徐扬
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。现为山东师范大学信息科学与工程学院副教授，硕士生导师，人工智能系副主任，科研秘书。
Email / Google Scholar / DBLP
项目
面向大规模推荐的哈希表示学习研究
随着互联网数据的爆炸式增长，如何实现高效推荐已成为学术界和工业界共同关注的核心问题。哈希技术作为支撑高效推荐的重要手段，通常面临三大现实挑战：推荐系统伴随海量快速增长的多模态数据（如用户交互记录、评论和商品描述），且用户兴趣分布其中，但现有哈希推荐方法未能充分考虑这些特性，导致在用户兴趣的哈希表示、哈希码在线更新以及可解释性方面存在显著缺陷。为解决这些问题并充分考量推荐系统的实际需求，本研究将探索面向大规模推荐的高效哈希表示学习方法。首先，提出基于多模态数据融合的用户兴趣哈希表示方法，通过高效离散优化从多模态数据中挖掘潜在价值；其次，设计哈希码在线更新机制，借助在线哈希学习实现实时更新；最后，构建可解释哈希码学习方法，在利用哈希码完成推荐的同时为结果生成语义化解释。本研究将从理论和实践层面推动哈希推荐方法的发展，并为大规模推荐系统提供关键技术支撑。
基于多源数据的用户兴趣动态建模方法研究
用户兴趣挖掘是为用户提供个性化服务的关键。现有研究主要关注用户兴趣特征提取和兴趣时效性建模，尚未有研究从兴趣自我发展视角对用户兴趣的倒U型发展规律与迁移规律进行建模。本项目结合心理学研究成果，融合多源数据解析用户行为特征，设计用户兴趣倒U型发展规律与兴趣迁移规律的建模方法。该方法主要基于以下两个思路设计：1）引入深度学习框架融合多模态数据，设计基于多视图融合聚类的兴趣识别算法，提出基于倒U型曲线的用户兴趣动态发展模型增量学习算法；2）设计时间连续的行为聚类算法以识别用户兴趣片段，提出基于注意力机制的多模态LSTM方法建模兴趣迁移规律。基于公开数据集，我们设计基于用户模型的推荐框架验证用户模型的有效性，并通过消融实验检验模型各模块性能。本研究将从理论和应用层面推动用户兴趣时序建模技术的发展，并为个性化服务系统提供核心算法支撑。
多模态内容感知的POI推荐关键技术研究
随着美团、大众点评等消费社交平台的快速发展，兴趣点（POI）推荐系统已成为实体零售消费的重要入口，是各大商业平台的核心技术。近年来，实际POI推荐场景呈现出用户空间移动受限、商铺更替加速、消费决策更审慎等特点，导致用户签到数据稀疏、新POI推荐困难、推荐结果缺乏可解释性等严峻挑战。现有POI推荐方法仅关注时空上下文数据，忽视了POI丰富的多模态内容信息，难以有效应对上述挑战。因此，本项目创新性地引入POI多模态内容信息，围绕POI多模态内容与上下文建模、冷热协同的POI推荐模型、通用的POI推荐多模态解释框架三个关键方向展开深入研究，重点解决多模态知识融合表示、冷热POI协同增强、推荐结果多模态解释生成等关键科学问题。本项目将显著推动POI推荐系统的理论探索与实践应用，提升消费者决策效率，激发消费潜力，促进经济发展。
论文
- 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, 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) - 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)
AAAI Conference on Artificial Intelligence (AAAI'23 24)
ACM International Conference on Multimedia (ACM MM'22 23 24)
ACM International Conference on Information and Knowledge Management (CIKM'21 22 23 24 25)
ACM International Conference on Web Search and Data Mining (WSDM'26)
IEEE International Conference on Data Mining (ICDM'25)
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)
IEEE International Conference on Big Data (IEEE BigData'25)
期刊评审
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Big Data
IEEE Transactions on Computational Social Systems
Information Fusion
Information Processing & Management
Knowledge-Based Systems
Expert Systems With Applications
Journal of Intelligent Manufacturing
International Journal of Human-Computer Studies
Neurocomputing
Science China Information Sciences
Neural Processing Letters
Soft Computing
ACM Transactions on Asian and Low-Resource Language Information Processing