Chao Jiang
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Chao Jiang, Staff ML Scientist at Visa Inc. |
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.
News
[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
Education
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