MILO-Group

Machine Intelligence and Large-scale Optimization Group (MILO-Group)

Founded in 2022, Led by Dr. Di Ming

At MILO-Group, we have broad research interests spanning from the theory to the application aspects of machine learning and large-scale optimization. Our current research works include: sparse learning, network pruning, robust learning, representation learning, self-supervised learning, adversarial attack, semantic segmentation, graph learning, clustering, nonlinear optimization, bilevel optimization, curriculum optimization, multi-stage optimization, etc.

The repositories of our papers and codes are available at https://github.com/MILO-GRP.

Master Students

Junyang Zhang (张俊洋)

Starting in Fall 2022.
Reseach Topic: Deep Sparse Learning.

Chen Yi (易琛)

Starting in Fall 2022.
Research Topic: Graph Neural Network.

Peng Ren (任鹏)

Starting in Spring 2023, Co-supervised with Prof. Xin Feng.
Research Topic: Transferable Sparse Adversarial Attack.

Ruijie Luo (罗瑞洁)

Starting in Spring 2023, Co-supervised with Prof. Xin Feng.
Research Topic: Deep Clustering.

Try Sreyna (希瑞娜)

Starting in Summer 2023.
Research Topic: Adversarial Attack on Face Recognition.

Wen Yang (杨雯)

Starting in Fall 2023.
Research Topic: Sparse and Imperceptible Adversarial Attack.

Junwei Xie (谢俊伟)

Starting in Fall 2023.
Research Topic: Generative Adversarial Attack.

Renqing Yang (杨仁清)

Starting in Fall 2023, Co-supervised with Prof. Xin Feng.
Research Topic: Feature-Based Adversarial Attack.

Undergraduate Students

Wenwen Zhang (张文文)

Starting in Fall 2023.
Research Topic: Ensemble Adversarial Attack.

Alumni

Yiran Liu (刘依然)

Spring 2022 - Spring 2023.
Master Student, Co-supervised with Prof. Wu Yang and Prof. Xin Feng.
Research Topic: Data-Free Universal Adversarial Attack.
Next Stop: Beijing University of Posts and Telecommunications, Ph.D. Student.