Chen Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Function Approximation

Resource Management

Content Delivery

Video Streaming

Top Venues

Publications

Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Lluís Berral
Towards Pareto Optimal Throughput in Small Language Model Serving. CoRR (2024)
Sunyanan Choochotkaew, Chen Wang, Huamin Chen, Tatsuhiro Chiba, Marcelo Amaral, Eun Kyung Lee, Tamar Eilam
A Robust Power Model Training Framework for Cloud Native Runtime Energy Metric Exporter. CoRR (2024)
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction. CoRR (2024)
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravi K. Iyer
FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms. MLSys (2024)
Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar
$\widetilde{O}(T^{-1})$ {C}onvergence to (coarse) correlated equilibria in full-information general-sum markov games. L4DC (2024)
Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar
) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games. CoRR (2024)
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
Power-aware Deep Learning Model Serving with μ-Serve. USENIX ATC (2024)
Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Lluis Berral
Towards Pareto Optimal Throughput in Small Language Model Serving. EuroMLSys@EuroSys (2024)
Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity. NeurIPS (2023)
Jiawei Tyler Gu, Xudong Sun, Wentao Zhang, Yuxuan Jiang, Chen Wang, Mandana Vaziri, Owolabi Legunsen, Tianyin Xu
Acto: Automatic End-to-End Testing for Operation Correctness of Cloud System Management. SOSP (2023)
Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems. USENIX Annual Technical Conference (2023)
Harold J. Ship, Evgeny Shindin, Chen Wang, Diana Arroyo, Asser N. Tantawi
Optimizing simultaneous autoscaling for serverless cloud computing. CoRR (2023)
Jungeun Shin, Diana Arroyo, Asser N. Tantawi, Chen Wang, Alaa Youssef, Rakesh Nagi
Cloud-native workflow scheduling using a hybrid priority rule and dynamic task parallelism. SoCC (2022)
Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation. NeurIPS (2022)
Josep Lluis Berral, David Buchaca Prats, Claudia Herron, Chen Wang, Alaa Youssef
Theta-Scan: Leveraging Behavior-Driven Forecasting for Vertical Auto-Scaling in Container Cloud. CLOUD (2021)
Josep Lluís Berral, Chen Wang, Alaa Youssef
AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management. HotCloud (2020)
Zinan Lin, Alankar Jain, Chen Wang, Giulia C. Fanti, Vyas Sekar
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions. Internet Measurement Conference (2020)
David Buchaca Prats, Josep Lluís Berral, Chen Wang, Alaa Youssef
Proactive Container Auto-scaling for Cloud Native Machine Learning Services. CLOUD (2020)
K. R. Jayaram, Vinod Muthusamy, Parijat Dube, Vatche Ishakian, Chen Wang, Benjamin Herta, Scott Boag, Diana Arroyo, Asser N. Tantawi, Archit Verma, Falk Pollok, Rania Khalaf
FfDL : A Flexible Multi-tenant Deep Learning Platform. CoRR (2019)
Zinan Lin, Alankar Jain, Chen Wang, Giulia C. Fanti, Vyas Sekar
Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger. CoRR (2019)
Chen Wang, Hyong Kim
Touchdown on the Cloud: The impact of the Super Bowl on Cloud. CoRR (2019)
Parijat Dube, Tonghoon Suk, Chen Wang
AI Gauge: Runtime Estimation for Deep Learning in the Cloud. SBAC-PAD (2019)
Chen Wang, Hyong Kim
Touchdown on the Cloud: The Impact of the Super Bowl on Cloud. BigDataService (2019)
K. R. Jayaram, Vinod Muthusamy, Parijat Dube, Vatche Ishakian, Chen Wang, Benjamin Herta, Scott Boag, Diana Arroyo, Asser N. Tantawi, Archit Verma, Falk Pollok, Rania Khalaf
FfDL: A Flexible Multi-tenant Deep Learning Platform. Middleware (2019)
Chen Wang, Andal Jayaseelan, Hyong Kim
Comparing Cloud Content Delivery Networks for Adaptive Video Streaming. IEEE CLOUD (2018)
Mehmet Fatih Aktas, Chen Wang, Alaa Youssef, Malgorzata Gosia Steinder
Resource Profile Advisor for Containers in Cognitive Platform. SoCC (2018)
Chen Wang, Hyong Kim, Ricardo Morla
Identifying Persistent and Recurrent QoE Anomalies for DASH Streaming in the Cloud. CloudCom (2017)
Chen Wang, Hyong S. Kim, Ricardo Morla
QWatch: Detecting and Locating QoE Anomaly for VoD in the Cloud. CloudCom (2016)
Chen Wang, Hyong S. Kim, Ricardo Morla
QoE Driven Server Selection for VoD in the Cloud. CLOUD (2015)
Chen Wang, Hyong S. Kim, Ricardo Morla
Users Know Better: A QoE Based Adaptive Control System for VoD in the Cloud. GLOBECOM (2015)