Welcome!

I am a Ph.D. student in Computer Science at Vanderbilt University advised by Dr. Tyler Derr. I am always considering potential internship opportunities all the time!

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2023

• [02/2023] Invitied to serve as a reviewer for JOCO!
• [02/2023] Invitied to serve as a reviewer for TKDE!
• [02/2023] Invitied to serve as a subreviewer for ICWSM’23!
• [02/2023] Invitied to serve as a PC member for MLoG@WSDM’23!
• [01/2023] Thrilled to receive the American Bureau of Shipping Scholarship Award. Thank you Tyler and our CS Department for the nomination!
• [01/2023] Our work ‘Collaboration-aware Graph Convolution’ is accepted at WWW’23!
• [01/2023] Invited to serve as PC member for both Research and Applied Track of KDD’23!
• [01/2023] Invited to serve as the Reviewer for DAMI!

2022

• [01/2022] Our paper ‘A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures’ is available now!
• [12/2022] Our paper ‘Degree-related Bias in Link Prediction’ is accepted at ICDMW 22!
• [12/2022] Excited to accept the offer to join Adobe as a Ph.D. research intern for Summer 23!
• [12/2022] Invited to serve as the reviewer for TNNLS!
• [12/2022] Present a poster at LoG'22!
• [11/2022] Serve as two session chairs at ICDM'22!
• [11/2022] Presented our work ‘Demystify the Degree-related Bias in Recommender Systems’ at ICDM’22 MLoG workshop
• [11/2022] Invited to serve as the Reviewer for DAMI!
• [11/2022] Our extended abstract ‘‘Collaboration-Aware Graph Neural Networks for Recommendation Systems’’ was accepted at Learning on Graphs (LOG) conference!
• [11/2022] Two papers accepted at AAAI’23, one for fair explanation and the other for molecular graph kernel representation, congraulations Yuying and Lance!
• [10/2022] Awarded the student travel award for attending ICDM’22
• [09/2022] Invited to serve as the Sub-reviewer for AAAI’23
• [09/2022] Invited to serve as PC member for WSDM’23!
• [09/2022] Invited to serve as the Sub-reviewer for WSDM’23!
• [08/2022] Our paper Imbalanced Graph Classification is accepted at CIKM'22 research track!
• [07/2022] Our paper ‘Collaboration-Aware Graph Neural Networks for Recommendation Systems’ is available now. Go and Check how our proposed CAGCN* achieves nearly 10% Recall@20 and 80% speed-up over LightGCN!
• [06/2022] Invited to serve as the sub-reviewer for NeurIPS22
• [05/2022] My first author paper ‘Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage’ is accepted at KDD’22 research track!
• [05/2022] Our paper 'On Structural Explanation of Bias in Graph Neural Networks' is accepted at KDD'22
• [05/2022] Our paper "ChemicalX: A Deep Learning Library for Drug Pair Scoring" is accepted at KDD'22 and corresponding open-source library is available here
• [05/2022] Thrilled to start my summer research scientist intern at The Home Depot!
• [05/2022] Invited to serve as the Web Chair for Machine Learning on Graphs (MLoG) workshop at ICDM’22!
• [04/2022] Honored to win Vanderbilt’s C.F.Chen Best Paper Award! Extremely appreciate the help from my advisor Dr. Derr!
• [04/2022] Poster presentation at SDM’22 Doctoral Forum!
• [04/2022] Awarded the SDM’22 travel award!
• [04/2022] Invited to serve as PC member for KDD’22!
• [04/2022] Invited to serve as Reviewer for TKDE!
• [03/2022] Invited to serve as the sub-reviewer for KDD’22!
• [02/2022] Preprint "ChemicalX: A Deep Learning Library for Drug Pair Scoring", really appreciate the guidance of Dr. Rozemberczki from AstraZeneca!
• [02/2022] Our paper 'Fair Graph Representation Learning with Imbalanced and Biased Data' is accepted at WSDM'22!
• [02/2022] Invited to serve as the Web Chair for Machine Learning on Graphs (MLoG) workshop at WSDM’22!
• [01/2022] Our chapter “Graph Neural Networks: Self-supervised Learning” is available in the book "Graph Neural Networks: Foundations, Frontiers, and Applications".
• [01/2022] Awarded NSF Student Traveral Award to attend doctoral forum for WSDM2022!

2019-2021

• [12/2021] Preprint "Imbalanced Graph Classification via Graph-of-Graph Neural Networks"!
• [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 Graph Neural Network 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 “Graph Neural Networks: Self-supervised Learning”.
• [03/2021] Awarded 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’’ is accepted at Smoky Mountains Computational Sciences and Engineering Conference 2020. Springer, Cham!
• [08/2020] Best Paper Award in SMC Data Challenge 2020!
• [08/2019] Join Dr. Hiba Baroud's group at Vanderbilty.
• [06/2019] Graduate from Harbin Insistute of Technology.