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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...
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01/19/2023
GIPA++: A General Information Propagation Algorithm for Graph Learning
Graph neural networks (GNNs) have been widely used in graph-structured d...
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11/29/2022
Context-Aware Robust Fine-Tuning
Contrastive Language-Image Pre-trained (CLIP) models have zero-shot abil...
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09/07/2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability
Backdoor attack is a powerful attack algorithm to deep learning model. R...
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09/07/2022
A Systematical Evaluation for Next-Basket Recommendation Algorithms
Next basket recommender systems (NBRs) aim to recommend a user's next (s...
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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...
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07/25/2022
One-off Negative Sequential Pattern Mining
Negative sequential pattern mining (SPM) is an important SPM research to...
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06/15/2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Clustering is a fundamental machine learning task which has been widely ...
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04/21/2022
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump
As the pump-and-dump schemes (P Ds) proliferate in the cryptocurrency ...
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02/25/2022
MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation
Large-scale e-commercial platforms in the real-world usually contain var...
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02/24/2022
Community Trend Prediction on Heterogeneous Graph in E-commerce
In online shopping, ever-changing fashion trends make merchants need to ...
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02/21/2022
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction
Short video has witnessed rapid growth in China and shows a promising ma...
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12/25/2021
DBC-Forest: Deep forest with binning confidence screening
As a deep learning model, deep confidence screening forest (gcForestcs) ...
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12/07/2021
GraphPAS: Parallel Architecture Search for Graph Neural Networks
Graph neural architecture search has received a lot of attention as Grap...
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11/20/2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Graph representation learning (GRL) is critical for graph-structured dat...
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11/06/2021
Long-distance twin-field quantum key distribution with entangled sources
Twin-field quantum key distribution (TFQKD), using single-photon-type in...
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11/01/2021
Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
Mobile network traffic forecasting is one of the key functions in daily ...
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10/11/2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained language models (PLMs) have been the de facto paradigm for m...
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09/23/2021
Finite-key Analysis for Quantum Conference Key Agreement with Asymmetric Channels
As an essential ingredient of quantum networks, quantum conference key a...
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06/15/2021
Thompson Sampling for Unimodal Bandits
In this paper, we propose a Thompson Sampling algorithm for unimodal ban...
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05/13/2021
Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence
Artificial Intelligence has been a growth catalyst to our society and is...
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11/24/2020
Cyclic Label Propagation for Graph Semi-supervised Learning
Graph neural networks (GNNs) have emerged as effective approaches for gr...
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11/09/2020
Distant Supervision for E-commerce Query Segmentation via Attention Network
The booming online e-commerce platforms demand highly accurate approache...
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11/04/2020
A Survey on Contact Tracing: the Latest Advancements and Challenges
Infectious diseases are caused by pathogenic microorganisms, such as bac...
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10/26/2020
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention
Literature analysis facilitates researchers to acquire a good understand...
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10/06/2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Patient representation learning refers to learning a dense mathematical ...
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08/19/2019
Cross-modal Zero-shot Hashing
Hashing has been widely studied for big data retrieval due to its low st...
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05/14/2019
ActiveHNE: Active Heterogeneous Network Embedding
Heterogeneous network embedding (HNE) is a challenging task due to the d...
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04/04/2019
Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics
As JPEG is the most widely used image format, the importance of tamperin...
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04/03/2019
Personalized Bundle List Recommendation
Product bundling, offering a combination of items to customers, is one o...
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04/03/2019
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce
Nowadays, more and more customers browse and purchase products in favor ...
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11/11/2018
Product Title Refinement via Multi-Modal Generative Adversarial Learning
Nowadays, an increasing number of customers are in favor of using E-comm...
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09/11/2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction
With the development of cloud computing and big data, the reliability of...
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12/30/2017
Dynamic Interference Steering in Heterogeneous Cellular Networks
With the development of diverse wireless communication technologies, int...
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12/21/2017
Interference Steering to Manage Interference
To enable densely deployed base stations (BSs) or access points (APs) to...
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04/26/2016