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Xiaoyu Shi (史晓雨) |
Biography
I received a Ph.D. degree in Computer Science from the University of Electronic Science and Technology, Chengdu, China in 2015. I was a visiting scholar from October 2012 to October 2014 at the University of Tennessee, USA. Currently, I work at the Chongqing Institute of Green and Intelligent Technology (CIGIT), Chinese Academy of Sciences (CAS) as an Associate Professor. I was selected for the "Youth Innovation Promotion Association" of the Chinese Academy of Sciences and the "Western Light of the West Young Scholars" program of the Chinese Academy of Sciences. Google Scholar cited by more than 300, H-Index 10. My research interests include:-
| Trustworthy Machine Learning |Data
Mining |Recommendation
Systems
|Resource Scheduling |Reinforcement Learning |Big Data Analysis
News
- [2024.05] Our paper “Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation” is accepted by ICWS 2024 (CCF推荐B类会议).
- [2024.01] One paper “Maximum Entropy Policy for Long-term Fairness in Interactive Recommender Systems” is accepted by IEEE TSC (CCF推荐A类期刊, IF: 8.1).
- [2023.09] One paper “Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach” is accepted by ACM TOIS (CCF推荐A类期刊, IF: 5.6).
- [2023.07] Our paper “Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems” is accepted by IEEE TKDE (CCF推荐A类期刊, IF: 8.412).
- [2023.06] Our paper “Graph neural networks via contrast between separation and aggregation for self and neighborhood” is accepted by ESWA (中科院一区, IF: 8.9).
- [2023.05] Our paper “Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach” is accepted by ICWS 2023 (CCF推荐B类会议).
- [2023.05] Our paper “Neighbor Importance-aware Graph Collaborative Filtering for Item Recommendation” is accepted by Neurocomputing (中科院二区, IF: 6).
- [2023.04] Our paper “A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads” is accepted by DASFAA 2023 (CCF推荐B类会议).
- [2022.04] Our paper "RTiSR: a review-driven time interval-aware sequential recommendation method" is accepted by Jounral of Big Data (中科院二区, IF:8.3).
Selected Publications
(Full list see my [Google Scholar])2024:
- Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang, Maximum Entropy Policy for Long-term Fairness in Interactive Recommender Systems, IEEE Transactions on Services Computing, DOI: 10.1109/TSC.2024.3349636, Jan. 2024(CCF-A类期刊, 中科院二区, IF 8.1) [PDF]
2023:
- Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang, Maximum Entropy Policy for Long-term Fairness in Interactive Recommender Systems, IEEE Transactions on Services Computing, DOI: 10.1109/TSC.2024.3349636, Jan. 2024(CCF-A类期刊, 中科院二区, IF 8.1) [PDF]
- Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian, Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach, Vol. 42, No. 2, ACM Transactions on Information Systems (TOIS), (CCF-A类期刊, 中科院二区, IF 5.6) [PDF]
- Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang. Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2023.3292352. (CCF-A类期刊, 中科院二区, IF 8.412) [PDF]
- Xiaoyu Xu, Xiaoyu Shi, and Mingsheng Shang. Graph neural networks via contrast between separation and aggregation for self and neighborhood. Expert Systems with Applications, vol. 224, p. 119994, 2023. (CCF-C类期刊, 中科院一区, IF 8.412) [PDF]
- Xiaoyu Shi, Quanling Liu and Mingsheng Shang. Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. IEEE International Conference on Web Services (ICWS 2023). (CCF-B类会议) [PDF]
- Bingchao Wang, Xiaoyu Shi*, and Mingsheng Shang. A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads. in International Conference on Database Systems for Advanced Applications (DASFAA), 2023, pp. 588–603. (CCF-B类会议) [PDF]
- Qingxian Wang, Suqiang Wu, Yanan Bai, Quanliang Liu, and Xiaoyu Shi*. Neighbor Importance-aware Graph Collaborative Filtering for Item Recommendation. Neurocomputing, p. 126429, 2023. (中科院二区, IF:6) [PDF]
- Xiaoyu Shi, Quanliang Liu, Yanan Bai, and Mingsheng Shang. RTiSR: a review-driven time interval-aware sequential recommendation method. Journal of Big Data, vol. 10, no. 1, p. 32, 2023. (中科院二区, IF:7.914) [PDF]
2022:
- Xiaoyu Shi, Qiang He, Xin Luo, Yanan Bai, and Mingsheng Shang. Large-scale and scalable latent factor analysis via distributed alternative stochastic gradient descent for recommender systems. IEEE Transactions on Big Data vol. 8, no. 2, p. 420–431, 2022. (中科院二区, IF: 7.031) [PDF]
- Zihui Zhao, Xiaoyu Shi*, and Mingsheng Shang. Performance and cost-aware task scheduling via deep reinforcement learning in cloud environment. in International Conference on Service-Oriented Computing, 2022, pp. 600–615. (CCF推荐B类会议) [PDF]
- Hao Liu, Hezhe Qiao, Xiaoyu Shi*, and Mingsheng Shang. Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation. in 2022 International Joint Conference on Neural Networks (IJCNN), 2022, pp. 1–8. (CCF推荐C类会议) [PDF]
2021:
- Tianqi Shang, Xinxin Li, Xiaoyu Shi*, and Qingxian Wang. Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2021, pp. 524–536. (CCF推荐C类会议) [PDF]
2020:
- Chonghao Zhao, Xiaoyu Shi*, Mingsheng Shang, and Yiqiu Fang. A clustering-based collaborative filtering recommendation algorithm via deep learning user side information. In Web Information Systems Engineering–WISE 2020: 21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, pp. 331–342. (CCF推荐C类会议) [PDF]
2019:
- Qianqian Ji, Xiaoyu Shi*, and Mingsheng Shang. A deep temporal collaborative filtering recommendation framework via joint learning from long and short-term effects. In 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), IEEE, 2019, pp. 959–966. (CCF推荐C类会议) [PDF]
- Longyu Ran, Xiaoyu Shi*, and Mingsheng Shang. SLAs-aware online task scheduling based on deep reinforcement learning method in cloud environment. In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), IEEE, 2019, pp. 1518–1525. (CCF推荐C类会议) [PDF]
- Qingxian Wang, Binbin Peng, Xiaoyu Shi, Tianqi Shang, and Mingsheng Shang. DCCR: Deep collaborative conjunctive recommender for rating prediction. IEEE Access, vol. 7, p. 60186–60198, 2019. (中科院三区, IF 4.1) [PDF]
- Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, and Huaqiang Yuan. Elastic-net regularized latent factor analysis-based models for recommender systems. Neurocomputing, vol. 329, p. 66–74, 2019. (中科院二区, IF: 6) [PDF]
2018:
- Wenhong Tian, Majun He, Wenxia Guo, Wenqiang Huang, Xiaoyu Shi, Mingsheng Shang, Adel Nadjaran Toosi, and Rajkumar Buyya. On minimizing total energy consumption in the scheduling of virtual machine reservations. Journal of Network and Computer Applications, vol. 113, p. 64–74, 2018. (中科院二区, IF 8.627) [PDF]
- Qingxian Wang, Xin Luo, Yan Li, Xiaoyu Shi, Liang Gu, and Mingsheng Shang. Incremental Slope-one recommenders. Neurocomputing, vol. 272, p. 606–618, 2018. (中科院二区, IF 6) [PDF]
2017 and before:
- Xiaoyu Shi, Xin Luo, Mingsheng Shang, and Liang Gu. Long-term performance of collaborative filtering based recommenders in temporally evolving systems. Neurocomputing, vol. 267, p. 635–643, 2017. (中科院二区, IF 6) [PDF]
- Xiaoyu Shi, Mingsheng Shang, Xin Luo, Abbas Khushnood, and Jian Li. Long-term effects of user preference-oriented recommendation method on the evolution of online system. Physica A: Statistical Mechanics and its Applications, vol. 467, p. 490–498, 2017. (中科院二区, IF 3.303) [PDF]
- Xiaoyu Shi, Jin Dong, Seddik M Djouadi, Yong Feng, Xiao Ma, and Yefu Wang. PAPMSC: power-aware performance management approach for virtualized web servers via stochastic control. Journal of Grid Computing, vol. 14, p. 171–191, 2016. (中科院二区, IF 5.457) [PDF]
Education and Career
- 2015/07-Present Chongqing Institute of Green and Intelligent Technology, CAS. Associate Professor
- 2012/04-2014/04 University of Tennessee, USA. Joint Ph.D. (CSC Scholarship, Supervisor:Prof. Seddik M. Djouadi)
- 2008/09-2015/06 University of Electronic Science and Technology. Ph.D. (Supervisor:Prof. Yong Feng)
- 2003/09-2007/06 PLA Information Engineering University. B.S.
Projects
- 2023/07-2025/07 Exploration and Practice of Cultivating Excellent Computer Students in New Engineering Based on the Combination of Colleges and Universities, Key Project of Graduate Education and Teaching Reform of Chongqing Municipal Education Commission, ¥30,000, PI | 基于院校结合的新工科卓越计算机类学生培养探索与实践，重庆市教委研究生教育教学改革重大项目, 3万元, 项目负责人.
- 2022/01-2024/12 Research on Sequential Recommendation Technology for User Preference Uncertainty, The west light of CAS, ¥500,000, PI | 面向用户偏好不确定性的序列推荐技术研究, 中国科学院西部之光西部青年A计划, 50万元, 项目负责人.
- 2018/01-2021/12 Chongqing Technology Innovation and Application Development Key Project, ¥200,000, Project Lead | 大数据在化合物合成中的应用, 重庆市技术创新与应用发展专项重点项目, 20万元, 课题负责人.
- 2020/03-2020/05 Chongqing Liangjiang New Area Emergency Research Project, ¥200,000, PI | 新冠肺炎药物研发大数据平台关键技术研发, 重庆市两江新区应急科研项目, 20万元, 主持.
- 2019/01-2021/12 Chongqing Key Industry Common Key Technology R&D Project, ¥1,000,000, PI | 服务机器人云服务平台研制与应用, 重庆市智能机器人关键技术研发与产业化重大主题专项, 100万元, 主持.
- 2018/01-2020/12 Chongqing Key Industry Common Key Technology R&D Project, ¥4,000,000, Project Lead | 建筑行业大数据平台建设与应用示范, 重庆市重点产业共性关键技术重点研发项目, 400万元, 课题负责人.
- 2018/01-2018/12 Chongqing Human Resources and Social Security Bureau Overseas Study Returnees Innovation Plan, ¥50,000, PI | 云计算数据中心的高效能调度算法研究, 重庆人社局留学归国人员创新计划, 5万元, 主持.
- 2017/01-2020/12 Chinese Academy of Sciences, ¥800,000, PI | 中科院青年创新会人才计划, 80万元, 主持.
- 2017/01-2019/12 Chinese Academy of Sciences "Light of West China" Program, ¥150,000, PI | 在线大数据系统中个性化推荐算法研究, 中国科学院西部之光西部青年学者计划, 15万元, 主持.
- 2017/01-2019/12 National Natural Science Foundation of China, ¥200,000, PI | 大规模虚拟服务器集群性能与能耗高效自主控制研究, 国家自然科学基金青年基金, 20万元, 主持.
Patents
- 2023/05 史晓雨, 尚明生, 罗梦珍, 白亚男 | 一种面向不平衡文本数据的自分类方法 | CN110609898B.
- 2023/04 史晓雨, 尚明生, 吕元鑫 | 一种混凝土28d抗压强度预测方法 | CN110263431B.
- 2023/03 史晓雨, 冀倩倩, 尚明生 | 一种不完备专利自动标引方法 | CN10976299B.
- 2021/10 史晓雨, 尚明生 | 一种高效能数据中心云服务器资源自主管理方法 | CN201811309819.0.
- 2021/02 王国胤, 董建华, 尚明生, 史晓雨 | 基于邻域粗糙集和PCA融合的数据分类预测方法 | CN71023745.0.
- 2020/11 史晓雨, 尚明生, 吕元鑫, 冉龙宇 | 一种混凝土生产配合比的智能设计方法 | CN201910664792.5.
- 2019/10 尚明生, 史晓雨 | 一种基于用户自主选择的个性化推荐方法和系统 | CN105512183B.
- 2019/07 封丽, 封雷, 史晓雨 | 一种基于用户优先度的遥感分发方法及系统 | CN107104956B.
Services
Editor:
- Associate Editor for Frontiers in Neurorobotics (SCI, IF 2.65)
- Guest Editor for Symmetry-Basel (SCI, IF 2.713)
Membership:
- Program Committee Member for AAAI 2023
- Program Committee Member for ECML-PKDD 2021, 2022
Journal Reviewer:
- IEEE Transactions on Neural Networks and Learning Systems(TNNLS)
- IEEE Transactions on Human-Machine Systems(THMS)
- IEEE Transactions on Intelligent Transportation Systems(TITS)
- IEEE Transactions on Services Computing(TSC)
- IEEE Transactions on Industrial Informatics(TII)
- IEEE Transactions on Computational Social Systems(TCSS)
- IEEE/CAA Journal of Automatica Sinica (JAS)
- Neurocomputing
- Advanced Engineering Informatics
- Swarm and Evolutionary Computation
- European Journal of Operational Research
- International Journal of Intelligent Systems
- Journal of Ambient Intelligence and Humanized Computing
- ......
Webpage template borrows from Qiang Zhang.