Detecting rumors on social media is a very critical task with significant implications to the
economy, public health, etc. Previous works generally capture effective features from texts and …

The pollution of fossil fuels uses and low efficiency performance of energy systems are the
main issues which threaten the environment and cause extra cost. Many solutions are …

Several approaches focus on how to automatically capture the latent features from original
diffusion data and predict the future scale of cascades utilizing a black box framework. …

The emergence of high speed long distance networks has promoted the development of
various e-science applications. The traditional TCP protocol is not suitable for high bandwidth-…

Aspect-based sentiment analysis (ABSA) aims to identify the sentiment of one or more
aspects in the text. Existing methods pay attention to the syntactic structure, and significant …

With the development of network technology, the high-speed networks with 1Gbps, 10Gbps
and even higher bandwidth have emerging. In the traditional IP networks, TCP protocol …

Even though conventional methods have contributed a lot to predicting information diffusion
utilizing an end-to-end framework, they omit to consider the reason why each participant is …

Accurate quantum scattering dynamics calculations for the C(3P) + H2(X1Σg+) → CH(2Π) +
H(2S) reaction on the ground X3A′′ potential energy surface were performed in the …

5G ultra-dense network can get more cell splitting gain through high-density base station
deployment, which has higher spectral efficiency and capacity than LTE. However, the increase …

Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect terms, opinion terms, and
the corresponding sentiments from the target sentence, which is a universal subtask in the …