Mingming Sun

Artificial Intelligence · with Ding · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Computer Networks and Communications — 9 citations into it
• Information Systems — 7 citations into it
• Algorithms & Complexity — 5 citations into it

Whom Mingming Sun trusts overall

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

1. Moses Charikar

Papers from Mingming Sun's perspective

Ordered by how strongly the researchers Mingming Sun 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. Similarity estimation techniques from rounding algorithms
3. Finding frequent items in data streams
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. Deep Neural Networks for YouTube Recommendations
10. One Permutation Hashing

Their papers

• Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems (2020) — 161 citations