Hongwei Jin

About me I am a postdoc researcher in Mathematics and Computer Science (MCS) division at Argonne National Laboratory, working on machine learning under the supervision of Dr. Prasanna Balaprakash (now in Oak Ridge National Laboratory) and Dr. Sven Leyffer. Contact: jinh (at) anl.gov Address: 1.C.7, Building 240, Argonne National Laboratory, 9700 S. Cass Ave. Argonne Ct. Lemont, IL 60439 Links: Google Scholar, GitHub

News 📰

• [2023-04] One paper is accepted at IJHPCA (special issue).

• [2023-02] Reviewer for UAI 2023 and PC member for KDD 2023.

• [2022-12] Invited reviewer for ACM Computing Surveys.

• [2022-11] Top Reviewer for AISTATS 2023.

• [2022-10] Reviewer for LoG Conference 2022.

• [2022-10] Pleased to receive the NeurIPS 2022 Scholar Award.

• [2022-08] One paper is accepted at NeurIPS 2022.

• [2022-08] One paper is accepted at SC 2022 workshop.

• [2022-05] Join Argonne National Lab as a postdoc.

• [2022-05] One paper is accepted at UAI 2022.

• [2022-04] Defended my doctoral dissertation “Robust Learning on Graphs”.

• [2022-04] One paper is accepted at IJCAI 2022.

Research Topics

• AI4Science

• Machine learning

• Adversarial learning

• Robust graph learning

• Convex / Non-convex optimization

Education

• 2015 - 2022, Ph.D. in Computer Science at UIC, Chicago, IL

  • Supervised by Prof. Xinhua Zhang

• 2012 - 2014, M.S. in Applied Mathematics at Illinois Institute of Technology, Chicago, IL

  • Supervised by Prof. Hemanshu Kaul

• 2008 - 2012, B.E. in Software Engineering at Northeastern University, China