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- posterDecember 2024
Poster: Jakiro: Spitting RDMA and TCP over Virtual Private Cloud
- Yirui Liu,
- Lidong Jiang,
- Deguo Li,
- Daxiang Kang,
- Zhaoyang Wei,
- Yuqi Chai,
- Bin Niu,
- Ke Lin,
- Xiaoning Ding,
- Jianwen Pi,
- Hao Luo
CoNEXT '24: Proceedings of the 20th International Conference on emerging Networking EXperiments and TechnologiesPages 31–32https://doi.org/10.1145/3680121.3699889A Virtual Private Cloud (VPC) that enables both RDMA and TCP provides advantages for both tenants and cloud providers. In this study, we introduce Jakiro, an innovative framework of vNIC design that supports both RDMA and TCP over a unified VPC. Jakiro ...
- research-articleJanuary 2025
Deep functional factor models: forecasting high-dimensional functional time series via bayesian nonparametric factorization
ICML'24: Proceedings of the 41st International Conference on Machine LearningArticle No.: 1282, Pages 31709–31727This paper introduces the Deep Functional Factor Model (DF2M), a Bayesian nonparametric model designed for analysis of high-dimensional functional time series. DF2M is built upon the Indian Buffet Process and the multi-task Gaussian Process, ...
- research-articleOctober 2023
X-Plane: A High-Throughput Large-Capacity 5G UPF
- Yunzhuo Liu,
- Hao Nie,
- Hui Cai,
- Bo Jiang,
- Pengyu Zhang,
- Yirui Liu,
- Yidong Yao,
- Xionglie Wei,
- Biao Lyu,
- Chenren Xu,
- Shunmin Zhu,
- Xinbing Wang
ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and NetworkingArticle No.: 53, Pages 1–14https://doi.org/10.1145/3570361.3613267Cloud providers, such as AWS and Azure, have started providing 5G services on their cloud infrastructure. In this paper, we present the design and implementation of X-Plane, a system that uses commercial programmable ASICs and DRAM servers on today's ...
- research-articleSeptember 2023
CellFusion: Multipath Vehicle-to-Cloud Video Streaming with Network Coding in the Wild
- Yunzhe Ni,
- Zhilong Zheng,
- Xianshang Lin,
- Fengyu Gao,
- Xuan Zeng,
- Yirui Liu,
- Tao Xu,
- Hua Wang,
- Zhidong Zhang,
- Senlang Du,
- Guang Yang,
- Yuanchao Su,
- Dennis Cai,
- Hongqiang Harry Liu,
- Chenren Xu,
- Ennan Zhai,
- Yunfei Ma
ACM SIGCOMM '23: Proceedings of the ACM SIGCOMM 2023 ConferencePages 668–683https://doi.org/10.1145/3603269.3604832This paper presents CellFusion, a system designed for high-quality, real-time video streaming from vehicles to the cloud. It leverages an innovative blend of multipath QUIC transport and network coding. Surpassing the limitations of individual cellular ...
- doctoral_thesisJanuary 2022
Entropy Region Decomposition Techniques to Reduce the Complexity of Network Coding Capacity Region Proofs
AbstractThe fundamental limits of a wide variety of coded information systems are dictated by network coding capacity regions. Indeed, coded caching systems, efficient transmission on broadcast cellular downlinks with index coding, and the design of ...
- research-articleJuly 2021
Linear Complexity Entropy Regions
2021 IEEE International Symposium on Information Theory (ISIT)Pages 1642–1647https://doi.org/10.1109/ISIT45174.2021.9518030A great many problems in network information theory, both fundamental and applied, involve determining a minimal set of inequalities linking the Shannon entropies of a certain collection of subsets of random variables. In principle this minimal set of ...
- research-articleJuly 2021
Exponentially Simpler Network Rate Regions
2021 IEEE International Symposium on Information Theory (ISIT)Pages 2548–2553https://doi.org/10.1109/ISIT45174.2021.9517734Determining the rate region of a network is of great importance in the research area of network coding. Lots of attempts have been made and significant progress has been achieved over the last decade on this topic. Although these researches provide us ...
- research-articleJuly 2019
On the Complexity of Computing the Shannon Outer Bound to a Network Coding Capacity Region
2019 IEEE International Symposium on Information Theory (ISIT)Pages 206–210https://doi.org/10.1109/ISIT.2019.8849369A new method is presented, consisting of exclusively simple linear algebra computations, for computing the linear programming Shannon outer bound to the network coding capacity region of a directed hypergraph network. This linear algebraic formulation ...
- research-articleJune 2018
Multiple Representations and Sparse Representation for Color Image Classification
ICCPR '18: Proceedings of the 2018 International Conference on Computing and Pattern RecognitionPages 78–85https://doi.org/10.1145/3232829.3232847Image representation is an important branch of machine vision. Appropriate representation is the premise and foundation to obtain good performance of image classification. Color characteristic is one of the important and readily available ...
