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Chongqiang Shen - IEEE Xplore Author Profile

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Author details

Chongqiang Shen

Publications

3

Citations

0

Publications by Year

20242025

Co-Authors:

Yang ChenGang HeXingcan LiJianbo LuQi Ma

Show All Co-Authors (9)

Chongqiang Shen

Affiliation

College of Mechanical and Vehicle Engineering

Chongqing University

Chongqing, China

Publication Topics

Object Detection,
Autonomous Vehicles,
Bounding Box,
Adaptive Detection,
Adversarial Training,
Aleatoric Uncertainty,
Average Precision,
Backbone Network,
Bayesian Inference,
Bayesian Model,
Bayesian Neural Network,
Classification Loss

Biography

Chongqiang Shen (Student Member, IEEE) received the B.S. degree (Hons.) in vehicle engineering from Wuhan University of Technology, China, in 2022. He is currently pursuing the M.S. degree in vehicle engineering with Chongqing University, Chongqing, China. His research interests include out-of-distribution (OOD) detection and perceived safety of autonomous driving.(Based on document published on 10 February 2025).

Publications

3

Citations

0

Publications by Year

20242025

Co-Authors:

Yang Chen
Gang He
Xingcan Li
Jianbo Lu
Qi Ma

Show All Co-Authors (9)

Author's Published Works

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Showing 1-6 of 6 results

Conferences (3)

Journals (3)

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Kaicheng Yang(6)
Zirui Liu(6)
Tong Yang(6)
Bin Cui(4)
Yikai Zhao(3)
Peng Cheng Laboratory, Shenzhen, China(5)
National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China(2)
ZTE Corporation, Beijing, China(1)
Peng Cheng Laboratory, Shenzhen, Guangdong, China(1)
School of Computer Science, National Key Laboratory for Multimedia Information Processing, Peking University, Beijing, China(1)
IEEE Transactions on Parallel and Distributed Systems(2)
2021 IEEE 29th International Conference on Network Protocols (ICNP)(1)
2022 IEEE 30th International Conference on Network Protocols (ICNP)(1)
2023 IEEE 39th International Conference on Data Engineering (ICDE)(1)
IEEE Transactions on Knowledge and Data Engineering(1)
IEEE(6)
Anaheim, CA, USA(1)
Dallas, TX, USA(1)
Lexington, KY, USA(1)
Data Structure(6)
Hash Function(6)
Large Flow(4)
Small Flow(4)
Average Relative Error(3)

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A Unified Framework for Mining Batch and Periodic Batch in Data Streams

Zirui Liu;Xiangyuan Wang;Yuhan Wu;Tong Yang;Kaicheng Yang;Hailin Zhang;Yaofeng Tu;Bin Cui

IEEE Transactions on Knowledge and Data Engineering

Year: 2024 | Volume: 36, Issue: 11 | Journal Article |

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Batch is an important pattern in data streams, which refers to a group of identical items that arrive closely. We find that some special batches that arrive periodically are of great value. In this paper, we formally define a new pattern, namely periodic batches. A group of periodic batches refers to several batches of the same item, where these batches arrive periodically. Studying periodic batch...Show More

A Unified Framework for Mining Batch and Periodic Batch in Data Streams

Zirui Liu;Xiangyuan Wang;Yuhan Wu;Tong Yang;Kaicheng Yang;Hailin Zhang;Yaofeng Tu;Bin Cui

IEEE Transactions on Knowledge and Data Engineering

Year: 2024 | Volume: 36, Issue: 11 | Journal Article |

BurstBalancer: Do Less, Better Balance for Large-Scale Data Center Traffic

Zirui Liu;Yikai Zhao;Zhuochen Fan;Tong Yang;Xiaodong Li;Ruwen Zhang;Kaicheng Yang;Zihan Jiang;Zheng Zhong;Yi Huang;Cong Liu;Jing Hu;Gaogang Xie;Bin Cui

IEEE Transactions on Parallel and Distributed Systems

Year: 2024 | Volume: 35, Issue: 6 | Journal Article |

Cited by: Papers (1)

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Layer-3 load balancing is a key topic in the networking field. It is well acknowledged that flowlet is the most promising solution because of its good trade-off between load balance and packet reordering. However, we find its one significant limitation: it makes the forwarding paths of flows unpredictable. To address this limitation, this article presents BurstBalancer, a simple yet efficient load...Show More

BurstBalancer: Do Less, Better Balance for Large-Scale Data Center Traffic

Zirui Liu;Yikai Zhao;Zhuochen Fan;Tong Yang;Xiaodong Li;Ruwen Zhang;Kaicheng Yang;Zihan Jiang;Zheng Zhong;Yi Huang;Cong Liu;Jing Hu;Gaogang Xie;Bin Cui

IEEE Transactions on Parallel and Distributed Systems

Year: 2024 | Volume: 35, Issue: 6 | Journal Article |

SketchINT: Empowering INT With TowerSketch for Per-Flow Per-Switch Measurement

Kaicheng Yang;Sheng Long;Qilong Shi;Yuanpeng Li;Zirui Liu;Yuhan Wu;Tong Yang;Zhengyi Jia

IEEE Transactions on Parallel and Distributed Systems

Year: 2023 | Volume: 34, Issue: 11 | Journal Article |

Cited by: Papers (1)

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Network measurement is indispensable to network operations. INT solutions that can provide fine-grained per-switch per-packet information serve as promising solutions for per-flow per-switch measurement. The main shortcoming of INT is its high network overhead incurred by collecting INT information, making INT impractical for production deployment. Sketches that can compactly record per-flow infor...Show More

SketchINT: Empowering INT With TowerSketch for Per-Flow Per-Switch Measurement

Kaicheng Yang;Sheng Long;Qilong Shi;Yuanpeng Li;Zirui Liu;Yuhan Wu;Tong Yang;Zhengyi Jia

IEEE Transactions on Parallel and Distributed Systems

Year: 2023 | Volume: 34, Issue: 11 | Journal Article |

HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams

Zirui Liu;Chaozhe Kong;Kaicheng Yang;Tong Yang;Ruijie Miao;Qizhi Chen;Yikai Zhao;Yaofeng Tu;Bin Cui

2023 IEEE 39th International Conference on Data Engineering (ICDE)

Year: 2023 | Conference Paper |

Cited by: Papers (7)

HTML

Batch is an important pattern in data streams, which refers to a group of identical items that arrive closely. We find that some special batches that arrive periodically are of great value. In this paper, we formally define a new pattern, namely periodic batches. A group of periodic batches refers to several batches of the same item, where these batches arrive periodically. Studying periodic batch...Show More

HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams

Zirui Liu;Chaozhe Kong;Kaicheng Yang;Tong Yang;Ruijie Miao;Qizhi Chen;Yikai Zhao;Yaofeng Tu;Bin Cui

2023 IEEE 39th International Conference on Data Engineering (ICDE)

Year: 2023 | Conference Paper |

BurstBalancer: Do Less, Better Balance for Large-scale Data Center Traffic

Zirui Liu;Yikai Zhao;Zhuochen Fan;Tong Yang;Xiaodong Li;Ruwen Zhang;Kaicheng Yang;Zheng Zhong;Yi Huang;Cong Liu;Jing Hu;Gaogang Xie;Bin Cui

2022 IEEE 30th International Conference on Network Protocols (ICNP)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

HTML

Layer-3 load balancing is a key topic in the networking field. It is well acknowledged that flowlet is the most promising solution because of its good trade-off between load balance and packet reordering. However, we find its one significant limitation: it makes the forwarding paths of flows unpredictable. To address this limitation, this paper presents BurstBalancer, a simple yet efficient load b...Show More

BurstBalancer: Do Less, Better Balance for Large-scale Data Center Traffic

Zirui Liu;Yikai Zhao;Zhuochen Fan;Tong Yang;Xiaodong Li;Ruwen Zhang;Kaicheng Yang;Zheng Zhong;Yi Huang;Cong Liu;Jing Hu;Gaogang Xie;Bin Cui

2022 IEEE 30th International Conference on Network Protocols (ICNP)

Year: 2022 | Conference Paper |

SketchINT: Empowering INT with TowerSketch for Per-flow Per-switch Measurement

Kaicheng Yang;Yuanpeng Li;Zirui Liu;Tong Yang;Yu Zhou;Jintao He;Jing’an Xue;Tong Zhao;Zhengyi Jia;Yongqiang Yang

2021 IEEE 29th International Conference on Network Protocols (ICNP)

Year: 2021 | Conference Paper |

Cited by: Papers (27)

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1 Network measurement is indispensable to network operations. Two most promising measurement solutions are In-band Network Telemetry (INT) solutions and sketching solutions. INT solutions provide fine-grained per-switch per-packet information at the cost of high network overhead. Sketching solutions have low network overhead but fail to achieve both simplicity and accuracy for per-flow measurement...Show More

SketchINT: Empowering INT with TowerSketch for Per-flow Per-switch Measurement

Kaicheng Yang;Yuanpeng Li;Zirui Liu;Tong Yang;Yu Zhou;Jintao He;Jing’an Xue;Tong Zhao;Zhengyi Jia;Yongqiang Yang

2021 IEEE 29th International Conference on Network Protocols (ICNP)

Year: 2021 | Conference Paper |

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