Jianliang Gao

Orcid: 0000-0002-9363-9908

According to our database1, Jianliang Gao authored at least 100 papers between 2006 and 2024.

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Bibliography

2024
AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network.
IEEE J. Biomed. Health Informatics, March, 2024

Adaptive graph contrastive learning with joint optimization of data augmentation and graph encoder.
Knowl. Inf. Syst., March, 2024

A graph-powered large-scale fraud detection system.
Int. J. Mach. Learn. Cybern., January, 2024

Graph neural architecture prediction.
Knowl. Inf. Syst., January, 2024

AutoTGRL: an automatic text-graph representation learning framework.
Neural Comput. Appl., 2024

2023
GM2NAS: multitask multiview graph neural architecture search.
Knowl. Inf. Syst., October, 2023

Cancer drug response prediction with surrogate modeling-based graph neural architecture search.
Bioinform., August, 2023

A supervised and distributed framework for cold-start author disambiguation in large-scale publications.
Neural Comput. Appl., June, 2023

Neural predictor-based automated graph classifier framework.
Mach. Learn., April, 2023

Higher-Order Interaction Goes Neural: A Substructure Assembling Graph Attention Network for Graph Classification.
IEEE Trans. Knowl. Data Eng., 2023

AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach.
IEEE Intell. Syst., 2023

MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Enhanced Feature Extraction Method for EEG Based on Empirical Mode Decomposition.
Proceedings of the 10th IEEE International Conference on Cyber Security and Cloud Computing, 2023

TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Cyclic label propagation for graph semi-supervised learning.
World Wide Web, 2022

Auto-GNAS: A Parallel Graph Neural Architecture Search Framework.
IEEE Trans. Parallel Distributed Syst., 2022

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.
ACM Trans. Inf. Syst., 2022

Graph-Based Stock Recommendation by Time-Aware Relational Attention Network.
ACM Trans. Knowl. Discov. Data, 2022

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention.
Knowl. Based Syst., 2022

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks.
Inf. Sci., 2022

Static-Dynamic Graph Neural Network for Stock Recommendation.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Dual-Augment Graph Neural Network for Fraud Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
ORP: An Online Rule Placement Scheme to Optimize the Traffic Overhead for Data Center Networks.
IEEE Trans. Netw. Sci. Eng., 2021

Protein2Vec: Aligning Multiple PPI Networks with Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

An efficient on-demand charging scheduling scheme for mobile charging vehicle.
Int. J. Commun. Syst., 2021

Large-scale online multi-view graph neural network and applications.
Future Gener. Comput. Syst., 2021

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline.
Proceedings of the Companion of The Web Conference 2021, 2021

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

GraphPAS: Parallel Architecture Search for Graph Neural Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Cropping Graph Convolution Neural Network for Prediction of Compound Carcinogenicity.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Multi-label Metabolic Pathway Prediction with Auto Molecular Structure Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
NeuroImage, 2020

Distant Supervision for E-commerce Query Segmentation via Attention Network.
CoRR, 2020

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention.
CoRR, 2020

Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation.
Complex., 2020

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.
Complex., 2020

MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors.
Proceedings of the Database Systems for Advanced Applications, 2020

Time-aware Graph Relational Attention Network for Stock Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Dynamic Load Balance for Hot-spot and Unbalance Region Problems in HBase.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Multi-task Based Few-Shot Learning for Disease Similarity Measurement.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
On-demand virtual research environments using microservices.
PeerJ Comput. Sci., 2019

Against Signed Graph Deanonymization Attacks on Social Networks.
Int. J. Parallel Program., 2019

Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier.
Neurocomputing, 2019

Metabolomics in the Cloud: Scaling Computational Tools to Big Data.
CoRR, 2019

Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Who is Who: Name Disambiguation in Large-Scale Scientific Literature.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Resisting re-identification mining on social graph data.
World Wide Web, 2018

On Threshold-Free Error Detection for Industrial Wireless Sensor Networks.
IEEE Trans. Ind. Informatics, 2018

Incremental Graph Pattern Matching Algorithm for Big Graph Data.
Sci. Program., 2018

RCSS: A Real-Time On-Demand Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks.
Sensors, 2018

KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments.
CoRR, 2018

ConnectedAlign: a PPI network alignment method for identifying conserved protein complexes across multiple species.
BMC Bioinform., 2018

Reliable Code Disseminations Through Opportunistic Communication in Vehicular Wireless Networks.
IEEE Access, 2018

Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Distributed Top-k Subgraph Matching in A Big Graph.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Aligning Multiple PPI Networks with Representation Learning on Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
An Adaptive MAC Protocol for Wireless Rechargeable Sensor Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

Counter Deanonymization Query: H-index Based <i>k</i>-Anonymization Privacy Protection for Social Networks.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Markov Fluid Queue Model for Rechargeable Sensor Nodes with Abnormal Death.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Community-Based Network Alignment for Large Attributed Network.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Fast botnet detection from streaming logs using online lanczos method.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
A Residual Energy Aware Schedule Scheme for WSNs Employing Adjustable Awake/Sleep Duty Cycle.
Wirel. Pers. Commun., 2016

PRS: Parallel Relaxation Simulation for Massive Graphs.
Comput. J., 2016

Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Achieving high k-coverage and k-consistency in global alignment of multiple PPI networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014
A Novel Verification Scheme for Fine-Grained Top-k Queries in Two-Tiered Sensor Networks.
Wirel. Pers. Commun., 2014

Lossy links diagnosis for wireless sensor networks by utilising the existing traffic information.
Int. J. Embed. Syst., 2014

Numerical simulation on the influence of gob permeability on distribution of air leakage flow field.
Int. J. Comput. Sci. Eng., 2014

2013
QSA: Query Splitting-Based Anticollision for Mobile RFID-Based Internet-of-Things.
Int. J. Distributed Sens. Networks, 2013

Analysis of the MAC protocol in low rate wireless personal area networks with bursty ON-OFF traffic.
Concurr. Comput. Pract. Exp., 2013

Energy-Efficient Multicast Protocol for Real-Time Wireless Sensor Networks.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012
A Virtual-Ring-Based Data Storage and Retrieval Scheme in Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2012

HMRF-based distributed fault detection for wireless sensor networks.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

A clustering-based scheme for concurrent trace in debugging NoC-based multicore systems.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

2011
Eliminating data invalidation in debugging multiple-clock chips.
Proceedings of the Design, Automation and Test in Europe, 2011

2010
A Novel Post-Silicon Debug Mechanism Based on Suspect Window.
IEICE Trans. Inf. Syst., 2010

QoS analysis of medium access control in LR-WPANs under bursty error channels.
Future Gener. Comput. Syst., 2010

2009
A New Post-Silicon Debug Approach Based on Suspect Window.
Proceedings of the 27th IEEE VLSI Test Symposium, 2009

QoS Performance Analysis of IEEE 802.15.4 MAC in LR-WPAN with Bursty Error Channels.
Proceedings of the MSN 2009, 2009

Performance Modelling of IEEE 802.15.4 MAC in LR-WPAN with Bursty ON-OFF Traffic.
Proceedings of the Ninth IEEE International Conference on Computer and Information Technology, 2009

2007
Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
A Coloring Based Backbone Construction Algorithm in Wireless Ad Hoc Network.
Proceedings of the Advances in Grid and Pervasive Computing, 2006


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