Fuyuan Lyu

According to our database, Fuyuan Lyu authored at least 36 papers between 2020 and 2026.

Collaborative distances:

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

2026

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation.

Xing Tang, Jingyang Bin, Ziqiang Cui, Xiaokun Zhang, Fuyuan Lyu, Jingyan Jiang, Dugang Liu, Chen Ma, Xiuqiang He

CoRR, April, 2026

Beyond Message Passing: A Semantic View of Agent Communication Protocols.

Dun Yuan, Fuyuan Lyu, Ye Yuan, Weixu Zhang, Bowei He, Jiayi Geng, Linfeng Du, Zipeng Sun, Yankai Chen, Changjiang Han, Jikun Kang, Xi Chen, Haolun Wu, Xue Liu

CoRR, April, 2026

The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project.

Huamin Chen, Xunzhuo Liu, Bowei He, Fuyuan Lyu, Yankai Chen, Xue Liu, Yuhan Liu, Junchen Jiang

CoRR, March, 2026

RubricBench: Aligning Model-Generated Rubrics with Human Standards.

Qiyuan Zhang, Junyi Zhou, Yufei Wang, Fuyuan Lyu, Yidong Ming, Can Xu, Qingfeng Sun, Kai Zheng, Peng Kang, Xue Liu, Chen Ma

CoRR, March, 2026

Give Users the Wheel: Towards Promptable Recommendation Paradigm.

Fuyuan Lyu, Chenglin Luo, Qiyuan Zhang, Yupeng Hou, Haolun Wu, Xing Tang, Xue Liu, Jin L. C. Guo, Xiuqiang He

CoRR, February, 2026

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization.

Linfeng Du, Ye Yuan, Zichen Zhao, Fuyuan Lyu, Emiliano Penaloza, Xiuying Chen, Zipeng Sun, Jikun Kang, Laurent Charlin, Xue Liu, Haolun Wu

CoRR, January, 2026

Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA.

Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Weihong Luo, Xiku Du, Xiuqiang He

Proceedings of the ACM Web Conference 2026, 2026

2025

Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation.

Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang, Xiuqiang He, Xue Liu

CoRR, December, 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

CoRR, March, 2025

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models.

Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems.

Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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, Xing Tang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Scenario Shared Instance Modeling for Click-through Rate Prediction.

Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction.

Xing Tang, Chaohua Yang, Yuwen Fu, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References.

Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation.

Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the Database Systems for Advanced Applications, 2025

Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge.

Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

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

Collaborative Performance Prediction for Large Language Models.

Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction.

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

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