Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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Year

22 results for Jie Chen

Data-Efficient Graph Grammar Learning for Molecular Generation
- - Minghao Guo
  - Veronika Thost
  - et al.
- 2022
- ICLR 2022
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
- - Enyan Dai
  - Jie Chen
- 2022
- ICLR 2022
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
- - Ruchir Puri
  - David Kung
  - et al.
- 2021
- NeurIPS 2021
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
- - Xiao Zang
  - Yi Xie
  - et al.
- 2021
- IJCAI 2021
Directed Acyclic Graph Neural Networks
- - Veronika Thost
  - Jie Chen
- 2021
- ICLR 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
- - Chao Shang
  - Jie Chen
  - et al.
- 2021
- ICLR 2021
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
- - Tengfei Ma
  - Jie Chen
- 2021
- AAAI 2021
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- - Yonggui Yan
  - Jie Chen
  - et al.
- 2023
- ICML 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
- - Yifan Chen
  - Rentian Yao
  - et al.
- 2023
- ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- - Minghao Guo
  - Veronika Thost
  - et al.
- 2023
- ICML 2023