2002.09-2005.12，------华中科技大学，计算机学院，博士学位 2009.03-2010.04，------新加坡国立大学，计算机学院，访问学者
1. 天津市“项目+团队”重点培养专项, 伟德国际1946bv官网个性化推荐系统研究团队, 2021/01-2023/12, 10万元, 在研, 负责人
2. 国家自然科学基金面上项目, 无线数据广播环境下位置相关Skyline查询问题研究, 2012/01-2015/12, 50万元, 结题, 负责人 3. 国家自然科学基金重大研究计划, 基于大数据技术的互联网产品众筹参与行为研究, 2017/01-2019/12, 47万, 结题，参与人 4. 天津市科技特派员项目, 基于多维推荐服务的个性化学习系统, 2016/10-2017/09, 5万元, 结题, 负责人 5. 天津市自然科学基金, 移动计算环境下支持复杂查询的位置服务系统, 2017/04-2020/03, 10万元，结题, 负责人 6. 天津市自然科学基金, 移动位置服务中时空聚集查询处理方法研究, 2011/10-2014/09, 10万元，结题, 负责人 7. 国家高技术研究发展计划（863计划）, 无缝集成关系数据库系统的纯XML引擎研制与关键技术研究, 2009/09-2010/12, 397万, 结题, 参与人 8. 天津市自然科学基金, 移动计算环境下嵌入式实时数据库故障恢复关键技术研究, 2011/10-2014/09, 10万元, 结题, 负责人 9. 中小企业创新基金, 嵌入式实时数据库管理系统, 2008/04-2010/03, 35万元，结题, 共同负责
(一) SCI期刊论文
[1] Yingyuan Xiao, Chichang Liu, Wenguang Zheng, Hongya Wang, Ching-Hsien Hsu. A feature interaction learning approach for crowdfunding project recommendation. Applied Soft Computing, 112 (2021), 2021, pp.1-8. (中科院 一区) [2] Ke Zhu, Yingyuan Xiao, Wenguang Zheng, Xu Jiao, Chenchen Sun, Ching-Hsien Hsu. Incorporating contextual information into personalized mobile applications recommendation. Soft Computing. 2021, 25(16): 10629-10645. (中科院 三区) [3] Vinothsaravanan Ramakrishnan, Chenniappan Palanisamy, Rajesh Kumar Dhanaraj, Ching-Hsien Hsu, Yingyuan Xiao, Fadi Al-Turjman. Bootstrap aggregative mean shift clustering for big data anti-pattern detection analytics in 5G/6G communication networks. Computers & Electrical Engineering. 2021, 95: 107380. (中科院三区) [4] Wenxin Zhu, Yunyan Song, Yingyuan Xiao. Support vector machine classifier with huberized pinball loss. Engineering Applications of Artificial Intelligence. 2020, 91: 103635. (中科院一区) [5] Hongya Wang, Lihong Yang, Yingyuan Xiao. SETJoin: a novel top-k similarity join algorithm. Soft Computing, 2020, 24(19): 14577-14592. (中科院 三区) [6] Xin Liu, Yingyuan Xiao, Xu Jiao, Wenguang Zheng. A Novel Kalman Filter Based Shilling Attack Detection Algorithm. Mathematical Biosciences and Engineering, 2020, 17(2):1558–1577. (中科院四区) [7] Xu Jiao, Yingyuan Xiao, Wenguang Zheng, Hongya Wang, Ching-Hsien Hsu. A novel next new point-of-interest recommendation system based on simulated user travel decision-making process. Future Generation Computer Systems, 100 (2019): 982-993, 2019. (中科院一区, Top期刊) [8] Yingyuan Xiao, Gaowei Wang, Ching-Hsien Hsu, Hongya Wang. A time-sensitive personalized recommendation method based on probabilistic matrix factorization technique. Soft Computing, 2018, 22(20): 6785-6796. (中科院 三区) [9] Wenxin Zhu, Yunyan Song, Yingyuan Xiao. A New Support Vector Machine Plus with Pinball Loss. Journal of Classification, 2018, 35(1): 52-70. (中科院四区) [10] Kejing Lu, Hongya Wang, Yingyuan Xiao, Hui Song. Why locality sensitive hashing works: A practical perspective. Information Processing Letters, 2018, 136: 49-58. (中科院 四区) [11] Yingyuan Xiao, Pengqiang Ai, Ching-Hsien Hsu. Time-Ordered Collaborative Filtering for News Recommendation. China Communications, 2015, 12(12): 53-62. (中科院 三区) [12] Hongya Wang, LihChyun Shu, Wei Yin, Yingyuan Xiao, Jiao Cao. Hyperbolic Utilization Bounds for Rate Monotonic Scheduling on Homogeneous Multiprocessors. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(6): 1510-1521. (中科院二区, CCF A类期刊) [13] Guangquan Xu, Weisheng Li, Rui Xu, Yingyuan Xiao, et al. An algorithm on fairness verification of mobile sink routing in wireless sensor network. Personal and Ubiquitous Computing, 2013, 17: 851–864. (中科院 四区) [14] Hongya Wang, Yingyuan Xiao, LihChyun Shu. Scheduling Periodic Continuous Queries in Real-Time Data Broadcast Environments. IEEE Transactions on Computers, 2012, 61(9):1325-1340. (中科院二区, CCF A类期刊) [15] Guangquan Xu, S. Pang, H. Gao, Yingyuan Xiao, et al. State/Action-based Fairness Verification for Non-determinism. Chinese Journal of Electronics, 2011, 20(4):603-606. (中科院四区) [16] Yingyuan Xiao, Yueguo Chen. Efficient distributed skyline queries for mobile applications. Journal of Computer Science and Technology, 2010, 25(3): 523-536. (中科院四区, CCF B类期刊) (二) CCF推荐的A类、B类会议论文 [17] Xu Jiao, Yingyuan Xiao, Wenguang Zheng, Hongya Wang. R2SIGTP: a Novel Real-Time Recommendation System with Integration of Geography and Temporal Preference for Next Point-of-Interest. WWW, 2019: 3660-3663. [18] Zhixin Wang, Yingyuan Xiao, Chenchen Sun, et al. Location-Aware Feature Interaction Learning for Web Service Recommendation. ICWS, 2020: 232-239. [19] Yongliang Han, Yingyuan Xiao, Hongya Wang, et al. DFILAN: Domain-Based Feature Interactions Learning via Attention Networks for CTR Prediction. DASFAA, 2021: 500-515. [20] Yingyuan Xiao, Pengqiang Ai, Hongya Wang, et al. ENRS: An Effective Recommender System Using Bayesian Model. DASFAA, 2015: 531-535. [21] Yukun Li, Xiyan Zhao, Yingyuan Xiao, Xiaoye Wang. Searching Desktop Files Based on Access Logs. DASFAA, 2013: 267-274. [22] GuoQiong Liao, Yunsheng Liu, Yingyuan Xiao. Time-Cognizant Recovery Processing for Embedded Real-Time Databases. DASFAA, 2005: 863-874. 更多论文见我的DBLP：https://dblp.uni-trier.de/pid/18/5449.html (三) 中文学报论文 [23] 孙琛琛, 李玉坤, 肖迎元, 申德荣. 时间约束的实体解析中记录对排序研究. 软件学报, 2020, 31(3): 695−709. [24] 焦旭, 肖迎元, 郑文广, 朱珂. 基于位置的社会化网络推荐技术研究进展. 计算机研究与发展, 2018, 55(10): 2291-2306. [25] 肖迎元, 申艳, Kevin Lü. 支持工程设计的语义层次事务模型及提交机制. 系统仿真学报, 2009, 21(24): 7925-7929. [26] 肖迎元, 刘云生, 廖国琼等. 一种实时动态数据库故障恢复策略. 软件学报，2007, 18(10)：2516-2527. [27] 肖迎元, 刘云生. 确保时态一致性的实时并发控制协议. 电子学报, 2008, 36(11)：2102-2106. [28] 廖国琼, 刘云生, 肖迎元. 实时内存数据库分区模糊检验点策略. 计算机研究与发展, 2006, pp.1291-1296. [29] 肖迎元, 刘云生, 邓华锋, 廖国琼. 一种分布式实时内存数据库的系统故障恢复模式. 华中科技大学学报, 2006, pp. 39-42. [30] 肖迎元, 刘云生, 廖国琼. 分布式实时事务一阶段实时提交. 华中科技大学学报, 2006, pp. 1-4.
1. 入选天津市高校中青年骨干创新人才培养计划 (新加坡国立大学访问学者资助计划)
2. 入选天津市“项目+团队”重点培养专项 3. 荣获天津市科技进步二等奖: "无缝游牧主动服务策略(与系统)及其在移动环境中的应用", 2017 （排名第5） 4. 荣获天津市科技进步三等奖: "移动计算环境下嵌入式实时数据库故障恢复关键技术研究", 2016 （排名第1） 5. 荣获天津市科技进步三等奖: "主动伺候式无缝游牧服务系统", 2012 （排名第2） 6. 荣获天津市科技进步二等奖: "主动型入侵防御系统", 2011 （排名第7）
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