Yanan Niu

Orcid: 0000-0003-2083-518X

According to our database1, Yanan Niu authored at least 22 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
RecFlow: An Industrial Full Flow Recommendation Dataset.
CoRR, 2024

Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation.
CoRR, 2024

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems.
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

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

UniSAR: Modeling User Transition Behaviors between Search and Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Digital Fringe Projection-Based Clamping Force Estimation Algorithm for Railway Fasteners.
Sensors, March, 2023

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

Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

KuaiSAR: A Unified Search And Recommendation Dataset.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions.
Comput. Medical Imaging Graph., 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

When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model 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

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

Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021


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