Yiming Zhang

Orcid: 0009-0001-0233-3541

Affiliations:
  • Tongji University, Department of Computer Science and Technology, Shanghai, China


According to our database1, Yiming Zhang authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Towards Multi-subsession Conversational Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation.
Trans. Recomm. Syst., December, 2023

Data-Augmented Counterfactual Learning for Bundle Recommendation.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

2022
Data-Augmented Counterfactual Learning for Bundle Recommendation.
CoRR, 2022

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Intention Adaptive Graph Neural Network for Category-Aware Session-Based Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

Temporal aware Multi-Interest Graph Neural Network for Session-based Recommendation.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation.
CoRR, 2021

Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation.
CoRR, 2021

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation.
CoRR, 2021

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.
CoRR, 2021

2020
Time-Aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation.
Proceedings of the Knowledge Science, Engineering and Management, 2020


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