b'Zhao Li'

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...

0 Linyao Yang, et al. ∙

research

∙ 01/19/2023

GIPA++: A General Information Propagation Algorithm for Graph Learning

Graph neural networks (GNNs) have been widely used in graph-structured d...

0 Houyi Li, et al. ∙

research

∙ 11/29/2022

Context-Aware Robust Fine-Tuning

Contrastive Language-Image Pre-trained (CLIP) models have zero-shot abil...

0 Xiaofeng Mao, et al. ∙

research

∙ 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...

0 Bingchen Jiang, et al. ∙

research

∙ 09/07/2022

A Systematical Evaluation for Next-Basket Recommendation Algorithms

Next basket recommender systems (NBRs) aim to recommend a user's next (s...

0 Zhufeng Shao, et al. ∙

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...

0 Jingsong Lv, et al. ∙

research

∙ 07/25/2022

One-off Negative Sequential Pattern Mining

Negative sequential pattern mining (SPM) is an important SPM research to...

0 Youxi Wu, et al. ∙

research

∙ 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 ...

0 Sheng Zhou, et al. ∙

research

∙ 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 ...

0 Sihao Hu, et al. ∙

research

∙ 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...

0 Linhao Luo, et al. ∙

research

∙ 02/24/2022

Community Trend Prediction on Heterogeneous Graph in E-commerce

In online shopping, ever-changing fashion trends make merchants need to ...

0 Jiahao Yuan, et al. ∙

research

∙ 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...

0 Sihao Hu, et al. ∙

research

∙ 12/25/2021

DBC-Forest: Deep forest with binning confidence screening

As a deep learning model, deep confidence screening forest (gcForestcs) ...

0 Pengfei Ma, et al. ∙

research

∙ 12/07/2021

GraphPAS: Parallel Architecture Search for Graph Neural Networks

Graph neural architecture search has received a lot of attention as Grap...

0 Jiamin Chen, et al. ∙

research

∙ 11/20/2021

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming

Graph representation learning (GRL) is critical for graph-structured dat...

0 Yizhen Zheng, et al. ∙

research

∙ 11/06/2021

Long-distance twin-field quantum key distribution with entangled sources

Twin-field quantum key distribution (TFQKD), using single-photon-type in...

0 Bing-Hong Li, et al. ∙

research

∙ 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 ...

0 Xing Wang, et al. ∙

research

∙ 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...

5 Benyou Wang, et al. ∙

research

∙ 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...

0 Zhao Li, et al. ∙

research

∙ 06/15/2021

Thompson Sampling for Unimodal Bandits

In this paper, we propose a Thompson Sampling algorithm for unimodal ban...

0 Long Yang, et al. ∙

research

∙ 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...

0 Yingbo Li, et al. ∙

research

∙ 11/24/2020

Cyclic Label Propagation for Graph Semi-supervised Learning

Graph neural networks (GNNs) have emerged as effective approaches for gr...

0 Zhao Li, et al. ∙

research

∙ 11/09/2020

Distant Supervision for E-commerce Query Segmentation via Attention Network

The booming online e-commerce platforms demand highly accurate approache...

0 Zhao Li, et al. ∙

research

∙ 11/04/2020

A Survey on Contact Tracing: the Latest Advancements and Challenges

Infectious diseases are caused by pathogenic microorganisms, such as bac...

0 Ting Jiang, et al. ∙

research

∙ 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...

0 Linlin Hou, et al. ∙

research

∙ 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 ...

32 Yuqi Si, et al. ∙

research

∙ 08/19/2019

Cross-modal Zero-shot Hashing

Hashing has been widely studied for big data retrieval due to its low st...

1 Xuanwu Liu, et al. ∙

research

∙ 05/14/2019

ActiveHNE: Active Heterogeneous Network Embedding

Heterogeneous network embedding (HNE) is a challenging task due to the d...

6 Xia Chen, et al. ∙

research

∙ 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...

0 Cheng Deng, et al. ∙

research

∙ 04/03/2019

Personalized Bundle List Recommendation

Product bundling, offering a combination of items to customers, is one o...

0 Jinze Bai, et al. ∙

research

∙ 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 ...

0 Jian-Guo Zhang, et al. ∙

research

∙ 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...

0 Jianguo Zhang, et al. ∙

research

∙ 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...

0 Jianguo Zhang, et al. ∙

research

∙ 12/30/2017

Dynamic Interference Steering in Heterogeneous Cellular Networks

With the development of diverse wireless communication technologies, int...

0 Zhao Li, et al. ∙

research

∙ 12/21/2017

Interference Steering to Manage Interference

To enable densely deployed base stations (BSs) or access points (APs) to...

0 Zhao Li, et al. ∙

research

∙ 04/26/2016

Tournament selection in zeroth-level classifier systems based on average reward reinforcement learning

As a genetics-based machine learning technique, zeroth-level classifier ...

0 Zhaoxiang Zang, et al. ∙

Zhao Li

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