Fuyuan Lyu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Prediction Accuracy

Selected Features

Online Marketing

Recommender Systems

Top Venues

Publications

Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR (2024)
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM (2024)
Shaoxiang Qin, Fuyuan Lyu, Wenhui Peng, Dingyang Geng, Ju Wang, Naiping Gao, Xue Liu, Liangzhu Leon Wang
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective. CoRR (2024)
Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma
Collaborative Performance Prediction for Large Language Models. CoRR (2024)
Tom Tianze Yang, Tim Tianyi Yang, Shaoshan Liu, Fuyuan Lyu, Xue Liu
ICE-SEARCH: A Language Model-Driven Feature Selection Approach. CoRR (2024)
Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR (2023)
Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) (2023)
Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD (2023)
Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu
Towards Automated Negative Sampling in Implicit Recommendation. CoRR (2023)
Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
Optimizing Feature Set for Click-Through Rate Prediction. WWW (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
Optimizing Feature Set for Click-Through Rate Prediction. CoRR (2023)
Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR (2023)
Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey. CoRR (2022)
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE (2022)
Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM (2022)
Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR (2022)
Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu
A Survey of Diversification Techniques in Search and Recommendation. CoRR (2022)
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR (2021)
Fuyuan Lyu, Shien Zhu, Weichen Liu
Cross-filter compression for CNN inference acceleration. CoRR (2020)