Linear-Cost Covariance Functions for Gaussian Random Fields
- Jie Chen
- Michael L. Stein
- 2021
- JASA
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31 results for Jie Chen
Embedding compression with isotropic iterative quantization
- Siyu Liao
- Jie Chen
- et al.
- 2020
- AAAI 2020
Online planner selection with graph neural networks and adaptive scheduling
- Tengfei Ma
- Patrick Ferber
- et al.
- 2020
- AAAI 2020
EvolveGCN: Evolving graph convolutional networks for dynamic graphs
- Aldo Pareja
- Giacomo Domeniconi
- et al.
- 2020
- AAAI 2020
CAG: A real-time low-cost enhanced-robustness high-transferability content-aware adversarial attack generator
- Huy Phan
- Yi Xie
- et al.
- 2020
- AAAI 2020
Graph enhanced cross-domain text-to-SQL generation
- Siyu Huo
- Tengfei Ma
- et al.
- 2019
- TextGraphs/EMNLP-IJCNLP 2019
DAG-GNN: DAG structure learning with graph neural networks
- Yue Yu
- Jie Chen
- et al.
- 2019
- ICML 2019
Relaxation-based coarsening for multilevel hypergraph partitioning
- Ruslan Shaydulin
- Jie Chen
- et al.
- 2019
- Multiscale Modeling and Simulation
A sequential set generation method for predicting set-valued outputs
- Tian Gao
- Jie Chen
- et al.
- 2019
- AAAI 2019
Constrained generation of semantically valid graphs via regularizing variational autoencoders
- Tengfei Ma
- Jie Chen
- et al.
- 2018
- NeurIPS 2018