Counterfactual explanations (CFEs) exemplify how to minimally modify a
f...
With rapid advancements in depth sensors and deep learning, skeleton-bas...
This paper investigates an open research task of reconstructing and
gene...
Person re-identification (re-ID) via 3D skeleton data is an emerging top...
The rapid development of Artificial IntelligenceGenerated Content (AIGC)...
Large Language Models (LLMs) especially ChatGPT have produced impressive...
Recent studies on knowledge graphs (KGs) show that path-based methods
em...
This technical report briefly describes our JDExplore d-team's Vega v2
s...
Cross-lingual named entity recognition (NER) suffers from data scarcity ...
When users move in a physical space (e.g., an urban space), they would h...
As the Metaverse is iteratively being defined, its potential to unleash ...
Code search, which aims at retrieving the most relevant code fragment fo...
In this paper we present a novel multi-attribute face manipulation metho...
The physical-virtual world synchronization to develop the Metaverse will...
Person re-identification (re-ID) via 3D skeletons is an important emergi...
Semantic communication technologies enable wireless edge devices to
comm...
This paper investigates an open research problem of generating text-imag...
In this paper, we investigate an open research task of generating 3D car...
Recommendation models utilizing Graph Convolutional Networks (GCNs) have...
This paper studies the multi-modal recommendation problem, where the ite...
Leveraging StyleGAN's expressivity and its disentangled latent codes,
ex...
Semi-Supervised Learning (SSL) is fundamentally a missing label problem,...
Conversational recommendation system (CRS) is emerging as a user-friendl...
With the increasing demand for intelligent services, the sixth-generatio...
Cloud service providers have launched Machine-Learning-as-a-Service (MLa...
In reinforcement learning (RL), it is challenging to learn directly from...
Recent advances in skeleton-based person re-identification (re-ID) obtai...
In the upcoming 6G era, existing terrestrial networks have evolved towar...
In this paper, we address the networking and communications problems of
...
Skin cancer is one of the most common types of malignancy, affecting a l...
Dubbed "the successor to the mobile Internet", the concept of the Metave...
Metaverse has recently attracted much attention from both academia and
i...
Self-supervised learning establishes a new paradigm of learning
represen...
Unmanned aerial vehicles (UAVs) have gained wide research interests due ...
Psychological curiosity plays a significant role in human intelligence t...
Dubbed "the successor to the mobile Internet", the concept of the Metave...
The metaverse is regarded as a new wave of technological transformation ...
The Metaverse is regarded as the next-generation Internet paradigm that
...
Recently, Metaverse has attracted increasing attention from both industr...
Spurred by the severe restrictions on mobility due to the COVID-19 pande...
Dubbed as the next-generation Internet, the metaverse is a virtual world...
Explainable recommendation systems provide explanations for recommendati...
Much recent progress in task-oriented dialogue (ToD) systems has been dr...
Food is significant to human daily life. In this paper, we are intereste...
Recent advancements of image captioning have featured Visual-Semantic Fu...
Recently, coded distributed computing (CDC), with advantages in intensiv...
Recommender systems have been widely applied in different real-life scen...
Data augmentation for cross-lingual NER requires fine-grained control ov...
Video captioning targets interpreting the complex visual contents as tex...
Federated learning (FL) serves as a data privacy-preserved machine learn...