research
∙
09/19/2023
A comparative study of Grid and Natural sentences effects on Normal-to-Lombard conversion
Grid sentence is commonly used for studying the Lombard effect and Norma...
share
research
∙
09/14/2023
Mandarin Lombard Flavor Classification
The Lombard effect refers to individuals' unconscious modulation of voca...
research
∙
09/13/2023
EMALG: An Enhanced Mandarin Lombard Grid Corpus with Meaningful Sentences
This study investigates the Lombard effect, where individuals adapt thei...
research
∙
09/11/2023
Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?
In this paper, we introduce two local graph features for missing link pr...
research
∙
07/04/2023
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks
Heterogeneous graph neural networks (GNNs) have been successful in handl...
research
∙
06/20/2023
ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
Recently, ChatGPT, a representative large language model (LLM), has gain...
research
∙
05/30/2023
Graph Neural Processes for Spatio-Temporal Extrapolation
We study the task of spatio-temporal extrapolation that generates data a...
research
∙
02/15/2023
Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach
Cross-silo federated learning (FL) is a typical FL that enables organiza...
research
∙
12/22/2022
Self-supervised Hypergraph Representation Learning for Sociological Analysis
Modern sociology has profoundly uncovered many convincing social criteri...
research
∙
11/21/2022
Intelligent Computing: The Latest Advances, Challenges and Future
Computing is a critical driving force in the development of human civili...
research
∙
10/08/2022
LW-ISP: A Lightweight Model with ISP and Deep Learning
The deep learning (DL)-based methods of low-level tasks have many advant...
research
∙
09/05/2022
Jamming Modulation: An Active Anti-Jamming Scheme
Providing quality communications under adversarial electronic attacks, e...
research
∙
08/10/2022
Path-aware Siamese Graph Neural Network for Link Prediction
In this paper, we propose an algorithm of Path-aware Siamese Graph neura...
research
∙
10/24/2021
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing
The operation and management of intelligent transportation systems (ITS)...
research
∙
06/15/2021
Thompson Sampling for Unimodal Bandits
In this paper, we propose a Thompson Sampling algorithm for unimodal ban...
research
∙
01/06/2021
Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
research
∙
10/21/2020
Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
research
∙
09/18/2020
Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation
In this paper, we propose and analyze the sparsity-aware sign subband ad...
research
∙
02/11/2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators
Weight pruning is a powerful technique to realize model compression. We ...
research
∙
11/24/2019
