Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. 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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13 results for Liang Zhao

FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
- - Zheng Chai
  - Yujing Chen
  - et al.
- 2021
- SC 2021
Multi-objective Deep Data Generation with Correlated Property Control
- - Shiyu Wang
  - Xiaojie Guo
  - et al.
- 2022
- NeurIPS 2022
Deep Generative Model for Periodic Graphs
- - Shiyu Wang
  - Xiaojie Guo
  - et al.
- 2022
- NeurIPS 2022
Incomplete label multi-task deep learning for spatio-temporal event subtype forecasting
- - Yuyang Gao
  - Liang Zhao
  - et al.
- 2019
- AAAI 2019
Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities
- - Yuyang Gao
  - Tanmoy Chowdhury
  - et al.
- 2021
- IEEE TKDE
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph
- - Qingzhe Li
  - Amir Alipour-Fanid
  - et al.
- 2021
- IEEE TKDE
Multi-stage deep classifier cascades for open world recognition
- - Xiaojie Guo
  - Hemant Purohit
  - et al.
- 2019
- CIKM 2019
Interpretable Deep Graph Generation with Node-edge Co-disentanglement
- - Xiaojie Guo
  - Liang Zhao
  - et al.
- 2020
- KDD 2020
Contrast feature dependency pattern mining for controlled experiments with application to driving behavior
- - Qingzhe Li
  - Liang Zhao
  - et al.
- 2019
- ICDM 2019
DynGraph2Seq: Dynamic-graph-to-sequence interpretable learning for health stage prediction in online health forums
- - Yuyang Gao
  - Lingfei Wu
  - et al.
- 2019
- ICDM 2019