Integrated visible light positioning and communication (VLPC), capable o...
Semantic communications, as one of the potential key technologies of the...
Dynamic optimization of mean and variance in Markov decision processes (...
Existing research on human-AI collaborative decision-making focuses main...
In AI-assisted decision-making, it is critical for human decision-makers...
Task-oriented communications, mostly using learning-based joint
source-c...
graph neural networks (GNNs) are the dominant paradigm for modeling and
...
In this paper, we investigate the optimal probabilistic constellation sh...
External knowledge,e.g., entities and entity descriptions, can help huma...
We propose covert beamforming design frameworks for integrated radar sen...
Keeping risk under control is often more crucial than maximizing expecte...
In this letter, we investigate a robust beamforming problem for
localiza...
In this paper, we study sentiment analysis task where the outcomes are m...
Though some recent works focus on injecting sentiment knowledge into
pre...
This article presents the precise asymptotical distribution of two types...
The bound of the information transmission rate of direct current biased
...
Critical transmission ranges (or radii) in wireless ad-hoc and sensor
ne...
This paper studies the risk-averse mean-variance optimization in
infinit...
News recommendation is an effective information dissemination solution i...
In this paper, we investigate the performance of a practical aggregated
...
In this paper, we consider covert beamforming design for intelligent
ref...
In this paper, we study the spectral efficiency (SE) and energy efficien...
This paper addresses robust beamforming design for rate splitting multip...
In this paper, we consider a common unicast beamforming network where Al...
This paper studies the channel capacity of intensity-modulation
direct-d...
Chatbots systems, despite their popularity in today's HCI and CSCW resea...
Evaluation metrics play a vital role in the growth of an area as it defi...
Pre-training has proven to be effective in unsupervised machine translat...
The wide spread of fake news in social networks is posing threats to soc...
We present a scheme for sequential decision making with a risk-sensitive...
Variance plays a crucial role in risk-sensitive reinforcement learning, ...
In this paper, we investigate deep learning (DL)-enabled signal demodula...
Without real bilingual corpus available, unsupervised Neural Machine
Tra...
Over the past a few years, research and development has made significant...
Neural Machine Translation (NMT) performs poor on the low-resource langu...
Although the general deterministic reward function in MDPs takes three
a...
Various mobile devices have been used to collect, store and transmit
tre...
Finding a list of k teams of experts, referred to as top-k team formatio...
With the proliferation of mobile devices and location-based services,
co...
This paper studies Value-at-Risk (VaR) problems in short- and long-horiz...