Many of our critical infrastructure systems and personal computing syste...
With the rapid evolution of large language models (LLMs), there is a gro...
In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...
The vulnerability in the algorithm supply chain of deep learning has imp...
Due to the complex and changing interactions in dynamic scenarios, motio...
Customer reviews usually contain much information about one's online sho...
Although the Conditional Variational AutoEncoder (CVAE) model can genera...
In this paper we investigate the problem of learning evolving concepts o...
Text classification struggles to generalize to unseen classes with very ...
Graph convolution networks, like message passing graph convolution netwo...
Graph neural networks have attracted wide attentions to enable represent...
The fast-growing smart applications on mobile devices leverage pre-train...
Traffic forecasting has emerged as a core component of intelligent
trans...
Transfer learning techniques have been widely used in the reality that i...
Dynamic multi-objective optimization problems (DMOPs) remain a challenge...
The main feature of the Dynamic Multi-objective Optimization Problems (D...
In this paper, we present a fast and strong neural approach for general
...
With the advent of data science, the analysis of network or graph data h...
We present AliMe Assist, an intelligent assistant designed for creating ...