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 001 (ICPADS, 2020)

BBServerless: A Bursty Traffic Benchmark for Serverless. - Yanying Lin; Kejiang Ye; Yongkang Li 003; Peng Lin; Yingfei Tang; Cheng-Zhong Xu 001 (CLOUD, 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 001 (HPCC/DSS/SmartCity/DependSys, 2021)

ESBench: Understanding Deep Learning Inference Overheads for Edge Serverless. - Yanying Lin; Junhong Chen; Yang Wang; Kejiang Ye (HPCC/DSS/SmartCity/DependSys, 2022)

System-level Implications of Serverless: Workload Characterizing and Performance Understanding. - Deshi Deng; Yanying Lin; Kejiang Ye (ISPA/BDCloud/SocialCom/SustainCom, 2022)

FLASH: Low-Latency Serverless Model Inference with Multi-Core Parallelism in Edge. - Yanbo Li; Yanying Lin; Shijie Peng; Yingfei Tang; Tian Xiang; Wei Song 008; Kejiang Ye (ICPADS, 2023)

Serverless Computing: State-of-the-Art, Challenges and Opportunities. - Yongkang Li 003; Yanying Lin; Yang Wang 006; Kejiang Ye; Cheng-Zhong Xu 001 (IEEE Trans. Serv. Comput., 2023)

A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification. - Peng Lin; Kejiang Ye; Yishen Hu; Yanying Lin; Cheng-Zhong Xu 001 (IEEE/ACM Trans. Netw., 2023)

EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless. - Shijie Peng; Yanying Lin; Wenyan Chen 001; Yingfei Tang; Xu Duan; Kejiang Ye (CSCWD, 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 001; Kejiang Ye (ICDCS, 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 001; Kejiang Ye (ICWS, 2024)

IAE-LoRa: Interference-Aware and Energy-Efficient LoRa Optimization Using Reinforcement Learning. - Hongyu Tian; Kaitong Zheng; Yanying Lin; Changhao Yuan; Kejiang Ye (ICIC (15), 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 006 (IEEE Trans. Cloud Comput., 2025)