Yanying Lin

According to our database, Yanying Lin authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

Workload-Adapted Resource Allocation for LLM Distributed Serving in Serverless Clusters.

Yanying Lin, Shijie Peng, Yanbo Li, Shutian Luo, Haiying Shen, Kejiang Ye, Chengzhong Xu

IEEE Trans. Parallel Distributed Syst., June, 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

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

Understanding Serverless Inference in Mobile-Edge Networks: A Benchmark Approach.

Junhong Chen, Yanying Lin, Shijie Peng, Shuaipeng Wu, Kenneth B. Kent, Hao Dai, Kejiang Ye, Yang Wang

IEEE Trans. Cloud Comput., 2025

IAE-LoRa: Interference-Aware and Energy-Efficient LoRa Optimization Using Reinforcement Learning.

Hongyu Tian, Kaitong Zheng, Yanying Lin, Changhao Yuan, Kejiang Ye

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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

Understanding Diffusion Model Serving in Production: A Top-Down Analysis of Workload, Scheduling, and Resource Efficiency.

Yanying Lin, Shuaipeng Wu, Shutian Luo, Hong Xu, Haiying Shen, Chong Ma, Min Shen, Le Chen, Chengzhong Xu, Lin Qu, Kejiang Ye

Proceedings of the 2025 ACM Symposium on Cloud Computing, 2025

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

QUART: Latency-Aware FaaS System for Pipelining Large Model Inference.

Yanying Lin, Yanbo Li, Shijie Peng, Yingfei Tang, Shutian Luo, Haiying Shen, Cheng-Zhong Xu, Kejiang Ye

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 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

A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification.

Peng Lin, Kejiang Ye, Yishen Hu, Yanying Lin, Cheng-Zhong Xu

IEEE/ACM Trans. Netw., June, 2023

Serverless Computing: State-of-the-Art, Challenges and Opportunities.

Yongkang Li, Yanying Lin, Yang Wang, Kejiang Ye, Cheng-Zhong Xu

IEEE Trans. Serv. Comput., 2023

FLASH: Low-Latency Serverless Model Inference with Multi-Core Parallelism in Edge.

Yanbo Li, Yanying Lin, Shijie Peng, Yingfei Tang, Tian Xiang, Wei Song, Kejiang Ye

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

System-level Implications of Serverless: Workload Characterizing and Performance Understanding.

Deshi Deng, Yanying Lin, Kejiang Ye

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

ESBench: Understanding Deep Learning Inference Overheads for Edge Serverless.

Yanying Lin, Junhong Chen, Yang Wang, Kejiang Ye

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification.

Peng Lin, Yishen Hu, Yanying Lin, Kejiang Ye, Cheng-Zhong Xu

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

BBServerless: A Bursty Traffic Benchmark for Serverless.

Yanying Lin, Kejiang Ye, Yongkang Li, Peng Lin, Yingfei Tang, Cheng-Zhong Xu

Proceedings of the Cloud Computing - CLOUD 2021, 2021

2020

LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network.

Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020