I am a final-year Ph.D. student in Computer Science at Vanderbilt University advised by Dr. Tyler Derr. Prior to that, I completed my B.E. degree at Harbin Institute of Technology in 2019. My main research interests focus on Data-centric Graph Machine Learning and Data-quality Aware Graph Neural Networks with applications in Graph-enhanced Recommender Systems and Information Retrieval. I have multiple publications in KDD, WWW, CIKM, WSDM, and AAAI. In addition, I regularly serve as PC members and reviewers for multiple international conferences and journals in machine learning and data mining, such as KDD, ICML, AAAI, WWW, WSDM, CIKM, TKDD, and TNNLS. In addition, I won the best paper award in the 2020 Smokey Mountain Data Challenge Competition by ORNL, first-author of Vanderbilt’s C.F.Chen Best Paper Award in 2022, co-author of Vanderbilt’s C.F. Chen Best Paper Runner-Up Award in 2023, and selected as the sole graduate student recipient of Vanderbilt’s Graduate Leadership Anchor Award for Research in 2023. Moreover, my work Imbalanced Graph Classification via GoG and Collaboration-aware Graph Convolution has been selected as the top-10 most influential paper in CIKM’22 and WWW’23.

I am currently on the job market considering both industrial and academic positions! Meanwhile, I also welcome any potential summer internship next year!

Research Interests (Research Statement):

• Graph Neural Networks, Graph Machine Learning
• Data-centric AI and Graph Data-quality Issues: Topology/Imbalance/Bias/Weak
• AI for Science/Infrastructures
• Recommender Systems, Information Retrieval, Infrastructure Networks

Email: yu.wang.1 At vanderbilt.edu. Find me on Github, Twitter, Linkedin, and Google Scholar

News

🐰-2023

• [11] Our tutorial 📚 Data-quality-aware Graph Machine Learning has been accepted at SDM'24 Tutorial, see you in Houston!
• [10] Our paper KG-based Prompting for LLMs has been accepted at Neurips'GLFrontiers workshop, see you in New Orleans!
• [09] Preprint survey on Fairness in GNNs is available now!
• [09] Preprint paper on KG-based Prompting for LLMs is available now!
• [09] Invited to serve as PC for SDM24!
• [08] Invited to serve as the reviewer for LOG24!
• [08] Invited to serve as PC for WSDM24 and AAAI24!
• [07] Preprint survey Recommendation diversity/fairness is available now!
• [07] Preprint survey Privacy in GNNs is available now!
• [05] Thrilled to receive 2023 Graduate Leadership Anchor Awards Research Branch!
• [04] AI for Science preprint Expert Knowledge for Drug Discovery is available online!
• [03] Invited to serve as a reviewer for JOCO/TKDE/TNNLS!
• [02] Invited to serve as a subreviewer for ICWSM’23!
• [02] Invited to serve as a PC member for MLoG@WSDM’23!
• [01] Thrilled to receive the American Bureau of Shipping Scholarship Award. Thank you, Tyler and our CS Department, for the nomination!
• [01] Collaboration-aware GNNs is accepted at WWW’23!
• [01] Invited to serve as PC member for both Research and Applied Track of KDD’23!
• [01] Invited to serve as the Reviewer for DAMI!

🐯-2022

• [12] Our paper Bayesian Reconstruction of Infrastructure Networks is available now!
• [12] Our paper Degree-related Bias in Link Prediction is accepted at ICDMW 22!
• [12] Excited to join Adobe as a Ph.D. research intern for Summer 23!
• [12] Invited to serve as the reviewer for TNNLS!
• [12] Present a poster at LoG'22!
• [11] Serve as two session chairs at ICDM'22!
• [11] Presented Demystify the Degree-related Bias in Recommender Systems at ICDM’22 MLoG workshop
• [11] Invited to serve as the Reviewer for DAMI!
• [11] Our extended abstract Topological-enhanced GNNs for Recommender Systems was accepted at Learning on Graphs (LOG) conference!
• [11] Two papers accepted at AAAI’23, one for fair explanation and the other for molecular graph kernel representation, congratulations Yuying and Lance!
• [10] Awarded the student travel award for attending ICDM’22
• [09] Invited to serve as the Sub-reviewer for AAAI’23
• [09] Invited to serve as PC member for WSDM’23!
• [09] Invited to serve as the Sub-reviewer for WSDM’23!
• [08] GoG for Imbalanced Graph Classification is accepted by CIKM'22!
• [07] Collaboration-aware GNNs for Recommender Systems is available.
• [06] Invited to serve as the sub-reviewer for NeurIPS22
• [05] Our paper Sensitive Leakage in GNNs is accepted at KDD’22!
• [05] Our paper Structural Explanation of Bias in GNNs is accepted at KDD'22
• [05] Our paper ChemicalX is accepted at KDD'22 and corresponding open-source library is available here
• [05] Thrilled to start my summer research scientist internship at The Home Depot!
• [05] Invited to serve as the Web Chair for the Machine Learning on Graphs (MLoG) workshop at ICDM’22!
• [04] Honored to win Vanderbilt’s C.F.Chen Best Paper Award! Extremely appreciate the help from my advisor Dr. Derr!
• [04] Poster presentation at SDM’22 Doctoral Forum!
• [04] Awarded the SDM’22 travel award!
• [04] Invited to serve as PC member for KDD’22!
• [04] Invited to serve as Reviewer for TKDE!
• [03] Invited to serve as the sub-reviewer for KDD’22!
• [02] Preprint ChemicalX: A Deep Learning Library for Drug Pair Scoring, really appreciate the guidance of Dr. Rozemberczki from AstraZeneca!
• [02] Our paper Imbalanced/Biased Graph Learning is accepted at WSDM'22!
• [02] Invited to serve as the Web Chair for Machine Learning on Graphs (MLoG) workshop at WSDM’22!
• [01] Our book chapter SSL for GNNs is available in the book Graph Neural Networks: Foundations, Frontiers, and Applications.
• [01] Awarded NSF Student Travel Award to attend doctoral forum for WSDM2022!

Before 🐲-2021

• [12/2021] Preprint GoG for Imbalanced Graph Learning!
• [11/2021] Our work Generating Synthetic Systems of Interdependent Critical Infrastructure Networks has been accepted to IEEE System Journal!
• [11/2021] Invited to serve as sub-reviewer for TheWebConf2022
• [10/2021] Preprint Distance-wise Prototypical GNNs for Imbalanced Node Classification!
• [10/2021] Invited to serve as sub-reviewer for SDM2022
• [08/2021] Serving as the session chair at KDD2021!
• [08/2021] Serving as sub-reviewer for WSDM2022!
• [08/2021] Invited to serve as PC member for AAAI2021!
• [08/2021] Our work Tree Decomposed Graph Neural Network is accepted by CIKM 2021!
• [06/2021] Preprint SSL for GNNs.
• [03/2021] Student Travel Award and Poster presentation at SDM'21 Doctoral Forum!
• [02/2021] Excited to Join NDS group supervised by Dr. Tyler Derr
• [01/2021] Awarded free registration and volunteer position at IJCAI'20!
• [11/2020] Our work A Data-Integration Analysis on Road Emissions and Traffic Patterns wins the Smoky Mountain Data Challenge!