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Ye Shi

University of Technology Sydney · AU
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Area of research
Automotive Engineering · Electrical and Electronic Engineering
Research interest
Research focused on Demand response and Personalization, with related work in Smart grid, Big data, Federated learning. Notable publications include 'FedTP: Federated Learning by Transformer Personalization', 'Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid', and 'Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment'.
h-index
citations
194
works
3
NIH funding
primary concept
email

Recent publications

FedTP: Federated Learning by Transformer Personalization
IEEE Transactions on Neural Networks and Learning Systems 2023cited by 112position: lastdoi
Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid
Applied Energy 2021cited by 57position: firstdoi
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment
IEEE Transactions on Emerging Topics in Computational Intelligence 2020cited by 25position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Chin‐Teng Lin · University of Technology Sydney3 papers (2020–2023)Weiping Ding · Nantong University2 papers (2020–2023)Jianguo Zhu · The University of Sydney1 papers (2021–2021)Hongxia Li · Anhui Medical University1 papers (2023–2023)Xin Yao · University of Birmingham1 papers (2020–2020)Jingya Wang · Shihezi University1 papers (2023–2023) · 1 papers (2023–2023)Yuhui Shi · University of Technology Sydney1 papers (2020–2020)H. Vincent Poor · Princeton University1 papers (2021–2021)Hoang Duong Tuan · University of Technology Sydney1 papers (2021–2021) · 1 papers (2023–2023)Yu‐Cheng Chang · University of Michigan–Ann Arbor1 papers (2020–2020)Andrey V. Savkin · UNSW Sydney1 papers (2021–2021)
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