Feng Yan
Orcid: 0000-0001-9840-7754Affiliations:
- University of Houston, Department of Computer Science, Houston, TX, USA
- University of Nevada, Department of Computer Science and Engineering, Reno, USA (former)
- College of William and Mary, Williamsburg, VA, USA (former, PhD 2016)
According to our database1,
Feng Yan
authored at least 95 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on cse.unr.edu
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on orcid.org
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on cs.uh.edu
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Bibliography
2023
J. Netw. Comput. Appl., July, 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments.
Proceedings of the IEEE International Conference on Cluster Computing, 2023
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
2022
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud.
IEEE Trans. Cloud Comput., 2022
IEEE Trans. Big Data, 2022
Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection.
Remote. Sens., 2022
SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training.
CoRR, 2022
Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022
Proceedings of the Federated Learning, 2022
Proceedings of the Federated Learning, 2022
2021
CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics.
IEEE Trans. Netw. Serv. Manag., 2021
STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks.
IEEE Trans. Mob. Comput., 2021
AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics.
Proc. VLDB Endow., 2021
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX.
CoRR, 2021
Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021
SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things.
IEEE Internet Things J., 2020
CoRR, 2020
ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations.
CoRR, 2020
Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions.
CoRR, 2020
Proceedings of the 2020 USENIX Annual Technical Conference, 2020
SEFEE: lightweight storage error forecasting in large-scale enterprise storage systems.
Proceedings of the International Conference for High Performance Computing, 2020
Batch: machine learning inference serving on serverless platforms with adaptive batching.
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache.
Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures.
CoRR, 2019
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019
Swift machine learning model serving scheduling: a region based reinforcement learning approach.
Proceedings of the International Conference for High Performance Computing, 2019
It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds.
Proceedings of the 20th International Middleware Conference Industrial Track, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019
Proceedings of the Cloud Computing - CLOUD 2019, 2019
Proceedings of the Cloud Computing - CLOUD 2019, 2019
2018
IEEE Trans. Netw. Serv. Manag., 2018
LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning.
CoRR, 2018
CoRR, 2018
SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning.
CoRR, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018
Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018
2017
IEEE Trans. Cloud Comput., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11, 2017
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017
2016
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016
Scheduling data analytics work with performance guarantees: queuing and machine learning models in synergy.
Clust. Comput., 2016
SERF: efficient scheduling for fast deep neural network serving via judicious parallelism.
Proceedings of the International Conference for High Performance Computing, 2016
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016
2015
PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload.
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015
Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 International Conference on Cloud and Autonomic Computing, 2015
Proceedings of the 11th International Conference on Network and Service Management, 2015
2014
Agile middleware for scheduling: meeting competing performance requirements of diverse tasks.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014
Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014
Proceedings of the 11th International Conference on Autonomic Computing, 2014
Optimizing Power and Performance Trade-offs of MapReduce Job Processing with Heterogeneous Multi-core Processors.
Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014
2013
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013
2012
Proceedings of the Third Joint WOSP/SIPEW International Conference on Performance Engineering, 2012
Quantitative Estimation of the Performance Delay with Propagation Effects in Disk Power Savings.
Proceedings of the 2012 Workshop on Power-Aware Computing Systems, HotPower'12, 2012
Proceedings of the 32nd International Conference on Distributed Computing Systems Workshops (ICDCS 2012 Workshops), 2012
Proceedings of the 9th International Conference on Autonomic Computing, 2012
2011
Copy rate synchronization with performance guarantees for work consolidation in storage clusters.
SIGMETRICS Perform. Evaluation Rev., 2011
Toward Automating Work Consolidation with Performance Guarantees in Storage Clusters.
Proceedings of the MASCOTS 2011, 2011