Yuyang Ye

According to our database, Yuyang Ye authored at least 24 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Yufei Ye, Wei Guo, Hao Wang, Hong Zhu, Yuyang Ye, Yong Liu, Huifeng Guo, Ruiming Tang, Defu Lian, Enhong Chen

CoRR, August, 2025

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

Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen

CoRR, June, 2025

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

Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen

CoRR, June, 2025

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

Hao Yu, Chu Xin Cheng, Runlong Yu, Yuyang Ye, Shiwei Tong, Zhaofeng Liu, Defu Lian

CoRR, June, 2025

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

Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen

Proceedings of the ACM on Web Conference 2025, 2025

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

Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen

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

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.

Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong

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

Scaling New Frontiers: Insights into Large Recommendation Models.

Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen

CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.

Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang

CoRR, 2024

Tackling Uncertain Correspondences for Multi-Modal Entity Alignment.

Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong

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.

Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng

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

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

Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

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

2023

MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks.

Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong

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

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

Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen

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

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

Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma

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

2022

Collaborative List-and-Pairwise Filtering From Implicit Feedback.

Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma

IEEE Trans. Knowl. Data Eng., 2022

2021

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

Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen

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

2019

Long-term Joint Scheduling for Urban Traffic.

Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

CoRR, 2019

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

Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong

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

2018

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.

Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du

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

Multiple Pairwise Ranking with Implicit Feedback.

Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen

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

2016

Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.

Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong

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