Jianling Wang

CoRR, 2024

LLMs for User Interest Exploration: A Hybrid Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models.

[BibT_eX]

[DOI]

CoRR, 2024

Data-efficient graph learning: Problems, progress, and prospects.

[BibT_eX]

[DOI]

AI Mag., 2024

Large Language Models as Data Augmenters for Cold-Start Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs.

[BibT_eX]

[DOI]

Haokai Lu

Minmin Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

LLMs for User Interest Exploration in Large-scale Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Countering Mainstream Bias via End-to-End Adaptive Local Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

Federated Conversational Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Empowering Large Language Models for Textual Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Enhancing User Personalization in Conversational Recommenders.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Strong Graph Neural Networks with Weak Information.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Closed-book Question Generation via Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Item Relationship Graph Neural Networks for E-Commerce.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Energy efficiency maximization for IRS-assisted NOMA networks.

[BibT_eX]

[DOI]

Jing Li

Phys. Commun., 2022

Spectral efficiency maximization for IRS-assisted wireless communication in cognitive radio networks.

[BibT_eX]

[DOI]

Phys. Commun., 2022

Towards Fair Conversational Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Augment for Casual User Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model.

[BibT_eX]

[DOI]

Ainur Yessenalina

Alireza Roshan Ghias

CoRR, 2021

Weakly-supervised Graph Meta-learning for Few-shot Node Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Fairness-aware Personalized Ranking Recommendation via Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Popularity-Opportunity Bias in Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Sequential Recommendation for Cold-start Users with Meta Transitional Learning.

[BibT_eX]

[DOI]

Kaize Ding

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Session-based Recommendation with Hypergraph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020

Adaptive Hierarchical Translation-based Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

User Recommendation in Content Curation Platforms.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Next-item Recommendation with Sequential Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ADORE: Aspect Dependent Online REview Labeling for Review Generation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Recommending Music Curators: A Neural Style-Aware Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2020

Graph Prototypical Networks for Few-shot Learning on Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Improving Top-K Recommendation via JointCollaborative Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Recurrent Recommendation with Local Coherence.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Fairness-Aware Recommendation of Information Curators.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Stockyard: A discrete event-based stock market exchange simulator.

[BibT_eX]

[DOI]

Proceedings of the 2017 Winter Simulation Conference, 2017

2015

Social Media Adoption and Corporate Disclosure.

[BibT_eX]

[DOI]

J. Inf. Syst., 2015

Examining micro-level knowledge sharing discussions in online communities.

[BibT_eX]

[DOI]

Inf. Syst. Frontiers, 2015

2012

The key role of psychological empowerment in boundary employee units based on gray preference.

[BibT_eX]

[DOI]

Lirong Jian

Xuejiao Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011

Optimal path solution of urban traffic road.

[BibT_eX]

[DOI]

Yongsheng Xu