数据挖掘、机器学习、数据科学

   

081202-计算机软件与理论

人工智能，数据挖掘，机器学习，

2014/2-至今，中国科学院计算技术研究所，智能信息处理重点实验室，副研究员

2007/7-2014/2，惠普中国实验室，中国和美国分部，高级研究科学家

人工智能
网络数据挖掘
推荐系统

论文下载地址：

http://mldm.ict.ac.cn/MLDM/luoping/

[1] Chanxu Pang, Yixuan CAO, Qiang Ding, Ping LUO. Guideline Learning for In-context Information Extraction. EMNLP. 2023, 第 4 作者
[2] Qiang Ding, Yixuan CAO, Ping LUO. Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification. NeurIPS. 2023, 第 3 作者
[3] Qingping Yang, Yixuan Cao, Ping LUO. Numerical Tuple Extraction from Tables with Pre-training. KDD. 2022, 第 3 作者  通讯作者  
[4] Cao, RongYu, Cao, YiXuan, Zhou, GanBin, Luo, Ping. Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application. Journal of Computer Science and Technology[J]. 2022, 第 4 作者37(3): 699-718, http://dx.doi.org/10.1007/s11390-021-1076-7.
[5] Cao, Rongyu, Cao, Yixuan, Zhou, Ganbin, Luo, Ping. Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application. 2021, 第 4 作者http://arxiv.org/abs/2105.09297.
[6] Hongwei LI, Yingpeng HU, Yixuan CAO, Ganbin ZHOU, Ping LUO. Rich-text document styling restoration via reinforcement learning. Frontiers of Computer Science[J]. 2021, 第 5 作者15(4): 93-103, http://lib.cqvip.com/Qikan/Article/Detail?id=7105304038.
[7] Qingping Yang, Yixuan Cao, Ping Luo. Numerical Formula Recognition from Tables. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2021, 第 3 作者  通讯作者  
[8] Ping Luo. Extracting Zero-shot Structured Information from Form-like Documents Pretraining with Keys and Triggers. AAAI. 2021, 第 1 作者
[9] Cao, Yixuan, Chen, Dian, Xu, Zhengqi, Li, Hongwei, Luo, Ping. Nested relation extraction with iterative neural network. Frontiers of Computer Science[J]. 2021, 第 5 作者  通讯作者  15(3): 109-122, http://lib.cqvip.com/Qikan/Article/Detail?id=7105031502.
[10] Hongwei Li, Yingpeng Hu, Yixuan Cao, Ganbin Zhou, Ping Luo. Rich-text Document Styling Restoration via Reinforcement Learning. Frontiers of Computer Science[J]. 2021, 第 5 作者
[11] Dian Chen, Yixuan Cao, Ping Luo. Pairwise Causality Structure Towards Nested Causality Mining on Financial Statements. NLPCC. 2020, 第 3 作者
[12] 姚加权, 张锟澎, 罗平. 金融学文本大数据挖掘方法与研究进展. 经济学动态[J]. 2020, 第 3 作者143-158, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=JJXD202004010&v=MTUzODR1eFlTN0RoMVQzcVRyV00xRnJDVVI3dWZadVpyRml2a1VMN05MeWZUYXJHNEhOSE1xNDlFWklSOGVYMUw=.
[13] Hongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, Ping Luo. Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts. KDD. 2020, 第 5 作者  通讯作者  
[14] Li, Hongwei, Yang, Qingping, Cao, Yixuan, Zhou, Ganbin, Luo, Ping. Semantic Matching over Matrix-Style Tables in Richly Formatted Documents. DEXA. 2020, 第 5 作者  通讯作者  12391: 369-384, 
[15] Luo, Ping, Shu, Kai, Wu, Junjie, Wan, Li, Tan, Yong. Exploring Correlation Network for Cheating Detection. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY[J]. 2020, 第 1 作者11(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000535726400012.
[16] Cao, Yixuan, Chen, Dian, Li, Hongwei, Luo, Ping. Nested Relation Extraction with Iterative Neural Network. PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19). 2019, 第 4 作者1001-1010, http://dx.doi.org/10.1145/3357384.3358003.
[17] 罗平. 监管科技的科学基础：金融文档语义理解从方法到应用. 金融电子化[J]. 2019, 第 1 作者12-13, http://lib.cqvip.com/Qikan/Article/Detail?id=6100258647.
[18] Qiang, Jipeng, Li, Yun, Yuan, Yunhao, Liu, Wei. Snapshot ensembles of non-negative matrix factorization for stability of topic modeling. APPLIED INTELLIGENCE[J]. 2018, 48(11): 3963-3975, http://dx.doi.org/10.1007/s10489-018-1192-4.
[19] Ao, Xiang, Luo, Ping, Wang, Jin, Zhuang, Fuzhen, He, Qing. Mining Precise-Positioning Episode Rules from Event Sequences. IEEETRANSACTIONSONKNOWLEDGEANDDATAENGINEERING[J]. 2018, 第 2 作者30(3): 530-543, https://www.webofscience.com/wos/woscc/full-record/WOS:000424637500010.
[20] Zhou Ganbin, Luo Ping, Cao Rongyu, Xiao Yijun, Lin Fen, Chen Bo, He Qing, AAAI. Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 2018, 第 2 作者5722-5729, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488905101.
[21] Zhuang, Fuzhen, Cheng, Xiaohu, Luo, Ping, Pan, Sinno Jialin, He, Qing. Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY[J]. 2018, 第 3 作者9(2): http://dx.doi.org/10.1145/3108257.
[22] Zhou, Ganbin, Luo, Ping, He, Qing. Predicting compositional time series via autoregressive Dirichlet estimation. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2018, 第 2 作者61(9): http://lib.cqvip.com/Qikan/Article/Detail?id=676286717.
[23] Zhou Ganbin, Luo Ping, Xiao Yijun, Lin Fen, Chen Bo, He Qing, AAAI. Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 2018, 第 2 作者5730-5737, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488905102.
[24] Ganbin ZHOU, Ping LUO, Qing HE. Predicting compositional time series via autoregressive Dirichlet estimation. 中国科学：信息科学（英文版）[J]. 2018, 第 2 作者61(9): 268-270, http://lib.cqvip.com/Qikan/Article/Detail?id=676286717.
[25] Zhou, Ganbin, Luo, Ping, He, Qing. Predicting compositional time series via autoregressive Dirichlet estimation. SCIENCE CHINA-INFORMATION SCIENCES. 2018, 第 2 作者61(9): http://lib.cqvip.com/Qikan/Article/Detail?id=676286717.
[26] Cao, Yixuan, Li, Hongwei, Luo, Ping, Yao, Jiaquan. Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text. WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018). 2018, 第 3 作者1795-1804, http://dx.doi.org/10.1145/3178876.3186166.
[27] Yin Peifeng, Luo Ping, Nakamura Taiga, ACM. Small Batch or Large Batch? Gaussian Walk with Rebound Can Teach. KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING. 2017, 第 2 作者1275-1284, http://dx.doi.org/10.1145/3097983.3098147.
[28] Zhou Ganbin, Luo Ping, Cao Rongyu, Lin Fen, Chen Bo, He Qing, AAAI. Mechanism-Aware Neural Machine for Dialogue Response Generation. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE. 2017, 第 2 作者3400-3406, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630703063.
[29] Qing He. Ping Luo, Ganbin Zhou, Qing He. Browsing Regularities in Hedonic Content Systems: the More the Merrier?. IJCAI-16. 2016, 
[30] Zhang, Lei, Luo, Ping, Chen, Enhong, Wang, Min. Revisiting bound estimation of pattern measures: A generic framework. INFORMATION SCIENCES[J]. 2016, 第 2 作者  通讯作者  339: 254-273, http://www.corc.org.cn/handle/1471x/2157738.
[31] Luo Ping, Yan Su, Liu Zhiqiang, Shen Zhiyong, Yang Shengwen, He Qing, Assoc Comp Machinery. From Online Behaviors to Offline Retailing. KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING. 2016, 第 1 作者175-184, http://dx.doi.org/10.1145/2939672.2939683.
[32] Zeng Guangxiang, Zhu Hengshu, Liu Qi, Luo Ping, Chen Enhong, Zhang Tong, Yang Q, Wooldridge M. Matrix Factorization with Scale-Invariant Parameters. PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI). 2015, 第 4 作者4017-4024, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000442637804013.
[33] Qing He. Xinyu Wu, Ping Luo, Qing He, Tianshu Feng. Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM15. 2015, 
[34] 何清, 敖翔, 庄福振, 罗平. 一种基于Hadoop的大数据挖掘云服务及应用. 信息通信技术[J]. 2015, 第 4 作者9(6): 42-49, http://lib.cqvip.com/Qikan/Article/Detail?id=667627855.
[35] Ao, Xiang, Luo, Ping, Li, Chengkai, Zhuang, Fuzhen, He, Qing, IEEE. Online Frequent Episode Mining. 2015 IEEE 31ST INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE). 2015, 第 2 作者891-902, 
[36] Ping Luo. Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM. 2015, 第 1 作者
[37] 庄福振, 罗平, 何清, 史忠植. 迁移学习研究进展. 软件学报[J]. 2015, 第 2 作者26(1): 26-39, http://lib.cqvip.com/Qikan/Article/Detail?id=663404885.
[38] Qing He. Xin Jin, Ping Luo, Fuzhen Zhuang, Qing He. Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.. The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015) Oct 19-23, in Melbourne, Australia.. 2015, 
[39] Zhuang Fuzhen, Cheng Xiaohu, Luo Ping, Pan Sinno Jialin, He Qing, Yang Q, Wooldridge M. Supervised Representation Learning: Transfer Learning with Deep Autoencoders. PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI). 2015, 第 3 作者4119-4125, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000442637804027.
[40] Ping Luo. Convex Matrix Completion: A Trace‐Ball Optimization Perspective. ICDM. 2015, 第 1 作者
[41] Zhang, Lei, Luo, Ping, Tang, Linpeng, Chen, Enhong, Liu, Qi, Wang, Min, Xiong, Hui. Occupancy-Based Frequent Pattern Mining. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA[J]. 2015, 第 2 作者  通讯作者  10(2): http://www.corc.org.cn/handle/1471x/2201768.
[42] Pu, Xu, Wang, Jianyong, Song, Zhenhua, Luo, Ping, Wang, Min. Efficient incremental update and querying in AWETO RDF storage system. DATA & KNOWLEDGE ENGINEERING[J]. 2014, 第 4 作者89: 55-75, http://dx.doi.org/10.1016/j.datak.2013.11.003.
[43] Ping Luo. Deal or Deceit: Detecting Cheating in Distribution Channels. CIKM. 2014, 第 1 作者
[44] An, Ning, Jiang, Lili, Wang, Jianyong, Luo, Ping, Wang, Min, Li, Bing Nan. Toward detection of aliases without string similarity. INFORMATION SCIENCES[J]. 2014, 第 4 作者261: 89-100, http://dx.doi.org/10.1016/j.ins.2013.11.010.
[45] Ao Xiang, Luo Ping, Li Chengkai, Zhuang Fuzhen, He Qing, Shi Zhongzhi, Assoc Comp Machinery. Discovering and Learning Sensational Episodes of News Events. WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB. 2014, 第 2 作者217-218, http://dx.doi.org/10.1145/2567948.2577290.
[46] Zhang, Gensheng, Jiang, Xiao, Luo, Ping, Wang, Min, Li, Chengkai. Discovering General Prominent Streaks in Sequence Data. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA[J]. 2014, 第 3 作者8(2): https://www.webofscience.com/wos/woscc/full-record/WOS:000339008900003.
[47] Ao, Xiang, Luo, Ping, Ma, Xudong, Zhuang, Fuzhen, He, Qing, Shi, Zhongzhi, Shen, Zhiyong. Combining supervised and unsupervised models via unconstrained probabilistic embedding. INFORMATION SCIENCES[J]. 2014, 第 2 作者  通讯作者  257: 101-114, http://dx.doi.org/10.1016/j.ins.2013.08.048.
[48] Shen, Wei, Wang, Jianyong, Luo, Ping, Wang, Min, ACM. Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling. 19TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'13). 2013, 第 3 作者68-76, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000502730600012.
[49] Qing He. Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang,Qing He, and Zhongzhi Shi. Embedding with Autoencoder Regularization, ECML/PKDD13, September 23-27, 2013, Prague, Czech. 2013, 
[50] Ping Luo. GRIAS: an Entity‐Relation Graph based Framework for Discovering Entity Alases. ICDM. 2013, 第 1 作者
[51] Ping Luo. Silence is also evidence: Interpreting dwell time for recommendation from Psychological Perspective. KDD. 2013, 第 1 作者
[52] Qing He. Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi. Concept Learning for Cross-domain Text Classification: a General Probabilistic Framework, IJCAI13, the Twenty-third International Conference on Artificial Intelligence, August 3-9, 2013, Beijing, China. IJCAI13, the Twenty-third International Conference on Artificial Intelligence. 2013, 
[53] Ping Luo. App Recommendation: A Contest between Satisfaction and Temptation. WSDM. 2013, 第 1 作者
[54] Zeng, Guangxiang, Luo, Ping, Chen, Enhong, Wang, Min, Xiong, H, Karypis, G, Thuraisingham, B, Cook, D, Wu, X. From Social User Activities to People Affiliation. 2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM). 2013, 第 2 作者1277-1282, 
[55] Qing He. Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi. Triplex Transfer Learning: Exploiting both Shared and Distinct Concepts for Text Classification, WSDM’13, February 4–8, 2013, Rome, Italy. WSDM’13. 2013, 
[56] Ping Luo. Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation. CIKM. 2012, 第 1 作者
[57] Ping Luo. LIEGE: Link Entities in Web Lists with Knowledge Base. KDD. 2012, 第 1 作者
[58] Ping Luo. A Straw Shows Which Way the Wind Blows:Ranking Potentially Popular Items from Early Votes. WSDM. 2012, 第 1 作者
[59] Ping Luo. A Graph‐Based Approach for Ontology Population with Named Entities. CIKM. 2012, 第 1 作者
[60] Ping Luo. LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge. WWW. 2012, 第 1 作者
[61] Zhuang, Fuzhen, Luo, Ping, Shen, Zhiyong, He, Qing, Xiong, Yuhong, Shi, Zhongzhi, Xiong, Hui. Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2012, 第 2 作者24(11): 2025-2039, http://dx.doi.org/10.1109/TKDE.2011.143.
[62] Ping Luo. Harnessing the Wisdom of the Crowds for Accurate Web page Clipping. KDD. 2012, 第 1 作者
[63] Ping Luo. Prominent Streak Discovery in Sequence Data. KDD. 2011, 第 1 作者
[64] Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi. Exploiting associations between word clusters and document classes for cross-domain text categorization †. 2011, 第 2 作者http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201804160007331LZ.
[65] Qing He. Xudong Ma， Ping Luo， Fuzhen Zhuang， Qing He， Zhongzhi Shi， Zhiyong Shen. Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. In：Proceedings of the 22ndInternational Joint Conferences on Artificial Intelligence （IJCAI’11），2011： 1396-1401. （EI ，人工智能领域顶级国际会议）. Proceedings of the 22ndInternational Joint Conferences on Artificial Intelligence (IJCAI’11). 2011, 
[66] Qing He. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, and Zhongzhi Shi. D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-Defined Classification, accepted as a regular paper at the IEEE International Conference on Data Mining (ICDM 2010) to be held in Sydney Australia, December 14-17,2010, pp.709-718, (EI). IEEE International Conference on Data Mining. 2010, 
[67] Zhuang, Fuzhen, Luo, Ping, Xiong, Hui, Xiong, Yuhong, He, Qing, Shi, Zhongzhi. Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2010, 第 2 作者22(12): 1664-1678, https://www.webofscience.com/wos/woscc/full-record/WOS:000283133800002.
[68] Ping Luo, Yuhong Xiong, Hui Xiong, Zhongzhi Shi, Qing He, Fuzhen Zhuang. Exploiting associations between word clusters and document classes for cross‐domain text categorization†. JOHN WILEY & SONS, INC.. 2010, 第 1 作者http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201904041716387ZK.
[69] Ping Luo. Collaborative Dual‐PLSA: Mining Distinction and Commonality across MultipleDomains for Classification. CIKM. 2010, 第 1 作者
[70] ZHUANG FuZhen, LUO Ping, HE Qing, SHI ZhongZhi. Inductive transfer learning for unlabeled target-domain via hybrid regularization. 中国科学通报：英文版[J]. 2009, 第 2 作者2470-2478, http://lib.cqvip.com/Qikan/Article/Detail?id=30866917.
[71] Ping Luo. Towards Combining Web Classification and Web Information Extraction: a Case Study. KDD. 2009, 第 1 作者
[72] Shen, Zhiyong, Luo, Ping, Xiong, Yuhong, Sun, Jun, Shen, Yidong, Wang, W, Kargupta, H, Ranka, S, Yu, PS, Wu, XD. Topic Modeling for Sequences of Temporal Activities. 2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING. 2009, 第 2 作者980-+, 
[73] Ping Luo. Web Article Extraction for Web Printing: a DOM+Visual based Approach. Symposium on Document Engineering. 2009, 第 1 作者
[74] Luo, Ping, Xiong, Hui, Zhan, Guoxing, Wu, Junjie, Shi, Zhongzhi. Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2009, 第 1 作者  通讯作者  21(9): 1249-1262, https://www.webofscience.com/wos/woscc/full-record/WOS:000268062400002.
[75] Ping Luo. Transfer Learning from Multiple Source Domains via Consensus Regularization. CIKM. 2008, 第 1 作者
[76] Luo, Ping, Zhan, Guoxing, He, Qing, Shi, Zhongzhi, Lue, Kevin. On defining partition entropy by inequalities. IEEE TRANSACTIONS ON INFORMATION THEORY[J]. 2007, 第 1 作者53(9): 3233-3239, https://www.webofscience.com/wos/woscc/full-record/WOS:000249025100022.
[77] Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He. Distributed data mining in grid computing environments. FUTURE GENERATION COMPUTER SYSTEMS. 2007, 第 1 作者23(1): 84-91, http://www.corc.org.cn/handle/1471x/2381052.
[78] Ping Luo. A Revisit of Greedy Heuristic for Mapping a Class of Independent Task onto Heterogeneous Computing Systems. Journal of Parallel and Distributed Computing. 2007, 第 1 作者
[79] Luo Ping, Xiong Hui, Lue Kevin, Shi Zhongzhi, Berkhin P, Caruana R, Wu X, Gaffney S. Distributed Classification in Peer-to-Peer Networks. KDD-2007 PROCEEDINGS OF THE THIRTEENTH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING. 2007, 第 1 作者968-+, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000266628300099.
[80] Luo, Ping, Lu, Kevin, Huang, Rui, He, Qing, Shi, Zhongzhi. A heterogeneous computing system for data mining workflows in multi-agent environments. EXPERT SYSTEMS[J]. 2006, 第 1 作者23(5): 258-272, https://www.webofscience.com/wos/woscc/full-record/WOS:000241201000003.