Yaran Chen

According to our database, Yaran Chen authored at least 45 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Advancing Object Goal Navigation Through LLM-enhanced Object Affinities Transfer.

Mengying Lin, Yaran Chen, Dongbin Zhao, Zhaoran Wang

CoRR, 2024

2023

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen

IEEE Trans. Syst. Man Cybern. Syst., September, 2023

ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search.

Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao

IEEE Trans. Cogn. Dev. Syst., September, 2023

RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks.

Yaran Chen, Wenbo Cui, Yuanwen Chen, Mining Tan, Xinyao Zhang, Dongbin Zhao, He Wang

CoRR, 2023

ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery.

Xin Liu, Yaran Chen, Dongbin Zhao

CoRR, 2023

Multi-modal Learning based Prediction for Disease.

Yaran Chen, Xueyu Chen, Yu Han, Haoran Li, Dongbin Zhao, Jingzhong Li, Xu Wang

CoRR, 2023

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning.

Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao

CoRR, 2023

NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning.

Haoran Li, Shasha Liu, Mingjun Ma, Guangzheng Hu, Yaran Chen, Dongbin Zhao

CoRR, 2023

Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer.

Nannan Li, Yaran Chen, Dongbin Zhao

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

IEEE Trans. Syst. Man Cybern. Syst., 2022

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss.

Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao

IEEE Trans. Neural Networks Learn. Syst., 2022

BiFNet: Bidirectional Fusion Network for Road Segmentation.

Haoran Li, Yaran Chen, Qichao Zhang, Dongbin Zhao

IEEE Trans. Cybern., 2022

ModuleNet: Knowledge-Inherited Neural Architecture Search.

Yaran Chen, Ruiyuan Gao, Fenggang Liu, Dongbin Zhao

IEEE Trans. Cybern., 2022

BViT: Broad Attention based Vision Transformer.

Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao

CoRR, 2022

Neurons Perception Dataset for RoboMaster AI Challenge.

Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

CNN-G: Convolutional Neural Network Combined With Graph for Image Segmentation With Theoretical Analysis.

Yi Lu, Yaran Chen, Dongbin Zhao, Bao Liu, Zhichao Lai, Jianxin Chen

IEEE Trans. Cogn. Dev. Syst., 2021

MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation.

Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li

Neurocomputing, 2021

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

CoRR, 2021

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search.

Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao

CoRR, 2021

MVM3Det: A Novel Method for Multi-view Monocular 3D Detection.

Haoran Li, Zicheng Duan, Mingjun Ma, Yaran Chen, Jiaqi Li, Dongbin Zhao

CoRR, 2021

IA-CNN: A generalised interpretable convolutional neural network with attention mechanism.

Zhisong Zhang, Yaran Chen, Haoran Li, Qichao Zhang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A spatial-temporal attention model for human trajectory prediction.

Xiaodong Zhao, Yaran Chen, Jin Guo, Dongbin Zhao

IEEE CAA J. Autom. Sinica, 2020

Heuristic Rank Selection with Progressively Searching Tensor Ring Network.

Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu

CoRR, 2020

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

CoRR, 2020

Efficient Neural Architecture Search: A Broad Version.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen

CoRR, 2020

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

ContourRend: A Segmentation Method for Improving Contours by Rendering.

Junwen Chen, Yi Lu, Yaran Chen, Dongbin Zhao, Zhonghua Pang

Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

RailNet: An Information Aggregation Network for Rail Track Segmentation.

Haoran Li, Qichao Zhang, Dongbin Zhao, Yaran Chen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Shift-Invariant Convolutional Network Search.

Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes].

Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen

IEEE Comput. Intell. Mag., 2019

Simplified Space Based Neural Architecture Search.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Deep Kalman Filter with Optical Flow for Multiple Object Tracking.

Yaran Chen, Dongbin Zhao, Haoran Li

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Graph-FCN for Image Semantic Segmentation.

Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints.

Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Multi-task learning for dangerous object detection in autonomous driving.

Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang

Inf. Sci., 2018

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving.

Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen

CoRR, 2018

DeepSign: Deep Learning based Traffic Sign Recognition.

Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A temporal-based deep learning method for multiple objects detection in autonomous driving.

Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Efficient Network for Lane Segmentation.

Haoran Li, Dongbin Zhao, Yaran Chen, Qichao Zhang

Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

2017

Deep Reinforcement Learning With Visual Attention for Vehicle Classification.

Dongbin Zhao, Yaran Chen, Le Lv

IEEE Trans. Cogn. Dev. Syst., 2017

Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection.

Yaran Chen, Dongbin Zhao

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016

Convolutional fitted Q iteration for vision-based control problems.

Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

An order schedule method in mass customization for cell phone.

Yaran Chen, Xiwei Liu, Yuan Liu, Xiuqing Shang, Gang Xiong

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014

A computational experiment method in ACP framework for complex urban traffic networks.

Yaran Chen, Shu Lin, Gang Xiong, Qing-Jie Kong, Fenghua Zhu

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014