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赖永炫 博士/教授 English

软件工程系, 信息学院, 厦门大学

思明南路422号, 思明区, 厦门 361005, 福建, 中国

办公室: 海韵行政楼 A302
传真: 86-592-2580500
Mail：laiyx AT xmu.edu.cn

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简 历

2004年毕业于 中国人民大学 经济信息管理系，2009年毕业于 中国人民大学 计算机系和 数据工程与知识工程教育部重点实验室， 获工学博士学位。 2009年开始在 厦门大学 软件工程系 工作，2013年评为副教授， 2019年评为教授。 2017年9月-2018年9月，在澳大利亚昆士兰大学(University of Queensland)做访问学者。 2019年9月-2020年1月，在厦门大学马来西亚校区授课。 2020年4月-2024年4月，受学校委派赴龙岩挂职，先后担任龙岩人才发展集团 副总经理， 龙岩学院 数学与信息工程学院 院长。

研 究

我的主要研究方向是软件系统、人工智能理论和技术，包括数据分析、机器视觉、智能交通、车载网络、深度学习等； 以及数字技术在企业中的应用，包括数字经济、数据要素、企业数字化转型、区块链技术的应用等。

我主持或完成的课题有:

  1. 基于深度学习的烟包质量视觉云服务系统的研发与应用，横向课题，某烟草工业公司，48.45万元，2023.11-2025.11
  2. 金融统计数据智能服务系统，横向课题，某商业银行，9.8万元，2023.12-2024.12
  3. 区块链实训实验室/应用创新中心，龙岩市政府平台项目，200万元，2023.12-2025.12
  4. 2023J01351，基于强化学习的边缘计算卸载和服务迁移研究，福建省自然科学基金，10万元，2023.08-2026.08
  5. 面向卷烟生产和流程的AI视觉训练平台研究，横向项目，某烟草工业公司，30万元，2022.09-2023.12
  6. 龙岩市惠企政策智能化推送和精准匹配系统，厦门大学龙岩产教融合研究院科技项目，42万元，2021.03-2022.03
  7. 大数据智能分析系统，横向项目，厦门微亚智能科技有限公司，20万元，2021.12- 2022.12
  8. 基于边缘计算的车联网众包感知和数据收集技术研究，广东省自然科学基金，面上项目，10万，2021.1-2023.12
  9. 惠企政策智能化推送和精准匹配系统，厦门大学龙岩产教融合项目，42万，2021.3-2022.3
  10. 61872154，基于雾计算模式的传感云可信数据收集技术，国家自然科学基金，面上项目，64万，2019.1-2022.12，子课题负责人
  11. JCYJ20170818141325209，基于边缘计算模式的交通大数据收集和智能应用研究，深圳市基础研究计划，50万, 2018.3-2021.3
  12. 61672441，车载网络环境下基于雾计算模式的适应性数据收集技术研究，国家自然科学基金，面上项目，63万, 2017.1-2020.12
  13. 2015BAH16F00/2015BAH16F01，大学生创业就业信息门户和非实物交易平台关键技术研发及应用示范，国家科技支撑计划 (与 一品威客网合作)，727万， 2015.1-2017.12
  14. 61202012, 机会无线传感器网络数据收集与分发技术研究, 国家自然科学基金, 23万, 2013.1-2015.12
  15. 2012121030, 机会无线传感器网络数据转发与收集技术, 中央高校基本科研, 50万, 2012.1-2014.12
  16. 2011J05156, 不确定性环境下传感器网络复合事件检测技术研究, 福建省自然科学基金, 3万, 2011.4-2013.9

参与的项目有：

  1. 61303004, 基于关键词的关系数据库查询技术研究, 国家自然科学基金, 23万, 2014.1-2016.12
  2. 3502Z20141009, 厦门市数字文化产业创新服务平台, 厦门市技术重大项目, 500万, 2014.1-2016.6

更多信息，请访问移动计算小组网站.

教 学

主 讲 课 程：

  1. 大数据分析技术 Big Data Analytics
  2. 人工智能导论 Artificial Intelligence
  3. 中间件技术 Middleware Technology
  4. C#编程语言 C# Programming Language
  5. 人机交互 Human Computer Interaction
  6. 面向对象分析与设计 Object-orient Analysis and Design
  7. 高级数据库系统 Advanced Database Systems

课 程 建 设：

  1. 2017年，《面向产业需求的大数据人才培养体系的构建》，厦门大学教改研究项目
  2. 2013年，《人机交互》网络课程建设，厦门大学教改项目
  3. 2011年，参与《软件工程》课程建设， “教育部-IBM”精品课程

指导学生竞赛：

  1. 2020年，指导学生获 13届中国大学生计算机设计大赛 (大数据实践赛) 二等奖
    题目：基于大数据的潮汐车道的设置---以厦门市为例 （学生：袁沈阳、徐清韵、徐庚辰）
  2. 2020年，指导学生获 北京数据开放创新应用大赛—科技战疫·大数据公益挑战赛 二等奖
    题目：重点区域人群密度预测 （学生：麦多健、洪永团、王梓）
  3. 2017年，指导学生获 海峡两岸信息服务创新大赛暨福建省11届计算机软件设计大赛 二等奖
    题目：BRT排班系统 （学生：吴雪玉、孙志杰、卓束颖、秦测皓、游行键）
  4. 2013年，指导学生获 Google Android应用开发中国大学生挑战赛 全国三等奖，华南赛区二等奖
    题目：iRoll游戏 （学生：李广博、江贤、江壬）
往届学生名单
获 得 奖 励
  1. 2021年12月， 福建省高层次人才 B类
  2. 2021年3月，厦门市科技进步奖 二等奖
    题目：面向云边协同的电缆监控平台关键技术研发与产业化(4/8)
  3. 2020年12月，厦门市 “双百计划”领军型创业人才
  4. 2020年9月，福建省科技进步奖 二等奖
    题目：智慧公交管理服务平台关键技术研发与推广应用(6/10)
  5. 2020年5月，2019年度CSC-IBM 中国优秀教师奖教金
  6. 2019年12月，厦门市第十一次社会科学优秀成果奖 二等奖
    题目：大力培育我市大数据和人工智能产业的对策研究
  7. 2019年11月，中国人民大学"优秀校友工作者"荣誉称号
  8. 2019年11月，厦门市高层次人才 B类（省级领军人才）
  9. 2018年4月，厦门大学 建设银行奖教金（科研类）
  10. 2014年11月，厦门大学 主题暑期社会实践活动“优秀带队老师”荣誉称号
  11. 2014年4月，厦门大学 厦门航空奖教金（教学类）
  12. 2014年3月，厦门大学 高等教育教学成果二等奖(参与 中国-荷兰CHECK-IT软件人才国际化实习基地项目)
  13. 2013年8月，厦门大学 第八届青年教师教学技能比赛一等奖
  14. 2010年，中国人民大学 优秀博士论文
社会活动和兼职
  1. 2021, 主席, 21st International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2021)
  2. 2020-, 中国计算机学会普适计算专委会委员、数据库专委会通讯委员
  3. 2020-, 福建致公 “数字经济研究智库” 专家
  4. 2019-, 中国人民大学厦门校友会 秘书长
  5. 2019-2021, CCF青年计算机科技论坛(YOCSEF)厦门AC委员
  6. 2017, 出版主席, 10th International Conference on Advanced Computational Intelligence （ICACI 2018）
  7. 2015-, 教育部学位与研究生教育发展中心 论文评审专家
  8. 2012-, 福建省人工智能学会 理事
  9. 2015-中国高校大数据课程公共服务平台 高级讲师
  10. 2015,2016, 第1届/第2届全国研究生移动终端应用设计创新大赛 评委
  11. 2015, 第八届英特尔杯全国大学生软件创新大赛 复赛评委
  12. 多个期刊和会议审稿人, 包括 Transactions on Parallel and Distributed Systems, Frontiers of Computer Science ,International Journal of Sensor Networks

教 材 出 版
  1. 《中间件技术基础和Java实践》，赖永炫，清华大学出版社，2024年1月出版，ISBN：9787302653189
  2. 《Spark编程基础(Scala版第2️版)》，林子雨，赖永炫，陶继平，人民邮电出版社，2022年12月出版 ISBN：9787115595010
  3. 《Spark编程基础(Python版)》，林子雨，郑海山，赖永炫，人民邮电出版社，2020年4月出版 ISBN：9787115524393
  4. 《Spark编程基础(Scala版)》，林子雨，赖永炫，陶继平，人民邮电出版社，2018年4月出版 ISBN：9787115488169
专 利
  1. 一种公交车辆从起点到终点总行驶时间预测方法及装置，国家发明专利（排名第1），授权号：ZL 201910860805.6
  2. 一种可预约的出租车匹配方法，国家发明专利（排名第1），授权号：ZL 201811281523.2
  3. 一种弹性的公车调度方法和系统，国家发明专利（排名第1），授权号：ZL 201810576741.2
  4. 车载网络环境下基于雾节点的事件驱动的数据收集方法，国家发明专利（排名第1），授权号：ZL 201710398329.1
  5. 一种基于轨迹数据的出租车巡游路径推荐方法和系统，国家发明专利(排名第1)，授权号：ZL 201710329812.4
  6. 一种冗余可控的动漫图像适配方法 (排名第3)，授权号：ZL 201510022139.0
  7. 一种基于反向传播的网络风险源头追溯方法 (排名第6)，授权号：ZL 201610482278.6
论 文

    2023

  1. Peiying Zeng, Liying Jiang, Yongxuan Lai*, and Fan Yang, Traffic Demand Prediction Based on Multi-dimensional Graph Convolutional Network, in IEEE International Conference on Big Data, Sorrento, Italy, 2023, pp. 996-1004, doi: 10.1109/BigData59044.2023.10386661. CCF Rank C
  2. Honghao Wu, Chao Wang, Zihao Jian, Yongxuan Lai*, Liang Song and Fan Yang, Nearest Memory Augmented Feature Reconstruction for Unified Anomaly Detection, in the 30th International Conference on Neural Information Processing, ICONIP2023，pp. 350-361. Singapore: Springer Nature Singapore. CCF Rank C
  3. Yongxuan Lai*, Fan Yang, Ge Meng, Wei Lu, Data-driven Flexible Vehicle Scheduling and Route Optimization, in IEEE Transactions on Intelligent Transportation Systems, 23.12: 23099-23113, 2023 CCF Rank B, JCR Section 1, IF 5.595 [PDF]
  4. Linbo Liao, Yongxuan Lai*, Fan Yang, Wenhua Zeng. Online Computation Offloading with Double Reinforcement Learning Algorithm in Mobile Edge Computing, in Journal of Parallel and Distributed Computing, 171, pp.28-39, 2023 CCF Rank B, JCR Section 2, IF 4.542 [PDF]

    5. 2022

  5. Jianwei Chen, Fan Yang, Yongxuan Lai*, A Self-Distillation Approach via Entropy Transfer for Scene Text Detection, ACTA Automatica Sinica, in Chinese, pp.1-14, 2022. CCF Recommended Journal [PDF]
  6. Fan Yang*, Jian Zhang, Wanyi Chen, Yongxuan Lai*, Ying Wang and Quan Zou. DeepMPM: a Mortality Risk Prediction Model using Longitudinal EHR Data. BMC Bioinformatics, 23/423 (2022).JCR Section 4 [PDF]
  7. Le Zhang, Yongxuan Lai*, Fan Yang. Hierarchical Reinforcement Learning-based Mobility-aware Content Caching and Delivery Policy for Vehicle Networks, International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2022 CCF Rank C [PDF]
  8. Yongxuan Lai*, Yifan Xu, Duojian Mai, Yi Fan, Fan Yang* Optimized Large-Scale Road Sensing Through Crowdsourced Vehicles, in IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2022.3147211, 2022 CCF Rank B, JCR Section 1, IF 4.542 [PDF]

    9. 2021

  9. Linbo Liao, Shipeng Yang, Yongxuan Lai*, Wenhua Zeng, Fan Yang, and Min Jiang, Efficient Estimation of Time-Dependent Shortest Paths based on Shortcuts . International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Dec. 3-5, 2021, (Virtual) Xiamen, China. CCF Rank C
  10. Huibin Cao, Yongxuan Lai*, Quan Chen, and Fan Yang. A Semi-supervised Defect Detection Method based on Image Inpainting. The Pacific Rim International Conference on Artificial Intelligence (PRICAI), November 8-12, 2021, (Virtual) Hanoi, Vietnam. CCF Rank C
  11. Liying Jiang, Yongxuan Lai*, Quan Chen, Wenhua Zeng, Fan Yang, and Qisheng Liao. Dynamic Transit Flow Graph Prediction in Spatial-Temporal Network. 22nd International Conference on Web Information Systems Engineering (WISE 2021), 26-29 Oct 2021, Melbourne, Australia. CCF Rank C
  12. Liying Jiang, Yongxuan Lai*, Quan Chen, Wenhua Zeng, Fan Yang,Yi Fan. Shortest Path Distance Prediction Based on CatBoost. In International Conference on Web Information Systems and Applications pp. 133-143. Sep 2021, Springer, Cham.

    13. 2020

  13. Jinsong Su, Jinchang Chen, Hui Jiang, Chulun Zhou, Huan Lin, Yubin Ge, Qingqiang Wu*, and Yongxuan Lai*. Multi-modal Neural Machine Translation with Deep Semantic Interactions. Information Sciences 554 (2020): 47-60. CCF Rank B, JCR Section 2,IF 5.91 [PDF]
  14. Yongxuan Lai, Shipeng Yang, Anshu Xiong, Fan Yang, Lei Li, Xiaofang Zhou. Utility-based Matching of Vehicles and Hybrid Requests on Rider Demand Responsive Systems, in IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2020.3019791. 2020 CCF Rank B, JCR Section 2, IF 4.051 [PDF]
  15. Kaixin Zhang, Yongxuan Lai, Liying Jiang, and Fan Yang. Bus Travel-time Prediction Based on Deep Spatio-Temporal Model. 21st International Conference on Web Information Systems Engineering (WISE 2020), 20-24 Oct 2020, Amsterdam and Leiden, Netherlands. accepted. CCF Rank C
  16. Yongxuan Lai, Shipeng Yang, Anshu Xiong, and Fan Yang. Seamless Incorporation of Appointment-based Requests on Taxi-Rider Match Scheduling. APWeb-WAIM Joint Conference on Web and Big Data, August 12-14, 2020, Tianjin, China. accepted. (Accept Ratio: 26.25%). CCF Rank C
  17. Yongxuan Lai, Lu Zhang, Yang Fan, Lu Wei, Wang Tian. A Bus Arrival Time Prediction Algorithm based on Spatio-temporal Correlation Attribute Model. Journal of Software. Ruan Jian Xue Bao/Journal of Software, 2020,31(3):648-662 (in Chinese). CCF Rank A [PDF]
  18. Yongxuan Lai, Songyao He, Zhijie Lin, Fan Yang, Qifeng Zhou, Xiaofang Zhou, An Adaptive Robust Semi-supervised Clustering Framework Using Weighted Consensus of Random k-Means Ensemble, in IEEE Transactions on Knowledge and Data Engineering. doi: 10.1109/TKDE.2019.2952596, 2019 CCF Rank A, JCR Section 2, IF 4.561 [PDF]

    19. 2019

  19. Yongxuan Lai, Kaixin Zhang, Junqiang Lin, Fan Yang and Yi Fan. Taxi Demand Prediction with LSTM-based Combination Model. 17th IEEE International Symposium on Parallel and Distributed Processing with Applications. 2019 CCF Rank C
  20. Yongxuan Lai, Xu Yang, Qi Cao , Huibin Cao, Tian Wang, Fan Yang, A Bus Running Length Prediction Method Based on Gradient Boosting. Bigdata Research, 5(5), 0, pp. 58-78 (in Chinese) CCF Recommended Chinese Journal [PDF]
  21. Yongxuan Lai, Yifan Xu, Fan Yang, Wei Lu, Quan Yu, Privacy-aware Query Processing in Vehicular Ad-hoc Networks, Ad Hoc Networks, Volume 91, August 2019. CCF Rank C, JCR Section 3, IF 3.151 [PDF]
  22. Yi Fan, Yongxuan Lai, Chengqian Li, Nan Li, Zongjie Ma, Jun Zhou, Longin Jan Latecki, and Kaile Su: Efficient Local Search for Minimum Dominating Sets in Large Graphs, 24th International Conference on Database Systems for Advanced Applications (DASFAA), pp. 211-228. Springer, Cham, 2019. CCF Rank B [PDF]
  23. Liu, Xin, Xiao Liu, Yongxuan Lai, Fan Yang, and Yifeng Zeng. Random Decision DAG: An Entropy Based Compression Approach for Random Forest. 24th International Conference on Database Systems for Advanced Applications (DASFAA), pp. 319-323. Springer, Cham, 2019. CCF Rank B [PDF]
  24. Yongxuan Lai, Zheng Lv, Kuan-Ching Li, Minghong Liao: Urban Traffic Coulomb's Law: A New Approach for Taxi Route Recommendation, in IEEE Transactions on Intelligent Transportation Systems, Volume 20, Issue 8, Aug. 2019, Pages 3024-3037. CCF Rank B, JCR Section 2, IF 4.051 [PDF]
  25. Yongxuan Lai, Lu Zhang, Fan Yang, Lv Zheng, Tian Wang, Kuan-Ching Li: CASQ: Adaptive and Cloud-assisted Query Processing in Vehicular Sensor Networks, Future Generation Computer Systems, Volume 94, 2019, Pages 237-249 JCR Section 2, IF 4.968 [PDF]
  26. Yongxuan Lai, Hailin Lin, Fan Yang, Tian Wang: Efficient Data Request Answering in Vehicular Ad-hoc Networks Based on Fog Nodes and Filters, in Future Generation Computer Systems, Volume 93, April 2019, Pages 130-142. JCR Section 2, IF 4.968 [PDF]

    27. 2018

  27. Yongxuan Lai, Hailin Lin, Xing Gao, Fan Yang, Shaoyi Yin: Request Answering in Vehicular Ad-hoc Networks based on Adaptive Filters, the 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2018). CCF Rank C
  28. Yongxuan Lai, Fan Yang, Lu Zhang and Ziyu Lin: Distributed Public Vehicle System Based on Fog Nodes and Vehicular Sensing, in IEEE Access, vol. 6, pp. 22011-22024, 2018. JCR Section 3, IF 2.257 [PDF]
  29. Yongxuan Lai, Fan Yang, Jinsong Su, Qifeng Zhou, Tian Wang, Lu Zhang, Yifan Xu. Fog-Based Two-Phase Event Monitoring and Data Gathering in Vehicular Sensor Networks , 2018, Sensors 18, no. 1: 82. JCR Section 3, IF 2.318 [PDF]

    30. 2017

  30. Zhijie Lin, Fan Yang, Yongxuan Lai, Xing Gao, Tian Wang: A Scalable Approach of Co-association Cluster Ensemble using Representative Points. 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), Hefei, 2017, pp. 1194-1199.
  31. Zheng Lv, Yongxuan Lai, Kuan-Ching Li,Minghong Liao and Xing Gao: Taxi Route Recommendation Based on Urban Traffic Coulomb's Law, the 18th International Conference on Web Information Systems Engineering (WISE), 2017 CCF Rank C
  32. Yongxuan Lai, Tian Wang, Fan Yang and Lu Zhang: Data Gathering Framework based on Fog Computing Paradigm in Vehicular Networks, International Workshop on Spatio-temporal Data Management and Analytics (SDMA 2017), in conjunction with APWeb 2017
  33. Tian Wang, Wenhua Wang, Yongxuan Lai, Sheng Wen, Hui Tian, Yiqiao Cai, Yonghong Chen, Baowei Wang: The Chaotic Video Surveillance in Mobile Camera Sensor Networks: Improving the Efficiency and Security. Ad Hoc & Sensor Wireless Networks 37(1-4): 95-115 (2017)
  34. Tian Wang, Wenhua Wang, Jiannong Cao, Md. Zakirul Alam Bhuiyan, Yongxuan Lai, Yiqiao Cai, Hui Tian, Yonghong Chen, Baowei Wang: Interoperable Localization for Mobile Group Users. Computer Communications 105: 53-65 (2017) CCF Rank C, JCR Section 3, IF 2.377
  35. Yongxuan Lai, Xing Gao, Tian Wang, Ziyu Lin: Efficient Iceberg Join Processing in Wireless Sensor Networks. International Journal of Embedded Systems 9(4): 365-378 (2017)
  36. Tian Wang, Zhen Peng, Sheng Wen, Yongxuan Lai, Weijia Jia, Yiqiao Cai, Hui Tian, Yonghong Chen: Reliable Wireless Connections for Fast-moving Rail Users based on a Chained Fog Structure. Inforamtion Science. 379: 160-176 (2017) CCF Rank B, JCR Section 2, IF 4.078
  37. Fan Yang, Xiaolu Gan, Hua-zhen Wang, Lei Feng, Yongxuan Lai: CP-RAkEL: Improving Random k-labelsets with Conformal Prediction for Multi-label Classification. The 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017) : 266-279

    38. 2016

  38. Yongxuan Lai,Xing Gao, Minghong Liao, Jinshan Xie, Ziyu Lin,Haiying Zhang. Data Gathering and Offloading in Delay Tolerant Mobile Networks. Wireless Networks, 2016, 22(3): 959-973 CCF Rank C, JCR Section 4, IF 1.184
  39. Lin Zhijie, Yongxuan Lai*, Xing Gao, Guilin Li, Tian Wang, Guohua Huang: Data Gathering in Urban Vehicular Network based on Daily Movement Patterns, 2016 11th International Conference on Computer Science & Education (ICCSE). IEEE, 2016: 641-646.
  40. Jiandian Zeng, Tian Wang, Yongxuan Lai, Junbin Liang, Hongyu Chen: Data Delivery from WSNs to Cloud Based on a Fog Structure. Fourth IEEE International Conference on Advanced Cloud and Big Data (IEEE CBD 2016): 104-109
  41. Ziyu Lin, Qian Xue, Yongxuan Lai: PACOKS: Progressive Ant-Colony-Optimization-Based Keyword Search over Relational Databases. Web-Age Information Management Conference (WAIM) (2) 2016: 107-119 CCF Rank C
  42. Ziyu Lin, Daowen Luo, Yongxuan Lai: GFSF: A Novel Similarity Join Method Based on Frequency Vector. Web-Age Information Management Conference (WAIM) (2) 2016: 506-518 CCF Rank C

    43. 2015

  43. Yongxuan Lai, Jinshan Xie, Ziyu Lin, Tian Wang, Minghong Liao: Adaptive Data Gathering in Mobile Sensor Networks Using Speedy Mobile Elements. Sensors 09/2015; 15(9):23218-23248. DOI:10.3390/s150923218 JCR Section 3, IF 2.318
  44. Ziyu Lin, Yuqian Li, Yongxuan Lai: Improve the Effectiveness of Keyword Search over Relational Database by Node-temperature-based Ant Colony Optimization. In proceedings of FSDK2015, pp. 12431248, 2015.
  45. Ziyu Lin, Minxing Cai, Ziming Huang, Yongxuan Lai: SALA: A Skew-Avoiding and Locality-Aware Algorithm for MapReduce-Based Join. In proceedings of Web-Age Information Management Conference (WAIM), LNCS 9098, pp. 311-323, 2015. CCF Rank C

    46. 2014

  46. Yongxuan Lai, Zhengkun Chen, Weicong Wu, Tianli Ma: Multiple-resolution content sharing in mobile opportunistic networks. Wireless Communications and Mobile Computing 03/2014; 15(16). DOI:10.1002/wcm.2472 CCF Rank C, JCR Section 4, IF 1.226
  47. Jinshan Xie, Xiao Chen, Yongxuan Lai: Decyling numbers of strong product graphs involving paths, circuits, stars and complete graphs. International Journal of Applied Mathematics and Statistics 10/2014; 52(8):83-90.
  48. Yongxuan Lai, Ziyu Lin: Priority-Based Query Forwarding and Processing Algorithm in Opportunistic Wireless Sensor Network. Journal of Communications (in Chinese), 2014(3):85-93.
  49. Ziyu Lin, Quan Zou, Yongxuan Lai, Chen Lin: Dynamic Result Optimization for Keyword Search over Relational Databases. Journal of Software (in Chinese), 2014,25(3):528-546

    50. 2013

  50. Yongxuan Lai, Jinshan Xie: Frequent Itemset Based Event Detection in Uncertain Sensor Networks. Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing; 01/2013

    51. 2012

  51. Yongxuan Lai, Ziyu Lin: Data Gathering in Opportunistic Wireless Sensor Networks, International Journal of Distributed Sensor Networks, Volume 2012 (2012), Article ID 230198.
  52. Ziyu Lin, Yongxuan Lai, Chen Lin, Yi Xie, Quan Zou: Research on Cloud Databases, Journal of Software (in Chinese), 2012,23(5):1148-1166, EI
  53. Ziyu Lin, Dongzhan Zhang, Chen Lin, Yongxuan Lai, Quan Zou: Performance Optimization of Analysis Rules in Real-Time Active Data Warehouses. Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications; 04/2012 CCF Rank C

    54. 2011

  54. Ziyu Lin, Yongxuan Lai, Chen Lin, Yi Xie and Quan Zou: Maintaining Internal Consistency of Report for Real-time OLAP with Layer-based View, In Proceedings of 13th International Asia-Pacific Web Conference (APWeb). LNCS 6612, pp. 143-154, 2011. CCF Rank C

    55. 2010

  55. Yongxuan Lai, Yilong Chen, Hong Chen: Continuous Monitoring of Global Events in Sensor Networks, In International Journal of Sensor Networks (IJSNet), 2010 Vo.7 Nos.1/2 (15). pp.95-105. 2010. SCI
  56. Yongxuan Lai, Ziyu Lin, Xing Gao, SRJA: Iceberg Join Processing in Wireless Sensor Networks, second International Workshop on Database Technology and Applications, DBTA 2010: 1-4. EI
  57. Yongxuan Lai, Wenhua Zeng, Ziyu Lin, Guilin Li. LAMF: Framework for complex event processing in wireless sensor networks. 2nd International Conference on Information Science and Engineering (ICISE), pp. 2155-2158.

    58. 2008

  58. Yongxuan Lai, Yilong Chen, Hong Chen, PEJA: Progressive Energy-efficient Join Processing for Sensor Networks, In Journal of Computer Science and Technology (JCST), v 23 (6):1, pp. 957-972, 2008. CCF Rank B
  59. Yongxuan Lai, Hong Chen, Yilong Chen: In-Network Execution of External Join for Sensor Networks, The Ninth International Conference on Web-Age Information Management (WAIM'2008) CCF Rank C

    60. 2007

  60. Yongxuan Lai, Hong Chen, Cuiping Li: Processing the v-KNN Queries in Wireless Sensor Networks, the 36th International Conference on Parallel Processing (ICPP2007) CCF Rank B
  61. Yongxuan Lai, Hong Chen: Energy-Efficient Fault-Tolerant Mechanism for Clustered Wireless Sensor Networks, 16th International Conference on Computer Communications and Networks (ICCCN2007) CCF Rank C
  62. Yongxuan LaiHong Chen, Yufeng Wang: Dynamic Balanced Storage in Wireless Sensor Network, 4th International Workshop on Data Management for Sensor Networks in conjunction with VLDB2007 (DMSN'07)
  63. Yongxuan Lai, Yufeng Wang, Hong Chen: Energy-efficient Robust Data-centric Storage in Wireless Sensor Networks, The 3rd International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM2007)
  64. Yongxuan Lai, Xiaobo Fan, Hong Chen and Tingting Xie: Optimization Framework for Distributed Clustering Scheme in Wireless Sensor NetworksEighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)

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