Wenyan Chen

According to our database, Wenyan Chen authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

High Throughput and Low Latency LLM Serving via Adaptive KV Caching.

Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, ChengZhong Xu

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

Multiplexing Dynamic Deep Learning Workloads with SLO-awareness in GPU Clusters.

Wenyan Chen, Chengzhi Lu, Huanle Xu, Kejiang Ye, Chengzhong Xu

Proceedings of the Twentieth European Conference on Computer Systems, 2025

Rock: Serving Multimodal Models in Cloud with Heterogeneous-Aware Resource Orchestration for Thousands of LoRA Adapters.

Shuaipeng Wu, Yanying Lin, Shijie Peng, Wenyan Chen, Chong Ma, Min Shen, Le Chen, Chengzhong Xu, Kejiang Ye

Proceedings of the IEEE International Conference on Cluster Computing, 2025

FedDance: Efficient Participant Selection for Federated Learning in Highly Dynamic Environments.

Yuanhang Chen, Xiaosong Chen, Wenyan Chen, Huanle Xu

Proceedings of the 2025 ACM Symposium on Cloud Computing, 2025

2024

SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing.

Chengzhi Lu, Huanle Xu, Yudan Li, Wenyan Chen, Kejiang Ye, Chengzhong Xu

Proceedings of the International Conference for High Performance Computing, 2024

EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless.

Shijie Peng, Yanying Lin, Wenyan Chen, Yingfei Tang, Xu Duan, Kejiang Ye

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.

Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu

Dataset, June, 2023

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.

Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu

Proceedings of the International Conference for High Performance Computing, 2023

2021

RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning.

Wenyan Chen, Chengzhi Lu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters.

Wen-Yan Chen, Kejiang Ye, Chengzhi Lu, Dongdai Zhou, Cheng-Zhong Xu

J. Comput. Sci. Technol., 2020

HySync: Hybrid Federated Learning with Effective Synchronization.

Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, Chengzhong Xu

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

ADGS: Anomaly Detection and Localization Based on Graph Similarity in Container-Based Clouds.

Chengzhi Lu, Kejiang Ye, Wenyan Chen, Cheng-Zhong Xu

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Co-Locating Online Workload and Offline Workload in the Cloud: An Interference Analysis.

Wenyan Chen, Kejiang Ye, Cheng-Zhong Xu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

How Does the Workload Look Like in Production Cloud? Analysis and Clustering of Workloads on Alibaba Cluster Trace.

Wenyan Chen, Kejiang Ye, Yang Wang, Guoyao Xu, Cheng-Zhong Xu

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018