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） Guideline Learning for In-context Information Extraction, EMNLP, 2023, 第 4 作者
（2） Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification, NeurIPS, 2023, 第 3 作者
（3） Numerical Tuple Extraction from Tables with Pre-training, KDD, 2022, 通讯作者
（4） Extracting Variable-Depth Logical Document Hierarchy from Long Documents:Method,Evaluation,and Application, Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application, Journal of Computer Science and Technology, 2022, 第 4 作者
（5） Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application, 2021, 第 4 作者
（6） Rich-text document styling restoration via reinforcement learning, Rich-text document styling restoration via reinforcement learning, Frontiers of Computer Science, 2021, 第 5 作者
（7） Numerical Formula Recognition from Tables, The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021, 通讯作者
（8） Extracting Zero-shot Structured Information from Form-like Documents Pretraining with Keys and Triggers, AAAI, 2021, 第 1 作者
（9） Nested relation extraction with iterative neural network, Nested relation extraction with iterative neural network, Frontiers of Computer Science, 2021, 通讯作者
（10） Rich-text Document Styling Restoration via Reinforcement Learning, Frontiers of Computer Science, 2021, 第 5 作者
（11） Pairwise Causality Structure Towards Nested Causality Mining on Financial Statements, NLPCC, 2020, 第 3 作者
（12） 金融学文本大数据挖掘方法与研究进展, Text Mining in Financial Big Data and Its Research Progress, 经济学动态, 2020, 第 3 作者
（13） Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts, KDD, 2020, 通讯作者
（14） Semantic Matching over Matrix-Style Tables in Richly Formatted Documents, DEXA, 2020, 通讯作者
（15） Exploring Correlation Network for Cheating Detection, ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 第 1 作者
（16） 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
（17） 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, 第 1 作者
（18） Snapshot ensembles of non-negative matrix factorization for stability of topic modeling, APPLIED INTELLIGENCE, 2018, 
（19） Mining Precise-Positioning Episode Rules from Event Sequences, IEEETRANSACTIONSONKNOWLEDGEANDDATAENGINEERING, 2018, 第 2 作者
（20） 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
（21） Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning, ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2018, 第 3 作者
（22） Predicting compositional time series via autoregressive Dirichlet estimation, SCIENCE CHINA-INFORMATION SCIENCES, 2018, 第 2 作者
（23） 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
（24） Predicting compositional time series via autoregressive Dirichlet estimation, Predicting compositional time series via autoregressive Dirichlet estimation, 中国科学：信息科学（英文版）, 2018, 第 2 作者
（25） Predicting compositional time series via autoregressive Dirichlet estimation, SCIENCE CHINA-INFORMATION SCIENCES, 2018, 第 2 作者
（26） 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
（27） 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
（28） Mechanism-Aware Neural Machine for Dialogue Response Generation, THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, 第 2 作者
（29） Ping Luo, Ganbin Zhou, Qing He. Browsing Regularities in Hedonic Content Systems: the More the Merrier?, IJCAI-16, 2016, 
（30） Revisiting bound estimation of pattern measures: A generic framework, INFORMATION SCIENCES, 2016, 通讯作者
（31） From Online Behaviors to Offline Retailing, KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2016, 通讯作者
（32） Matrix Factorization with Scale-Invariant Parameters, PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2015, 第 4 作者
（33） Xinyu Wu, Ping Luo, Qing He, Tianshu Feng. Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing, SDM15, 2015, 
（34） 一种基于Hadoop的大数据挖掘云服务及应用, A Hadoop Based Big Data Mining Cloud Service with its Applications, 信息通信技术, 2015, 第 4 作者
（35） Online Frequent Episode Mining, 2015 IEEE 31ST INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2015, 第 2 作者
（36） Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks, CIKM, 2015, 第 1 作者
（37） 迁移学习研究进展, Survey on Transfer Learning Research, 软件学报, 2015, 第 2 作者
（38） 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） 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
（40） Convex Matrix Completion: A Trace‐Ball Optimization Perspective, ICDM, 2015, 第 1 作者
（41） Occupancy-based frequent pattern mining, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2015, 通讯作者
（42） Efficient incremental update and querying in AWETO RDF storage system, DATA & KNOWLEDGE ENGINEERING, 2014, 第 4 作者
（43） Deal or Deceit: Detecting Cheating in Distribution Channels, CIKM, 2014, 第 1 作者
（44） Toward detection of aliases without string similarity, INFORMATION SCIENCES, 2014, 第 4 作者
（45） 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
（46） Discovering General Prominent Streaks in Sequence Data, ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2014, 第 3 作者
（47） Combining supervised and unsupervised models via unconstrained probabilistic embedding, INFORMATION SCIENCES, 2014, 通讯作者
（48） 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
（49） 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） GRIAS: an Entity‐Relation Graph based Framework for Discovering Entity Alases, ICDM, 2013, 第 1 作者
（51） Silence is also evidence: Interpreting dwell time for recommendation from Psychological Perspective, KDD, 2013, 第 1 作者
（52） 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） App Recommendation: A Contest between Satisfaction and Temptation, WSDM, 2013, 第 1 作者
（54） From Social User Activities to People Affiliation, 2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2013, 第 2 作者
（55） 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） Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation, CIKM, 2012, 第 1 作者
（57） LIEGE: Link Entities in Web Lists with Knowledge Base, KDD, 2012, 第 1 作者
（58） A Straw Shows Which Way the Wind Blows:Ranking Potentially Popular Items from Early Votes, WSDM, 2012, 第 1 作者
（59） A Graph‐Based Approach for Ontology Population with Named Entities, CIKM, 2012, 第 1 作者
（60） LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge, WWW, 2012, 第 1 作者
（61） Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2012, 第 2 作者
（62） Harnessing the Wisdom of the Crowds for Accurate Web page Clipping, KDD, 2012, 第 1 作者
（63） Prominent Streak Discovery in Sequence Data, KDD, 2011, 第 1 作者
（64） Exploiting associations between word clusters and document classes for cross-domain text categorization †, 2011, 第 2 作者
（65） 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） 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） Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2010, 第 2 作者
（68） Exploiting associations between word clusters and document classes for cross‐domain text categorization†, JOHN WILEY & SONS, INC., 2010, 第 1 作者
（69） Collaborative Dual‐PLSA: Mining Distinction and Commonality across MultipleDomains for Classification, CIKM, 2010, 第 1 作者
（70） Inductive transfer learning for unlabeled target-domain via hybrid regularization, Inductive transfer learning for unlabeled target-domain via hybrid regularization, 中国科学通报：英文版, 2009, 第 2 作者
（71） Towards Combining Web Classification and Web Information Extraction: a Case Study, KDD, 2009, 第 1 作者
（72） Topic Modeling for Sequences of Temporal Activities, 2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 2009, 第 2 作者
（73） Web Article Extraction for Web Printing: a DOM+Visual based Approach, Symposium on Document Engineering, 2009, 第 1 作者
（74） Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2009, 通讯作者
（75） Transfer Learning from Multiple Source Domains via Consensus Regularization, CIKM, 2008, 第 1 作者
（76） On defining partition entropy by inequalities, IEEE TRANSACTIONS ON INFORMATION THEORY, 2007, 通讯作者
（77） Distributed data mining in grid computing environments, FUTURE GENERATION COMPUTER SYSTEMS, 2007, 第 1 作者
（78） 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） Distributed Classification in Peer-to-Peer Networks, KDD-2007 PROCEEDINGS OF THE THIRTEENTH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2007, 通讯作者
（80） A heterogeneous computing system for data mining workflows in multi-agent environments, EXPERT SYSTEMS, 2006, 通讯作者