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Publication


陈健教授

  1. Zeyi Wen, Bin Li, Rao Kotagiri,Jian Chen(通讯作者), Yawen Chen and Rui Zhang. Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). (Accepted, CCF A类会议)
  2. Qingyao Wu, Yuguang Yan, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng, Huaqing Min. ML-Forest: A Multi-label Tree Ensemble Method for Multi-Label Classification.IEEE Transactions on Knowledge and Data Engineering. 【Accepted,影响因子2.476, CCF A类期刊】
  3. Jin Huang, Rui Zhang, Rajkumar Buyya, Jian Chen(通讯作者), Yongwei Wu. HEADS-JOIN: Efficient Earth Mover’s Distance Similarity Joins on Hadoop. IEEE Transactions on Parallel and Distributed Systems. 2016, 27(6): 1660 - 1673. 【SCI源刊,影响因子2.661, CCF A类期刊】
  4. Chao Han, Yunkun Tan, Jinhui Zhu, Yong Guo, Jian Chen(通讯作者), Qingyao Wu. Online feature selection of Class Imbalance via PA algorithm. Journal of Computer Science and Technology. 2016, 31(4): 673-682. 【SCI源刊, 影响因子0.475】
  5. Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, and Bin Li. Joint Classification with Heterogeneous labels using random walk with dynamic label propagation. In: Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016), Auckland, New Zealand, April 19-22, 2016, 3-13. 【EI:20161702311805】
  6. Pengyu Chen(student), Jian Chen, Jin Huang(通讯作者). Multi-user Location-Dependent Skyline Query Based on Dominance Graph. International Journal of Computational Science and Engineering (IJCSE). (Accepted) 【EI源刊】
  7. Jin Huang, Jianzhong Qi, Yabo Xu, Jian Chen. A Privacy-enhancing Model for Location-based Personalized Recommendations. Distributed and Parallel Databases (DAPD). (Online:09 Apr 2014 ) 【SCI源刊】
  8. Jian Chen, Jin Huang, Zeyi Wen, Zhen He, Kerry Taylor, Rui Zhang. Analysis and Evaluation of the Top-k Most Influential Location Selection Query. Knowledge and Information Systems (KAIS). (Accepted) 【SCI源刊, 影响因子2.639, JCR2区】
  9. Jin Huang, Rui Zhang, Rajkumar Buyya and Jian Chen(通讯作者). MELODY-JOIN: Efficient Earth Mover’s Distance Similarity Joins Using MapReduce. In: Proceedings of the 30th International Conference on Data Engineering (ICDE 2014), Chicago, IL, USA April 2014, 808-819.
  10. 黄世平, 黄晋, 陈健(通讯作者), 汤庸. 自动建立信任的防攻击推荐算法研究. 电子学报, 2013 Vol.41 (2): 382-387. 【EI:20131416174642】
  11. Jin Huang , Bin Jiang , Jian Pei , Jian Chen(通讯作者) and Yong Tang. Skyline Distance: A Measure of Multidimensional Competence. Knowledge and Information Systems (KAIS). Volume 34, Issue 2 (2013), Page 373-396. DOI:10.1007/s10115-012-0486-9【SCI源刊, 影响因子2.225, JCR2区, IDS Number: 072ZX】
  12. Jian Chen, Jin Huang, Bin Jiang, Jian Pei and Jian Yin. Recommendations for Two-Way Selections Using Skyline View Queries. Knowledge and Information Systems (KAIS). Volume 34, Issue 2 (2013), Page 397-424. DOI:10.1007/s10115-012-0489-6 【SCI源刊, 影响因子2.225, JCR2区, IDS Number: 072ZX】
  13. Jian Chen, Guanliang Chen, Haolan Zhang, Jin Huang, and Gansen Zhao. Social Recommendation Based on Multi-relational Analysis. In: Proceedings of the 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (WI-IAT 2012), Macau, China, 4-7 December 2012, 463-469. 【EI: 20132316401903】
  14. 胡立, 陈健, 沈书毅. 基于用户轨迹聚类分析的推荐算法研究. 计算机研究与发展. 2012, 49(10 Suppl.):250-256.
  15. Jin Huang, 陈健(通讯作者), Da Huang, Yong Tang. Towards Efficient K-Dominant Skyline Computation in CSCW. Chinese Journal of Electronics (CJE). 2012,21(3): 439-444.【SCI源刊, IDS Number:976WS】【EI:20123115301813】
  16. Jin Huang, Zeyi Wen, Jianzhong Qi, Rui Zhang, Jian Chen, Zhen He. Top-k Most Influential Locations Selection. In: Proceedings of the 2011 ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, Scotland, UK, 24th-28th October 2011, 2377-2380. 【EI:20115014597171】
  17. Jian Chen(通讯作者), Jin Huang. Expert Finding in Virtual Learning Community. In: Proceedings of the International Conference on E-Business and E-Government (ICEE2011), Shanghai, China, May 6-8, 2011,1293-1296. 【EI: 20112914159260】
  18. Jin Huang, Jian Chen, Qing Du, Jian Yin. A Load Balancing Skyline Query Algorithm in High Bandwidth Distributed Systems. In: Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2010), Yantai, China, August 10-12, 2010, 2076-2080. 【EI: 20104813422829】
  19. Jin Huang, Feng Zhao, Jian Chen(通讯作者), Jian Pei, Jian Yin. Towards Progressive and Load Balancing Distributed Computation: A Case Study on Skyline Analysis. Journal of Computer Science and Technology (JCST), 2010, 25(3):431-443. Springer Boston. 【SCI源刊, IDS Number:594PB】【EI: 20103413184419】
  20. 陈健, 区庆勇, 郑宇欣, 李东. 基于语义聚类的协作推荐攻击检测模型. 计算机应用. 2009, 29(5):1312-1315.
  21. 杨文新, 饶淑琴, 王继娜, 印鉴, 陈健. 优化线性辨别分析在人脸识别中的应用. 计算机科学与探索. 2009, 3(5): 539-549.
  22. HuaQing Min, JiaAn Zeng, Jian Chen, and Jinhui Zhu. A Study of Reinforcement Learning in a New Multiagent Domain. In: Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2008), Sydney, Australia, 9-12 Dec. 2008. pp. 154-161. 【EI, NO:20091411997652】
  23. Jian Chen, Jin Huang, HuaQing Min. Easy Recommendation Based on Probability Model. In: Proceedings of the 4th International Conference on Semantics, Knowledge and Grid (SKG2008), Beijing, China, Dec. 3-5, 2008. pp. 441-444. 【EI, NO. 20090911934051】
  24. Wenxin Yang, Shuqin Rao, Jina Wang, Jian Yin and Jian Chen, Face Recognition Using Clustering Based Optimal Linear Discriminant Analysis. In: Proceedings of the Fourth International Conference on Advanced Data Mining and Applications (ADMA 2008), Chengdu, China, October 2008. Springer-Verlag Lecture Notes in Artificial Intelligence, NO 5139, pp. 241-249. 【SCI IDS Number: BIL02】【ISTP: 10330018】【EI, NO. 20093412264410】

谭明奎教授


  1. Qingyao Wu, Mingkui Tan (*Corresponding author), Hengjie Song, Jian Chen, Michael K. Ng. "ML-Forest: A Multi-label Tree Ensemble Method for Multi-Label Classification", accepted by IEEE Transactions on Knowledge and Data Engineering.
  2. Shijie Xiao, Mingkui Tan, Dong Xu, Zhao Yang Dong, "Robust Kernel Low-Rank Representation", IEEE Transactions on Neural Networks and Learning Systems, 2016.
  3. Wei Emma Zhang, Mingkui Tan(*Corresponding author), Quan Z. Sheng and Qinfeng Shi, "Efficient Orthogonal Non-negative Matrix Factorization over Stiefiel Manifold", ACM International Conference on Information and Knowledge Management (CIKM 2016), To Appear, 2016, Oral.
  4. Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi. "Riemannian Proximal Gradient for Large-scale Trace-norm Minimization", CVPR, 2016.
  5. Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, and Luc Van Gool, "Fast Algorithms for Linear and Kernel SVM+", CVPR, 2016.
  6. Dong Gong, Mingkui Tan, Yanning Zhang, Anton Van den Hengel, Qinfeng Shi, "Blind Image Deconvolution by Automatic Gradient Activation", CVPR, 2016.
  7. Mingkui Tan, Yan Yan, Li Wang, Ivor W Tsang, Anton van den Hengel,Qinfeng Shi. "Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data", AAAI, 2016.
  8. Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang. "Learning Graph Structure for Multi-label Image Classification via Clique Generation", CVPR, 2015
  9. Yan Yan, Mingkui Tan (*Corresponding Author), Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi. "Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search", International Joint Conference on Artificial Intelligence,IJCAI, 2015
  10. Mingkui Tan, Ivor W. Tsang, Li Wang. "Matching Pursuit LASSO Part I: Sparse Recovery over Big Dictionary", IEEE Transactions on Signal Processing, 63(3), 2015.
  11. Mingkui Tan, Ivor W. Tsang, Li Wang. ``Sparse Recovery over Big Dictionary Part II : Batch Mode Matching Pursuit LASSO and Applications", IEEE Transactions on Signal Processing, 63(3), 2015.
  12. Qingyao Wu, Mingkui Tan, Xutao Li, Huaqing Min , Ning Sun. NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification, Knowledge-Based Systems, 2015,89:160-172.
  13. Mingkui Tan, Ivor W. Tsang, and Li Wang. "Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation," Journal of Machine Learning Research, 15, 1371--1429, 2014.
  14. Makus Chen, Ivor W. Tsang, Mingkui Tan. "A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data", IEEE Transactions on Knowledge and Data Engineering, 99, 2014.
  15. Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan. "Riemannian Pursuit for Big Matrix Recovery", Proceedings of the 31th International Conference on Machine Learning ( ICML 2014 ), Beijing, China, June 2014.
  16. Shijie Xiao, Mingkui Tan, Dong Xu. "Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos", Proceedings of the European Conference on Computer Vision (ECCV 2014) Zurich, Switerland, 2014.
  17. Mingkui Tan, Ivor W. Tsang, Li Wang. "Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection", TNNLS, 24(10), 1609 – 1622, 2013.
  18. Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong. "Discovering Support and Affiliated Features from Very High Dimensions", Proceedings of the 29th International Conference on Machine Learning ( ICML 2012 ), Edinburgh, Scotland, 2012.
  19. Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang. "Convex Matching Pursuit for Large-scale Sparse Coding and Subset Selections", Proceedings of the 26th AAAI Conference on Artificial Intelligence, (AAAI 2012), Toronto, Canada, 2012.
  20. Shutao Li, Mingkui Tan. "Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions", IEEE Transactions on Systems, Man, and Cybernetics, Part B, 41(4), 1003-1014, 2011.
  21. Mingkui Tan, Li Wang, Ivor W. Tsang. "Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets", Proceedings of the 27th International Conference on Machine Learning (ICML 2010), Haifa, Israel, June 2010.
  22. Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan. "Riemannian Pursuit for Big Matrix Recovery", submitted to Journal of Machine Learning Research.
  23. Shutao Li, Xixian Wu, Mingkui Tan. "Gene Selection using Hybrid Particle Swarm Optimization and Genetic Algorithm". Soft Computing, 2008, vol. 12, pp. 1039-1048.
  24. Mingkui Tan, Shutao Li. "Tuning Multiple Parameters of SVM using a Hybrid CLPSO-BFGS Algorithm", Neurocomputing 73 (10-12): 2089-2096, 201

吴庆耀教授


  1. Yonghui Xu, Sinno Pan, Hui Xiong, Qingyao Wu, Yonghua Luo, Huaqing Min, Henjie Song, "A Unified Framework for Metric Transfer Learning", IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2017.2669193
  2. Michael K. Ng, Qingyao Wu, Chenyang Shen, "A fast Markov chain based algorithm for MIML learning", Neurocomputing, DOI: 10.1016/j.neucom.2016.08.033, in press
  3. Guohua Wang, Qiong Liu and Qingyao Wu, "Far-infrared pedestrian detection for advanced driver assistance systems using scene context", Optical Engineering, 55(4), pp.043105-043105, 2016 (IF: 0.954)
  4. Yuguang Yan, Qingyao Wu*, Mingkui Tan, Huaqing Min, "Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers", In: ECCV-2016 workshop on TASK Transferring and Adapting Source Knowledge in Computer Vision, 2016 (Honorable Mention Paper Award)
  5. Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu* and Bin Li, "Joint Classification with Heterogeneous labels using random walk with dynamic label propagation", PAKDD, 3-13, 2016
  6. Yonghui Xu, Huaqing Min, Hengjie Song and Qingyao Wu*, "Multi-Instance Multi-Label Distance Metric Learning for Genome-Wide Protein Function Prediction", Computational Biology and Chemistry, 63:30-40, 2016 (IF: 1.595)
  7. Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, and Qingyao Wu*, "Online Multi-Instance Multi-Label Learning for Protein Function Prediction", In: IEEE BIBM, 2016 (CCF-B)
  8. Chao Han, Yunkun Tan, Jinhui Zhu, Yong Guo, Jian Chen, Qingyao Wu*, "Online feature selection of Class Imbalance via PA algorithm" Journal of Computer Science and Technology (JCST), 31(4): 673-682, 2016 (IF: 0.672)
  9. Qingyao Wu, Zhenyu Wang, Chunshan Li, Yunming Ye, Yueping Li, and Ning Sun. "Protein functional properties prediction in sparsely-label PPI networks through Regularized non-negative matrix factorization", BMC Systems Biology, 9 (Suppl 1):S9, 2015 (IF:2.853)
  10. Qingyao Wu, Jian Chen, Shen-Shyang Ho, Xutao Li, Huaqing Min, Chao Han, "Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks", Big Data Research, 2(4), 187-201, 2015
  11. Qingyao Wu, Mingkui Tan, Xutao Li, Huaqing Min, Ning Sun*, "NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification", Knowledge-Based Systems, 89 (2015): 160-172. (IF: 2.947)
  12. Qingyao Wu, Yunming Ye, Michael Ng, Shen-Shyang Ho and Ruichao Shi. "Collective prediction of protein functions from protein-protein interaction networks", BMC Bioinformatics, 15(S9), no. Suppl 2, 2014 (IF:3.024)
  13. Thanh-Tung Nguyen, Joshua Z. Huang, Qingyao Wu, Thuy T. Nguyen and Mark J. Li. "Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests" BMC Genomics, 16(Suppl 2):S5, 2015 (IF:4.397)
  14. Chao Han, Jian Chen, Qingyao Wu*, Shuai Mu, Huaqing Min, "Sparse Markov Chain based Semi-Supervised Multi-Instance Multi-Label Method for Protein Function Prediction", Journal of Bioinformatics and Computational Biology (JBCB), 13(05), 2015. (IF: 0.931)
  15. Xiaojun Chen, Joshua Z. Huang, Qingyao Wu*, "Subspace Weighting Co-Clustering of Gene Expression Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), to appear
  16. Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min, "Online Transfer Learning by Leveraging Multiple Source Domains" Knowledge and Information Systems, in press (IF: 2.225)
  17. Qingyao Wu, Michael Ng, and Yunming Ye. "Markov-MIML: A Markov Chain Based Multi-Instance Multi-Label Learning Algorithm", Knowledge and Information Systems, 37(1): 83-104, 2013 (IF:2.225) (code & dataset)
  18. Qingyao Wu, Michael Ng, Yunming Ye, Xutao Li, and Yan Li. "Multi-Label Collective Classification via Markov Chain Based Learning Method", Knowledge-Based Systems, 63: 1-14, 2014 (IF:2.947) (code) (dataset)
  19. Qingyao Wu, Yunming Ye, Shen-Shyang Ho and Shuigeng Zhou. "Semi-Supervised Multi-label Collective Classification Ensemble for Functional Genomics", BMC Genomics, 15 (Suppl 9):S17, 2014 (IF:4.397) (code & dataset)
  20. Qingyao Wu*, Yunming Ye, Haijun Zhang, Michael Ng, Xutao Li, Shen-Shyang Ho. "ForesTexter: An Efficient Random Forest Algorithm for Imbalanced Text Categorization", Knowledge-Based Systems, 67: 105-116, 2014 (IF:2.947)
  21. Ruichao Shi, Qingyao Wu*, Yunming Ye, and Shen-Shyang Ho. "A Generative Model with Network Regularization for Semi-Supervised Collective Classification", In: SDM, 2014 (code & dataset) (CCF-B)
  22. Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng and Xutao Li. "Stratified Sampling for Feature Subspace Selection in Random Forest for High Dimensional Data", Pattern Recognition (PR), 46(3): 769-787, 2013 (IF:2.584) (code)
  23. Qingyao Wu, Yunming Ye, Xiaofeng Zhang and Shen-Shyang Ho. "Cluster Tree based Multi-Label Classification for Protein Function Prediction". In: IEEE BIBM, 2013 (CCF-B)
  24. Yunming Ye, Qingyao Wu, K.P.Chow, Lucas C.K. Hui, and S.M. Yiu. "Unknown Chinese Word Extraction based on Variety of Overlapping Strings", Information Processing and Management (IPM), 49(2): 497-512, 2013 (IF:1.069) (dataset)
  25. Yonghui Xu, Huaqing Min, Qingyao Wu*, Henjie Song, "Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction", Scientific Reports, to appear (IF: 5.228)
  26. Xutao Li, Yunming Ye, Michael Ng and Qingyao Wu*. "MultiFacTV: Module Detection from Higher-order Time Series Biological Data", BMC Genomics, 14(S4), 2013 (IF:4.397)
  27. Michael Ng, Qingyao Wu and Yunming Ye. "Co-Transfer Learning via Joint Transition Probability Graph Based Method". In: SIGKDD Workshop on CDKD, pp.1-9, 2012 (Best Selected Paper to Special Issue) (code) (dataset)
  28. Qingyao Wu, Yunming Ye, Yang Liu, and Michael Ng. "Stratified Random Forest for Genome-wide Association Study", In: IEEE BIBM, pp.10-15, 2012 (CCF-B)
  29. Xutao Li, Yunming Ye, Qingyao Wu and Michael Ng. "MultiFacTV: Finding Modules from Higher-order Gene Expression Profiles with Time Dimension", In: IEEE BIBM, pp. 53-58, 2012 (CCF-B)
  30. Qingyao Wu, Yunming Ye, Michael Ng, Hanjing Su and Joshua Huang. "Exploiting Word Cluster Information for Unsupervised Feature Selection", In: PRICAR, pp.292-303, 2010
  31. Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, and Qingyao Wu. "A Refinement Approach to Handling Model Misfit in Semi-supervised Learning". In: ADMA, pp.75-86,2010

  1. 陈健,黄琰(译). R语言与数据挖掘最佳实践和经典案例. 机械工业出版社. ISBN:9787111475415. 2014年9月.
  2. 杜卿,陈健(译). CoffeeScript应用开发. 机械工业出版社. ISBN:9787111468059. 2014年7月.
  3. 唐宏,陈健(译). Splunk大数据分析. 机械工业出版社. ISBN:9787111464297 . 2014年4月.
  4. 陈健,黄晋(译). 信息检索:实现与评价搜索引擎(第一版). 机械工业出版社. ISBN:9787111359906 . 2012年1月.
  5. 陈健 主编. "软硬兼施"演绎精彩--软件与我们的生活(高新技术科普丛书). 广东省出版集团,广东科技出版社. 2011年8月. ISBN:9787535955760. 字数:120000

  1. 陈健、韩超. 基于微博数据分析的热点新闻预测方法及系统. 公布日期:2016.01.06. 公布号:CN105224608A. 申请日期:2015.9.6. 申请号:201510562298.X.
  2. 陈健、黄晋、胡立. 基于位置信息的推荐系统及推荐方法. 授权时间:2015年4月27日. 授权国别:中国. 专利号:201210469843.7.
  3. 陈健、赖旦冉. 一种多文档摘要句的生成方法. 公布日期:2015.07.15. 公布号:CN104778157A. 申请日期:2015.3.2. 申请号:201510092922.4.
  4. 陈健、袁慎溪. 基于两层聚类的多文档主题发现方法. 公布日期:2015.07.15. 公布号:CN104778204A. 申请日期:2015.3.2. 申请号:201510093441.5.
  5. 陈健、廖泳新. 一种基于多关系网络的推荐算法. 公布日期:2015.12.02. 公布号:CN 105117443A. 申请日期:2015.8.12. 申请号:201510494180.8.
  6. 陈健、林世杭. 一种基于多指标评分的推荐算法. 公布日期:2015.11.25. 公布号:CN105095477A. 申请日期:2015.8.12. 申请号:201510493550.6.
  7. 陈健、黄晋、闵华清、杜卿. 一种基于逆邻分析的协作过滤推荐系统及方法. 授权时间:2014年2月18日. 授权国别:中国. 专利号:201010527585.4.

  1. 陈健、曹峻许. 基于Faster R-CNN的交通标志检测系统V1.0 授权时间:2017年8月22日. 授权国别:中国. 登记号:2017SR461442.
  2. 陈健、李斌. 基于Alpha Seeding的支持向量机分类系统V1.0 授权时间:2017年8月22日. 授权国别:中国. 登记号:2017SR461559.
  3. 陈健、林炯. 基于多元数据的用户画像构建系统V1.0 授权时间:2017年8月22日. 授权国别:中国. 登记号:2017SR461902.
  4. 陈健、史嘉帅. 基于移动平台点餐系统V1.0 授权时间:2017年8月22日. 授权国别:中国. 登记号:2017SR461521.
  5. 陈健、周菲. 基于vue.js和struts的物流管理系统V1.0. 授权时间:2017年8月7日. 授权国别:中国. 登记号:2017SR429625.
  6. 陈健、曹峻许. Html5层次化多标签分类系统V1.0 授权时间:2017年7月25日. 授权国别:中国. 登记号:2017SR396002.
  7. 陈健、李斌. 基于深度学习的年龄预测系统V1.0 授权时间:2017年7月25日. 授权国别:中国. 登记号:2017SR395947.
  8. 陈健、林炯. 具备可视化智能分析的汽车配件进销存系统V1.0 授权时间:2017年7月25日. 授权国别:中国. 登记号:2017SR395943.
  9. 陈健、史嘉帅. 分布式网络爬虫软件V1.0 授权时间:2017年7月25日. 授权国别:中国. 登记号:2017SR395939.
  10. 陈健、牟帅. 3D模型渲染自动化处理系统V1.0. 授权时间:2016年7月20日. 授权国别:中国. 登记号:2016SR186951.
  11. 陈健、胡志斌. 面向Linkedin与Microsoft academic的爬虫系统V1.0 . 授权时间:2016年7月19日. 授权国别:中国. 登记号:2016SR186670.
  12. 陈健、李斌. 基于时间序列的机票价格预测系统V1.0. 授权时间:2016年7月19日.授权国别:中国. 登记号:2016SR186675.
  13. 陈健、贺智超. 基于Android的智能情景模式软件V1.0. 授权时间:2016年7月19日.授权国别:中国. 登记号:2016SR186674.
  14. 韩超、陈健. 多数据源全文检索系统V1.0. 授权时间:2015年7月16日. 授权国别:中国. 登记号:2015SR135472.
  15. 陈健、蓝贤赟. 电影推荐系统V1.0. 授权时间:2014年7月30日. 授权国别:中国. 登记号:2014SR108638.
  16. 陈健、黄琰. 微博数据自动提取系统V1.0. 授权时间:2014年7月11日. 授权国别:中国. 登记号:2014SR096352.
  17. 陈健、钟文波、梁浩强. 电影推荐系统引擎软件V1.0. 授权时间:2014年2月28日. 授权国别:中国. 登记号:2014SR024807.
  18. 陈健、傅桔选. 建筑节能数据仓库和数据分析系统V1.0. 授权时间:2014年2月28日. 授权国别:中国. 登记号:2014SR024743.