no code implementations • 16 Apr 2024 • Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang
Protein-protein interactions (PPIs) play key roles in a broad range of biological processes.
1 code implementation • 1 Mar 2024 • Zeju Cai, Jianguo Chen, Yuting Fan, Zibin Zheng, Keqin Li
We explore why blockchain is applicable to FL, how it can be implemented, and the challenges and existing solutions for its integration.
no code implementations • 14 Oct 2023 • Jianguo Chen, Jinlong Lei, HongSheng Qi, Yiguang Hong
This work studies the parameter identification problem of a generalized non-cooperative game, where each player's cost function is influenced by an observable signal and some unknown parameters.
no code implementations • 14 Oct 2022 • Ziqi Gao, Yuntao Wang, Jianguo Chen, Junliang Xing, Shwetak Patel, Xin Liu, Yuanchun Shi
The efficiency evaluation on an edge device showed that MMTSA achieved significantly better accuracy, lower computational load, and lower inference latency than SOTA methods.
no code implementations • 19 Jan 2021 • Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
The BSDP system contains four modules: bicycle drop-off location clustering, bicycle-station graph modeling, bicycle-station location prediction, and bicycle-station layout recommendation.
no code implementations • 19 Jan 2021 • Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
We model the DL-PBS system from the perspective of CPS and use deep learning to predict the layout of bicycle parking spots and the dynamic demand of bicycle dispatching.
no code implementations • 4 Jul 2020 • Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak.
1 code implementation • 23 Nov 2019 • Jianguo Chen, Philip S. Yu
However, clustering algorithms based on density peak have limited clustering effect on data with varying density distribution (VDD), equilibrium distribution (ED), and multiple domain-density maximums (MDDM), leading to the problems of sparse cluster loss and cluster fragmentation.
no code implementations • 12 Apr 2019 • Jianguo Chen, Kenli Li, Qingying Deng, Keqin Li, Philip S. Yu
We implement the proposed DIVS system and address the problems of parallel training, model synchronization, and workload balancing.
no code implementations • 17 Oct 2018 • Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Keqin Li, Philip S. Yu
In this paper, a Periodicity-based Parallel Time Series Prediction (PPTSP) algorithm for large-scale time-series data is proposed and implemented in the Apache Spark cloud computing environment.
no code implementations • 17 Oct 2018 • Jianguo Chen, Kenli Li, Kashif Bilal, Xu Zhou, Keqin Li, Philip S. Yu
In this paper, we focus on the time-consuming training process of large-scale CNNs and propose a Bi-layered Parallel Training (BPT-CNN) architecture in distributed computing environments.
no code implementations • 17 Oct 2018 • Jianguo Chen, Kenli Li, Huigui Rong, Kashif Bilal, Nan Yang, Keqin Li
It is crucial to provide compatible treatment schemes for a disease according to various symptoms at different stages.