#Yu wang Pc#

Our paper ChemicalX is accepted at KDD'22 and corresponding open-source library is available here.Our paper Structural Explanation of Bias in GNNs is accepted at KDD'22.Our paper Sensitive Leakage in GNNs is accepted at KDD’22!.Invited to serve as the sub-reviewer for NeurIPS22.Collaboration-aware GNNs for Recommender Systems is available.GoG for Imbalanced Graph Classification is accepted by CIKM'22!.Invited to serve as the Sub-reviewer for WSDM’23!.

#Yu wang Pc#

Invited to serve as PC member for WSDM’23!.

Invited to serve as the Sub-reviewer for AAAI’23.

Awarded the student travel award for attending ICDM’22.

Two papers accepted at AAAI’23, one for fair explanation and the other for molecular graph kernel representation, congratulations Yuying and Lance!.

Our extended abstract Topological-enhanced GNNs for Recommender Systems was accepted at Learning on Graphs (LOG) conference!.

Presented Demystify the Degree-related Bias in Recommender Systems at ICDM’22 MLoG workshop.

Serve as two session chairs at ICDM'22!.

Invited to serve as the reviewer for TNNLS!.

Our paper Degree-related Bias in Link Prediction is accepted at ICDMW 22!.

Our paper Bayesian Reconstruction of Infrastructure Networks is available now!.

Invited to serve as the Reviewer for DAMI!.

Invited to serve as PC member for both Research and Applied Track of KDD’23!.

Collaboration-aware GNNs is accepted at WWW’23!.

Thank you, Tyler and our CS Department, for the nomination!

Invited to serve as a PC member for Thrilled to receive the American Bureau of Shipping Scholarship Award.

Invited to serve as a subreviewer for ICWSM’23!.

Invited to serve as a reviewer for JOCO/TKDE/TNNLS!.

AI for Science preprint Expert Knowledge for Drug Discovery is available online!.

Thrilled to receive 2023 Graduate Leadership Anchor Awards Research Branch!.

Preprint survey Privacy in GNNs is available now!.

Preprint survey Recommendation diversity/fairness is available now!.

Invited to serve as PC for WSDM24 and AAAI24!.

Invited to serve as the reviewer for LOG24!.

Preprint paper on KG-based Prompting for LLMs is available now!.

Preprint survey on Fairness in GNNs is available now!.Our paper KG-based Prompting for LLMs has been accepted at Neurips'GLFrontiers workshop, see you in New Orleans!.Our tutorial 📚 Data-quality-aware Graph Machine Learning has been accepted at SDM'24 Tutorial, see you in Houston!.Two papers 📰 Knowledge Graph Prompting for LLMs and 👫 Fair Dating Recommendation have been accepted at AAAI'24!.Find me on Github, Twitter, Linkedin, and Google Scholar News 🐰-2023 Recommender Systems, Information Retrieval, Infrastructure NetworksĮmail: yu.wang.1 At.Data-centric AI and Graph Data-quality Issues: Topology/Imbalance/Bias/Weak.Graph Neural Networks, Graph Machine Learning.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): 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.

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. I have multiple publications in KDD, 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. 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. degree at Harbin Institute of Technology in 2019. student in Computer Science at Vanderbilt University advised by Dr.