| 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 | 616 | 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 | 490 | 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 | 312 | 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 | 204 | 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 | 175 | 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 | 74 | 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 | 55 | 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 | 9 | 2022 |
| Ri e: Optimized shu e service for large-scale data analytics H Zhang, B Cho, E Seyfe, A Ching, MJ Freedman EuroSys, 2018 | 2 | 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 University在 cs.princeton.edu 的电子邮件经过验证
