Liang Hu

Orcid: 0000-0001-8588-2177

Affiliations:

Tongji University, Department of Computer Science, Shanghai, China
University of Technology, Sydney, Australia
Shanghai Jiaotong University, Department of Computer Science and Engineering, China

According to our database¹, Liang Hu authored at least 78 papers between 2008 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Incorporating historical information by disentangling hidden representations for mental health surveillance on social media.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., December, 2024

Deep Coupling Network for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., September, 2024

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.

[BibT_eX]

[DOI]

CoRR, 2024

CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Wills Aligner: A Robust Multi-Subject Brain Representation Learner.

[BibT_eX]

[DOI]

CoRR, 2024

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction.

[BibT_eX]

[DOI]

CoRR, 2024

DE<sup>3</sup>-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks.

[BibT_eX]

[DOI]

CoRR, 2024

MSynFD: Multi-hop Syntax Aware Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Lite-Mind: Towards Efficient and Robust Brain Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Reasoning Transformers for Knowledge-Aware Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Modeling User Demand Evolution for Next-Basket Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

PFEMed: Few-shot medical image classification using prior guided feature enhancement.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast.

[BibT_eX]

[DOI]

CoRR, 2023

Lite-Mind: Towards Efficient and Versatile Brain Representation Network.

[BibT_eX]

[DOI]

CoRR, 2023

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees.

[BibT_eX]

[DOI]

CoRR, 2023

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Tutorials at The Web Conference 2023.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Behrooz Omidvar-Tehrani

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Syntax Tree Constrained Graph Network for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Causal Intervention for Abstractive Related Work Generation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

Graph Learning based Recommender Systems: A Review.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Graph Learning Approaches to Recommender Systems: A Review.

[BibT_eX]

[DOI]

CoRR, 2020

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2019

Sequential Recommender Systems: Challenges, Progress and Prospects.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Non-IID recommender systems: a machine learning approach

[BibT_eX]

[DOI]

Liang Hu

PhD thesis, 2018

FastPM: An approach to pattern matching via distributed stream processing.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2018

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Metric-Based Auto-Instructor for Learning Mixed Data Representation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2017

Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation.

[BibT_eX]

[DOI]

Shoujin Wang

Liang Hu

Longbing Cao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Diversifying Personalized Recommendation with User-session Context.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2016

2015

Document similarity analysis via involving both explicit and implicit semantic couplings.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Deep Modeling Complex Couplings within Financial Markets.

[BibT_eX]

[DOI]

Wei Cao

Liang Hu

Longbing Cao

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Deep Modeling of Group Preferences for Group-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Social-Aware Service Recommendation Approach for Mashup Creation.

[BibT_eX]

[DOI]

Int. J. Web Serv. Res., 2013

Personalized recommendation via cross-domain triadic factorization.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

GEAM: A General and Event-Related Aspects Model for Twitter Event Detection.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

2012

Latent Informative Links Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Book Recommendation Based on Joint Multi-relational Model.

[BibT_eX]

[DOI]

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

A Service Intermediary Agent Framework for Web Service Integration.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Asia-Pacific Services Computing Conference, 2012

2010

Service Discovery and Recommendation in Rough Hierarchical Granular Computing.

[BibT_eX]

[DOI]

Liang Hu

Jian Cao

Zhiping Gu

Proceedings of the 5th IEEE Asia-Pacific Services Computing Conference, 2010

2008

Modeling Semantic Web Service using Semantic Templates.

[BibT_eX]

[DOI]

Liang Hu

Jian Cao

Zhiping Gu

Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008

Liang Hu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...