Cross-filter compression for CNN inference acceleration. - Fuyuan Lyu; Shien Zhu; Weichen Liu (CoRR, 2020)

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. - Fuyuan Lyu; Xing Tang 007; Hong Zhu 003; Huifeng Guo; Yingxue Zhang 001; Ruiming Tang; Xue Liu 001 (CIKM, 2022)

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. - Fuyuan Lyu; Xing Tang 007; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003; Xue Liu 001 (ICDE, 2022)

Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey. - Yuecai Zhu; Fuyuan Lyu; Chengming Hu; Xi Chen 009; Xue Liu 001 (CoRR, 2022)

A Survey of Diversification Techniques in Search and Recommendation. - Haolun Wu; Yansen Zhang; Chen Ma 001; Fuyuan Lyu; Fernando Diaz 001; Xue Liu 001 (CoRR, 2022)

Explicit Feature Interaction-aware Uplift Network for Online Marketing. - Dugang Liu; Xing Tang 007; Han Gao; Fuyuan Lyu; Xiuqiang He 001 (KDD, 2023)

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Weihong Luo; Liang Chen 009; Xiuqiang He 001; Xue (Steve) Liu (NeurIPS, 2023)

OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. - Xing Tang 007; Yang Qiao; Yuwen Fu; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (ECML/PKDD (6), 2023)

Optimizing Feature Set for Click-Through Rate Prediction. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Liang Chen 009; Xiuqiang He 001; Xue Liu 001 (WWW, 2023)

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Haolun Wu; Chen Ma 001; Xiuqiang He 001; Xue Liu 001 (CoRR, 2023)

Towards Automated Negative Sampling in Implicit Recommendation. - Fuyuan Lyu; Yaochen Hu 001; Xing Tang 007; Yingxue Zhang 001; Ruiming Tang; Xue Liu 001 (CoRR, 2023)

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. - Yunpeng Weng; Xing Tang 007; Zhenhao Xu; Fuyuan Lyu; Dugang Liu; Zexu Sun; Xiuqiang He 001 (CIKM, 2024)

Collaborative Performance Prediction for Large Language Models. - Qiyuan Zhang; Fuyuan Lyu; Xue Liu 001; Chen Ma 001 (EMNLP, 2024)

Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. - Xing Tang 007; Yang Qiao; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (RecSys, 2024)

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. - Dugang Liu; Chaohua Yang; Xing Tang 007; Yejing Wang; Fuyuan Lyu; Weihong Luo; Xiuqiang He 001; Zhong Ming 001; Xiangyu Zhao 001 (WSDM, 2024)

ICE-SEARCH: A Language Model-Driven Feature Selection Approach. - Tom Tianze Yang; Tim Tianyi Yang; Shaoshan Liu; Fuyuan Lyu; Xue Liu 001 (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)

Mixed-Precision Embeddings for Large-Scale Recommendation Models. - Shiwei Li 002; Zhuoqi Hu; Fuyuan Lyu; Xing Tang 007; Haozhao Wang; Shijie Xu; Weihong Luo; Yuhua Li 003; Xue Liu 001; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2024)

Result Diversification in Search and Recommendation: A Survey. - Haolun Wu; Yansen Zhang; Chen Ma 001; Fuyuan Lyu; Bowei He; Bhaskar Mitra 001; Xue Liu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. - Qiyuan Zhang; Yufei Wang 005; Yuxin Jiang; Liangyou Li; Chuhan Wu; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma 001 (ACL (1), 2025)

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. - Qiyuan Zhang; Yufei Wang 005; Tiezheng Yu; Yuxin Jiang; Chuhan Wu; Liangyou Li; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma 001 (ICLR, 2025)

Scenario Shared Instance Modeling for Click-through Rate Prediction. - Dugang Liu; Chaohua Yang; Yuwen Fu; Xing Tang 007; Gongfu Li; Fuyuan Lyu; Xiuqiang He 001; Zhong Ming 001 (KDD (1), 2025)

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001; Chen Ma 001 (SIGIR, 2025)

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. - Kexin Zhang 007; Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Kaize Ding; Xiuqiang He 001; Xue Liu 001 (WSDM, 2025)

A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. - Xing Tang 007; Yunpeng Weng; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (CoRR, 2025)

What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models. - Qiyuan Zhang; Fuyuan Lyu; Zexu Sun; Lei Wang; Weixu Zhang; Zhihan Guo; Yufei Wang; Irwin King; Xue Liu; Chen Ma 001 (CoRR, 2025)

Timing is important: Risk-aware Fund Allocation based on Time-Series Forecasting. - Fuyuan Lyu; Linfeng Du; Yunpeng Weng; Qiufang Ying; Zhiyan Xu; Wen Zou; Haolun Wu; Xiuqiang He 001; Xing Tang 007 (CoRR, 2025)