Graph-augmented normalizing flows for anomaly detection of multiple time series
- Enyan Dai
- Jie Chen
- 2022
- ICLR 2022
Conference paper
Publications
33 results for Jie Chen
Graph coarsening: from scientific computing to machine learning
- Jie Chen
- Yousef Saad
- et al.
- 2022
- SeMA Journal
ReviewLinear-Cost Covariance Functions for Gaussian Random Fields
- Jie Chen
- Michael L. Stein
- 2021
- JASA
PaperCAG: A real-time low-cost enhanced-robustness high-transferability content-aware adversarial attack generator
- Huy Phan
- Yi Xie
- et al.
- 2020
- AAAI 2020
Conference paperOnline planner selection with graph neural networks and adaptive scheduling
- Tengfei Ma
- Patrick Ferber
- et al.
- 2020
- AAAI 2020
Conference paperEmbedding compression with isotropic iterative quantization
- Siyu Liao
- Jie Chen
- et al.
- 2020
- AAAI 2020
Conference paperEvolveGCN: Evolving graph convolutional networks for dynamic graphs
- Aldo Pareja
- Giacomo Domeniconi
- et al.
- 2020
- AAAI 2020
Conference paperGraph enhanced cross-domain text-to-SQL generation
- Siyu Huo
- Tengfei Ma
- et al.
- 2019
- TextGraphs/EMNLP-IJCNLP 2019
Conference paperDAG-GNN: DAG structure learning with graph neural networks
- Yue Yu
- Jie Chen
- et al.
- 2019
- ICML 2019
Conference paperRelaxation-based coarsening for multilevel hypergraph partitioning
- Ruslan Shaydulin
- Jie Chen
- et al.
- 2019
- Multiscale Modeling and Simulation
Paper