Li Chen
Orcid: 0000-0002-2300-6996Affiliations:
- University of Louisiana at Lafayette, School of Computing and Informatics, Department of Computer Science, Lafayette, LA, USA
- University of Toronto, Department of Electrical and Computer Engineering, Toronto, ON, Canada (PhD 2018)
According to our database1,
Li Chen
authored at least 41 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
ACM Trans. Sens. Networks, January, 2024
2023
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud.
IEEE Trans. Parallel Distributed Syst., March, 2023
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Parallel Distributed Syst., 2022
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Computers, 2022
2021
A Case for Pricing Bandwidth: Sharing Datacenter Networks With Cost Dominant Fairness.
IEEE Trans. Parallel Distributed Syst., 2021
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
Rationing bandwidth resources for mitigating network resource contention in distributed DNN training clusters.
CCF Trans. High Perform. Comput., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Prophet: Speeding up Distributed DNN Training with Predictable Communication Scheduling.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
E-LAS: Design and Analysis of Completion-Time Agnostic Scheduling for Distributed Deep Learning Cluster.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
Proceedings of the Computer Security - ESORICS 2020, 2020
2019
Promenade: Proportionally Fair Multipath Rate Control in Datacenter Networks with Random Network Coding.
IEEE Trans. Parallel Distributed Syst., 2019
IEEE Trans. Netw. Sci. Eng., 2019
Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training.
Proceedings of the 48th International Conference on Parallel Processing, 2019
Stage Delay Scheduling: Speeding up DAG-style Data Analytics Jobs with Resource Interleaving.
Proceedings of the 48th International Conference on Parallel Processing, 2019
2018
IEEE Trans. Parallel Distributed Syst., 2018
Proceedings of the 2018 USENIX Annual Technical Conference, 2018
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Siphon: a high-performance substrate for inter-datacenter transfers in wide-area data analytics.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017
2016
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016
Barrier-Aware Max-Min Fair Bandwidth Sharing and Path Selection in Datacenter Networks.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016
Surviving Failures with Performance-Centric Bandwidth Allocation in Private Datacenters.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016
2014
J. Comput. Sci. Technol., 2014
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
2012
Lifetime or energy: Consolidating servers with reliability control in virtualized cloud datacenters.
Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012