Tyler Derr
Short Bio
Tyler Derr is an Assistant Professor in the Department of Computer Science, Teaching and Affiliate Faculty in the Data Science Institute, and Faculty Fellow in the Frist Center for Autism and Innovation at
Vanderbilt University. He directs the Network and Data Science (NDS) lab, which focuses on social computing, data
mining, and machine learning, especially in social network analysis,
deep learning on graphs, and data science for social good with
applications in education, health, political science, and autism research. He received his
PhD (2020) in Computer Science from Michigan State University under
the supervision of Dr. Jiliang Tang
and was a member of the Data Science and Engineering (DSE) Lab and Teachers in Social Media (TISM) Project. He had completed his MS
(2015) in Computer Science at The Pennsylvania State University and
dual BS (2013) in Computer Science and Mathematical Sciences at The
Pennsylvania State University. He was the recipient of the Best Reviewer Award at
ICWSM 2019 & 2021, the Best Student Poster Award at SDM 2019, the “People's
Choice” Award for the 3 Minute Thesis Competition at MSU, and the Fall 2020 Teaching Innovation Award from the School of Engineering at Vanderbilt. Tyler also actively serves as
a reviewer/program committee member for journals/conferences in his
research domain.
[Open positions] I am recruiting PhD students to work with me on topics in my general interests (seen below). Master's and undergraduate students within VU and visiting scholars are also welcome. Please feel free to email me. Please see here for position details.
Research Interests
data mining, network anlaysis, social computing, graph neural networks, graph
mining, machine learning, network measures and models, data science for social good (e.g., education, health, political science, and autism research)
Call for Papers
News (See past news before joining VU here)
2020
12/2020: Invited to serve as PC member for ICML2021
12/2020: Our paper ‘‘Stock Selection via Spatiotemporal Hypergraph
Attention Network: A Learning to Rank Approach’’ is accepted at
AAAI2021
12/2020: Invited to serve as PC member for ACL2021
11/2020: Invited to serve as PC member for KDD2021
11/2020: Introduced CS and AI topics to students at Ardsley High
School through Skype a Scientist
11/2020: Panelist on the ‘‘Graduate School is not a Job’’ graduate recruitment event
10/2020: Our paper ‘‘Node Similarity Preserving Graph Convolutional
Networks’’ is accepted at WSDM2021
10/2020: Our paper ‘‘CopyAttack: Attacking Black-box Recommendations
via Copying Cross-domain User Profiles’’ is accepted at ICDE2021
10/2020: Gave an invited talk ‘‘Navigating the Faculty Job Search’’ in Michigan State's College of Engineering Graduate Lunch &
Learn seminar
9/2020: Gave an invited talk ‘‘Graph Neural Networks: Social
Networks and Beyond’’ in the Biomedical Engineering Department at
Vanderbilt Unv.
9/2020: Gave an invited talk at
Change++
9/2020: Our tutorial ‘‘Graph Neural Networks: Models and Applications’’ has been accepted by AAAI2021
9/2020: Preprint ‘‘Road to
the White House: Analyzing the Relations Between Mainstream and Social
Media During the U.S. Presidential Primaries’’
9/2020: Invited to serve as PC member for IJCAI2021
9/2020: Invited to serve as PC member for WWW2021
9/2020: Our paper ‘‘Understanding and Promoting Teacher Connections in Online Social
Media: A Case Study on Pinterest.’’ is accepted at IEEE TALE2020
8/2020: Invited to serve as Proceeding Chair of KDD2021
8/2020: Our paper ‘‘Learning from Incomplete Labeled Data via
Adversarial Data Generation’’ is accepted at ICDM2020
8/2020: Invited to serve as PC member for AAAI2021
8/2020: Invited to serve as PC member for
GTA3@BigData2020
8/2020: Invited keynote at joint workshops
Deep
Learning on Graphs: Methods and Applications and
Mining and Learning with Graphs at KDD2020
8/2020: Invited to serve as a reviewer for EAAI2021.
8/2020: Awarded KDD2020 Student Registration Award (and partial KDD2021
registation credit) from NSF and SIGKDD
8/2020: I joined Vanderbilt University and established the Network
and Data Science (NDS) Lab
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