Our Research
Advancing superintelligence (SI) through research and innovation
Core Research Pillars
At the intersection of theoretical innovation and transformative industrial applications
Deep Learning & Neural Architectures
We pioneer advanced deep learning architectures including Graph Neural Networks (GNNs), Transformers, and Recurrent Attention Models for complex data analysis. Our innovations include spatiotemporal graph networks for cellular KPI prediction, multi-task learning frameworks for medical imaging, and deep reinforcement learning for bilevel optimization in product design.
Statistical Learning & Monitoring for SI
Combining statistics and machine learning, we develop models for real-time monitoring, anomaly detection, and predictive maintenance. Our methods include Bayesian networks for causal inference, Gaussian processes for robust parameter design, and Thompson sampling for partially observable online change detection.
Tensor Learning & High-Dimensional Analytics
We tackle the curse of dimensionality through innovative tensor methods and functional data analysis. Our research includes tensor decomposition for weakly-dependent data on graphs, low-rank robust subspace tensor clustering for metro flow modeling, and latent tensor Gaussian processes for spatial monitoring.
Graph Intelligence & Network Analysis
Advancing graph relational learning and network science for SI. We develop graph regularized tensor latent Dirichlet allocation for individualized passenger travel patterns, functional data edged networks for metro station clustering, and multi-view clustering based on functional data.
Intelligent Decision Systems & Optimization
Creating decision frameworks for SI that integrate game theory, optimization, and reinforcement learning. Our research spans deep reinforcement learning for bilevel optimization, data-driven control of complex networked systems, and intelligent decision-making with domain knowledge integration.
Industrial Superintelligence & Smart Manufacturing
Developing practical methods for industrial superintelligence. Our applications span semiconductor manufacturing, aircraft manufacturing, urban transportation, supply chain management, and financial systems. We apply our research at scale with industry leaders including Huawei, Tencent, Alibaba, Baidu, ByteDance, and Meituan.
Research Impact
Our research has resulted in 81 publications in premier venues including IEEE Transactions (Medical Imaging, Knowledge and Data Engineering, Automation Science and Engineering, Industrial Informatics), IISE Transactions, Technometrics, Journal of Quality Technology, and leading research conferences including KDD, IJCAI, AAAI, and ECML-PKDD.
We collaborate extensively with industry leaders, developing methods that support users daily in transportation, manufacturing, e-commerce, and telecommunications sectors.
Recent Publications
Highlights from our latest research contributions