Yangyong Zhu

Orcid: 0000-0002-6258-0747

According to our database1, Yangyong Zhu authored at least 105 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.
CoRR, 2024

2023
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics.
Knowl. Inf. Syst., November, 2023

TIGER: Temporal Interaction Graph Embedding with Restarts.
Proceedings of the ACM Web Conference 2023, 2023

ConsRec: Learning Consensus Behind Interactions for Group Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction.
Proceedings of the Database Systems for Advanced Applications, 2023

Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning.
Proceedings of the Database Systems for Advanced Applications, 2023

RDGSL: Dynamic Graph Representation Learning with Structure Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Multi-task attributed graphical lasso and its application in fund classification.
World Wide Web, 2022

Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs.
Knowl. Inf. Syst., 2022

Exploring the form of big data products and the supporting systems.
J. Big Data, 2022

Triangle Graph Interest Network for Click-through Rate Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

CLARE: A Semi-supervised Community Detection Algorithm.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Cross-Modal Contrastive Learning for Code Search.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Concurrent Transformer for Spatial-Temporal Graph Modeling.
Proceedings of the Database Systems for Advanced Applications, 2022

Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs.
IEEE Trans. Knowl. Data Eng., 2021

GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2021

Highly Liquid Temporal Interaction Graph Embeddings.
Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation.
Proceedings of the WSDM '21, 2021

HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining.
Proceedings of the IEEE International Conference on Data Mining, 2021

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Improving Chinese Character Representation with Formation Graph Attention Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Radiology Report Generation for Rare Diseases via Few-shot Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Addressing Disparities in Diabetes Using Temporal Fairness Models.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
A measure based pricing framework for data products.
Web Intell., 2020

Following data as it crosses borders during the COVID-19 pandemic.
J. Am. Medical Informatics Assoc., 2020

ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting.
CoRR, 2020

SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation.
Proceedings of the Database Systems for Advanced Applications, 2020

SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

MinSR: Multi-level Interests Network for Session-Based Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020

SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs.
Proceedings of the Database Systems for Advanced Applications, 2020

CommDGI: Community Detection Oriented Deep Graph Infomax.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

TI-GCN: A Dynamic Network Embedding Method with Time Interval Information.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Few-shot Radiology Report Generation for Rare Diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Multi-task Attributed Graphical Lasso.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

KASR: Knowledge-Aware Sequential Recommendation.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
数据资产相关概念综述 (Survey of Concepts Related to Data Assets).
计算机科学, 2019

Visualizing Literature Review Theme Evolution on Timeline Maps: Comparison Across Disciplines.
IEEE Access, 2019

NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

GAN-Based Deep Matrix Factorization for Recommendation Systems.
Proceedings of the Data Science - 6th International Conference, 2019

Net2Text: An Edge Labelling Language Model for Personalized Review Generation.
Proceedings of the Database Systems for Advanced Applications, 2019

DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation.
Proceedings of the Database Systems for Advanced Applications, 2019

EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Metapath Enhanced Graph Attention Encoder for HINs Representation Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
NetCycle+: A Framework for Collective Evolution Inference in Dynamic Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2018

数据质量的历史沿革和发展趋势 (History and Development Tendency of Data Quality).
计算机科学, 2018

Deep Collective Classification in Heterogeneous Information Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions.
Proceedings of the Database Systems for Advanced Applications, 2018

Tracking Dynamic Magnet Communities: Insights from a Network Perspective.
Proceedings of the Database Systems for Advanced Applications, 2018

Predicting Disease-related Associations by Heterogeneous Network Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
How the Passengers Flow in Complex Metro Networks?
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Learning Node Embeddings in Interaction Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Big Data for Remote Sensing: Challenges and Opportunities.
Proc. IEEE, 2016

NetCycle: Collective Evolution Inference in Heterogeneous Information Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Top-k Similarity Join in Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2015

Towards Data Science.
Data Sci. J., 2015

The Challenges of Data Quality and Data Quality Assessment in the Big Data Era.
Data Sci. J., 2015

Defining Data Science.
CoRR, 2015

Multi-source Information Fusion for Personalized Restaurant Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

A Spark-Based Big Data Platform for Massive Remote Sensing Data Processing.
Proceedings of the Data Science - Second International Conference, 2015

2013
Microblogging Personalized Recommendation Based on Ego Networks.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Time Series Representation: A Random Shifting Perspective.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Co-anomaly Event Detection in Multiple Temperature Series.
Proceedings of the Knowledge Science, Engineering and Management, 2013

Towards Cohesive Anomaly Mining.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Link Prediction Using BenefitRanks in Weighted Networks.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Construction of Chinese A-shares Network Using Latent Dirichlet Allocation.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Clustering Based on Yukawa Potential.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

FIND - A Data Cloud Platform for Financial Data Services.
Proceedings of the DATA 2012, 2012

Mining hub-based protein complexes in massive biological networks.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2010
User Navigation Behavior Mining Using Multiple Data Domain Description.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity.
Proceedings of the Brain Informatics, International Conference, 2010

TOPPER: An algorithm for mining top k patterns in biological sequences based on regularity measurement.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
A Collaborative Multiagent System for Mining Transcriptional Regulatory Elements.
IEEE Intell. Syst., 2009

A Cost-Effective LSH Filter for Fast Pairwise Mining.
Proceedings of the ICDM 2009, 2009

Mining Peculiarity Groups in Day-by-Day Behavioral Datasets.
Proceedings of the ICDM 2009, 2009

Data Explosion, Data Nature and Dataology.
Proceedings of the Brain Informatics, International Conference, BI 2009, 2009

2008
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor.
BMC Bioinform., 2008

ITFP: an integrated platform of mammalian transcription factors.
Bioinform., 2008

Efficient Maintaining of Skyline over Probabilistic Data Stream.
Proceedings of the Fourth International Conference on Natural Computation, 2008

An Agent-Based Approach to Mine Transcriptional Regulatory Elements.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007
Incremental Mining of Sequential Patterns Using Prefix Tree.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

An Efficient Algorithm for Web Access Pattern Mining.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

SPANBRE: An Efficient Hierarchical Clustering Algorithm for Spatial Data with Neighborhood Relations.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Estimating Similarity over Data Streams Based on Dynamic Time Warping.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
Grid-Enabled Metropolis Shared Research Platform.
Proceedings of the Advanced Web and Network Technologies, and Applications, 2006

2005
L-Tree Match: A New Data Extraction Model and Algorithm for Huge Text Stream with Noises.
J. Comput. Sci. Technol., 2005

A Top-Down Algorithm for Mining Web Access Patterns from Web Logs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

A Multi-Supports-Based Sequential Pattern Mining Algorithm.
Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005

2003
A New Algorithm for Performing Ratings-Based Collaborative Filtering.
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003

2002
ARMiner: A Data Mining Tool Based on Association Rules.
J. Comput. Sci. Technol., 2002

2001
ARMiner: A Data Mining Tool Based on Association Rules.
Proceedings of the Advances in Web-Age Information Management, 2001

2000
Mining Association Rules with Negative Items Using Interest Measure.
Proceedings of the Web-Age Information Management, First International Conference, 2000

1997
Techniques of integrating Datalog with PROLOG.
J. Comput. Sci. Technol., 1997


  Loading...