I am Chair Professor at School of Data Science and Engineering, East China Normal University. I have been a Full Professor in Department of Computer Science, Aalborg University, Denmark, since 2018. Previously, I was at Max-Planck-Institut für Informatik, Germany, working in the Databases and Information Systems department headed by Gerhard Weikum, and I was at Aarhus University, Denmark, working in the Data-Intensive Systems group headed by Christian S. Jensen. I obtained my Ph.D. degree from Fudan University in 2010.
Research vision: Innovating AI to impact business and society, and making AI accessible to all.
My research interests cover artificial intelligence and data governance, with a focus on enabling data driven decision making with time series and spatio-temporal data. Recently, much of my research concerns the AGREE principles—Automation, Generalization, Robustness, Explainability, and Efficiency, on a variety of tasks, e.g., forecasting, outlier detection, classification, ranking, searching, and decision making.
Automation: Neural architecture search, Joint architecture-hyperparameter search, Model selection
Generalization: Large time series models, General representation learning
Robustness: Continual learning, Learning with noisy data, Weakly supervised learning
Explainability: Physics-guided neural networks, Root cause analysis, Post-hoc explainability
Efficiency: Model compression, Quantization, Knowledge distillation, Dataset distillation
Decision making: Multi-agent reinforcement learning, Personalized decision making, Multi-criteria decision making, Decision making under uncertainty, Learning to make decisions
Applications: AI4DB, Intelligent transportation, Digital energy, AIOps, Predictive maintenance, Smart ocean, Autoscaling, Intelligent emergency response
David Gonzalo Chaves Campos (AAU), 8.2021 to Present, Co-supervision with Tung Kieu.
Razvan-Gabriel Cirstea (AAU), 10.2018 to 3.2022, Model Parameter Generation for Correlated Time Series Forecasting, Co-supervision with Chenjuan Guo.
Simon Aagaard Pedersen (AAU), 9.2017 to 12.2021, Towards Efficient Stochastic Routing in Road Networks, Co-supervision with Christian S. Jensen.
Tung Kieu (AAU), 2.2017 to 3.2021, Deep Autoencoders for Time Series Outlier Detection and Trajectory Clustering, Co-supervision with Christian S. Jensen.
Jákup Odssonur Svøðstein. Unveiling the predictive power of the 3D Roto-Translation Equivariant Graph Neural Network MPNet.
Ivan Iliev, Predicting Stochastic Demand using a Multi-Task Recurrent Mixture Density Network.
Saad Aljubayrin, University of Melbourne, Australia.