Yuyang Ye

Orcid: 0000-0001-9527-8811

Affiliations:

Rutgers University, Business School, Newark, NJ, USA

According to our database¹, Yuyang Ye authored at least 31 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, February, 2026

Generative Data Transformation: From Mixed to Unified Data.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2026

2025

Preference Trajectory Modeling via Flow Matching for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, August, 2025

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model.

[BibT_eX]

[DOI]

CoRR, August, 2025

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent.

[BibT_eX]

[DOI]

CoRR, June, 2025

How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control.

[BibT_eX]

[DOI]

CoRR, June, 2025

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Scaling New Frontiers: Insights into Large Recommendation Models.

[BibT_eX]

[DOI]

CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Tackling Uncertain Correspondences for Multi-Modal Entity Alignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Collaborative List-and-Pairwise Filtering From Implicit Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

2021

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2019

Long-term Joint Scheduling for Urban Traffic.

[BibT_eX]

[DOI]

CoRR, 2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multiple Pairwise Ranking with Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016

Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Yuyang Ye

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