Yun Xiong

Orcid: 0000-0003-0783-174X

According to our database1, Yun Xiong authored at least 157 papers between 2005 and 2025.

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

2025
LGAT: A novel model for multivariate time series anomaly detection with improved anomaly transformer and learning graph structures.
Neurocomputing, 2025

2024
Bridging distribution gaps: invariant pattern discovery for dynamic graph learning.
World Wide Web (WWW), July, 2024

DynamiSE: dynamic signed network embedding for link prediction.
Mach. Learn., July, 2024

LAMEE: a light all-MLP framework for time series prediction empowering recommendations.
World Wide Web (WWW), March, 2024

Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation.
CoRR, 2024

An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis.
CoRR, 2024

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

Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks.
CoRR, 2024

Can Graph Learning Improve Task Planning?
CoRR, 2024

Finetuning Large Language Model for Personalized Ranking.
CoRR, 2024

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.
CoRR, 2024

DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model.
CoRR, 2024

Prompt Learning on Temporal Interaction Graphs.
CoRR, 2024

MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning.
Proceedings of the 33rd USENIX Security Symposium, 2024

ProCom: A Few-shot Targeted Community Detection Algorithm.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

How Does Textual Information Selection Influence Time Series Forecasting? A Cross-modal Perspective on Financial Volatility Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Beyond the Known: Novel Class Discovery for Open-World Graph Learning.
Proceedings of the Database Systems for Advanced Applications, 2024

Improving Alignment and Uniformity of Expert Representation with Contrastive Learning for Mixture-of-Experts Model.
Proceedings of the Database Systems for Advanced Applications, 2024

Linking Adaptive Structure Induction and Neuron Filtering: A Spectral Perspective for Aspect-based Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

REDI: Recurrent Diffusion Model for Probabilistic Time Series Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GetCom: An Efficient and Generalizable Framework for Community Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Robust Sequence-Based Self-Supervised Representation Learning for Anti-Money Laundering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

ReCo:Residential Community Layout Planning Dataset.
Dataset, March, 2023

Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding.
J. Am. Medical Informatics Assoc., February, 2023

Practical black-box adversarial attack on open-set recognition: Towards robust autonomous driving.
Peer Peer Netw. Appl., January, 2023

Retrieval-Augmented Generation for Large Language Models: A Survey.
CoRR, 2023

Graph Prompt Learning: A Comprehensive Survey and Beyond.
CoRR, 2023

Joint Learning of Local and Global Features for Aspect-based Sentiment Classification.
CoRR, 2023

SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding.
CoRR, 2023

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.
CoRR, 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

Automatic Code Annotation Generation Based on Heterogeneous Graph Structure.
Proceedings of the IEEE International Conference on Software Analysis, 2023

ReCo: A Dataset for Residential Community Layout Planning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Improving Code Search with Multi-Modal Momentum Contrastive Learning.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

CLIP: Accelerating Features Deployment for Programmable Switch.
Proceedings of the IEEE INFOCOM 2023, 2023

Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2023

KeFVP: Knowledge-enhanced Financial Volatility Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adaptive Structure Induction for Aspect-based Sentiment Analysis with Spectral Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

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

MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge Graphs.
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

iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dual Intents Graph Modeling for User-centric Group Discovery.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning.
IEEE Trans. Knowl. Data Eng., 2022

Using an optimized generative model to infer the progression of complications in type 2 diabetes patients.
BMC Medical Informatics Decis. Mak., 2022

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

Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Algorithmic Trading Strategies for Informed Traders.
Proceedings of the 5th International Conference on Big Data Technologies, 2022

AISLE: Self-supervised Representation Learning for the Investigation of Advanced Persistent Threat.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 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

GeoGTI: Towards a General, Transferable and Interpretable Site Recommendation.
Proceedings of the Web Information Systems and Applications, 2022

2021
Pythagorean Fuzzy Petri Nets for Knowledge Representation and Reasoning in Large Group Context.
IEEE Trans. Syst. Man Cybern. Syst., 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

Estimating Time to Progression of Chronic Obstructive Pulmonary Disease With Tolerance.
IEEE J. Biomed. Health Informatics, 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

Exploring the Role of Intermediaries in Dual-Special Purpose Vehicle Mode REITs.
Proceedings of the ICBDT 2021: 4th International Conference on Big Data Technologies, Zibo, China, September 24, 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

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
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
An annotated dataset of tongue images.
Dataset, July, 2020

Grey Reasoning Petri Nets for Large Group Knowledge Representation and Reasoning.
IEEE Trans. Fuzzy Syst., 2020

Precise Orbit and Clock Products of Galileo, BDS and QZSS from MGEX Since 2018: Comparison and PPP Validation.
Remote. Sens., 2020

Bipolar fuzzy Petri nets for knowledge representation and acquisition considering non-cooperative behaviors.
Int. J. Mach. Learn. Cybern., 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
Real-Time Kinematic Precise Orbit Determination for LEO Satellites Using Zero-Differenced Ambiguity Resolution.
Remote. Sens., 2019

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes.
BMC Medical Informatics Decis. Mak., 2019

Failure mode and effect analysis using interval type-2 fuzzy sets and fuzzy Petri nets.
J. Intell. Fuzzy Syst., 2019

A Novel Failure Mode and Effect Analysis Approach Integrating Probabilistic Linguistic Term Sets and Fuzzy Petri Nets.
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

Data Reconstruction Based on Temporal Expressions in Clinical Notes.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

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

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

ConfigFile++: Automatic comment enhancement for misconfiguration prevention.
Proceedings of the 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, 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

A Deep Learning Approach to Handling Temporal Variation in Chronic Obstructive Pulmonary Disease Progression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Automatic Generation of Pseudocode with Attention Seq2seq Model.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

RegionAl: an Optimized Regional Classifier to Predict Mortality in Chronic Obstructive Pulmonary Disease Patients.
Proceedings of the AMIA 2018, 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

Easier Said Than Done: Diagnosing Misconfiguration via Configuration Constraints Analysis: A Study of the Variance of Configuration Constraints in Source Code.
Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017

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

Developing a regional classifier to track patient needs in medical literature using spiral timelines on a geographical map.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
ConfMapper: Automated Variable Finding for Configuration Items in Source Code.
Proceedings of the 2016 IEEE International Conference on Software Quality, 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

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

2014
An Efficient Drug-Target Interaction Mining Algorithm in Heterogeneous Biological Networks.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Mining high-temperature event space-time regions in geo-referenced temperature series data.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

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

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

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


  Loading...