Chengzhi Lu

According to our database, Chengzhi Lu authored at least 17 papers between 2017 and 2026.

Collaborative distances:

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

2026

FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving.

Wenyan Chen, Chengzhi Lu, Yanying Lin, Dmitrii Ustiugov

CoRR, April, 2026

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters.

Yanying Lin, Shijie Peng, Chengzhi Lu, ChengZhong Xu, Kejiang Ye

Proceedings of the 21st European Conference on Computer Systems, 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

TokenScale: Timely and Accurate Autoscaling for Disaggregated LLM Serving with Token Velocity.

Ruiqi Lai, Hongrui Liu, Chengzhi Lu, Zonghao Liu, Siyu Cao, Siyang Shao, Yixin Zhang, Luo Mai, Dmitrii Ustiugov

CoRR, December, 2025

Serving LLM in Distributed GPU Cluster With Fine-Grain Pipeline Constraints.

Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Kejiang Ye, Cheng-Zhong Xu

IEEE Trans. Serv. Comput., 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

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

Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint.

Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Chengzhong Xu, Kejiang Ye

Proceedings of the IEEE International Conference on Web Services, 2024

2023

Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms.

Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

An In-Depth Study of Microservice Call Graph and Runtime Performance.

Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Cheng-Zhong Xu

IEEE Trans. Parallel Distributed Syst., 2022

2021

Neuroprotective Effect of Monosialotetrahexosylganglioside (GM1) on Patients with Parkinson's Disease Anesthetized by Ketamine under Denoising Algorithm-Based Ultrasound Image Diagnosis.

Weili Wang, Mingwei Huang, Tingting Lin, Chengzhi Lu, Jiandong Liu

Sci. Program., 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

Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis.

Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu

Proceedings of the SoCC '21: ACM Symposium on Cloud 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

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

2018

Modeling Application Performance in Docker Containers Using Machine Learning Techniques.

Kejiang Ye, Yanmin Kou, Chengzhi Lu, Yang Wang, Cheng-Zhong Xu

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

2017

Imbalance in the cloud: An analysis on Alibaba cluster trace.

Chengzhi Lu, Kejiang Ye, Guoyao Xu, Cheng-Zhong Xu, Tongxin Bai

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017