• Publications
  • Influence
DaDianNao: A Machine-Learning Supercomputer
  • Yunji Chen, T. Luo, +8 authors O. Temam
  • Computer Science
  • 47th Annual IEEE/ACM International Symposium on…
  • 13 December 2014
Many companies are deploying services, either for consumers or industry, which are largely based on machine-learning algorithms for sophisticated processing of large amounts of data. TheExpand
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Packet classification using multidimensional cutting
This paper introduces a classification algorithm called phHyperCuts. Like the previously best known algorithm, HiCuts, HyperCuts is based on a decision tree structure. Unlike HiCuts, however, inExpand
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Truss Decomposition in Massive Networks
The k-truss is a type of cohesive subgraphs proposed recently for the study of networks. While the problem of computing most cohesive subgraphs is NP-hard, there exists a polynomial time algorithmExpand
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GraphGAN: Graph Representation Learning with Generative Adversarial Nets
The goal of graph representation learning is to embed each vertex in a graph into a low-dimensional vector space. Existing graph representation learning methods can be classified into two categories:Expand
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A survey of web caching schemes for the Internet
  • J. Wang
  • Computer Science
  • CCRV
  • 5 October 1999
The World Wide Web can be considered as a large distributed information system that provides access to shared data objects. As one of the most popular applications currently running on the Internet,Expand
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Scalable flow-based networking with DIFANE
Ideally, enterprise administrators could specify fine-grain policies that drive how the underlying switches forward, drop, and measure traffic. However, existing techniques for flow-based networkingExpand
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Towards an accurate AS-level traceroute tool
Traceroute is widely used to detect routing problems, characterize end-to-end paths, and discover the Internet topology. Providing an accurate list of the Autonomous Systems (ASes) along theExpand
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Locating internet bottlenecks: algorithms, measurements, and implications
The ability to locate network bottlenecks along end-to-end paths on the Internet is of great interest to both network operators and researchers. For example, knowing where bottleneck links are,Expand
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Topological Recurrent Neural Network for Diffusion Prediction
In this paper, we study the problem of using representation learning to assist information diffusion prediction on graphs. In particular, we aim at estimating the probability of an inactive node toExpand
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Analyzing peer-to-peer traffic across large networks
  • S. Sen, J. Wang
  • Computer Science
  • IEEE/ACM Transactions on Networking
  • 6 November 2002
The use of peer-to-peer (P2P) applications is growing dramatically, particularly for sharing large video/audio files and software. In this paper, we analyze P2P traffic by measuring flow-levelExpand
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