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Journal Articles
- 2024
[j4]Chenguang Fang, Zijie Chen, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang:
On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB. Proc. VLDB Endow. 17(11): 2974-2986 (2024)- 2023
- [j3]Chenguang Fang
, Shaoxu Song, Haoquan Guan, Xiangdong Huang, Chen Wang, Jianmin Wang:
Grouping Time Series for Efficient Columnar Storage. Proc. ACM Manag. Data 1(1): 23:1-23:26 (2023) - [j2]Yuanhui Qiu, Chenguang Fang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang:
TsQuality: Measuring Time Series Data Quality in Apache IoTDB. Proc. VLDB Endow. 16(12): 3982-3985 (2023) - 2022
- [j1]Chenguang Fang, Shaoxu Song, Yinan Mei:
On Repairing Timestamps for Regular Interval Time Series. Proc. VLDB Endow. 15(9): 1848-1860 (2022)
Conference and Workshop Papers
- 2023
- [c5]Yinan Mei, Shaoxu Song, Chenguang Fang, Ziheng Wei, Jingyun Fang, Jiang Long:
Discovering Editing Rules by Deep Reinforcement Learning. ICDE 2023: 355-367 - [c4]Chenguang Fang, Yinan Mei, Shaoxu Song:
Matrix Factorization with Landmarks for Spatial Data. ICDE 2023: 1887-1899 - 2022
- [c3]Chenguang Fang, Shaoxu Song, Yinan Mei, Ye Yuan, Jianmin Wang:
On Aligning Tuples for Regression. KDD 2022: 336-346 - 2021
- [c2]Yinan Mei, Shaoxu Song, Chenguang Fang, Haifeng Yang, Jingyun Fang, Jiang Long:
Capturing Semantics for Imputation with Pre-trained Language Models. ICDE 2021: 61-72 - 2019
- [c1]Chenguang Fang, Shaoxu Song, Zhiwei Chen, Acan Gui:
Fine-Grained Fuel Consumption Prediction. CIKM 2019: 2783-2791
Informal and Other Publications
- 2020
- [i1]Chenguang Fang, Chen Wang:
Time Series Data Imputation: A Survey on Deep Learning Approaches. CoRR abs/2011.11347 (2020)
Coauthor Index
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