Welcome! I am Jiaxi Yang. I am a second-year Ph.D student, majoring in Informatics at the
Pennsylvania State University (PSU).
Previously, I got my master degree in 2024 from
University of Electronic Science and
Technology of China (UESTC).
I am very fortunate to have Prof. Sheng Cao as my
supervisor.
I am working closely with Prof. Xiaoxiao Li at UBC in the field of trustworthy AI.
I also majored in Information System and got my bachelor's degree at Jxufe in June 2021.
My research interests broadly lie in Trustworthy AI, Federated Learning. I
am also
interested in Incentive Mechanism Design, Game Theory.
News
[08/2024] Starting my Ph.D at PSU! We are!!
[06/2024] One paper is accepted by IEEE Internet of Things Journal!
[06/2024] I am moving to Penn State University as a PhD student!
[05/2024] I successfully defended my master's thesis!
[10/2023] One paper is accepted by WCNC 2024!
[10/2023] Obtaining first-class scholarship at UESTC!
[06/2023] Our poster was presented in CVPR workshop!
[05/2023] Our paper is accepted by CVPR workshop!
[09/2022] Starting my research internship at UBC, Tuum est!
[07/2022] Our paper is accepted by WASA 2022!
Publications
For the complete list, please check my google scholar. Email me if you have any questions about my
papers or code, or if you would like to collaborate with me. (* indicates equal contribution)
The paper proposes a new
approach to designing
incentive mechanisms for cross-device federated learning (FL) under real-world
scenarios, taking into
account the stochastic and hard-to-estimate nature of clients' performance. The
proposed FL Incentive
Mechanism is based on Portfolio theory and is the first application of this theory
to resolve FL resource
allocation problems. To accurately reflect practical FL scenarios, the paper
introduces the Federated Learning
Agent-Based Model (FL-ABM), which enables a deeper understanding of the factors that
influence the system's outcomes.
The paper introduces
Generative Model Valuator (GMValuator),
a new approach for data valuation in deep generative models, which have been
neglected by existing data valuation methods
focused on discriminative models. GMValuator is model-agnostic in generative models,
provides a training-free, post-hoc data valuation strategy,
and is the first work to address the data valuation problem in deep generative
models from a similarity-matching perspective.
The paper proposes a novel
data structure
called MerkleRB-Tree to improve query efficiency for multi-dimensional metadata in
blockchain-based
federated learning. Selecting suitable participants in FL by storing and querying
metadata on blockchain
could ensure reliable data owners and improve model quality.
Patents
Insurance Compensation Apparatus and Method based on Hybrid Smart Contracts.
Sheng Cao,Qian Zhang,Sixuan Dang, Guanghao Xiong,Haoqu Chen, Jiaxi Yang, Songdeng Niu,
Zifeng Yang.
CN202110835114.8
[2020] China National Scholarship,
(Top 0.2% Nationwide).
[2020] Learning Model Scholarship.
[2020] Star of Self-improvement Scholarship.
[2019] Enterprise Scholarship from Bank of Jiujiang.
[2019] Merit Student Scholarship.
Rewards
[2020] National Second Prize in China Computer Federation National Conference on Services
Computing Software Innovation Competition.
[2020] Bronze Award in Challenge Cup Competition Jiangxi Province.
[2020] First Prize in University Student Computer Works Competition of Jiangxi Province.
[2020] Third Prize in The 15th China Student Electronic Design Competition of Jiangxi Province.
[2020] Bronze Award in Challenge Cup Competition Jiangxi Province.
[2019] Third Prize in Jiangxi Province in Huachuang Cup Market Investigation and Analysis
Competition.
[2019] Second Prize in Jiangxi Fujian Zone in iCAN Competition.
[2019] National Third Prize in 2019 Pan-Pearl River Delta University Student Computer Works
Competition.
[2019] National Third Prize in Chinese University Student Computer Design Competition.
[2019] First Prize (Special Project award) in University Student Computer Works Competition of
Jiangxi Province.
[2019] Third Prize in National Final of Lanqiao Cup.
[2019] Third Prize in Challenge Cup National Undergraduate Curricular Academic Science and
Technology Works Contest.
[2018] Third Prize in University Student Computer Works Competition of Jiangxi Province.
[2020] National Subject in National University Student Innovation and Entrepreneurship Training
Programme (National Level, Finish with Excellent Level).
Appointment
To schedule an appointment with me, please use the following link: