Face anti-spoofing (FAS) is crucial for securing face recognition system...
The knobs of modern database management systems have significant impact ...
Learned cardinality estimation methods have achieved high precision comp...
Nowadays, graph becomes an increasingly popular model in many real
appli...
Non-Autoregressive generation is a sequence generation paradigm, which
r...
Recent years, the database committee has attempted to develop automatic
...
Segmentation of brain magnetic resonance images (MRI) into anatomical re...
Transformer-based models have made tremendous impacts in natural languag...
Transformer model with multi-head attention requires caching intermediat...
Now, the pre-training technique is ubiquitous in natural language proces...
There has been a steady need in the medical community to precisely extra...
Big data management aims to establish data hubs that support data in mul...
In a sponsored search engine, generative retrieval models are recently
p...
In this paper, we propose a novel data augmentation method, referred to ...
We propose a new approach of NoSQL database index selection. For differe...
Reading long documents to answer open-domain questions remains challengi...
News headline generation aims to produce a short sentence to attract rea...
In this paper, we present a new sequence-to-sequence pre-training model
...
In this paper, we propose a novel pretraining-based encoder-decoder
fram...