence to predict the next item without the detailed user profile. Most recent works try…
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP
Zhenyu Liang, Yunfan Li, Zhongwei Wan
Estimation of distribution algorithms (EDA) are stochastic optimization algorithms. EDA establishes a probability model to describe the distribution of solution from the perspectiv…
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks
Zhenyu Liang, Yunfan Li, Zhongwei Wan
Estimation of distribution algorithms (EDA) as one of the EAs is a stochastic optimization problem which establishes a probability model to describe the distribution of solutions a…