4,917 Result(s)
within
Conference Paper
**zu Wang
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
InDNI: An Infection Time Independent Method for Diffusion Network Inference
Diffusion network inference aims to reveal the message propagation process among users and has attracted many research interests due to the fundamental role it plays in some real applications, such as rumor-sp...
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Chapter and Conference Paper
Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning
With the increasing amount of data, data privacy has drawn great concern in machine learning among the public. Federated Learning, which is a new kind of distributed learning framework, enables data providers ...
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Chapter and Conference Paper
Input Enhanced Logarithmic Factorization Network for CTR Prediction
Factorization-based methods, which can automatically model second-order or higher-order cross features, have been the benchmark models for click-through rate (CTR) prediction. In general, they enumerate all cr...
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Chapter and Conference Paper
S \(^2\) QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph
Knowledge Graph Question Answering (KGQA) is a challenging task that aims to obtain the entities from the given Knowledge Graph (KG) to answer the user’s natural language questions. Most existing studies are f...
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Chapter and Conference Paper
Rethinking Adjacent Dependency in Session-Based Recommendations
Session-based recommendations (SBRs) recommend the next item for an anonymous user by modeling the dependencies between items in a session. Benefiting from the superiority of graph neural networks (GNN) in learni...
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Chapter and Conference Paper
An AI-Based Feedback Visualisation System for Speech Training
This paper proposes providing automatic feedback to support public speech training. For the first time, speech feedback is provided on a visual dashboard including not only the transcription and pitch informat...
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Chapter and Conference Paper
INForex: Interactive News Digest for Forex Investors
As foreign exchange (Forex) markets reflect real-world events, locally or globally, financial news is often leveraged to predict Forex trends. In this demonstration, we propose INForex, an interactive web-base...
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Chapter and Conference Paper
A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification
Wind plays a crucial part during adverse events, such as storms and wildfires, and is a widely leveraged source of renewable energy. Predicting long-term daily local wind speed is critical for effective monito...
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Chapter and Conference Paper
The Differential Gene Detecting Method for Identifying Leukemia Patients
Leukemia is one of the cancers threatening human being for many years. There has not been any general method for identifying acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) accurately. This...
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Chapter and Conference Paper
Anti-Clone: A Lightweight Approach for RFID Cloning Attacks Detection
Millions of radio frequency identification (RFID) tags are pervasively used all around the globe to identify a wide variety of objects inexpensively. However, the tag cannot use energy-hungry cryptography due ...
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Chapter and Conference Paper
ARIN-561: An Educational Game for Learning Artificial Intelligence for High-School Students
Artificial Intelligence (AI) is increasingly vital to our future generations, who will join a workforce that utilizes AI-driven tools and contributes to the advancement of AI. Today’s students will need exposu...
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Chapter and Conference Paper
Surface Defect Detection and Classification Based on Fusing Multiple Computer Vision Techniques
Computer vision techniques are widely used for automated quality control in production line, which can identify defects in from collected images. Due to unclear features, diverse product shapes, and small defe...
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Chapter and Conference Paper
Intelligent Medical Interactive Educational System for Cardiovascular Disease
Cardiovascular disease is the number one killer of global deaths, accounting for 30% of total deaths every year. To arouse the public’s attention to cardiovascular health, it is bound to provide sufficient edu...
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Chapter and Conference Paper
Improve Chinese Spelling Check by Reevaluation
Chinese Spelling Check (CSC) aims to detect and correct the spelling errors in Chinese. Most Chinese spelling errors are misused semantically, phonetically or graphically similar characters. Previous state-of-...
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Chapter and Conference Paper
An Oriented Attention Model for Infectious Disease Cases Prediction
Effective infectious disease prediction supports the success of infection prevention and control. Several attention-based predictive models can be applied to undertake the prediction task. However, using a sin...
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Chapter and Conference Paper
Towards an Expectation-Oriented Model of Public Service Quality: A Preliminary Study of NYC 311
The 311 system has been deployed in many U.S. cities to manage non-emergency civic issues such as noise and illegal parking. To assess the performance of 311-mediated public service provision, researchers deve...
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Chapter and Conference Paper
Seed-Driven Document Ranking for Systematic Reviews: A Reproducibility Study
Screening or assessing studies is critical to the quality and outcomes of a systematic review. Typically, a Boolean query retrieves the set of studies to screen. As the set of studies retrieved is unordered, s...
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Chapter and Conference Paper
Two-Stage Traffic Clustering Based on HNSW
Traffic flow clustering is a common task to analyze urban traffic using GPS data of urban vehicles. Existing density-based traffic flow clustering methods generally have two important problems, that is to not ...
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Chapter and Conference Paper
Polarizing Opinion Dynamics with Confirmation Bias
Social media and online networks have enabled discussions between users at a planetary scale on controversial topics. However, instead of seeing users converging to a consensus, they tend to partition into gro...
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Chapter and Conference Paper
Effective Rating Prediction Using an Attention-Based User Review Sentiment Model
We propose a new sentiment information-based attention mechanism that helps to identify user reviews that are more likely to enhance the accuracy of a rating prediction model. We hypothesis that highly polaris...
