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07/31/2023
AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder
To easily obtain the knowledge about autism spectrum disorder and help i...
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10/31/2022
Random Walk-based Community Key-members Search over Large Graphs
Given a graph G, a query node q, and an integer k, community search (CS)...
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10/27/2022
HRTF Field: Unifying Measured HRTF Magnitude Representation with Neural Fields
Head-related transfer functions (HRTFs) are a set of functions describin...
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07/28/2022
Predicting Global Head-Related Transfer Functions From Scanned Head Geometry Using Deep Learning and Compact Representations
In the growing field of virtual auditory display, personalized head-rela...
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03/25/2022
Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints
As research interest surges, vector similarity search is applied in mult...
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03/08/2022
Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling
A knowledge graph (KG) manages large-scale and real-world facts as a big...
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09/30/2021
COVID-19 Fake News Detection Using Bidirectional Encoder Representations from Transformers Based Models
Nowadays, the development of social media allows people to access the la...
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01/29/2021
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search
Approximate nearest neighbor search (ANNS) constitutes an important oper...
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10/15/2019
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs
Recently, graph query is widely adopted for querying knowledge graphs. G...
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06/03/2018
Patch-Based Image Hallucination for Super Resolution with Detail Reconstruction from Similar Sample Images
Image hallucination and super-resolution have been studied for decades, ...
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11/21/2017
Fully-Convolutional Measurement Network for Compressive Sensing Image Reconstruction
Recently, deep learning methods have made a significant improvement in c...
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09/23/2017
Adaptive Measurement Network for CS Image Reconstruction
Conventional compressive sensing (CS) reconstruction is very slow for it...
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06/13/2016
