Fuyuan Lyu

According to our database, Fuyuan Lyu authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

Result Diversification in Search and Recommendation: A Survey.

Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu

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

Mixed-Precision Embeddings for Large-Scale Recommendation Models.

Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li

CoRR, 2024

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction.

Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He

CoRR, 2024

Collaborative Performance Prediction for Large Language Models.

Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma

CoRR, 2024

Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective.

Shaoxiang Qin, Fuyuan Lyu, Wenhui Peng, Dingyang Geng, Ju Wang, Naiping Gao, Xue Liu, Liangzhu Leon Wang

CoRR, 2024

ICE-SEARCH: A Language Model-Driven Feature Selection Approach.

Tom Tianze Yang, Tim Tianyi Yang, Shaoshan Liu, Fuyuan Lyu, Xue Liu

CoRR, 2024

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.

Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation.

Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Towards Automated Negative Sampling in Implicit Recommendation.

Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu

CoRR, 2023

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives.

Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu

CoRR, 2023

Optimizing Feature Set for Click-Through Rate Prediction.

Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu

Proceedings of the ACM Web Conference 2023, 2023

OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction.

Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network.

Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explicit Feature Interaction-aware Uplift Network for Online Marketing.

Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He

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

2022

A Survey of Diversification Techniques in Search and Recommendation.

Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu

CoRR, 2022

Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey.

Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu

CoRR, 2022

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.

Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.

Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Cross-filter compression for CNN inference acceleration.

Fuyuan Lyu, Shien Zhu, Weichen Liu

CoRR, 2020