Chenyi Liu

According to our database, Chenyi Liu authored at least 19 papers between 2012 and 2023.

Collaborative distances:

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

2023

Machine Learning for Robust Network Design: A New Perspective.

Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu

IEEE Commun. Mag., October, 2023

Scalable Deep Reinforcement Learning-Based Online Routing for Multi-Type Service Requirements.

Chenyi Liu, Pingfei Wu, Mingwei Xu, Yuan Yang, Nan Geng

IEEE Trans. Parallel Distributed Syst., August, 2023

A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints.

Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu

IEEE Trans. Veh. Technol., May, 2023

6DOF pose estimation of a 3D rigid object based on edge-enhanced point pair features.

Chenyi Liu, Fei Chen, Lu Deng, Renjiao Yi, Lintao Zheng, Chenyang Zhu, Jia Wang, Kai Xu

Comput. Vis. Media, February, 2023

FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design.

Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li

CoRR, 2023

2022

ARM3D: Attention-based relation module for indoor 3D object detection.

Yuqing Lan, Yao Duan, Chenyi Liu, Chenyang Zhu, Yueshan Xiong, Hui Huang, Kai Xu

Comput. Vis. Media, 2022

Neurotrie: Deep Reinforcement Learning-based Fast Software IPv6 Lookup.

Hao Chen, Yuan Yang, Mingwei Xu, Yuxuan Zhang, Chenyi Liu

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021

CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints.

Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang, Mingwei Xu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Distributed and Adaptive Traffic Engineering with Deep Reinforcement Learning.

Nan Geng, Mingwei Xu, Yuan Yang, Chenyi Liu, Jiahai Yang, Qi Li, Shize Zhang

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

DRL-OR: Deep Reinforcement Learning-based Online Routing for Multi-type Service Requirements.

Chenyi Liu, Mingwei Xu, Yuan Yang, Nan Geng

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Adaptive and Low-cost Traffic Engineering based on Traffic Matrix Classification.

Nan Geng, Mingwei Xu, Yuan Yang, Enhuan Dong, Chenyi Liu

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

Large-Truck Safety Warning System Based on Lightweight SSD Model.

Dong Xiao, Hongzong Li, Chenyi Liu, Qifei He

Comput. Intell. Neurosci., 2019

A Method of Fault Monitoring and Diagnosis for the Thickener in Hydrometallurgy.

Dong Xiao, Ba Tuan Le, Zhichao Yu, Chenyi Liu, Hongzong Li, Qifei He, Hongfei Xie, Jichun Wang

IEEE Access, 2019

2018

Robust visual tracking based on deep convolutional neural networks and kernelized correlation filters.

Hua Yang, Donghong Zhong, Chenyi Liu, Kaiyou Song, Zhouping Yin

J. Electronic Imaging, 2018

Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders.

Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Automatic tracking of pupillary dynamics from <i>in vivo</i> functional optical coherence tomography images.

Chenyi Liu, Alexander Wong, Alireza A. Moayed, Paul W. Fieguth, Hongxia Bie, Kostadinka K. Bizheva

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016

2015

Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements.

Alexander Wong, Chenyi Liu, Xiao Wang, Paul W. Fieguth, Hongxia Bie

BMC Medical Imaging, 2015

2014

Noise-compensated homotopic non-local regularized reconstruction for rapid retinal optical coherence tomography image acquisitions.

Chenyi Liu, Alexander Wong, Paul W. Fieguth, Kostadinka K. Bizheva, Hongxia Bie

BMC Medical Imaging, 2014

2012

Background subtraction and dust storm detection.

Chenyi Liu, Paul W. Fieguth, Christoph S. Garbe

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012