Liang Hu

Orcid: 0000-0001-8588-2177

Affiliations:
  • University of Technology, Sydney, Australia
  • Shanghai Jiaotong University, Department of Computer Science and Engineering, China


According to our database1, Liang Hu authored at least 55 papers between 2008 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting.
Neurocomputing, November, 2023

PFEMed: Few-shot medical image classification using prior guided feature enhancement.
Pattern Recognit., 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
CoRR, 2023

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees.
CoRR, 2023

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System.
Proceedings of the ACM Web Conference 2023, 2023


MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Syntax Tree Constrained Graph Network for Visual Question Answering.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Causal Intervention for Abstractive Related Work Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs.
Knowl. Based Syst., 2022

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting.
CoRR, 2022

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning.
CoRR, 2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation.
IEEE Intell. Syst., 2021

Graph Learning based Recommender Systems: A Review.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning.
IEEE Intell. Syst., 2020

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation.
CoRR, 2020

Graph Learning Approaches to Recommender Systems: A Review.
CoRR, 2020

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis.
IEEE Access, 2019

Sequential Recommender Systems: Challenges, Progress and Prospects.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Non-IID recommender systems: a machine learning approach
PhD thesis, 2018

FastPM: An approach to pattern matching via distributed stream processing.
Inf. Sci., 2018

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context.
IEEE Intell. Syst., 2018

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Metric-Based Auto-Instructor for Learning Mixed Data Representation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Improving the Quality of Recommendations for Users and Items in the Tail of Distribution.
ACM Trans. Inf. Syst., 2017

Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Diversifying Personalized Recommendation with User-session Context.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains.
ACM Trans. Inf. Syst., 2016

2015
Document similarity analysis via involving both explicit and implicit semantic couplings.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Deep Modeling Complex Couplings within Financial Markets.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Deep Modeling of Group Preferences for Group-Based Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A Social-Aware Service Recommendation Approach for Mashup Creation.
Int. J. Web Serv. Res., 2013

Personalized recommendation via cross-domain triadic factorization.
Proceedings of the 22nd International World Wide Web Conference, 2013

GEAM: A General and Event-Related Aspects Model for Twitter Event Detection.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis.
Proceedings of the IJCAI 2013, 2013

2012
Latent Informative Links Detection.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Book Recommendation Based on Joint Multi-relational Model.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

A Service Intermediary Agent Framework for Web Service Integration.
Proceedings of the 2012 IEEE Asia-Pacific Services Computing Conference, 2012

2010
Service Discovery and Recommendation in Rough Hierarchical Granular Computing.
Proceedings of the 5th IEEE Asia-Pacific Services Computing Conference, 2010

2008
Modeling Semantic Web Service using Semantic Templates.
Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008


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