Feng Yan

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 83

Top Topics

Neural Architecture

Top Venues

Publications

Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan
DySR: Adaptive Super-Resolution via Algorithm and System Co-design. ICLR (2023)
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 (2023)
Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid (2023)
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)
Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, Lei Yang
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach. CoRR (2023)
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. J. Netw. Comput. Appl. 216 (2023)
Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen
: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV (2023)
Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. CLUSTER (2023)
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng
InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. 16 (7) (2023)
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 (2022)
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 (2022)
Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
Heterogeneity-Aware Adaptive Federated Learning Scheduling. Big Data (2022)
Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
TIFF: Tokenized Incentive for Federated Learning. CLOUD (2022)
Xinying Wang, Cong Xu, Ke Wang, Feng Yan, Dongfang Zhao
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach. IEEE Trans. Big Data 8 (5) (2022)
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 (2022)
Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud. IEEE Trans. Cloud Comput. 10 (3) (2022)
Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
Optimizing Inference Serving on Serverless Platforms. Proc. VLDB Endow. 15 (10) (2022)
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
Sion: Elastic Serverless Cloud Storage. CoRR (2022)
Lixing Yu, Ming Li, Wenqiang Jin, Yifan Guo, Qianlong Wang, Feng Yan, Pan Li
STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks. IEEE Trans. Mob. Comput. 20 (12) (2021)
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. SoCC (2021)
Jiawei Wang, Cheng Li, Kai Ma, Jingze Huo, Feng Yan, Xinyu Feng, Yinlong Xu
AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics. Proc. VLDB Endow. 14 (9) (2021)
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)
Md Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun
The Age of Correlated Features in Supervised Learning based Forecasting. CoRR (2021)
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)
Md Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun
The Age of Correlated Features in Supervised Learning based Forecasting. INFOCOM Workshops (2021)
Riccardo Pinciroli, Ahsan Ali, Feng Yan, Evgenia Smirni
CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics. IEEE Trans. Netw. Serv. Manag. 18 (1) (2021)
Feng Li, Dali Wang, Feng Yan, Fengguang Song
X-composer: enabling cross-environments in-situ workflows between HPC and cloud. PASC (2021)
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 (2021)
Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems. SC (2021)
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)
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. CoRR (2021)
Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing. ICDE (2021)
Yiduo Wang, Cheng Li, Xinyang Shao, Youxu Chen, Feng Yan, Yinlong Xu
Lunule: an agile and judicious metadata load balancer for CephFS. SC (2021)
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)
Amirhessam Yazdi, Xing Lin, Lei Yang, Feng Yan
SEFEE: lightweight storage error forecasting in large-scale enterprise storage systems. SC (2020)
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)
Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
Batch: machine learning inference serving on serverless platforms with adaptive batching. SC (2020)
Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. AAAI (2020)
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)
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
TiFL: A Tier-based Federated Learning System. HPDC (2020)
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
TiFL: A Tier-based Federated Learning System. CoRR (2020)
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)
Heyang Qin, Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan
Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things. IEEE Internet Things J. 7 (7) (2020)
Wei Wen, Feng Yan, Yiran Chen, Hai Li
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. KDD (2020)
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 (2020)
Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen
NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR (2020)
Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao
Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions. CoRR (2020)
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 (2020)
Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu
BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. USENIX Annual Technical Conference (2020)
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 (2020)
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)
Xinying Wang, Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud. CLOUD (2019)
Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos
EPNAS: Efficient Progressive Neural Architecture Search. CoRR (2019)
Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen
Towards Decentralized Deep Learning with Differential Privacy. CLOUD (2019)
Xinying Wang, Abdullah Al-Mamun, Feng Yan, Mohammad Sadoghi, Dongfang Zhao
BlockLite: A Lightweight Emulator for Public Blockchains. CoRR (2019)
Connor Holmes, Daniel Mawhirter, Yuxiong He, Feng Yan, Bo Wu
GRNN: Low-Latency and Scalable RNN Inference on GPUs. EuroSys (2019)
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 (2019)
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)
Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. USENIX Annual Technical Conference (2019)
Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds. Middleware Industry (2019)
Wei Wen, Feng Yan, Hai Helen Li
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. CoRR (2019)
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)
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 (2019)
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 (2018)
Feng Yan, Yuxiong He, Olatunji Ruwase, Evgenia Smirni
Efficient Deep Neural Network Serving: Fast and Furious. IEEE Trans. Netw. Serv. Manag. 15 (1) (2018)
Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing. ICAC (2018)
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 (2018)
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 (2018)
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)
Chengliang Zhang, Huangshi Tian, Wei Wang, Feng Yan
Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning. ICDCS (2018)
Feng Yan, Lihua Ren, Daniel J. Dubois, Giuliano Casale, Jiawei Wen, Evgenia Smirni
How to Supercharge the Amazon T2: Observations and Suggestions. CLOUD (2017)
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)
Jeff Rasley, Yuxiong He, Feng Yan, Olatunji Ruwase, Rodrigo Fonseca
HyperDrive: exploring hyperparameters with POP scheduling. Middleware (2017)
Feng Yan, Ludmila Cherkasova, Zhuoyao Zhang, Evgenia Smirni
DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors. IEEE Trans. Cloud Comput. 5 (2) (2017)
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 (2017)
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) (2016)
Feng Yan, Evgenia Smirni
Workload interleaving with performance guarantees in data centers. NOMS (2016)
Feng Yan, Yuxiong He, Olatunji Ruwase, Evgenia Smirni
SERF: efficient scheduling for fast deep neural network serving via judicious parallelism. SC (2016)
Feng Yan, Xenia Mountrouidou, Alma Riska, Evgenia Smirni
PREFiguRE: An Analytic Framework for HDD Management. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1 (3) (2016)
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)
Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Evgenia Smirni
PRACTISE: Robust prediction of data center time series. CNSM (2015)
Feng Yan, Olatunji Ruwase, Yuxiong He, Trishul M. Chilimbi
Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems. KDD (2015)
Ji Xue, Feng Yan, Alma Riska, Evgenia Smirni
Proactive Management of Systems via Hybrid Analytic Techniques. ICCAC (2015)
Ji Xue, Feng Yan, Alma Riska, Evgenia Smirni
Storage Workload Isolation via Tier Warming: How Models Can Help. ICAC (2014)
Feng Yan, Ludmila Cherkasova, Zhuoyao Zhang, Evgenia Smirni
Heterogeneous cores for MapReduce processing: Opportunity or challenge? NOMS (2014)
Feng Yan, Shannon Hughes, Alma Riska, Evgenia Smirni
Agile middleware for scheduling: meeting competing performance requirements of diverse tasks. ICPE (2014)
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)
Feng Yan, Shannon Hughes, Alma Riska, Evgenia Smirni
Overcoming Limitations of Off-the-Shelf Priority Schedulers in Dynamic Environments. MASCOTS (2013)
Feng Yan, Alma Riska, Evgenia Smirni
Busy bee: how to use traffic information for better scheduling of background tasks. ICPE (2012)
Feng Yan, Alma Riska, Evgenia Smirni
Fast Eventual Consistency with Performance Guarantees for Distributed Storage. ICDCS Workshops (2012)
Feng Yan, Xenia Mountrouidou, Evgenia Smirni
Quantitative Estimation of the Performance Delay with Propagation Effects in Disk Power Savings. HotPower (2012)
Feng Yan, Alma Riska, Evgenia Smirni
Toward fast eventual consistency with performance guarantees. ICAC (2012)
Feng Yan, Xenia Mountrouidou, Alma Riska, Evgenia Smirni
Toward Automating Work Consolidation with Performance Guarantees in Storage Clusters. MASCOTS (2011)
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) (2011)