罗平

罗平，中国科学院计算技术研究所副教授，博士生导师，2007年6月在中国科学院计算技术研究所获得博士学位。

主要研究内容包括：数据挖掘、人工智能、机器学习等相关领域的智能算法与模型研究，并特别关注智能技术在金融、互联网领域的创新应用。在顶级国际会议（SIGKDD、IJCAI、CIKM、ICDM）和期刊（TKDE、TIT、 TKDD）上发表论文40多篇；拥有10余项美国专利；2012年获得知识管理领域重要学术会议ACM CIKM“最佳学生论文”奖，并两次获得国际主流学术会议“最佳论文提名奖”；曾担任国际权威期刊IEEE Transactions on Big Data的客座主编；担任数据挖掘顶级国际会议ICDM2013的Poster主席、KDD2012的Poster主席；是国际顶级学术会议（KDD, ICDM, SDM, CIKM, ECML-PKDD等）程序委员会成员。^[1]

数据挖掘、人工智能、机器学习等相关领域的智能算法与模型研究，以及智能技术在金融、互联网领域的创新应用。^[1]

“目前人工智能技术已经相对成熟，但就商业化而言，‘变现’的方式、方法仍不明晰。所以，人工智能只有与垂直领域结合，解决实际问题才能让技术真正实现落地。”^[2]

——来源：经济观察网《罗平： AI科技落地的时机已经到来》^[2]

“公司只有兼顾科研与产业化，才能迈步稳健。”^[3]

——来源：网易《庖丁科技罗平：“三位一体”推动AI科技产业化》^[3]

罗平教授带领的团队已经研发上线了一款名为 AutoDoc 的金融文档处理工具，以及一个名为 NeuSALG 的智能化金融通路平台。

——来源：搜狐科技《中科院罗平：人工智能在智能投行中的应用 | CCF-GAIR 2017》 ；^[4]

工学博士（计算机科学与技术），中国科学院计算机研究所，2007^[1]

担任顶级国际会议（包括KDD、ICDM、SDM、CIKM、ECML-PKDD等）程序委员会成员；2013年国际数据挖掘大会（ICDM）的Poster主席；2012年美国计算机学会国际数据挖掘与知识发现大会（KDD）的Poster主席；2018年自然语言处理和中文计算国际会议（NLPCC）文本挖掘方向领域主席。

曾担任国际顶级期刊IEEE Transactions on Big Data客座主编；IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology, Data Mining and Knowledge Discovery Journal, Knowledge and Information Systems, Statistical Analysis and Data Mining Journal, China Science Bulletin等期刊审稿人。^[1]

2012年 国际信息与知识管理会议（ACM CIKM）最佳学生论文奖，获奖论文为“Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation”

2010年 工业与应用数学学会国际数据挖掘大会（SIAM International Conference on Data Mining）最佳论文提名奖，获奖论文为“Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization”

2010年 国际信息与知识管理会议（ACM CIKM）最佳论文提名奖，获奖论文为“Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Classification”

2009年 中国计算机学会优秀博士论文奖

2007年 美国计算机学会数据挖掘与知识发现专委会（ACM SIGKDD）的Student Travel Award

2007年 中国科学院大学优秀毕业生

2007年 中国科学院计算技术研究所所长特别奖奖学金^[1]

1.Lei Zhang, Ping Luo, Linpeng Tang, Enhong Chen, Qi Liu, Min Wang, Hui Xiong. “Occupancy-BasedFrequent Pattern Mining”. ACM Transactions on Knowledge Discovery from Data, 2015.

2.Gensheng Zhang, Chengkai Li, Ping Luo, Xiao Jiang, Min Wang.“Discovering General Prominent Streaks in Sequence Data”. ACM Transactions on Knowledge Discovery from Data, 2014.

3.Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong.“Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification”. IEEE Transactions on Knowledge and Data Engineering 24(11): 2025-2039, 2012.

4.Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi. “Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective”.IEEE Transactions on Knowledge and Data Engineering 22(12): 1664-1678, 2010.

5. Ping Luo, Hui Xiong, Guoxing Zhan, Junjie Wu, Zhongzhi Shi. “Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization”. IEEE Transactions on Knowledge and Data Engineering 21(9): 1249-1262, 2009.

6. Ping Luo, Guoxing Zhan, Qing He, Zhongzhi Shi, Kevin Lü. “On Defining Partition Entropy byInequalities”. IEEE Transactions on Information Theory 53(9): 3233-3239, 2007.^[1]

1.Yixuan Cao, Hongwei Li, Ping Luo, Jiaquan Yao. “Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text”. In Proceedings of the 27th International Conference on World Wide Web (), 2018.

2.Ganbin Zhou, Ping Luo, et al. “Elastic Responding Machine for Dialog Generation withDynamically Mechanism Selecting”. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2018.

3.Ganbin Zhou, Ping Luo, et al. “Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation”. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2018.

4.Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He.“Mechanism-Aware Neural Machine for Dialogue Response Generation”. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2017.

5.Peifeng Yin, Ping Luo, Taiga Nakamura.“Small Batch or Large Batch? Gaussian Walk with Rebound Can Teach”.In Proceedings of the 23th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017.

6. Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He.“From Online Behaviors to Offline Retailing”.In Proceedings of the 22th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.

7. Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He.“Browsing Regularities in Hedonic Content Systems”. In Proceedings of the 25nd International Joint Conference on Artificial Intelligence (IJCAI), 2016.

8.Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He.“Mechanism-Aware Neural Machine for Dialogue Response Generation”.AAAI, 2017.

9.Xiang Ao, Ping Luo, Chengkai Li,Fuzhen Zhuang, Qing He. “Online Frequent Episode Mining”.In Proceedings of the IEEE 31st International Conference on Data Engineering (ICDE), 2015.

10.Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang. “Silence is also evidence: Interpreting dwell time for recommendation from Psychological Perspective”. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013.

11.Wei Shen, Jianyong Wang, Ping Luo, Min Wang. “Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling”.In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013.

12.Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi. “Concept Learning for Cross-domain Text Classification: a General Probabilistic Framework”.In Proceedings of the 23nd International Joint Conference on Artificial Intelligence (IJCAI), 2013.

13.Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang. “App Recommendation: A Contest between Satisfaction and Temptation”.In Proceedings of the 6th International Conference on Web Search and Data Mining (WSDM), 2013.

14.Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi. “Triplex Transfer Learning: Exploiting both Shared and Distinct Concepts for Text Classification”. In Proceedings of the 6th International Conference on Web Search and Data Mining (WSDM), 2013.

15.Linpeng Tang, Lei Zhang, Ping Luo, Min Wang.“Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation”.In Proceedings of the 21th ACM Conference on Information and Knowledge Management (CIKM), 2012. （最佳学生论文奖）

16.Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu.“Harnessing the Wisdom of the Crowds for Accurate Web Page Clipping”.In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2012.

17.Wei Shen, Jianyong Wang, Ping Luo, Min Wang. “LIEGE: Link Entities in Web Lists with Knowledge Base”.In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2012.

18.Peifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee. “A Straw Shows Which Way the Wind Blows: Ranking Potentially Popular Items from Early Votes”.In Proceedings of the 5th International Conference on Web Search and Data Mining (WSDM), 2012.

19.Xiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu.“Prominent Streak Discovery in Sequence Data”.In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2011.

20.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 22nd International Joint Conference on Artificial Intelligence (IJCAI), 2011.

21.Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong. “Collaborative Dual-PLSA: Mining Distinction and Commonality across MultipleDomains for Classification”.In Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM), 2010. （最佳论文提名奖）

22.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”.In Proceedings of the 10th SIAM International Conference on Data Mining (SDM), 2010. （最佳论文提名奖）

23. Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi. “Towards Combining Web Classification and Web Information Extraction: a Case Study”.In Proceedings of the ACM 15th International Conference on Knowledge Discovery and Data Mining (KDD), 2009.

24. Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He.“Transfer Learning from Multiple Source Domains via Consensus Regularization”.In Proceedings of the ACM 17th Conference on information and Knowledge Management (CIKM), 2008.

25. Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi.“Distributed Classification in Peer-to-Peer Networks”.In Proceedings of the ACM 13th International Conference on Knowledge Discovery and Data Mining (KDD), 2007.^[1]