Glioma is a prevalent brain tumor that poses a significant health risk t...
Video saliency prediction and detection are thriving research domains th...
The recommendation ecosystem involves interactions between recommender
s...
Due to the flexible representation of arbitrary-shaped scene text and si...
Sequential recommendation demonstrates the capability to recommend items...
Self-supervised sound source localization is usually challenged by the
m...
Recommender systems are important for providing personalized services to...
Contrastive learning on graphs aims at extracting distinguishable high-l...
Semi-supervised semantic segmentation (SSS) is an important task that
ut...
The research field of Information Retrieval (IR) has evolved significant...
Stochastic Gumbel graph networks are proposed to learn high-dimensional ...
DeepFake based digital facial forgery is threatening public media securi...
We present Visual Knowledge oriented Programming platform (VisKoP), a
kn...
This report introduces the 1st place winning solution for the Autonomous...
We present WebGLM, a web-enhanced question-answering system based on the...
Currently, the reduction in the parameter scale of large-scale pre-train...
The large scale of pre-trained language models poses a challenge for the...
With the massive amount of digital data generated everyday, transactions...
Multi-signature aggregates signatures from multiple users on the same me...
In dynamic interaction graphs, user-item interactions usually follow
het...
Incorporating the audio stream enables Video Saliency Prediction (VSP) t...
Due to the emergence of AI systems that interact with the physical
envir...
Since reconfigurable intelligent surface (RIS) is considered to be a pas...
We present efficient algorithms for solving systems of linear equations ...
The collaborative filtering (CF) problem with only user-item interaction...
The StyleGAN family succeed in high-fidelity image generation and allow ...
Graph neural networks (GNNs) have been widely used in graph-structured d...
Many Click-Through Rate (CTR) prediction works focused on designing adva...
Given vectors 𝕧_1, …, 𝕧_n ∈ℝ^d with
Euclidean norm at most 1 and 𝕩_0 ∈ [...
Recent works on implicit neural representations have made significant
st...
Reinforcement Learning (RL)-based control system has received considerab...
Point cloud segmentation with scene-level annotations is a promising but...
Point cloud downsampling is a crucial pre-processing operation to downsa...
In the era of deep learning, word embeddings are essential when dealing ...
As the hardware industry moves towards using specialized heterogeneous
m...
An iteratively reweighted least squares (IRLS) method is proposed for
es...
Digital signature is a major component of transactions on Blockchain
pla...
Dynamic interaction graphs have been widely adopted to model the evoluti...
Hand, the bearer of human productivity and intelligence, is receiving mu...
Currently, many face forgery detection methods aggregate spatial and
fre...
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...
We devise neuro-dynamic state estimation (Neuro-DSE), a learning-based
d...
Paper recommendation with user-generated keyword is to suggest papers th...
Current AI systems are designed to solve close-world problems with the
a...
Inductive link prediction for knowledge graph aims at predicting missing...
Due to the dynamics and uncertainty of the dynamic multi-objective
optim...
Due to the increasing demand in films and games, synthesizing 3D avatar
...
Reinforcement learning (RL) is gaining attention by more and more resear...
We have developed an AI-aided multiple time stepping (AI-MTS) algorithm ...
For a passive direction of arrival (DOA) measurement system using massiv...