We study L_2-approximation problems APP_d in the worst case
setting in t...
This paper introduces the approaches we have used to participate in the ...
Legal case retrieval, which aims to find relevant cases for a query case...
This paper considers estimating functional-coefficient models in panel
q...
This paper describes the approach of the THUIR team at the WSDM Cup 2023...
Digging out the latent information from large-scale incomplete matrices ...
High-Dimensional and Incomplete matrices, which usually contain a large
...
We explore time-varying networks for high-dimensional locally stationary...
Extracting the latent information in high-dimensional and incomplete mat...
High-dimensional and sparse (HiDS) matrices are frequently adopted to
de...
The core of information retrieval (IR) is to identify relevant informati...
Self-attention mechanism recently achieves impressive advancement in Nat...
Since many real world networks are evolving over time, such as social
ne...
MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...
Node embeddings have been attracting increasing attention during the pas...
Automated tongue image segmentation in tongue images is a challenging ta...
Sequence-level learning objective has been widely used in captioning tas...
Improving the captioning performance on low-resource languages by levera...
We investigate average case tractability of approximation of additive ra...
Multiview canonical correlation analysis (MCCA) seeks latent low-dimensi...
In this letter, a physical unclonable function (PUF)-advanced encryption...
Principal component analysis (PCA) is widely used for feature extraction...
Canonical correlation analysis (CCA) is a powerful technique for discove...
Principal component analysis (PCA) has well-documented merits for data
e...
The topic diversity of open-domain videos leads to various vocabularies ...
Generating video descriptions in natural language (a.k.a. video captioni...
In this paper, we utilize structured learning to simultaneously address ...