Chao Jiang

alt text 

Chao Jiang, Staff ML Scientist at Visa Inc.
Ph.D. Auburn University
Advisor: Dr. Richard Chapman
Department of Computer Science and Software Engineering
Auburn University
Contact: Email, Linkedin, Github

Short Bio

I am working at Visa Inc after graduating from Auburn University. I obtained my Master degree in ECE from University of Oklahoma at Tulsa under the supervision of Prof. Samuel Cheng. I got my Bachelor degree in Software Engineering, Northwest A&F University.


  • [10-27-2023] “Successfully Applying Lottery Ticket Hypothesis to Diffusion Model” accepted as a poster by NeurIPS’ 2023

  • [06-12-2023] Reviewer of Computers and Security

  • [10-03-2022] Reviewer of AMIA 2023 Informatics Summit

  • [08-30-2022] I will join Visa as a staff ML scientist

  • [08-08-2022] Reviewer of Frontiers in Neurorobotics, 2022

  • [07-10-2022] Reviewer of CIKM 2022, ICDM 2022

  • [07-01-2022] “Energy-efficient Management of Data Centers using a Renewable-aware Scheduler” accepted by IEEE International Conference on Networking, Architecture, and Storage (NAS 2022)

  • [05-30-2022] “Deep Denoising of Raw Biomedical Knowledge Graph from COVID-19 Literature, LitCovid and Pubtator” accepted by Journal of Medical Internet Research 2022

  • [04-29-2022] “BETA: a comprehensive BEnchmark for computational drug TArget prediction” accepted by Briefings in Bioinformatics 2022

  • [04-06-2022] “Camouflaged Poisoning Attack on Graph Neural Networks” accepted by ACM ICMR’ 2022

  • [09-01-2021] “Automatic Construction of Biomedical Knowledge Graph from Covid-19 Literature” accepted as a poster by AMIA’ 2021

  • [03-13-2020] “Privacy-preserving Construction of Generalized Linear Mixed Model for Biomedical Computation” accepted by ISMB’ 2020

  • [10-16-2019] “Integrating local vertex/edge embedding via deep matrix fusion and siamese multi-label classification” accepted by IEEE BigData’2019

  • [04-25-2019] I will do a Summer internship at NOVO VIVO.

  • [10-16-2018] “Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering” accepted by IEEE BigData’2018

  • [08-18-2018] “Density-adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification” accepted by ICDM’2018 (acceptance rate: 11.08%)

  • [10-03-2017] “A community effort to protect genomic data sharing, collaboration and outsourcing” accepted by npj Genomic Medicine


  • Ph.D., Department of Computer Science and Software Engineering, Auburn University, Auburn, AL USA, Aug. 2017 - Aug. 2022

  • M.S., School of Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK USA, Aug. 2014 - Aug. 2016

  • B.E., College of Information Engineering, Northwest A&F University, Yangling, Shaanxi China, Sep. 2010 - July 2014

Research Interests

  • Neural network

  • Graph data mining

  • Privacy preserving computation