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Feng Yan 0001
Person information
- affiliation: University of Houston, Department of Computer Science, Houston, TX, USA
- affiliation (former): University of Nevada, Department of Computer Science and Engineering, Reno, USA
- affiliation (former, PhD 2016): College of William and Mary, Williamsburg, VA, USA
Other persons with the same name
- Feng Yan — disambiguation page
- Feng Yan 0002 — Nanjing University, School of Electronic Science and Engineering, China
- Feng Yan 0003 — Facebook (and 1 more)
- Feng Yan 0004
— Southeast University, National Mobile Communications Research Laboratory, Nanjing, China (and 2 more)
- Feng Yan 0005 — Southern Illinois University, Carbondale, IL, USA
- Feng Yan 0006 — North China Electric Power University, China
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2020 – today
- 2024
- [c65]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CVPR Workshops 2024: 1685-1694 - [c64]Kai Ma
Noctua: Towards Automated and Practical Fine-grained Consistency Analysis. EuroSys 2024: 704-719 - [c63]Seyed Mahmoud Sajjadi Mohammadabadi, Lei Yang, Feng Yan, Junshan Zhang:
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning. ICDCS 2024: 680-691 - [c62]Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He:
ZeRO++: Extremely Efficient Collective Communication for Large Model Training. ICLR 2024 - [c61]Xiaolong Ma
MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE 2024: 190-200 - [i33]Tunhou Zhang, Feng Yan, Hai Helen Li, Yiran Chen:
Peeking Behind the Curtains of Residual Learning. CoRR abs/2402.08645 (2024) - [i32]Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu:
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. CoRR abs/2404.15668 (2024) - [i31]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CoRR abs/2404.17152 (2024) - [i30]Seyed Mahmoud Sajjadi Mohammadabadi, Lei Yang, Feng Yan, Junshan Zhang:
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning. CoRR abs/2405.00839 (2024) - 2023
- [j15]Shreshth Tuli
AI augmented Edge and Fog computing: Trends and challenges. J. Netw. Comput. Appl. 216: 103648 (2023) - [j14]Jingyuan Zhang
InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. 16(7): 1629-1642 (2023) - [c60]Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan:
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid 2023: 311-321 - [c59]Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan:
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. CLUSTER 2023: 49-59 - [c58]Quan Zhou, Haiquan Wang, Xiaoyan Yu, Cheng Li, Youhui Bai, Feng Yan, Yinlong Xu:
MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism. HPCA 2023: 556-569 - [c57]Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan:
DySR: Adaptive Super-Resolution via Algorithm and System Co-design. ICLR 2023 - [c56]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV 2023: 1298-1307 - [c55]Tunhou Zhang
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW 2023: 1199-1207 - [i29]Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Connor Holmes, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He:
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training. CoRR abs/2306.10209 (2023) - [i28]Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen:
Farthest Greedy Path Sampling for Two-shot Recommender Search. CoRR abs/2310.20705 (2023) - [i27]Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. CoRR abs/2311.00231 (2023) - [i26]Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, Lei Yang:
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach. CoRR abs/2312.05642 (2023) - 2022
- [j13]Ahsan Ali, Riccardo Pinciroli
Optimizing Inference Serving on Serverless Platforms. Proc. VLDB Endow. 15(10): 2071-2084 (2022) - [j12]Amirhessam Yazdi
Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection. Remote. Sens. 14(16): 3979 (2022) - [j11]Xinying Wang
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach. IEEE Trans. Big Data 8(5): 1259-1272 (2022) - [j10]Chengliang Zhang
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud. IEEE Trans. Cloud Comput. 10(3): 1765-1779 (2022) - [c54]Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar
TIFF: Tokenized Incentive for Federated Learning. CLOUD 2022: 407-416 - [c53]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - [c52]Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar
Heterogeneity-Aware Adaptive Federated Learning Scheduling. IEEE Big Data 2022: 911-920 - [c51]Olamide Timothy Tawose, Bin Li, Lei Yang, Feng Yan, Dongfang Zhao:
Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays. IPDPS 2022: 795-805 - [p4]Syed Zawad, Feng Yan, Ali Anwar:
Introduction to Federated Learning Systems. Federated Learning 2022: 195-212 - [p3]Syed Zawad, Feng Yan, Ali Anwar:
Local Training and Scalability of Federated Learning Systems. Federated Learning 2022: 213-233 - [p2]Syed Zawad, Feng Yan, Ali Anwar:
Straggler Management. Federated Learning 2022: 235-258 - [p1]Syed Zawad, Feng Yan, Ali Anwar:
Systems Bias in Federated Learning. Federated Learning 2022: 259-278 - [i25]Ahsan Ali, Syed Zawad, Paarijaat Aditya, Istemi Ekin Akkus, Ruichuan Chen, Feng Yan:
SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training. CoRR abs/2205.01853 (2022) - [i24]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR abs/2207.07187 (2022) - [i23]Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan:
BiFeat: Supercharge GNN Training via Graph Feature Quantization. CoRR abs/2207.14696 (2022) - [i22]Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings:
AI Augmented Edge and Fog Computing: Trends and Challenges. CoRR abs/2208.00761 (2022) - [i21]Jingyuan Zhang
Sion: Elastic Serverless Cloud Storage. CoRR abs/2209.01496 (2022) - [i20]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud. CoRR abs/2211.15759 (2022) - 2021
- [j9]Jiawei Wang, Cheng Li, Kai Ma
AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics. Proc. VLDB Endow. 14(9): 1517-1530 (2021) - [j8]Lixing Yu
STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks. IEEE Trans. Mob. Comput. 20(12): 3453-3466 (2021) - [j7]Riccardo Pinciroli
CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics. IEEE Trans. Netw. Serv. Manag. 18(1): 945-957 (2021) - [c50]Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI 2021: 7090-7098 - [c49]Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI 2021: 10807-10814 - [c48]Chengliang Zhang, Junzhe Xia, Baichen Yang
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning. SoCC 2021: 546-561 - [c47]Abdullah Al-Mamun, Feng Yan, Dongfang Zhao:
SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing. ICDE 2021: 1853-1858 - [c46]Md Kamran Chowdhury Shisher
The Age of Correlated Features in Supervised Learning based Forecasting. INFOCOM Workshops 2021: 1-8 - [c45]Heyang Qin, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He:
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement. NeurIPS 2021: 20531-20544 - [c44]Feng Li, Dali Wang, Feng Yan, Fengguang Song:
X-composer: enabling cross-environments in-situ workflows between HPC and cloud. PASC 2021: 17:1-17:10 - [c43]Abdullah Al-Mamun, Feng Yan, Dongfang Zhao:
BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems. SC 2021: 17 - [c42]Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC 2021: 26-32 - [c41]Yiduo Wang
Lunule: an agile and judicious metadata load balancer for CephFS. SC 2021: 47 - [c40]Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu:
Gradient Compression Supercharged High-Performance Data Parallel DNN Training. SOSP 2021: 359-375 - [i19]Syed Zawad, Ahsan Ali
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. CoRR abs/2102.00655 (2021) - [i18]Md Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun:
The Age of Correlated Features in Supervised Learning based Forecasting. CoRR abs/2103.00092 (2021) - [i17]Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan:
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX. CoRR abs/2105.01281 (2021) - 2020
- [j6]Heyang Qin
Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things. IEEE Internet Things J. 7(7): 6325-6337 (2020) - [c39]Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao:
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. AAAI 2020: 997-1004 - [c38]Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. AAAI 2020: 6829-6836 - [c37]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops 2020: 2899-2908 - [c36]Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. FAST 2020: 267-281 - [c35]Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar
TiFL: A Tier-based Federated Learning System. HPDC 2020: 125-136 - [c34]Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan:
Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training. IPDPS 2020: 419-428 - [c33]Wei Wen, Feng Yan, Yiran Chen, Hai Li:
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. KDD 2020: 833-841 - [c32]Amirhessam Yazdi, Xing Lin, Lei Yang, Feng Yan:
SEFEE: lightweight storage error forecasting in large-scale enterprise storage systems. SC 2020: 64 - [c31]Ahsan Ali, Riccardo Pinciroli
Batch: machine learning inference serving on serverless platforms with adaptive batching. SC 2020: 69 - [c30]Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu:
BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. USENIX ATC 2020: 493-506 - [i16]Xinying Wang, Olamide Timothy Tawose
Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions. CoRR abs/2001.01174 (2020) - [i15]Zheng Chai, Ahsan Ali
TiFL: A Tier-based Federated Learning System. CoRR abs/2001.09249 (2020) - [i14]Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. CoRR abs/2001.10483 (2020) - [i13]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR abs/2004.09031 (2020) - [i12]Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li
NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR abs/2007.04452 (2020) - [i11]Feng Li, Dali Wang, Feng Yan, Fengguang Song:
ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations. CoRR abs/2010.04828 (2020) - [i10]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR abs/2011.14584 (2020)
2010 – 2019
- 2019
- [c29]Xinying Wang, Abdullah Al-Mamun, Feng Yan, Dongfang Zhao:
Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud. CLOUD 2019: 67-82 - [c28]Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li
Towards Decentralized Deep Learning with Differential Privacy. CLOUD 2019: 130-145 - [c27]Connor Holmes, Daniel Mawhirter, Yuxiong He, Feng Yan, Bo Wu:
GRNN: Low-Latency and Scalable RNN Inference on GPUs. EuroSys 2019: 41:1-41:16 - [c26]Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li:
MSNet: Structural Wired Neural Architecture Search for Internet of Things. ICCV Workshops 2019: 2033-2036 - [c25]Ahsan Ali, Riccardo Pinciroli
It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds. Middleware Industry 2019: 36-42 - [c24]Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan:
Swift machine learning model serving scheduling: a region based reinforcement learning approach. SC 2019: 13:1-13:23 - [c23]Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan:
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. USENIX ATC 2019: 1049-1062 - [i9]Xinying Wang, Abdullah Al-Mamun, Feng Yan, Mohammad Sadoghi, Dongfang Zhao:
BlockLite: A Lightweight Emulator for Public Blockchains. CoRR abs/1905.02157 (2019) - [i8]Wei Wen, Feng Yan, Hai Helen Li:
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. CoRR abs/1906.02909 (2019) - [i7]Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen:
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. CoRR abs/1906.08305 (2019) - [i6]Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos:
EPNAS: Efficient Progressive Neural Architecture Search. CoRR abs/1907.04648 (2019) - [i5]Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture. CoRR abs/1911.09251 (2019) - 2018
- [j5]Feng Yan
Efficient Deep Neural Network Serving: Fast and Furious. IEEE Trans. Netw. Serv. Manag. 15(1): 112-126 (2018) - [c22]Xinying Wang, Cong Xu, Ke Wang, Feng Yan, Dongfang Zhao:
Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory. IEEE CLOUD 2018: 33-40 - [c21]Ahsan Ali, Riccardo Pinciroli
CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing. ICAC 2018: 141-150 - [c20]Chengliang Zhang, Huangshi Tian, Wei Wang
Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning. ICDCS 2018: 99-109 - [i4]Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Yiran Chen, Hai Li:
SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning. CoRR abs/1805.07898 (2018) - [i3]Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen:
Differentiable Fine-grained Quantization for Deep Neural Network Compression. CoRR abs/1810.10351 (2018) - [i2]Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen:
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. CoRR abs/1811.11124 (2018) - 2017
- [j4]Feng Yan, Ludmila Cherkasova, Zhuoyao Zhang, Evgenia Smirni:
DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors. IEEE Trans. Cloud Comput. 5(2): 317-330 (2017) - [c19]Feng Yan, Lihua Ren, Daniel J. Dubois
How to Supercharge the Amazon T2: Observations and Suggestions. CLOUD 2017: 278-285 - [c18]Jeff Rasley, Yuxiong He, Feng Yan, Olatunji Ruwase, Rodrigo Fonseca:
HyperDrive: exploring hyperparameters with POP scheduling. Middleware 2017: 1-13 - [c17]Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. NIPS 2017: 1509-1519 - [i1]Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li:
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. CoRR abs/1705.07878 (2017) - 2016
- [j3]Ji Xue, Feng Yan, Alma Riska, Evgenia Smirni:
Scheduling data analytics work with performance guarantees: queuing and machine learning models in synergy. Clust. Comput. 19(2): 849-864 (2016) - [j2]Feng Yan, Xenia Mountrouidou, Alma Riska, Evgenia Smirni:
PREFiguRE: An Analytic Framework for HDD Management. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1(3): 10:1-10:27 (2016) - [c16]Feng Yan, Evgenia Smirni:
Workload interleaving with performance guarantees in data centers. NOMS 2016: 967-972 - [c15]Feng Yan, Yuxiong He, Olatunji Ruwase, Evgenia Smirni:
SERF: efficient scheduling for fast deep neural network serving via judicious parallelism. SC 2016: 300-311 - 2015
- [c14]Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Evgenia Smirni:
PRACTISE: Robust prediction of data center time series. CNSM 2015: 126-134 - [c13]Ji Xue, Feng Yan, Alma Riska, Evgenia Smirni:
Proactive Management of Systems via Hybrid Analytic Techniques. ICCAC 2015: 137-148 - [c12]Feng Yan, Olatunji Ruwase, Yuxiong He, Trishul M. Chilimbi:
Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems. KDD 2015: 1355-1364 - [c11]Thomas Scherer, Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Evgenia Smirni:
PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload. UCC 2015: 402-403 - 2014
- [c10]Feng Yan, Ludmila Cherkasova, Zhuoyao Zhang, Evgenia Smirni:
Optimizing Power and Performance Trade-offs of MapReduce Job Processing with Heterogeneous Multi-core Processors. IEEE CLOUD 2014: 240-247 - [c9]Ji Xue, Feng Yan, Alma Riska, Evgenia Smirni:
Storage Workload Isolation via Tier Warming: How Models Can Help. ICAC 2014: 1-11 - [c8]Feng Yan, Ludmila Cherkasova, Zhuoyao Zhang, Evgenia Smirni:
Heterogeneous cores for MapReduce processing: Opportunity or challenge? NOMS 2014: 1-4 - [c7]Feng Yan, Shannon Hughes, Alma Riska, Evgenia Smirni:
Agile middleware for scheduling: meeting competing performance requirements of diverse tasks. ICPE 2014: 185-196 - 2013
- [c6]Feng Yan, Shannon Hughes, Alma Riska, Evgenia Smirni:
Overcoming Limitations of Off-the-Shelf Priority Schedulers in Dynamic Environments. MASCOTS 2013: 505-514 - 2012
- [c5]Feng Yan, Alma Riska, Evgenia Smirni:
Toward fast eventual consistency with performance guarantees. ICAC 2012: 167-172 - [c4]Feng Yan, Alma Riska, Evgenia Smirni:
Fast Eventual Consistency with Performance Guarantees for Distributed Storage. ICDCS Workshops 2012: 23-28 - [c3]Feng Yan, Xenia Mountrouidou, Evgenia Smirni:
Quantitative Estimation of the Performance Delay with Propagation Effects in Disk Power Savings. HotPower 2012 - [c2]Feng Yan, Alma Riska, Evgenia Smirni:
Busy bee: how to use traffic information for better scheduling of background tasks. ICPE 2012: 145-156 - 2011
- [j1]Feng Yan, Xenia Mountrouidou, Alma Riska, Evgenia Smirni:
Copy rate synchronization with performance guarantees for work consolidation in storage clusters. SIGMETRICS Perform. Evaluation Rev. 39(3): 82-86 (2011) - [c1]Feng Yan, Xenia Mountrouidou, Alma Riska, Evgenia Smirni:
Toward Automating Work Consolidation with Performance Guarantees in Storage Clusters. MASCOTS 2011: 326-335
Coauthor Index
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