罗平  男    中国科学院计算技术研究所
电子邮件: luop@ict.ac.cn
通信地址: 北京海淀区科学院南路6号
邮政编码:

研究领域

数据挖掘、机器学习、数据科学

招生信息

   
招生专业
081202-计算机软件与理论
招生方向
人工智能,数据挖掘,机器学习,

工作经历

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

教授课程

人工智能
网络数据挖掘
推荐系统

出版信息

论文下载地址:

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

发表论文
[1] Cao, Rongyu, Cao, Yixuan, Zhou, Ganbin, Luo, Ping. Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application. 2021, http://arxiv.org/abs/2105.09297.
[2] Ping Luo. Numerical Formula Recognition from Tables. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2021, [3] Ping Luo. Extracting Zero-shot Structured Information from Form-like Documents Pretraining with Keys and Triggers. AAAI. 2021, [4] Cao, Yixuan, Chen, Dian, Xu, Zhengqi, Li, Hongwei, Luo, Ping. Nested relation extraction with iterative neural network. FRONTIERS OF COMPUTER SCIENCE[J]. 2021, 15(3): http://dx.doi.org/10.1007/s11704-020-9420-6.
[5] Ping Luo. Rich-text Document Styling Restoration via Reinforcement Learning. Frontiers of Computer Science. 2021, [6] Ping Luo. Pairwise Causality Structure Towards Nested Causality Mining on Financial Statements. NLPCC. 2020, [7] 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. 2020, 143-158, http://lib.cqvip.com/Qikan/Article/Detail?id=7101734522.
[8] Li, Hongwei, Yang, Qingping, Cao, Yixuan, Zhou, Ganbin, Luo, Ping, Hartmann, S, Kung, J, Kotsis, G, Tjoa, AM, Khalil, I. Semantic Matching over Matrix-Style Tables in Richly Formatted Documents. DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2020, PT Inull. 2020, 12391: 369-384, [9] Ping Luo. Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts. KDD. 2020, [10] 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, 11(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000535726400012.
[11] Cao, Yixuan, Chen, Dian, Li, Hongwei, Luo, Ping, ACM. Nested Relation Extraction with Iterative Neural Network. PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)null. 2019, 1001-1010, http://dx.doi.org/10.1145/3357384.3358003.
[12] 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. 2019, 12-13, http://lib.cqvip.com/Qikan/Article/Detail?id=6100258647.
[13] 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, https://www.webofscience.com/wos/woscc/full-record/WOS:000446426900007.
[14] Ao, Xiang, Luo, Ping, Wang, Jin, Zhuang, Fuzhen, He, Qing. Mining Precise-Positioning Episode Rules from Event Sequences. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2018, 30(3): 530-543, https://www.webofscience.com/wos/woscc/full-record/WOS:000424637500010.
[15] 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 INTELLIGENCEnull. 2018, 5722-5729, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488905101.
[16] 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, 9(2): http://dx.doi.org/10.1145/3108257.
[17] Zhou, Ganbin, Luo, Ping, He, Qing. Predicting compositional time series via autoregressive Dirichlet estimation. SCIENCE CHINA-INFORMATION SCIENCESnull. 2018, 61(9): http://lib.cqvip.com/Qikan/Article/Detail?id=676286717.
[18] 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 INTELLIGENCEnull. 2018, 5730-5737, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488905102.
[19] Zhou, Ganbin, Luo, Ping, He, Qing. Predicting compositional time series via autoregressive Dirichlet estimation. SCIENCE CHINA-INFORMATION SCIENCESnull. 2018, 61(9): http://lib.cqvip.com/Qikan/Article/Detail?id=676286717.
[20] 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). 2018, 61(9): 268-270, http://lib.cqvip.com/Qikan/Article/Detail?id=676286717.
[21] Cao, Yixuan, Li, Hongwei, Luo, Ping, Yao, Jiaquan, Assoc Comp Machinery. Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text. WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)null. 2018, 1795-1804, http://dx.doi.org/10.1145/3178876.3186166.
[22] 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 MININGnull. 2017, 1275-1284, http://dx.doi.org/10.1145/3097983.3098147.
[23] 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 INTELLIGENCEnull. 2017, 3400-3406, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630703063.
[24] Qing He. Ping Luo, Ganbin Zhou, Qing He. Browsing Regularities in Hedonic Content Systems: the More the Merrier?. IJCAI-16. 2016, [25] Zhang, Lei, Luo, Ping, Chen, Enhong, Wang, Min. Revisiting bound estimation of pattern measures: A generic framework. INFORMATION SCIENCES[J]. 2016, 339: 254-273, http://www.corc.org.cn/handle/1471x/2157738.
[26] 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 MININGnull. 2016, 175-184, http://dx.doi.org/10.1145/2939672.2939683.
[27] Ping Luo. Convex Matrix Completion: A Trace‐Ball Optimization Perspective. ICDM. 2015, [28] 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, 10(2): http://www.corc.org.cn/handle/1471x/2201768.
[29] 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)null. 2015, 4017-4024, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000442637804013.
[30] Qing He. Xinyu Wu, Ping Luo, Qing He, Tianshu Feng. Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM15. 2015, [31] 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. 2015, 9(6): 42-49, http://lib.cqvip.com/Qikan/Article/Detail?id=667627855.
[32] Ao, Xiang, Luo, Ping, Li, Chengkai, Zhuang, Fuzhen, He, Qing, IEEE. Online Frequent Episode Mining. 2015 IEEE 31ST INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE)null. 2015, 891-902, [33] Ping Luo. Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM. 2015, [34] 庄福振, 罗平, 何清, 史忠植. 迁移学习研究进展. 软件学报[J]. 2015, 26(1): 26-39, http://lib.cqvip.com/Qikan/Article/Detail?id=663404885.
[35] 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)null. 2015, 4119-4125, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000442637804027.
[36] 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, [37] 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, 89: 55-75, http://dx.doi.org/10.1016/j.datak.2013.11.003.
[38] Ping Luo. Deal or Deceit: Detecting Cheating in Distribution Channels. CIKM. 2014, [39] An, Ning, Jiang, Lili, Wang, Jianyong, Luo, Ping, Wang, Min, Li, Bing Nan. Toward detection of aliases without string similarity. INFORMATION SCIENCES[J]. 2014, 261: 89-100, http://dx.doi.org/10.1016/j.ins.2013.11.010.
[40] 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 WEBnull. 2014, 217-218, http://dx.doi.org/10.1145/2567948.2577290.
[41] 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, 8(2): https://www.webofscience.com/wos/woscc/full-record/WOS:000339008900003.
[42] 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, 257: 101-114, http://dx.doi.org/10.1016/j.ins.2013.08.048.
[43] 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)null. 2013, 68-76, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000502730600012.
[44] 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, [45] Ping Luo. GRIAS: an Entity‐Relation Graph based Framework for Discovering Entity Alases. ICDM. 2013, [46] Ping Luo. Silence is also evidence: Interpreting dwell time for recommendation from Psychological Perspective. KDD. 2013, [47] 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, [48] Ping Luo. App Recommendation: A Contest between Satisfaction and Temptation. WSDM. 2013, [49] 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)null. 2013, 1277-1282, [50] 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, [51] Ping Luo. Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation. CIKM. 2012, [52] Ping Luo. LIEGE: Link Entities in Web Lists with Knowledge Base. KDD. 2012, [53] Ping Luo. A Straw Shows Which Way the Wind Blows:Ranking Potentially Popular Items from Early Votes. WSDM. 2012, [54] Ping Luo. A Graph‐Based Approach for Ontology Population with Named Entities. CIKM. 2012, [55] Ping Luo. LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge. WWW. 2012, [56] 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, 24(11): 2025-2039, https://www.webofscience.com/wos/woscc/full-record/WOS:000308997600008.
[57] Ping Luo. Harnessing the Wisdom of the Crowds for Accurate Web page Clipping. KDD. 2012, [58] Ping Luo. Prominent Streak Discovery in Sequence Data. KDD. 2011, [59] 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, http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201804160007331LZ.
[60] 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, [61] 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, [62] 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, 22(12): 1664-1678, https://www.webofscience.com/wos/woscc/full-record/WOS:000283133800002.
[63] 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, http://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201904041716387ZK.
[64] Ping Luo. Collaborative Dual‐PLSA: Mining Distinction and Commonality across MultipleDomains for Classification. CIKM. 2010, [65] 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. 2009, 2470-2478, http://lib.cqvip.com/Qikan/Article/Detail?id=30866917.
[66] Ping Luo. Towards Combining Web Classification and Web Information Extraction: a Case Study. KDD. 2009, [67] 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 MININGnull. 2009, 980-+, [68] Ping Luo. Web Article Extraction for Web Printing: a DOM+Visual based Approach. Symposium on Document Engineering. 2009, [69] 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, 21(9): 1249-1262, https://www.webofscience.com/wos/woscc/full-record/WOS:000268062400002.
[70] Ping Luo. Transfer Learning from Multiple Source Domains via Consensus Regularization. CIKM. 2008, [71] Luo, Ping, Zhan, Guoxing, He, Qing, Shi, Zhongzhi, Lue, Kevin. On defining partition entropy by inequalities. IEEE TRANSACTIONS ON INFORMATION THEORY[J]. 2007, 53(9): 3233-3239, https://www.webofscience.com/wos/woscc/full-record/WOS:000249025100022.
[72] Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He. Distributed data mining in grid computing environments. Future Generation Computer Systems. 2007, 23(1): 84-91, http://www.corc.org.cn/handle/1471x/2381052.
[73] 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, [74] 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 MININGnull. 2007, 968-+, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000266628300099.
[75] 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, [76] 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 MININGnull. 2007, 968-+, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000266628300099.
[77] 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, 23(5): 258-272, https://www.webofscience.com/wos/woscc/full-record/WOS:000241201000003.
[78] 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, 23(5): 258-272, https://www.webofscience.com/wos/woscc/full-record/WOS:000241201000003.