no code implementations • 3 Feb 2024 • Lu Wang, Li Chang, Ruipeng Zhang, Kexun Li, Yu Wang, Wei Chen, Xuanlin Feng, Mingwei Sun, Qi Wang, Charles Damien Lu, Jun Zeng, Hua Jiang
Excessive energy intake increased mortality rapidly in the early period of the acute phase.
1 code implementation • 18 Dec 2023 • Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya zhang, Yanfeng Wang
Vision-Language Pre-training (VLP) that utilizes the multi-modal information to promote the training efficiency and effectiveness, has achieved great success in vision recognition of natural domains and shown promise in medical imaging diagnosis for the Chest X-Rays (CXRs).
1 code implementation • CVPR 2023 • Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya zhang, Qi Tian, Yanfeng Wang
Federated Domain Generalization (FedDG) attempts to learn a global model in a privacy-preserving manner that generalizes well to new clients possibly with domain shift.
1 code implementation • Sensors 2022 • Ruipeng Zhang, Chen Xu, Mengjun Xie
The experimental results demonstrate that our solution can maintain high performance with a throughput of approximately 800 reads per second (RPS), 50–80 transactions per second (TPS), and a latency of 50 ms–2 s under light to moderate workloads.
1 code implementation • Sensors 2022 • Ruipeng Zhang, Chen Xu, Mengjun Xie
The experimental results demonstrate that our solution can maintain high performance with a throughput of approximately 800 reads per second (RPS), 50–80 transactions per second (TPS), and a latency of 50 ms–2 s under light to moderate workloads.
1 code implementation • Sensors 2022 • Ruipeng Zhang, Chen Xu, Mengjun Xie
The experimental results demonstrate that our solution can maintain high performance with a throughput of approximately 800 reads per second (RPS), 50–80 transactions per second (TPS), and a latency of 50 ms–2 s under light to moderate workloads.
no code implementations • 16 Oct 2022 • Ruipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, Sicun Gao
Learning-based methods have shown promising performance for accelerating motion planning, but mostly in the setting of static environments.
1 code implementation • 21 Apr 2022 • Binjie Qin, Haohao Mao, Ruipeng Zhang, Yueqi Zhu, Song Ding, Xu Chen
Video decomposition is very important to extract moving foreground objects from complex backgrounds in computer vision, machine learning, and medical imaging, e. g., extracting moving contrast-filled vessels from the complex and noisy backgrounds of X-ray coronary angiography (XCA).
7 code implementations • IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) 2021 • Ruipeng Zhang, Mengjun Xie, Jiang Bian
The world has witnessed the proliferation of mobile technologies as well as smartphone-related cybercrimes in recent years.
1 code implementation • CVPR 2021 • Qinwei Xu, Ruipeng Zhang, Ya zhang, Yanfeng Wang, Qi Tian
Modern deep neural networks suffer from performance degradation when evaluated on testing data under different distributions from training data.
1 code implementation • IEEE International Conference on Network Protocols (ICNP) 2019 • Ruipeng Zhang, Chen Xu, Mengjun Xie
In this work, we present a cloud-based platform named EZSetup for hands-on cybersecurity practice at scale and our experience of using it in class.
1 code implementation • IEEE International Conference on Communications (ICC) 2019 • Ruipeng Zhang, Mengjun Xie, Li Yang
Our evaluation results show that a provider network with Isoflat can achieve similar network performance as a flat or VLAN provider network.