publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. SIGIR
    CoLaKG: Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
    Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, and Chen Ma
    In SIGIR, 2025
    arXiv
  2. CoRR
    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, and Chen Ma
    In CoRR, 2025
    arXiv
  3. ICLR-FinAI
    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, and Xing Tang
    In ICLR-FinAI, 2025
    Code Proceeding
  4. DASFAA
    A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
    Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, and Xiuqiang He
    In DASFAA, 2025
    arXiv
  5. ICLR
    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, and 2 more authors
    In ICLR, 2025
    arXiv Proceeding
  6. KDD
    Scenario Shared Instance Modeling for Click-through Rate Prediction
    Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, and Zhong Ming
    In KDD, 2025
  7. WSDM
    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, and Xue Liu
    In WSDM, 2025
    arXiv Code Proceeding Poster

2024

  1. EMNLP
    Collaborative Performance Prediction for Large Language Models
    Qiyuan Zhang, Fuyuan Lyu, Xue Liu, and Chen Ma
    In EMNLP, 2024
    arXiv Code Proceeding Poster Slides Video
  2. Recsys
    Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
    Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, and Xiuqiang He
    In Recsys, 2024
    arXiv Code Proceeding
  3. CIKM
    OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
    Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, and Xiuqiang He
    In CIKM, 2024
    Proceeding
  4. CoRR
    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, and Liangzhu Wang
    In CoRR, 2024
    arXiv
  5. WSDM
    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, and Xiangyu Zhao
    In WSDM, 2024
    Proceeding
  6. TKDE
    Result Diversification in Search and Recommendation: A Survey
    Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, and Xue Liu
    In TKDE, 2024
    arXiv Proceeding

2023

  1. CoRR
    Towards Automated Negative Sampling in Implicit Recommendation
    Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, and Xue Liu
    In CoRR, 2023
    arXiv
  2. NeurIPS
    Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
    Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Xiuqiang He, and Xue Liu
    In NeurIPS, 2023
    arXiv Code Slides
  3. ECML-PKDD
    OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction
    Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, and Xiuqiang He
    In ECML-PKDD, 2023
    arXiv Proceeding
  4. KDD
    Explicit Feature Interaction-aware Uplift Network for Online Marketing
    Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, and Xiuqiang He
    In KDD, 2023
    arXiv Proceeding Video
  5. CoRR
    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, and Xue Liu
    In CoRR, 2023
    arXiv
  6. WWW
    Optimizing Feature Set for Click-Through Rate Prediction
    Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Liang, Xiuqiang He, and Xue Liu
    In WWW, 2023
    arXiv Code Proceeding Slides Video

2022

  1. CoRR
    A Survey of Diversification Metrics and Approaches in Retrieval Systems: From the Perspective of Search and Recommendation
    Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, and Xue Liu
    In CoRR, 2022
    arXiv
  2. CIKM
    Learning Optimal Embedding Table for Click-through Rate Prediction
    Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, and Xue Liu
    In CIKM, 2022
    arXiv Code Proceeding Slides
  3. ICDE
    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, and Xue Liu
    In ICDE, 2022
    arXiv Code Proceeding Poster Slides Video
  4. CoRR
    Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
    Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, and Xue Liu
    In CoRR, 2022
    arXiv