98 Result(s)
within
Yao **xi
Data Mining and Knowledge Discovery
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
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Article
Toward fair graph neural networks via real counterfactual samples
Graph neural networks (GNNs) have become pivotal in various critical decision-making scenarios due to their exceptional performance. However, concerns have been raised that GNNs could make biased decisions aga...
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Article
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach
The past decades have witnessed significant progress in scientific research, where new technologies emerge and traditional technologies constantly evolve. As a critical task in the Science of Science (SciSci),...
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Article
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics
Traffic flow forecasting is a critical task for intelligent transportation systems. However, the existed forecasting can only be conducted at certain time steps, because the data are discretely collected at th...
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Article
Dual-feature collaborative relation-attention networks for visual question answering
Region and grid features extracted by object detection networks, which contain abundant image information, are widely used in visual question answering (VQA). The regions focus on object-level features, but th...
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Article
A new interest extraction method based on multi-head attention mechanism for CTR prediction
Click-through rate (CTR) prediction plays a vital role in recommendation systems. Most models pay little attention to the relationship between target items in the user behavior sequence. The attention units us...
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Article
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs
Graph representation learning has attracted lots of attention recently. Existing graph neural networks fed with the complete graph data are not scalable due to limited computation and memory costs. Thus, it re...
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Chapter and Conference Paper
Bi-granularity Adversarial Training for Non-factoid Answer Retrieval
Answer Retrieval is a task of automatically retrieving relevant answers towards a specific question. The recent studies, in this field, have witnessed the vast success of non-factoid QA methods which leverage ...
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Article
Short isometric shapelet transform for binary time series classification
In the research area of time series classification, the ensemble shapelet transform algorithm is one of the state-of-the-art algorithms for classification. However, its high time complexity is an issue to hind...
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Article
A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data
Mining patterns of temporal sequence data is an important problem across many disciplines. Under appropriate preprocessing procedures, a structured temporal sequence can be organized into a probability measure...
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Article
Enhancing supervised bug localization with metadata and stack-trace
Locating relevant source files for a given bug report is an important task in software development and maintenance. To make the locating process easier, information retrieval methods have been widely used to c...
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Article
Data-driven efficient network and surveillance-based immunization
Given a contact network and coarse-grained diagnostic information such as electronic Healthcare Reimbursement Claims (eHRC) data, can we develop efficient intervention policies from data to control an epidemic? I...
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Article
Cross-language document summarization via extraction and ranking of multiple summaries
The task of cross-language document summarization aims to produce a summary in a target language (e.g., Chinese) for a given document set in a different source language (e.g., English). Previous studies focus ...
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Chapter
A Data Services Composition Approach for Continuous Query on Social Media Streams
We witness a rapid increase in the number of social media streams due to development of Web2.0, IoT and Cloud Computing technology. These sources include both traditional relational databases and streaming dat...
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Article
Answering why-not questions on SPARQL queries
SPARQL, the W3C standard for RDF query languages, has gained significant popularity in recent years. An increasing amount of effort is currently being exerted to improve the functionality and usability of SPAR...
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Article
A novel ensemble-based wrapper method for feature selection using extreme learning machine and genetic algorithm
This paper presents a novel wrapper feature selection algorithm for classification problems, namely hybrid genetic algorithm (GA)- and extreme learning machine (ELM)-based feature selection algorithm (HGEFS). ...
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Chapter and Conference Paper
\(R^2\) -Tree: An Efficient Indexing Scheme for Server-Centric Data Center Networks
Index plays a very important role in cloud storage systems, which can support efficient querying tasks for data-intensive applications. However, most of existing indexing schemes for data centers focus on one ...
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Chapter and Conference Paper
Community Structure Based Shortest Path Finding for Social Networks
With the rapid expansion of communication data, research about analyzing social networks has become a hotspot. Finding the shortest path (SP) in social networks can help us to investigate the potential social ...
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Chapter and Conference Paper
QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query
With the popularity of mobile devices and the development of geo-positioning technology, location-based services (LBS) attract much attention and top-k spatial keyword queries become increasingly complex.It is co...
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Article
Recent advances in document summarization
The task of automatic document summarization aims at generating short summaries for originally long documents. A good summary should cover the most important information of the original document or a cluster o...
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Article
False data separation for data security in smart grids
The smart grid is emerging as an efficient paradigm for electric power generation, transmission, and consumption, based on optimized decision making and control that leverage the measurement data of sensors an...
