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!

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