Weiqing Wang

Orcid: 0000-0002-9578-819X

Affiliations:
  • Monash University, Melbourne, Australia


According to our database1, Weiqing Wang authored at least 58 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation.
World Wide Web (WWW), May, 2024

Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios.
IEEE Trans. Knowl. Data Eng., April, 2024

HiTSKT: A hierarchical transformer model for session-aware knowledge tracing.
Knowl. Based Syst., 2024

Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues.
CoRR, 2024

PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval.
CoRR, 2024

OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation.
CoRR, 2024

Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Generating Faithful and Salient Text from Multimodal Data.
Proceedings of the 17th International Natural Language Generation Conference, 2024

HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Scalable Transformer for High Dimensional Multivariate Time Series Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Co-designing a knowledge management tool for educator communities of practice.
Proceedings of the Designing Interactive Systems Conference, 2024

2023
HFUL: a hybrid framework for user account linkage across location-aware social networks.
VLDB J., January, 2023

Hypergraph Node Representation Learning with One-Stage Message Passing.
CoRR, 2023

Generating Faithful Text From a Knowledge Graph with Noisy Reference Text.
Proceedings of the 16th International Natural Language Generation Conference, 2023

MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Social Boosted Recommendation With Folded Bipartite Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Unsupervised Sentence Simplification via Dependency Parsing.
CoRR, 2022

Paraphrasing Techniques for Maritime QA system.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
EEUPL: Towards effective and efficient user profile linkage across multiple social platforms.
World Wide Web, 2021

A graph embedding based model for fine-grained POI recommendation.
Neurocomputing, 2021

Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction.
CoRR, 2021

Multiple Features Driven Author Name Disambiguation.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Intention-oriented Hierarchical Bundle Recommendation with Preference Transfer.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud.
World Wide Web, 2020

Cluster query: a new query pattern on temporal knowledge graph.
World Wide Web, 2020

User Account Linkage Across Multiple Platforms with Location Data.
J. Comput. Sci. Technol., 2020

Decentralized Knowledge Graph Representation Learning.
CoRR, 2020

Robust Attribute and Structure Preserving Graph Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Gaussian Embedding of Large-Scale Attributed Graphs.
Proceedings of the Databases Theory and Applications, 2020

2019
Exploiting Combination Effect for Unsupervised Feature Selection by ℓ<sub>2, 0</sub> Norm.
IEEE Trans. Neural Networks Learn. Syst., 2019

Online User Representation Learning Across Heterogeneous Social Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

A Spatio-temporal Recommender System for On-demand Cinemas.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
TPM: A Temporal Personalized Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol., 2018

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system.
Knowl. Based Syst., 2018

Streaming Ranking Based Recommender Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Effective and Efficient User Account Linkage across Location Based Social Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Point of interests recommendation in location-based social networks
PhD thesis, 2017

An empirical study on user-topic rating based collaborative filtering methods.
World Wide Web, 2017

Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2017

ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol., 2017

Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Exploiting Spatio-Temporal User Behaviors for User Linkage.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation.
ACM Trans. Inf. Syst., 2016

SPORE: A sequential personalized spatial item recommender system.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
EISA: An Efficient Information Theoretical Approach to Value Segmentation in Large Databases.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
Comparing Collaborative Filtering Methods Based on User-Topic Ratings.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

The Application of Transfer Learning on E-Commerce Recommender Systems.
Proceedings of the 2013 10th Web Information System and Application Conference, 2013


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