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<italic>Batch</italic> is an important pattern in data streams, which refers to a group of identical items that arrive closely. We find that some special batches that arrive periodically are of great value. In this paper, we formally define a new pattern, ...

A range filter is a data structure to answer range membership queries. Range queries are common in modern applications, and range filters have gained rising attention for improving the performance of range queries by ruling out empty range ...

Transformer-based LLMs are becoming increasingly important in various AI applications. However, apart from the success of LLMs, the explosive demand of long context handling capabilities is a key and in-time problem for both academia and industry. Due to ...

Finding top-k items in data streams is a fundamental problem in data mining. Unbiased estimation is well acknowledged as an elegant and important property for top-k algorithms. In this paper, we propose a novel sketch algorithm, called ...$\mathrm{}$${\mathrm{}}^{\mathrm{}}$

Layer-3 load balancing is a key topic in the networking field. It is well acknowledged that flowlet is the most promising solution because of its good trade-off between load balance and packet reordering. However, we find its one significant limitation: ...

Graph clustering aims to discover cluster structures in graphs. This task becomes more challenging when each node in the graph is associated with an attribute vector (i.e., the attributed graph). Recently, methods built on Graph Auto-Encoder (GAE) ...

The advances in sensors and data processing technologies enrich the types of 3D point clouds acquirement, empowering numerous extensive and novel applications such as 3D reconstruction in various scenarios. However, the hole defects affect the accuracy ...

Graph neural networks (GNNs) and their variants have generalized deep learning methods into non-Euclidean graph data, bringing substantial improvement in many graph mining tasks. In practice, the large graph could be isolated by different ...${}^{\mathrm{}}$${}^{\mathrm{}}$

Searching for a community containing a query node in an online social network enjoys wide applications like recommendation, team organization, etc. When applied to real-life networks, the existing approaches face two major limitations. First, they ...${}^{}$${}^{}$

End-to-end AutoML has attracted intensive interests from both academia and industry which automatically searches for ML pipelines in a space induced by feature engineering, algorithm/model selection, and hyper-parameter tuning. Existing AutoML ...

Second-order random walk is an important technique for graph analysis. Many applications including graph embedding, proximity measure and community detection use it to capture higher-order patterns in the graph, thus improving the model accuracy. ...

The increasing popularity of Apache Spark has attracted many users to put their data into its ecosystem. On the other hand, it has been witnessed in the literature that Spark is slow when it comes to distributed machine learning (ML). One resort ...

Sentence matching, which aims to capture the semantic relationship between two sequences, is a crucial problem in NLP research. It plays a vital role in various natural language tasks such as question answering, natural language inference and ...

The high-frequency transformer (HFT) is an important component of dual active bridge (DAB) converters to achieve galvanic isolation and bidirectional power transmission, which is widely utilized in renewable energy, distribution grids, railway traction ...

Communication bandwidth is a bottleneck in distributed machine learning, and limits the system scalability. The transmission of gradients often dominates the communication in distributed SGD. One promising technique is using the gradient ...

Knowledge graphs and the query language SPARQL have opened up the possibility of retrieving information, acquiring knowledge and building applications over large linked data. However, due to the unfamiliarity with both SPARQL and the datasets, ...

A power electronics transformer (PET) based on dual active bridge (DAB) with input series and output parallel (ISOP) cascaded topology is studied in this paper. Fe-based nanocrystalline alloys transformer cores and Silicon Carbide (SiC) power MOSFETs are ...

Point-of-Interest recommendation is an essential means to help people discover attractive locations, especially when people travel out of town or to unfamiliar regions. While a growing line of research has focused on modeling user geographical ...

This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and ...

With the increasing availability of graph data and widely adopted cloud computing paradigm, graph partitioning has become an efficient pre-processing technique to balance the computing workload and cope with the large scale of input data. Since the cost ...