Meng Ding

I am currently a Ph.D. student advised by Prof. Jinhui Xu and Prof. Kaiyi Ji at the State University of New York at Buffalo(UB). I am also very fortunate to closely work with Prof. Di Wang. Previously, I obtained my Bachelor's degree in Mathematics from China Agricultural University.

I am interested in broad areas of machine learning. My current research focuses on understand learning and trustworthy in AI/ML.

News

[09/2024] Two papers accepted to NeurIPS 2024.
[05/2024] One paper accepted to ICML 2024.
[01/2024] One paper accepted to ICLR 2024.

Pulications

* indicates equal contribution, † indicates alphabetical order.

Preprints

Why Fine-Tuning Struggles with Forgetting in Machine Unlearning: Theoretical Insights and a Remedial Approach
Meng Ding, Jinhui Xu, Kaiyi Ji.

Refereed Papers

Revisiting Differentially Private ReLU Regression
Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu.
NeurIPS 2024 ;
Truthful High Dimensional Sparse Linear Regression
Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu, Di Wang.
NeurIPS 2024 ;
Fair Single Index Model
Yidong Wang*,Meng Ding*, Jinhui Xu, Di Wang.
TKDD ;
Understanding Forgetting in Continual Learning with Linear Regression
Meng Ding, Kaiyi Ji, Di Wang, Jinhui Xu.
ICML 2024 ;
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
Liyang Zhu*, Meng Ding*, Jinhui Xu, Di Wang.
ICLR 2024 ;

Services

Conference Reviewer
ICML (2023 - ), NeurIPS (2024 - ), ICLR (2025 - ), AISTATS (2024 - ),