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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67 results for Songtao Lu

PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
- - Zhuqing Liu
  - Xin Zhang
  - et al.
- 2023
- MobiHoc 2023
Meta-Dag: Meta Causal Discovery Via Bilevel Optimization
- - Songtao Lu
  - Tian Gao
- 2023
- ICASSP 2023
Distributed Offline Policy Optimization Over Batch Data
- - Han Shen
  - Songtao Lu
  - et al.
- 2023
- AISTATS 2023
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
- - Zhuqing Liu
  - Xin Zhang
  - et al.
- 2022
- MobiHoc 2022
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization
- - Yunfei Teng
  - Anna Choromanska
  - et al.
- 2022
- ECML PKDD 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
- - Gaoyuan Zhang
  - Songtao Lu
  - et al.
- 2022
- UAI 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
- - Pu Zhao
  - Parikshit Ram
  - et al.
- 2022
- IJCAI 2022
Decentralized Bilevel Optimization for Personalized Client Learning
- - Songtao Lu
  - Xiaodong Cui
  - et al.
- 2022
- ICASSP 2022
Training logical neural networks by primal-dual methods for neuro-symbolic reasoning
- - Songtao Lu
  - Naweed Khan
  - et al.
- 2021
- ICASSP 2021
Federated acoustic modeling for automatic speech recognition
- - Xiaodong Cui
  - Songtao Lu
  - et al.
- 2021
- ICASSP 2021