We introduce C-Pack, a package of resources that significantly advance t...
Objective.Visual-Brain Machine Interface(V-BMI) has provide a novel
inte...
This paper introduces a novel targetless method for joint intrinsic and
...
The fairness issue of clinical data modeling, especially on Electronic H...
The advent of large language models marks a revolutionary breakthrough i...
Auto-regressive search engines emerge as a promising paradigm for next-g...
To better support information retrieval tasks such as web search and
ope...
Bundle adjustment (BA) on LiDAR point clouds has been extensively
invest...
Recent studies have shown that Dense Retrieval (DR) techniques can
signi...
Transformer architectures have exhibited promising performance in variou...
In this paper, we introduce a new NLP task – generating short factual
ar...
Graph machine learning (GML) has made great progress in node classificat...
The traditional Simultaneous Localization And Mapping (SLAM) systems rel...
In-memory key-value stores (IMKVSes) serve many online applications beca...
Session-based Recommendation (SBR) is to predict users' next interested ...
Deep semantic matching aims to discriminate the relationship between
doc...
Recent studies on Next-basket Recommendation (NBR) have achieved much
pr...
To better support retrieval applications such as web search and question...
Health disparities, or inequalities between different patient demographi...
Researchers are solving the challenges of spatial-temporal prediction by...
IVFPQ is a popular index paradigm for time-efficient ad-hoc retrieval.
I...
Reconstructing an accurate and consistent large-scale LiDAR point cloud ...
Bundle Adjustment (BA) refers to the problem of simultaneous determinati...
Recent years have witnessed great progress on applying pre-trained langu...
Airdrop is a crucial concept in tokenomics. Startups of decentralized
ap...
Recovering high quality surfaces from noisy point clouds, known as point...
Generalized text representations are the foundation of many natural lang...
Video frame interpolation (VFI) algorithms have improved considerably in...
Deep recommender systems jointly leverage the retrieval and ranking
oper...
Current state-of-the-art document retrieval solutions mainly follow an
i...
Object detection is a difficult downstream task in computer vision. For ...
Pre-trained models have demonstrated superior power on many important ta...
A large-scale recommender system usually consists of recall and ranking
...
For aquaculture resource evaluation and ecological environment monitorin...
Recently, semantic search has been successfully applied to e-commerce pr...
Vector quantization (VQ) based ANN indexes, such as Inverted File System...
The lack of labeled data is a major obstacle to learning high-quality
se...
Embedding based retrieval (EBR) is a fundamental building block in many ...
We focus on Maximum Inner Product Search (MIPS), which is an essential
p...
Ad-hoc search calls for the selection of appropriate answers from a
mass...
News feed recommendation is an important web service. In recent years,
p...
Graph neural networks (GNNs) have been widely applied in the recommendat...
Recently, Graph Neural Networks (GNNs) have proven their effectiveness f...
This paper reviews and proposes concerns in adopting, fielding, and
main...
Linked text representation is critical for many intelligent web applicat...
Recent years, analysis dictionary learning (ADL) and its applications fo...
Sponsored search ads appear next to search results when people look for
...
Transformer encoding networks have been proved to be a powerful tool of
...
Product quantization (PQ) is a popular approach for maximum inner produc...
News recommendation calls for deep insights of news articles' underlying...