Shuaicheng Zhang
Brief Intro
I am a forth-year Ph.D. student in the Department of Computer Science at Virginia Tech, advised by Prof. Dawei Zhou. I obtained my B.S. degree in Computer Science at Virginia Tech in 2018 and my M.S. degree in Telecommunication Engineering at the University of Maryland, College Park in 2020. My research interests lie in machine learning on graphs, AI for finance and deep generative models with applications in financial fraud detection, personalized federated learning, and temporal relation extraction.
News
[09/2023]: One paper is accepted by ICAIF 2023 with oral, see you in New York 😊!
[07/2023]: Attending ICML 2023 in Honolulu, HI. See you at our poster session😊!
[05/2023]: New preprint available!
[05/2023]: I will join IBM-MIT lab this summer to work on deep graph generative models!
[05/2023]: One paper is accepted by ICML 2023, see you in Hawaii 😊!
[04/2023]: Thanks for ML day-Amazon 2023 Travel Grant!
[03/2023]: Selected as the CCI Cyber Innovation Scholar!
[03/2022]: I accepted the invitation to serve as a PC of NLPCC 2023.
[10/2022]: Attending CIKM 2022 in Atlanta, GA. See you at our workshop😊!
[10/2022]: Thanks for CIKM 2022 NSF Travel Award!
[07/2022]: Attending NAACL 2022 in Seattle, WA.
[06/2022]: I accepted the invitation to serve as a Publicity Chair of the 1st Trustlog workshop@CIKM22
[05/2022]: My website is alive!!!
[04/2022]: One paper is accepted by Findings of NAACL 2022, see you in Seattle 😊!
[04/2022]: I accepted the invitation to serve as a Program Committee member of NLPCC 2022.
[02/2022]: I accepted the invitation to serve as a Reviewer of SIGIR 2022.
[02/2022]: I accepted the invitation to serve as a Reviewer of KDD 2022.