| NetCache: Balancing Key-Value Stores with Fast In-Network Caching X Jin, X Li, H Zhang, R Soulé, J Lee, N Foster, C Kim, I Stoica Proceedings of the 26th Symposium on Operating Systems Principles (SOSP …, 2017 | 702 | 2017 |
| Live Video Analytics at Scale with Approximation and Delay-Tolerance H Zhang, G Ananthanarayanan, P Bodik, M Philipose, P Bahl, ... 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017 | 536 | 2017 |
| NetChain: Scale-Free Sub-RTT Coordination X Jin, X Li, H Zhang, N Foster, J Lee, R Soul, C Kim, I Stoica 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2018 | 343 | 2018 |
| Ravana: Controller Fault-Tolerance in Software-Defined Networking N Katta, H Zhang, MJ Freedman, J Rexford Proceedings of the 1st ACM SIGCOMM Symposium on SDN Research (SOSR), 4, 2015 | 209 | 2015 |
| SLAQ: Quality-Driven Scheduling for Distributed Machine Learning H Zhang, L Stafman, A Or, MJ Freedman Proceedings of the 2017 Symposium on Cloud Computing (SoCC), 390-404, 2017 | 197 | 2017 |
| Riffle: Optimized Shuffle Service for Large-Scale Data Analytics H Zhang, B Cho, E Seyfe, A Ching, MJ Freedman European Conference on Computer Systems (EuroSys), 2018 | 79 | 2018 |
| Resource Elasticity in Distributed Deep Learning A Or, H Zhang, MJ Freedman Proceedings of the 3rd Conference on Machine Learning Systems (MLSys 2020 …, 2020 | 61 | 2020 |
| Automating the Implementation for Web-Based Information Systems from State Machine Modeling Language H Zhang Peking University, 2013 | 18* | 2013 |
| VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware A Or, H Zhang, MN Freedman Proceedings of Machine Learning and Systems 4, 126-140, 2022 | 12 | 2022 |
| Ri e: Optimized shu e service for large-scale data analytics H Zhang, B Cho, E Seyfe, A Ching, MJ Freedman EuroSys, 2018 | 3 | 2018 |
| Jeongkeun. Lee. Netcache: Balancing key-value stores with fast in-network caching. P4 workshop 2017 J Xin, X Li, Z Haoyu, R Soule | 2 | |
| VirtualFlow: Decoupling Deep Learning Model Execution from Underlying Hardware A Or, H Zhang, MJ Freedman arXiv preprint arXiv:2009.09523, 2020 | 1 | 2020 |
| Resource Management for Advanced Data Analytics at Large Scale H Zhang Princeton University, 2018 | 1 | 2018 |
| NetChain: Scale-Free Sub-RTT Coordination (Extended Version) X Jin, X Li, H Zhang, N Foster, J Lee, R Soule, C Kim, I Stoica arXiv preprint arXiv:1802.08236, 2018 | 1 | 2018 |
| Live video analytics at scale P Bahl, P Bodik, M Philipose, G Ananthanarayanan, H Zhang US Patent 10,223,604, 2019 | | 2019 |
| SLAQ: Quality-Driven Scheduling for Distributed Machine Learning (Extended Abstract) H Zhang, L Stafman, A Or, MJ Freedman 1st SysML Conference, 2018 | | 2018 |
Michael J. FreedmanRobert E. Kahn Professor of Computer Science, Princeton UniversityEmail confirmado em cs.princeton.edu
Xin JinPeking UniversityEmail confirmado em pku.edu.cn
Xiaozhou LiPrinceton UniversityEmail confirmado em cs.princeton.edu
Ganesh AnanthanarayananSenior Principal Researcher at MicrosoftEmail confirmado em microsoft.com
Peter BodikPrincipal Researcher at Microsoft ResearchEmail confirmado em microsoft.comJennifer RexfordProfessor of Computer Science, Princeton UniversityEmail confirmado em princeton.edu
Naga KattaPhD Student, Princeton UniversityEmail confirmado em cs.princeton.edu
Brian ChoComputer Science, University of Illinois at Urbana-ChampaignEmail confirmado em illinois.edu