Fine-Grained Fuel Consumption Prediction. - Chenguang Fang; Shaoxu Song; Zhiwei Chen; Acan Gui (CIKM, 2019)

Time Series Data Imputation: A Survey on Deep Learning Approaches. - Chenguang Fang; Chen Wang (CoRR, 2020)

Capturing Semantics for Imputation with Pre-trained Language Models. - Yinan Mei; Shaoxu Song; Chenguang Fang; Haifeng Yang; Jingyun Fang; Jiang Long (ICDE, 2021)

On Aligning Tuples for Regression. - Chenguang Fang; Shaoxu Song; Yinan Mei; Ye Yuan; Jianmin Wang 001 (KDD, 2022)

On Repairing Timestamps for Regular Interval Time Series. - Chenguang Fang; Shaoxu Song; Yinan Mei (Proc. VLDB Endow., 2022)

Matrix Factorization with Landmarks for Spatial Data. - Chenguang Fang; Yinan Mei; Shaoxu Song (ICDE, 2023)

Discovering Editing Rules by Deep Reinforcement Learning. - Yinan Mei; Shaoxu Song; Chenguang Fang; Ziheng Wei; Jingyun Fang; Jiang Long (ICDE, 2023)

Grouping Time Series for Efficient Columnar Storage. - Chenguang Fang; Shaoxu Song; Haoquan Guan; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (Proc. ACM Manag. Data, 2023)

TsQuality: Measuring Time Series Data Quality in Apache IoTDB. - Yuanhui Qiu; Chenguang Fang; Shaoxu Song; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (Proc. VLDB Endow., 2023)

On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB. - Chenguang Fang; Zijie Chen; Shaoxu Song; Xiangdong Huang 001; Chen Wang 018; Jianmin Wang 001 (Proc. VLDB Endow., 2024)

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 (SIGMOD Conference Companion, 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 001; Wenyuan Yu; Haibo Chen 001 (USENIX ATC, 2025)