Chenguang Fang

According to our database, Chenguang Fang authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider.

Jiahao Wang, Jinbo Han, Xingda Wei, Sijie Shen, Dingyan Zhang, Chenguang Fang, Rong Chen, Wenyuan Yu, Haibo Chen

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

MaLT: A Framework for Managing Large Transactions in OceanBase.

Chenguang Fang, Chen Qian, Qi Yang, Zeyu Wang, Zhenkun Yang, Fanyu Kong, Quanqing Xu, Hui Cao, Fusheng Han, Chuanhui Yang

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2024

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB.

Chenguang Fang, Zijie Chen, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proc. VLDB Endow., July, 2024

2023

TsQuality: Measuring Time Series Data Quality in Apache IoTDB.

Yuanhui Qiu, Chenguang Fang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang

Proc. VLDB Endow., 2023

Grouping Time Series for Efficient Columnar Storage.

Chenguang Fang, Shaoxu Song, Haoquan Guan, Xiangdong Huang, Chen Wang, Jianmin Wang

Proc. ACM Manag. Data, 2023

Discovering Editing Rules by Deep Reinforcement Learning.

Yinan Mei, Shaoxu Song, Chenguang Fang, Ziheng Wei, Jingyun Fang, Jiang Long

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Matrix Factorization with Landmarks for Spatial Data.

Chenguang Fang, Yinan Mei, Shaoxu Song

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

On Repairing Timestamps for Regular Interval Time Series.

Chenguang Fang, Shaoxu Song, Yinan Mei

Proc. VLDB Endow., 2022

On Aligning Tuples for Regression.

Chenguang Fang, Shaoxu Song, Yinan Mei, Ye Yuan, Jianmin Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Capturing Semantics for Imputation with Pre-trained Language Models.

Yinan Mei, Shaoxu Song, Chenguang Fang, Haifeng Yang, Jingyun Fang, Jiang Long

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Time Series Data Imputation: A Survey on Deep Learning Approaches.

Chenguang Fang, Chen Wang

CoRR, 2020

2019

Fine-Grained Fuel Consumption Prediction.

Chenguang Fang, Shaoxu Song, Zhiwei Chen, Acan Gui

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019