Yuan Zhang

Orcid: 0000-0002-7849-208X

Affiliations:
  • Kuaishou Technology Co., Ltd, Beijing, China
  • Peking University, Department of Machine Intelligence, Key Laboratory of Machine Perception, Beijng, China


According to our database1, Yuan Zhang authored at least 20 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

2024
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.
ACM Trans. Inf. Syst., January, 2024

Intersectional Two-sided Fairness in Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Measuring Item Global Residual Value for Fair Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
Real-time Short Video Recommendation on Mobile Devices.
CoRR, 2022

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Multi-granularity Consecutive User Intent Unit for 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

Real-time Short Video Recommendation on Mobile Devices.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation.
CoRR, 2021

r-GAT: Relational Graph Attention Network for Multi-Relational Graphs.
CoRR, 2021

2020
Graph-based Regularization on Embedding Layers for Recommendation.
ACM Trans. Inf. Syst., 2020

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

FocalMix: Semi-Supervised Learning for 3D Medical Image Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Neural IR Meets Graph Embedding: A Ranking Model for Product Search.
Proceedings of the World Wide Web Conference, 2019

2018
COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Hierarchical Community-Level Information Diffusion Modeling in Social Networks.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Enhancing the Network Embedding Quality with Structural Similarity.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


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