Yu Zheng

Orcid: 0000-0002-1837-6730

Affiliations:
  • Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, BNRist, Beijing, China


According to our database1, Yu Zheng authored at least 24 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Causal Inference in Recommender Systems: A Survey and Future Directions.
ACM Trans. Inf. Syst., July, 2024

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.
CoRR, 2024

Artificial Intelligence for Complex Network: Potential, Methodology and Application.
CoRR, 2024

Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

MetroGNN: Metro Network Expansion with Reinforcement Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Inverse Learning with Extremely Sparse Feedback for Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Mixed Attention Network for Cross-domain Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

2023
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.
Trans. Recomm. Syst., March, 2023

Incorporating Price into Recommendation With Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2023

Spatial planning of urban communities via deep reinforcement learning.
Nat. Comput. Sci., 2023

Dual-interest Factorization-heads Attention for Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Road Planning for Slums via Deep Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives.
CoRR, 2022

Disentangling Long and Short-Term Interests for Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dual Contrastive Network for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Bringing Friends into the Loop of Recommender Systems: An Exploratory Study.
Proc. ACM Hum. Comput. Interact., 2021

Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions.
CoRR, 2021

Disentangling User Interest and Conformity for Recommendation with Causal Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

DGCN: Diversified Recommendation with Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Sequential Recommendation with Graph Neural Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding.
CoRR, 2020

Price-aware Recommendation with Graph Convolutional Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020


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