Minlan Yu
Computer Networks and Communications · 2008–2020
A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 82 citations into it; #5,284 of 9,886 by trust here, #4,594 by citations
- Artificial Intelligence — 23 citations into it
- Electrical and Electronic Engineering — 15 citations into it
Whom Minlan Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cristian Estan
- Jing Lu
- Jonathan S. Turner
- Michael M. Mitzenmacher
- George Varghese
- D. Andersen
- Matei A. Zaharia
Who trusts Minlan Yu overall
- Danda B. Rawat
- Mosharaf Chowdhury
- Long Gong
- Jens Lischka
- Qun Huang
- Srinivas Narayana
- Rashid Amin
- Ines Houidi
- Krzysztof Rusek
- Zaoxing Liu
Papers from Minlan Yu's perspective
Ordered by how strongly the researchers Minlan Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Human-level control through deep reinforcement learning
- A scalable, commodity data center network architecture (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Reinforcement Learning: An Introduction
- Practical Bayesian Optimization of Machine Learning Algorithms
- Congestion control for high bandwidth-delay product networks (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Data center TCP (DCTCP) (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Hash-based IP traceback (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Software Defined Traffic Measurement with OpenSketch (Symposium on Networked Systems Design and Implementation)
- MapReduce: simplified data processing on large clusters
- Bitmap algorithms for counting active flows on high speed links (ACM/SIGCOMM Internet Measurement Conference)
Their papers
- PINT: Probabilistic In-band Network Telemetry (2020) — 303 citations
- HPCC: high precision congestion control (2019) — 798 citations
- CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics (2017) — 523 citations
- FlowRadar: A Better NetFlow for Data Centers (2016) — 430 citations
- Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale (2015) — 151 citations
- Software Defined Traffic Measurement with OpenSketch (2013) — 689 citations
- Rethinking virtual network embedding: substrate support for path splitting and migration (2008) — 1,319 citations