18 citations · 23 across the 5 of their papers we have counts for
5 papers
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning
Keshi Ge, Yongquan Fu, Zhiquan Lai +2
Distributed stochastic gradient descent (SGD) approach has been widely used in large-scale deep learning, and the gradient collective method is vital to ensure the training scalabi…
CGNN: Traffic Classification with Graph Neural Network
Bo Pang, Yongquan Fu, Siyuan Ren +3
Traffic classification associates packet streams with known application labels, which is vital for network security and network management. With the rise of NAT, port dynamics, and…
Nyström Approximation with Nonnegative Matrix Factorization
Yongquan Fu
Motivated by the needs of estimating the proximity clustering with partial distance measurements from vantage points or landmarks for remote networked systems, we show that the pro…
Locality-Sensitive Sketching for Resilient Network Flow Monitoring
Yongquan Fu, Dongsheng Li, Siqi Shen +2
Network monitoring is vital in modern clouds and data center networks for traffic engineering, network diagnosis, network intrusion detection, which need diverse traffic statistics…
HybridNN: Supporting Network Location Service on Generalized Delay Metrics
Yongquan Fu, Yijie Wang, Ernst Biersack
Distributed Nearest Neighbor Search (DNNS) locates service nodes that have shortest interactive delay towards requesting hosts. DNNS provides an important service for large-scale l…