Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Zhuwei Qin"'
Publikováno v:
High-Confidence Computing, Vol 2, Iss 4, Pp 100082- (2022)
Personal daily mobility trajectories/traces like Google Location Service integrates many valuable information from individuals and could benefit a lot of application scenarios, such as pandemic control and precaution, product recommendation, customiz
Externí odkaz:
https://doaj.org/article/1bab288e322a4047978d9180e45eaf9e
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:530-543
Autor:
Xiaorong Zhang, Quintero, David, Khalkhal, Fatemeh, Zhaoshuo Jiang, Zhuwei Qin, Jenna Wong, Yiyi Wang, Wenshen Pong, Petrulis, Robert
Publikováno v:
Proceedings of the ASEE Annual Conference & Exposition; 2023, p1-14, 14p
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40:1258-1271
In recent years, the neural network (NN) has shown its great potential in image recognition tasks of autonomous driving systems, such as traffic sign recognition, pedestrian detection, etc. However, theoretically well-trained NNs usually fail their p
Publikováno v:
2022 IEEE International Conference on Communications Workshops (ICC Workshops).
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40:246-259
Although convolutional neural networks (CNNs) have been widely applied in various cognitive applications, they are still very computationally intensive for resource-constrained mobile systems. To reduce the resource consumption of CNN computation, ma
Publikováno v:
KDD
Federated learning learns from scattered data by fusing collaborative models from local nodes. However, the conventional coordinate-based model averaging by FedAvg ignored the random information encoded per parameter and may suffer from structural fe
Autor:
Zhuwei Qin
Publikováno v:
Proceedings of the 2021 on Great Lakes Symposium on VLSI.