Yada Zhu
IBM (United States)(US)Alliance for Safe Kids(US)
Publications by Year
Research Areas
Advanced Graph Neural Networks, Stock Market Forecasting Methods, Topic Modeling, Time Series Analysis and Forecasting, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States(2020)153 cited
- → Adversarial Graph Contrastive Learning with Information Regularization(2022)46 cited
- → Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting(2020)40 cited
- → E-tail Product Return Prediction via Hypergraph-based Local Graph Cut(2018)36 cited
- → Design of accelerated life testing plans under multiple stresses(2013)34 cited
- → Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems(2015)30 cited
- → Toward Scalable Artificial Intelligence in Finance(2021)27 cited
- → Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders(2023)26 cited
- → Design of Equivalent Accelerated Life Testing Plans under Different Stress Applications(2011)25 cited
- → Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk(2020)25 cited