P. Li

Artificial Intelligence · with Wang · 2010–2020

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom P. Li trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Moses Charikar (in Artificial Intelligence)
  2. Andrei Z. Broder (in Computer Networks and Communications)
  3. Ping Li (in Information Retrieval & Search)

Papers from P. Li's perspective

Ordered by how strongly the researchers P. Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An improved data stream summary: the count-min sketch and its applications
  2. Finding frequent items in data streams
  3. Similarity estimation techniques from rounding algorithms
  4. More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
  5. Scaling Distributed Machine Learning with the Parameter Server
  6. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
  7. GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server
  8. Product-Based Neural Networks for User Response Prediction
  9. One Permutation Hashing
  10. Exploiting Bounded Staleness to Speed Up Big Data Analytics

Their papers