Qiuling Suo

PhD student, State University of New York, Buffalo

Joined

July 2019

Names

Qiuling Suo

Emails

****@gmail.com (Confirmed)

****@buffalo.edu (Confirmed)

Personal Links

Career & Education History

PhD student

State University of New York, Buffalo (buffalo.edu)

2015 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
- 02 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
- 02 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
- 02 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Make Memory Buffer Stronger in Continual Learning: A Continuous Neural Transformation Approach
Zhenyi Wang, Li Shen, Qiuling Suo, Tiehang Duan, Yanjun Zhu, Tongliang Liu, Mingchen Gao
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Meta-Learning without Data via Wasserstein Distributionally-Robust Model Fusion
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
- Published: 20 May 2022, Last Modified: 05 May 2023
- UAI 2022 Poster
- Readers: Everyone
Risk Prediction on Electronic Health Records with Prior Medical Knowledge
Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang
- 2018 (modified: 16 Jul 2019)
- KDD 2018
- Readers: Everyone
Metric Learning from Probabilistic Labels
Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
- 2018 (modified: 16 Jul 2019)
- KDD 2018
- Readers: Everyone

Qiuling Suo

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness

Make Memory Buffer Stronger in Continual Learning: A Continuous Neural Transformation Approach

Meta-Learning without Data via Wasserstein Distributionally-Robust Model Fusion

Risk Prediction on Electronic Health Records with Prior Medical Knowledge

Metric Learning from Probabilistic Labels

Co-Authors