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Publications
- 2021
[j5]Yang Cheng, Dan Li
, Zhiyuan Guo, Binyao Jiang, Jinkun Geng, Wei Bai, Jianping Wu, Yongqiang Xiong:
Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling. IEEE Trans. Parallel Distributed Syst. 32(7): 1802-1814 (2021)- 2020
- [j3]Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia, Jianping Wu:
A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning. IEEE/ACM Trans. Netw. 28(4): 1752-1764 (2020) - [c19]Kaihui Gao, Dan Li, Li Chen, Jinkun Geng, Fei Gui, Yang Cheng, Yue Gu:
Predicting Traffic Demand Matrix by Considering Inter-flow Correlations. INFOCOM Workshops 2020: 165-170 - [c17]Kaihui Gao, Dan Li, Li Chen, Jinkun Geng, Fei Gui, Yang Cheng, Yue Gu:
Incorporating Intra-flow Dependencies and Inter-flow Correlations for Traffic Matrix Prediction. IWQoS 2020: 1-10 - 2019
- [j2]Yang Cheng, Jinkun Geng, Yanshu Wang, Junfeng Li, Dan Li, Jianping Wu:
Bridging machine learning and computer network research: a survey. CCF Trans. Netw. 1(1-4): 1-15 (2019) - [c11]Yang Cheng, Dan Li, Zhiyuan Guo, Binyao Jiang, Jiaxin Lin, Xi Fan, Jinkun Geng, Xinyi Yu, Wei Bai, Lei Qu, Ran Shu, Peng Cheng, Yongqiang Xiong, Jianping Wu:
DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines. ICPP 2019: 88:1-88:11 - [c10]Shuai Wang, Dan Li, Jinkun Geng, Yue Gu, Yang Cheng:
Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors. INFOCOM 2019: 1729-1737 - [c8]Runhua Zhang, Yang Cheng, Jinkun Geng, Shuai Wang, Kaihui Gao, Guowei Shen:
HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing. NPC 2019: 209-221 - 2018
- [c7]Zhetao Li, Fei Gui, Jinkun Geng, Dan Li, Zhibo Wang, Junfeng Li, Yang Cheng, Usama Zafar:
Dante: Enabling FOV-Aware Adaptive FEC Coding for 360-Degree Video Streaming. APNet 2018: 15-21 - [c6]Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu:
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training. NeurIPS 2018: 4243-4253 - [c5]Jinkun Geng, Dan Li, Yang Cheng, Shuai Wang, Junfeng Li:
HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning. NetAI@SIGCOMM 2018: 1-7
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