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NetAI@SIGCOMM
2018
2020
2018
2020
Keyphrases
Publications
2020
Proceedings of the 2020 Workshop on Network Meets AI & ML, NetAI@SIGCOMM, Virtual Event, USA, August 14, 2020
NetAI@SIGCOMM
(2020)
Mahmoud Bahnasy
,
Fenglin Li
,
Shihan Xiao
,
Xiangle Cheng
DeepBGP: A Machine Learning Approach for BGP Configuration Synthesis.
NetAI@SIGCOMM
(2020)
Tal Shapira
,
Yuval Shavitt
A Deep Learning Approach for IP Hijack Detection Based on ASN Embedding.
NetAI@SIGCOMM
(2020)
Panchapakesan C. Sruthi
,
Sanjay Rao
,
Bruno Ribeiro
Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming.
NetAI@SIGCOMM
(2020)
Yukhe Lavinia
,
Ramakrishnan Durairajan
,
Reza Rejaie
,
Walter Willinger
Challenges in Using ML for Networking Research: How to Label If You Must.
NetAI@SIGCOMM
(2020)
Shihan Xiao
,
Haiyan Mao
,
Bo Wu
,
Wenjie Liu
,
Fenglin Li
Neural Packet Routing.
NetAI@SIGCOMM
(2020)
Guorui Xie
,
Qing Li
,
Yong Jiang
,
Tao Dai
,
Gengbiao Shen
,
Rui Li
,
Richard O. Sinnott
,
Shutao Xia
SAM: Self-Attention based Deep Learning Method for Online Traffic Classification.
NetAI@SIGCOMM
(2020)
Molly Zhang
,
Luca de Alfaro
,
J. J. Garcia-Luna-Aceves
An Adaptive Tree Algorithm to Approach Collision-Free Transmission in Slotted ALOHA.
NetAI@SIGCOMM
(2020)
Zhen Zhang
,
Chaokun Chang
,
Haibin Lin
,
Yida Wang
,
Raman Arora
,
Xin Jin
Is Network the Bottleneck of Distributed Training?
NetAI@SIGCOMM
(2020)
Junjie Zhang
,
Zehua Guo
,
Minghao Ye
,
H. Jonathan Chao
SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering.
NetAI@SIGCOMM
(2020)
2019
Apoorv Shukla
,
Kevin Nico Hudemann
,
Artur Hecker
,
Stefan Schmid
Runtime Verification of P4 Switches with Reinforcement Learning.
NetAI@SIGCOMM
(2019)
Vadim Kirilin
,
Aditya Sundarrajan
,
Sergey Gorinsky
,
Ramesh K. Sitaraman
RL-Cache: Learning-Based Cache Admission for Content Delivery.
NetAI@SIGCOMM
(2019)
Vidit Saxena
,
Joakim Jaldén
,
Joseph E. Gonzalez
,
Mats Bengtsson
,
Hugo M. Tullberg
,
Ion Stoica
Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks.
NetAI@SIGCOMM
(2019)
Proceedings of the 2019 Workshop on Network Meets AI & ML, NetAI@SIGCOMM 2019, Beijing, China, August 23, 2019.
NetAI@SIGCOMM
(2019)
Meng Qin
,
Kai Lei
,
Bo Bai
,
Gong Zhang
Towards a Profiling View for Unsupervised Traffic Classification by Exploring the Statistic Features and Link Patterns.
NetAI@SIGCOMM
(2019)
Sharat Chandra Madanapalli
,
Hassan Habibi Gharakheili
,
Vijay Sivaraman
Assisting Delay and Bandwidth Sensitive Applications in a Self-Driving Network.
NetAI@SIGCOMM
(2019)
Lin Zhu
,
Juan Zhao
,
Yiting Wang
,
Juanlan Feng
,
Chao Deng
,
Hui Li
Smart Prediction of the Complaint Hotspot Problem in Mobile Network.
NetAI@SIGCOMM
(2019)
Hyojoon Kim
,
Arpit Gupta
ONTAS: Flexible and Scalable Online Network Traffic Anonymization System.
NetAI@SIGCOMM
(2019)
Anu Mercian
,
Puneet Sharma
,
Renato Aguiar
,
Chinlin Chen
,
David Pinheiro
UDAAN: Embedding User-Defined Analytics Applications in Network Devices.
NetAI@SIGCOMM
(2019)
Johannes Zerwas
,
Patrick Kalmbach
,
Laurenz Henkel
,
Gábor Rétvári
,
Wolfgang Kellerer
,
Andreas Blenk
,
Stefan Schmid
NetBOA: Self-Driving Network Benchmarking.
NetAI@SIGCOMM
(2019)
Arnaud Dethise
,
Marco Canini
,
Srikanth Kandula
Cracking Open the Black Box: What Observations Can Tell Us About Reinforcement Learning Agents.
NetAI@SIGCOMM
(2019)
Constantin Sander
,
Jan Rüth
,
Oliver Hohlfeld
,
Klaus Wehrle
DeePCCI: Deep Learning-based Passive Congestion Control Identification.
NetAI@SIGCOMM
(2019)
Yafim Kazak
,
Clark W. Barrett
,
Guy Katz
,
Michael Schapira
Verifying Deep-RL-Driven Systems.
NetAI@SIGCOMM
(2019)
Deniz Üstebay
,
Jie Chuai
Hierarchical Bayesian Modelling for Wireless Cellular Networks.
NetAI@SIGCOMM
(2019)
2018
Cristina Cano
,
Gergely Neu
Wireless Optimisation via Convex Bandits: Unlicensed LTE/WiFi Coexistence.
NetAI@SIGCOMM
(2018)
Kun Tu
,
Bruno Ribeiro
,
Ananthram Swami
,
Don Towsley
Tracking Groups in Mobile Network Traces.
NetAI@SIGCOMM
(2018)
Proceedings of the 2018 Workshop on Network Meets AI & ML, NetAI@SIGCOMM 2018, Budapest, Hungary, August 24, 2018
NetAI@SIGCOMM
(2018)
Kai Lei
,
Meng Qin
,
Bo Bai
,
Gong Zhang
Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks.
NetAI@SIGCOMM
(2018)
Shihan Xiao
,
Dongdong He
,
Zhibo Gong
Deep-Q: Traffic-driven QoS Inference using Deep Generative Network.
NetAI@SIGCOMM
(2018)
Arvind Narayanan
,
Saurabh Verma
,
Eman Ramadan
,
Pariya Babaie
,
Zhi-Li Zhang
DeepCache: A Deep Learning Based Framework For Content Caching.
NetAI@SIGCOMM
(2018)
Tong Yang
,
Lun Wang
,
Yulong Shen
,
Muhammad Shahzad
,
Qun Huang
,
Xiaohong Jiang
,
Kun Tan
,
Xiaoming Li
Empowering Sketches with Machine Learning for Network Measurements.
NetAI@SIGCOMM
(2018)
Jinkun Geng
,
Dan Li
,
Yang Cheng
,
Shuai Wang
,
Junfeng Li
HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning.
NetAI@SIGCOMM
(2018)
Yi Zhang
,
Bo Bai
,
Kuai Xu
,
Kai Lei
IFS-RL: An Intelligent Forwarding Strategy Based on Reinforcement Learning in Named-Data Networking.
NetAI@SIGCOMM
(2018)
Shobha Venkataraman
,
Jia Wang
Assessing the Impact of Network Events with User Feedback.
NetAI@SIGCOMM
(2018)
Yiming Kong
,
Hui Zang
,
Xiaoli Ma
Improving TCP Congestion Control with Machine Intelligence.
NetAI@SIGCOMM
(2018)
Saim Salman
,
Christopher Streiffer
,
Huan Chen
,
Theophilus Benson
,
Asim Kadav
DeepConf: Automating Data Center Network Topologies Management with Machine Learning.
NetAI@SIGCOMM
(2018)
Johan Garcia
,
Topi Korhonen
Efficient Distribution-Derived Features for High-Speed Encrypted Flow Classification.
NetAI@SIGCOMM
(2018)