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
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations
Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui
WWW 2024 (CCF-A) | code
- 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)
- 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)
- On evaluation metrics for diversity-enhanced recommendations
Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang, Kenli Li
CIKM 2024 (CCF-B)
- 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)
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Cross-Domain Recommendation for Mapping Sentiment Review Pattern
Yang Xu, Zhaohui Peng, Yupeng Hu, Xiaoguang Hong, Wenjing Fu
KSEM 2018 (CCF-C) | paper
- 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
- 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
- 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
- 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
- 2022, ACM ICMR Outstanding Reviewer Award
- 2017, Scientific Research Outstanding Achievement Award
- 2016, The First Prize Academic Scholarship
- 2011, National Scholarship for Graduate Students
- 2010, National Encouragement Scholarship for Graduate Students