Zhenli Sheng

According to our database, Zhenli Sheng authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Lessons Learned from Incorporating Formal Methods in Huawei Cloud Reliability.

Claudia Cauli, Timo Lang, Shuo Chen, Sebti Mouelhi, Xin Jin, Subhajit Bandopadhyay, Xusheng Chen, Yazhi Feng, Haoze Song, Linhua Tang, Zhenli Sheng, Ananth Shrinivas Srinath

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

2025

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods.

Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu, Christian S. Jensen, Bin Yang

Proc. VLDB Endow., May, 2025

SmartMem: Memory Failure Prediction Challenge at WWW 2025.

Min Zhou, Hongyi Xie, Qiao Yu, Jialiang Yu, Zhenli Sheng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

M²-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure.

Hongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CloudChurn: Optimizing Enterprise Customer Churn Prediction in Cloud Services for Huawei Cloud.

Hengyu Ye, Yulong Song, Zhipeng Bian, Xiaofeng Gao, Guihai Chen, Xin Jin, Zhenli Sheng

Proceedings of the Database Systems for Advanced Applications, 2025

Predicting Enterprise Users' Consuming Potential for Cloud Services.

Yunlong Cheng, Tianyao Shi, Xiuyuan Wei, Yulong Song, Xiaofeng Gao, Zhipeng Bian, Zhenli Sheng

Proceedings of the Database Systems for Advanced Applications, 2025

2024

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting.

Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen

VLDB J., September, 2024

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods.

Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang

Proc. VLDB Endow., May, 2024

AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing.

Bowen Pang, Sicong Liu, Hongli Wang, Bin Guo, Yuzhan Wang, Hao Wang, Zhenli Sheng, Zhongyi Wang, Zhiwen Yu

ACM Trans. Sens. Networks, January, 2024

SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning.

Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training.

Haonan Chen, Zhicheng Dou, Xuetong Hao, Yunhao Tao, Shiren Song, Zhenli Sheng

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Investigating Memory Failure Prediction Across CPU Architectures.

Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023

Auto-TSA: An Automatic Time Series Analysis System Based on Meta-learning.

Tianyu Mu, Zhenli Sheng, Lekui Zhou, Hongzhi Wang

Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

2021

Network-wide Traffic Signal Optimization under Connected Vehicles Environment.

Liang Hu, Lanjun Wang, Zirui Zhou, Zhenli Sheng, Yong Zhang

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021