22 citations · 24 across the 5 of their papers we have counts for
5 papers
Rina: Enhancing Ring-AllReduce with In-network Aggregation in Distributed Model Training
Zixuan Chen, Xuandong Liu, Minglin Li +7
Parameter Server (PS) and Ring-AllReduce (RAR) are two widely utilized synchronization architectures in multi-worker Deep Learning (DL), also referred to as Distributed Deep Learni…
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture
Zixuan Chen, Ze Ji, Shuyang Liu +3
Enabling robots to effectively imitate expert skills in longhorizon tasks such as locomotion, manipulation, and more, poses a long-standing challenge. Existing imitation learning (…
Stylized Table Tennis Robots Skill Learning with Incomplete Human Demonstrations
Xiang Zhu, Zixuan Chen, Jianyu Chen
In recent years, Reinforcement Learning (RL) is becoming a popular technique for training controllers for robots. However, for complex dynamic robot control tasks, RL-based method…
DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
Zixuan Chen, Zewei He, Zhe-Ming Lu
Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to…
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models
Zixuan Chen, Junhong Zou, Xiaotao Wang
Semantic segmentation is an important task in computer vision, from which some important usage scenarios are derived, such as autonomous driving, scene parsing, etc. Due to the emp…