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08/19/2023
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
Large language models (LLMs) have demonstrated exceptional performance i...
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06/16/2023
Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI
Brain network analysis is a useful approach to studying human brain diso...
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04/10/2023
Self-training with dual uncertainty for semi-supervised medical image segmentation
In the field of semi-supervised medical image segmentation, the shortage...
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03/31/2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network
The information diffusion performance of GCN and its variant models is l...
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08/02/2022
Unified Normalization for Accelerating and Stabilizing Transformers
Solid results from Transformers have made them prevailing architectures ...
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07/05/2022
A Safe Semi-supervised Graph Convolution Network
In the semi-supervised learning field, Graph Convolution Network (GCN), ...
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06/09/2022
Model Degradation Hinders Deep Graph Neural Networks
Graph Neural Networks (GNNs) have achieved great success in various grap...
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06/04/2022
Instance-wise Prompt Tuning for Pretrained Language Models
Prompt Learning has recently gained great popularity in bridging the gap...
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03/16/2022
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Objective: The next generation prosthetic hand that moves and feels like...
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03/02/2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels
Graph Neural Networks (GNNs) have achieved great success in various task...
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12/29/2021
Dense-to-Sparse Gate for Mixture-of-Experts
Mixture-of-experts (MoE) is becoming popular due to its success in impro...
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12/17/2021
Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis
With the development of machine learning, a data-driven model has been w...
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12/14/2021
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
Embedding models have been an effective learning paradigm for high-dimen...
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10/28/2021
RIM: Reliable Influence-based Active Learning on Graphs
Message passing is the core of most graph models such as Graph Convoluti...
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08/23/2021
Graph Attention Multi-Layer Perceptron
Graph neural networks (GNNs) have recently achieved state-of-the-art per...
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08/02/2021
Evaluating Deep Graph Neural Networks
Graph Neural Networks (GNNs) have already been widely applied in various...
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03/24/2021
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
Objective: Deep learning-based neural decoders have emerged as the promi...
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07/21/2020
Fine-Grained Image Captioning with Global-Local Discriminative Objective
Significant progress has been made in recent years in image captioning, ...
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11/21/2019
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks
As the development of neural networks, more and more deep neural network...
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10/07/2019
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding
Automatic representation learning of key entities in electronic health r...
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06/02/2019
Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems
In dealing with constrained multi-objective optimization problems (CMOPs...
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12/16/2018
Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems
This paper proposes a push and pull search method in the framework of di...
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10/19/2018
Towards Efficient Large-Scale Graph Neural Network Computing
Recent deep learning models have moved beyond low-dimensional regular gr...
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09/14/2018
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording
Understanding the coordinated activity underlying brain computations req...
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05/11/2018
Coverage Probability Analysis of UAV Cellular Networks in Urban Environments
In this paper, we study coverage probabilities of the UAV-assisted cellu...
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05/11/2018
Channel Model in Urban Environment for Unmanned Aerial Vehicle Communications
In order to develop and analyze reliable communications links for unmann...
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05/11/2018
Blockage Modeling for Inter-layer UAVs Communications in Urban Environments
The impact of buildings blockage on the UAVs communications in different...
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05/10/2018
Achieving Super-Resolution with Redundant Sensing
Analog-to-digital (quantization) and digital-to-analog (de-quantization)...
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02/15/2018
A Bio-inspired Redundant Sensing Architecture
Sensing is the process of deriving signals from the environment that all...
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02/14/2018
Advancing System Performance with Redundancy: From Biological to Artificial Designs
Redundancy is a fundamental characteristic of many biological processes ...
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08/22/2014