徐扬
徐扬个人照片

徐扬 Yang Xu

副教授 · 硕士生导师

山东师范大学 · 计算机与人工智能学院

徐扬,1990年2月出生,山东潍坊人,中共党员,2018年12月毕业于山东大学计算机科学与技术学院软件工程专业,获工学博士学位。2023年2月至2024年6月获外方资助赴新加坡南洋理工大学从事博士后工作。现为山东师范大学计算机与人工智能学院副教授,硕士生导师,人工智能系副主任,科研秘书。

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项目

国家自然科学基金青年项目

面向大规模推荐的哈希表示学习研究

本项目面向大规模推荐对高效哈希表示学习的需求,针对多模态用户兴趣建模不足、哈希码更新滞后、推荐结果可解释性差等问题,研究多模态数据融合的用户兴趣哈希表示、哈希码在线更新与可解释哈希码学习方法,为大规模推荐系统提供高效、动态、可解释的技术支撑。

山东省自然科学基金青年项目

基于多源数据的用户兴趣动态建模方法研究

本项目面向个性化服务对用户兴趣动态建模的需求,针对现有方法难以刻画兴趣发展与迁移规律的问题,结合心理学研究成果,融合多源数据,研究基于多视图融合的兴趣识别、倒U型兴趣发展建模与多模态兴趣迁移建模方法,为用户兴趣时序建模与个性化推荐提供支撑。

山东省自然科学基金面上项目

多模态内容感知的POI推荐关键技术研究

本项目面向实体零售与本地生活服务的兴趣点(POI)推荐需求,针对用户签到数据稀疏、新POI推荐困难、推荐结果可解释性不足等问题,融合POI多模态内容与时空上下文,研究多模态知识融合表示、冷热POI协同增强与推荐结果多模态解释生成方法,提升推荐效果与消费者决策效率。

山东省重点研发计划

垂直领域大模型技术研发与应用——定量遥感大模型

本项目面向农业、生态、海洋经济等行业对定量遥感的迫切需求,针对当前定量遥感大模型物理机理约束不足、可解释性差、泛化能力弱、部署困难等问题,提出构建具备物理可解释性、语义通用性与边缘部署适配能力的定量遥感大模型体系。

论文

  1. EffiPOI: A Product Quantization Framework Based on Knowledge Distillation for Efficient POI Recommendations
    Chengmei Peng, Yang Xu*, Lei Zhu, Fengling Li, Huaxiang Zhang, Zhigang Ma
    ACM Transactions on Information Systems (TOIS), 2026 (Corresponding author, CCF-A, Q1 Journal, IF: 9.1)
  2. Prompt-Enhanced Multi-Modal Cross-Region POI Recommendations
    Chengmei Peng, Yang Xu*, Lei Zhu, Fengling Li, Huaxiang Zhang, Zhigang Ma
    IEEE Transactions on Multimedia (TMM), 2026 (Corresponding author, CCF-A, Q1 Journal, IF: 9.7)
  3. IMMPOI: An Interest-Aware Multimodal Adaptive Fusion Framework for POI Recommendations
    Zunlong Liu, Yang Xu*, Lei Zhu, Jingwei Ma, Jingjing Li
    IEEE Transactions on Multimedia (TMM), 2025 (Corresponding author, CCF-A, Q1 Journal, IF: 9.7)
  4. ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation
    Zunlong Liu, Yang Xu*, Gao Cong, Lei Zhu, Qinjun Qiu, Huaxiang Zhang
    ACM Transactions on Information Systems (TOIS), 2025 (Corresponding author, CCF-A, Q1 Journal, IF: 9.1)
  5. GANPOI: A Multi-factor Generative Adversarial Framework for POI Recommendation
    Yarong Yu, Yang Xu*, Lei Zhu, Jingwei Ma, Fengling Li
    Expert Systems with Applications (ESWA), 2025 (Corresponding author, Q1 Journal, IF: 7.5)
  6. HGDNet: De-noised Review-based Rating Prediction using Hierarchical Gating and Discriminative Networks
    Jingwei Ma, Jiahui Wen, Lei Zhu, Mingyang Zhong, Yang Xu, Lei Guo, Hongzhi Yin
    ACM Transactions on Information Systems (TOIS), 2025 (CCF-A, Q1 Journal, IF: 9.1)
  7. MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations
    Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui
    WWW 2024 (CCF-A) | code
  8. FUMMER: A Fine-grained Self-supervised Momentum Distillation Framework for Multimodal Recommendation
    Yibiao Wei, Yang Xu*, Lei Zhu, Jingwei Ma, Jiangping Huang
    Information Processing & Management (IPM), 2024 (Corresponding author, Q1 Journal, IF: 8.6)
  9. Multi-level Cross-modal Contrastive Learning for Review-aware Recommendation
    Yibiao Wei, Yang Xu*, Lei Zhu, Jingwei Ma, Chengmei Peng
    Expert Systems with Applications (ESWA), 2024 (Corresponding author, Q1 Journal, IF: 8.5)
  10. On evaluation metrics for diversity-enhanced recommendations
    Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang, Kenli Li
    CIKM 2024 (CCF-B)
  11. Temporal Social Graph Hashing for Efficient Recommendation
    Yang Xu, Lei Zhu, Jingjing Li, Fengling Li, Heng Tao Shen
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 (CCF-A, Q1 Journal, IF: 9.235)
  12. Explainable discrete Collaborative Filtering
    Lei Zhu, Yang Xu*, Jingjing Li, Weili Guan, Zhiyong Cheng
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 (Corresponding author, CCF-A, Q1 Journal, IF: 9.235) | paper
  13. Deep Discrete Hashing for Label Distribution Learning
    Zhen Zhang, Lei Zhu, Yaping Li, Yang Xu*
    IEEE Signal Processing Letters, 2021 (Corresponding author, CCF-C, Q1 Journal, IF: 3.201) | paper
  14. Binary multi-modal matrix factorization for fast item cold-start recommendation
    Chengmei Peng, Lei Zhu, Yang Xu*, Yaping Li, Lei Guo
    Neurocomputing, 2021 (Corresponding author, CCF-C, Q1 Journal, IF: 5.779) | paper | matlab code
  15. Multi-modal discrete collaborative filtering for efficient cold-start recommendation
    Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Zheng Zhang, Huaxiang Zhang
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 (CCF-A, Q1 Journal, IF: 9.235) | paper | matlab code
  16. Temporal representation learning for time series classification
    Yupeng Hu, Peng Zhan, Yang Xu, Jia Zhao, Yujun Li, Xueqing Li
    Neural Computing and Applications (CCF-C, Q1 Journal, IF: 5.102) | paper
  17. Long short-term memory with sequence completion for cross-domain sequential recommendation
    Guang Yang, Xiaoguang Hong, Zhaohui Peng, Yang Xu
    APWeb-WAIM 2020 (CCF-C) | paper
  18. Multi-feature discrete collaborative filtering for fast cold-start recommendation
    Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun
    AAAI 2020 (CCF-A) | paper
  19. Deeply fusing reviews and contents for cold start users in cross-domain recommendation systems
    Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li
    AAAI 2019 (CCF-A) | paper
  20. Feature-based online segmentation algorithm for streaming time series
    Peng Zhan, Yupeng Hu, Wei Luo, Yang Xu, Qi Zhang, Xueqing Li
    CollaborateCom'18 (CCF-C) | paper
  21. SARFM: A Sentiment-Aware Review Feature Mapping Approach for Cross-Domain Recommendation
    Yang Xu, Zhaohui Peng, Yupeng Hu, Xiaoguang Hong
    WISE 2018 (CCF-C) | paper
  22. Cross-Domain Recommendation for Mapping Sentiment Review Pattern
    Yang Xu, Zhaohui Peng, Yupeng Hu, Xiaoguang Hong, Wenjing Fu
    KSEM 2018 (CCF-C) | paper
  23. HOMMIT: A Sequential Recommendation for Modeling Interest-Transferring via High-Order Markov Model
    Yang Xu, Xiaoguang Hong, Zhaohui Peng, Yupeng Hu, Guang Yang
    WISE 2017 (CCF-C) | paper
  24. Efficient snapshot KNN join processing for large data using mapreduce
    Yupeng Hu, Chong Yang, Cun Ji, Yang Xu, Xueqing Li
    ICPADS 2016 (CCF-C) | paper
  25. Temporal recommendation via modeling dynamic interests with inverted-U-curves
    Yang Xu, Xiaoguang Hong, Zhaohui Peng, Guang Yang, Philip S Yu
    DASFAA 2016 (CCF-B) | paper
  26. Relevance search on signed heterogeneous information network based on meta-path factorization
    Min Zhu, Tianchen Zhu, Zhaohui Peng, Guang Yang, Yang Xu, Senzhang Wang, Xiangwei Wang, Xiaoguang Hong
    WAIM 2015 (CCF-C) | paper

服务

程序委员会

    ACM International Conference on Research and Development in Information Retrieval (SIGIR'23 24 25 26)

    The Web Conference (WWW'26)

    ACM International Conference on Multimedia (ACM MM'22 23 24 26)

    AAAI Conference on Artificial Intelligence (AAAI'23 24 27)

    ACM International Conference on Information and Knowledge Management (CIKM'21 22 23 24 25 26)

    ACM International Conference on Web Search and Data Mining (WSDM'26 27)

    IEEE International Conference on Data Mining (ICDM'25 26)

    European Conference on Artificial Intelligence (ECAI'24 25)

    ACM International Conference on Multimedia Retrieval (ICMR'22)

    ACM SIGIR Conference within the Asia-Pacific region (SIGIR-AP'23 24 25)

    ACM Multimedia Asia (MMAsia'21 22 23 24 25 26)

    IEEE International Conference on Big Data (IEEE BigData'25 26)

    International Conference on Database Systems for Advanced Applications (DASFAA'27)

    International Conference on Image and Graphics (ICIG'26)

期刊评审

    IEEE Transactions on Knowledge and Data Engineering

    IEEE Transactions on Big Data

    IEEE Transactions on Computational Social Systems

    Information Fusion

    Science China Information Sciences

    Information Processing & Management

    Knowledge-Based Systems

    Expert Systems With Applications

    Journal of Intelligent Manufacturing

    International Journal of Human-Computer Studies

    Neurocomputing

    Neural Processing Letters

    Soft Computing

    ACM Transactions on Asian and Low-Resource Language Information Processing

奖励