Jianling Wang

Orcid: 0000-0001-9916-0976

According to our database1, Jianling Wang authored at least 50 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification.
ACM Trans. Knowl. Discov. Data, May, 2024

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models.
CoRR, 2024

Large Language Models as Data Augmenters for Cold-Start Item Recommendation.
CoRR, 2024

Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Countering Mainstream Bias via End-to-End Adaptive Local Learning.
Proceedings of the Advances in Information Retrieval, 2024

Federated Conversational Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2024

2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks.
CoRR, 2023

Enhancing User Personalization in Conversational Recommenders.
Proceedings of the ACM Web Conference 2023, 2023

Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Strong Graph Neural Networks with Weak Information.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Closed-book Question Generation via Contrastive Learning.
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.
IEEE Trans. Neural Networks Learn. Syst., 2022

Energy efficiency maximization for IRS-assisted NOMA networks.
Phys. Commun., 2022

Spectral efficiency maximization for IRS-assisted wireless communication in cognitive radio networks.
Phys. Commun., 2022

Towards Fair Conversational Recommender Systems.
CoRR, 2022

Learning to Augment for Casual User Recommendation.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Exploring Heterogeneous Metadata for Video Recommendation with Two-tower Model.
CoRR, 2021

Weakly-supervised Graph Meta-learning for Few-shot Node Classification.
CoRR, 2021

Fairness-aware Personalized Ranking Recommendation via Adversarial Learning.
CoRR, 2021

Popularity-Opportunity Bias in Collaborative Filtering.
Proceedings of the WSDM '21, 2021

Sequential Recommendation for Cold-start Users with Meta Transitional Learning.
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.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020
Adaptive Hierarchical Translation-based Sequential Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

User Recommendation in Content Curation Platforms.
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.
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.
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.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Next-item Recommendation with Sequential Hypergraphs.
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.
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.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Recommending Music Curators: A Neural Style-Aware Approach.
Proceedings of the Advances in Information Retrieval, 2020

Graph Prototypical Networks for Few-shot Learning on Attributed Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Improving Top-K Recommendation via JointCollaborative Autoencoders.
Proceedings of the World Wide Web Conference, 2019

Recurrent Recommendation with Local Coherence.
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.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Fairness-Aware Recommendation of Information Curators.
CoRR, 2018

2017
Stockyard: A discrete event-based stock market exchange simulator.
Proceedings of the 2017 Winter Simulation Conference, 2017

2015
Social Media Adoption and Corporate Disclosure.
J. Inf. Syst., 2015

Examining micro-level knowledge sharing discussions in online communities.
Inf. Syst. Frontiers, 2015

2012
The key role of psychological empowerment in boundary employee units based on gray preference.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Optimal path solution of urban traffic road.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
The effect of standardization and customization on service satisfaction.
J. Serv. Sci. Res., 2010

2009
The Status Quo and Supply Prediction for Suzhou Sci-Tech Innovative Talents.
Proceedings of the IEEE International Conference on Systems, 2009

Study on 2-tuple Linguistic Assessment Method based on Grey Cluster with Incomplete Attribute Weight Information.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Evaluation of customer satisfaction in automobile after-sales service based on grey incidence analysis.
Proceedings of the IEEE International Conference on Systems, 2008

Grey multi-attribute decision-making method based on two-phase optimization.
Proceedings of the IEEE International Conference on Systems, 2008

2007
Consumer evaluation of service brand extension based on gray preference analysis.
Proceedings of the IEEE International Conference on Systems, 2007

2006
Forecasting OF LYG Port Effect On LX Highway Traffic Based ON GM (1, 1).
Proceedings of the IEEE International Conference on Systems, 2006


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