Hao Wang
Postdoctoral Associate
As the most critical components in a sentence, subject, predicate and ob...
Residential occupancy detection has become an enabling technology in tod...
Effective energy management of electric vehicle (EV) charging stations i...
Binary Code Embedding (BCE) has important applications in various revers...
Federated Learning (FL) is popular for its privacy-preserving and
collab...
Role-playing chatbots built on large language models have drawn interest...
Recently, Zero-Shot Node Classification (ZNC) has been an emerging and
c...
Predicting stock prices presents a challenging research problem due to t...
Federated learning (FL) has been widely deployed to enable machine learn...
Sequential user modeling, a critical task in personalized recommender
sy...
Human culture research has witnessed an opportunity of revolution thanks...
In this paper, we strive to answer the question "how to collaboratively ...
In real-world traffic, there are various uncertainties and complexities ...
Diffusion models have achieved state-of-the-art performance in generativ...
Deploying deep learning models in cloud clusters provides efficient and
...
Earth system forecasting has traditionally relied on complex physical mo...
Generative Engineering Design approaches driven by Deep Generative Model...
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
Deep learning has transformed computational imaging, but traditional
pix...
Mitosis detection is one of the fundamental tasks in computational patho...
In modern day industry, clustering algorithms are daily routines of algo...
Recommender system is adored in the internet industry as one of the most...
Recently, personalized federated learning (pFL) has attracted increasing...
Automated medical image segmentation inherently involves a certain degre...
We explore two differentiable deep declarative layers, namely least squa...
With more than 32
buildings, there is an urgent need to revisit traditio...
CSCW studies have increasingly explored AI's role in enhancing communica...
Accurate Urban SpatioTemporal Prediction (USTP) is of great importance t...
In this paper, we consider the interference rejection combining (IRC)
re...
Domain adaptation aims to mitigate distribution shifts among different
d...
Recommender system is a widely adopted technology in a diversified class...
Existing regression models tend to fall short in both accuracy and
uncer...
Interpretable time series prediction is crucial for safety-critical area...
Self-supervised pre-trained models extract general-purpose representatio...
Large Language Models (LLMs) have emerged as powerful tools in the field...
Missing values in real-world data pose a significant and unique challeng...
The Transformer has emerged as a versatile and effective architecture wi...
Accurate estimation of multiple quality variables is critical for buildi...
Existing private synthetic data generation algorithms are agnostic to
do...
Recent studies in natural language processing (NLP) have focused on mode...
The vanilla image completion approaches are sensitive to the large missi...
Self-distillation relies on its own information to improve the generaliz...
An efficient team is essential for the company to successfully complete ...
Wind energy has been rapidly gaining popularity as a means for combating...
This paper investigates an open research task of reconstructing and
gene...
Online rating platform represents the new trend of online cultural and
c...
Recommender system is the most successful commercial technology in the p...
In this paper, we investigate an open research task of generating
contro...
Recently, the robustness of deep learning models has received widespread...
Supervised deep learning methods have achieved considerable success in
m...