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ORCIDYanying Lin
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2020 – today
- 2024
[c9]Shijie Peng
, Yanying Lin, Wenyan Chen, Yingfei Tang, Xu Duan, Kejiang Ye:
EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless. CSCWD 2024: 1376-1381- [c8]Yanying Lin, Yanbo Li, Shijie Peng, Yingfei Tang, Shutian Luo, Haiying Shen, Cheng-Zhong Xu, Kejiang Ye:
QUART: Latency-Aware FaaS System for Pipelining Large Model Inference. ICDCS 2024: 1-12 - [c7]Yanying Lin, Shijie Peng, Shuaipeng Wu, Yanbo Li, Chengzhi Lu, Chengzhong Xu, Kejiang Ye:
Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint. ICWS 2024: 1306-1313 - 2023
- [j2]Peng Lin, Kejiang Ye, Yishen Hu, Yanying Lin, Cheng-Zhong Xu:
A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification. IEEE/ACM Trans. Netw. 31(3): 1369-1384 (2023) - [j1]Yongkang Li, Yanying Lin, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
Serverless Computing: State-of-the-Art, Challenges and Opportunities. IEEE Trans. Serv. Comput. 16(2): 1522-1539 (2023) - [c6]Yanbo Li, Yanying Lin, Shijie Peng, Yingfei Tang, Tian Xiang, Wei Song, Kejiang Ye:
FLASH: Low-Latency Serverless Model Inference with Multi-Core Parallelism in Edge. ICPADS 2023: 2640-2646 - 2022
- [c5]Yanying Lin, Junhong Chen, Yang Wang, Kejiang Ye:
ESBench: Understanding Deep Learning Inference Overheads for Edge Serverless. HPCC/DSS/SmartCity/DependSys 2022: 267-274 - [c4]Deshi Deng, Yanying Lin, Kejiang Ye:
System-level Implications of Serverless: Workload Characterizing and Performance Understanding. ISPA/BDCloud/SocialCom/SustainCom 2022: 331-338 - 2021
- [c3]Yanying Lin, Kejiang Ye, Yongkang Li, Peng Lin, Yingfei Tang, Cheng-Zhong Xu:
BBServerless: A Bursty Traffic Benchmark for Serverless. CLOUD 2021: 45-60 - [c2]Peng Lin, Yishen Hu, Yanying Lin, Kejiang Ye, Cheng-Zhong Xu:
PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification. HPCC/DSS/SmartCity/DependSys 2021: 267-274 - 2020
- [c1]Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu:
LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network. ICPADS 2020: 72-80
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