Enabling robots to understand language instructions and react accordingl...
Inspired by the superior language abilities of large language models (LL...
Recently, continuous diffusion models (CDM) have been introduced into
no...
Non-autoregressive (NAR) text generation has attracted much attention in...
Angle of arrival (AOA) is widely used to locate a wireless signal emitte...
Affective behaviour analysis has aroused researchers' attention due to i...
Cache plays an important role to maintain high and stable performance (i...
Numerous COVID-19 clinical decision support systems have been developed....
Glioblastoma is profoundly heterogeneous in regional microstructure and
...
For a passive direction of arrival (DoA) measurement system using massiv...
Set similarity search is a problem of central interest to a wide variety...
The vast advances in Machine Learning over the last ten years have been
...
The G-expectation framework is a generalization of the classical
probabi...
Glioblastoma is profoundly heterogeneous in microstructure and vasculatu...
Counterfactual regret minimization (CFR) is a popular method to deal wit...
We introduce RP2K, a new large-scale retail product dataset for fine-gra...
We introduce RP2K, a new large-scale retail product dataset for fine-gra...
The problem of identifying the k-shortest paths (KSPs for short) in a dy...
Recent advances in social and mobile technology have enabled an abundanc...
Social multimedia users are increasingly sharing all kinds of data about...
As the social coding is becoming increasingly popular, understanding the...