Yujun Yan
Assistant Professor
Department of Computer Science
Dartmouth College
Office: ECSC 215, 15 Thayer Drive
Hanover, NH 03755-4404
Email: yujun.yan@dartmouth.edu
Google Scholar | CV | LinkedIn
I joined Dartmouth as an Assistant Professor in Jan. 2023. My research focuses on the intersection of machine learning (ML) and network science. I earned my Ph.D. from the University of Michigan, Ann Arbor in 2022, under the supervision of Danai Koutra. My work aims to provide both theoretical insights and practical applications for ML models, especially in the context of complex real-world networks. I am particularly interested in the foundational principles that drive the design of more expressive and generalizable graph-based ML models. Additionally, I explore the practical applications of these models across various domains, including neuroscience and program understanding.
I am recruiting Ph.D. students and interns. Many motivated interns have the opportunity to produce a paper or submission during their internship.
Please send your CV and transcripts via email if you are interested in working with me. Please apply to our Ph.D. program using this link: Ph.D. in Dartmouth CS.
News
May 2024 Two papers accepted to ICML 2024!
Dec. 2023 Congrats to Gaotang Li for receiving an honorable mention for CRA Outstanding Undergraduate Researcher Awards!
July 2023 Accept the invitation as a session chair @ KDD
May 2023 One paper got accepted to the research track of KDD! Congratulations to Oliver on his first paper!
May 2023 Check out our new preprint on size generalizability of GNNs!
April. 2023 Accept the invitation as a reviewer @ NeurIPS 2023, and JMLR, as a panelist at GLB workshop@KDD
Mar. 2023 Teach the course CS 74/274 "Machine Learning & Statistical Data Analysis"
Feb. 2023 Accept the invitation as a reviewer @ ICML 2023
Jan. 2023 Accept the invitation as a PC member @ IJCAI 2023
Jan. 2023 Teach the course CS 89.23 "Network Science and Complex Systems"
Previous years
Nov. 2022 Accept the invitation as a Session Chair @ ICDM 2022
Nov. 2022 Successfully passed my Ph.D. defense !!!
Aug. 2022 Our paper "two sides of the same coin: heterophily and oversmoothing in graph convolutional neural networks" is accepted to ICDM 2022
Aug. 2022 Accept the invitation as a reviewer @ ICLR 2023
Apr. 2022 Talk at Dartmouth
Apr. 2022 Talk at University of Arizona
Apr. 2022 Accept the invitation as a reviewer @ NeurIPS 2022
Mar. 2022 Talk at Hong Kong University of Science and Technology
Feb. 2022 Talk at University of Illinois, Chicago
Jan. 2022 Our paper "Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better
Practices" is accepted at the WWW 2022
Dec. 2021 Accept the invitation as a reviewer @ ICML 2022
Oct. 2021 Our paper "improving semi-supervised federated learning by reducing the gradient diversity of models" is
accepted at IEEE Big Data
Oct. 2021 Our paper accepted at 3DV
Aug. 2021 Accept the invitation as a reviewer @ ICLR 2022
June-Aug. 2021 Internship at Microsoft Research
Apr. 2021 Accept the invitation as a reviewer @ NeurIPS 2021