1 citations · 2 across the 6 of their papers we have counts for
6 papers
Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs
Yafeng Tang, Xiaoou Ding, Jianzhuo Du +5
Tabular data generation has become increasingly essential for enabling robust machine learning applications, which require large-scale, high-quality data. Existing solutions levera…
TS-Cabinet: Hierarchical Storage for Cloud-Edge-End Time-series Database
Shuangshuang Cui, Hongzhi Wang, Xianglong Liu +2
Hierarchical data storage is crucial for cloud-edge-end time-series database. Efficient hierarchical storage will directly reduce the storage space of local databases at each side…
Misplaced Subsequences Repairing with Application to Multivariate Industrial Time Series Data
Xiaoou Ding, Hongzhi Wang, Jiaxuan Su +1
Both the volume and the collection velocity of time series generated by monitoring sensors are increasing in the Internet of Things (IoT). Data management and analysis requires hig…
Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data
Xiaoou Ding, Hongzhi Wang, Chen Wang +2
The demand for high-performance anomaly detection techniques of IoT data becomes urgent, especially in industry field. The anomaly identification and explanation in time series dat…
On the Fairness of Quality-based Data Markets
Dan Zhang, Hongzhi Wang, Xiaoou Ding +3
For data pricing, data quality is a factor that must be considered. To keep the fairness of data market from the aspect of data quality, we proposed a fair data market that conside…
Improve3C: Data Cleaning on Consistency and Completeness with Currency
Xiaoou Ding, Hongzhi Wang, Jiaxuan Su +2
Data quality plays a key role in big data management today. With the explosive growth of data from a variety of sources, the quality of data is faced with multiple problems. Motiva…