羅平(中國科學院計算技術研究所副教授)

羅平，中國科學院計算技術研究所副教授、博士生導師。2007年6月在中國科學院計算技術研究所獲得博士學位。

基本介紹

• 中文名：羅平
• 職業：中國科學院計算技術研究所副教授

主要研究

主要研究內容包括：數據挖掘、人工智慧、機器學習等相關領域的智慧型算法與模型研究，並特別關注智慧型技術在金融、網際網路領域的創新套用。在頂級國際會議（SIGKDD、IJCAI、CIKM、ICDM）和期刊（TKDE、TIT、 TKDD）上發表論文40多篇；擁有10餘項美國專利；2012年獲得知識管理領域重要學術會議ACM CIKM“最佳學生論文”獎，並兩次獲得國際主流學術會議“最佳論文提名獎”；曾擔任國際權威期刊IEEE Transactions on Big Data的客座主編；擔任數據挖掘頂級國際會議ICDM2013的Poster主席、KDD2012的Poster主席；是國際頂級學術會議（KDD, ICDM, SDM, CIKM, ECML-PKDD等）程式委員會成員。

研究方向

數據挖掘、人工智慧、機器學習等相關領域的智慧型算法與模型研究，以及智慧型技術在金融、網際網路領域的創新套用。

社會報導

“目前人工智慧技術已經相對成熟，但就商業化而言，‘變現’的方式、方法仍不明晰。所以，人工智慧只有與垂直領域結合，解決實際問題才能讓技術真正實現落地。”

——來源：經濟觀察網《羅平： AI科技落地的時機已經到來》

“公司只有兼顧科研與產業化，才能邁步穩健。”

——來源：網易《庖丁科技羅平：“三位一體”推動AI科技產業化》

羅平教授帶領的團隊已經研發上線了一款名為 AutoDoc 的金融文檔處理工具，以及一個名為 NeuSALG 的智慧型化金融通路平台。

——來源：搜狐科技《中科院羅平：人工智慧在智慧型投行中的套用 | CCF-GAIR 2017》 ；

教育背景

工學博士（計算機科學與技術），中國科學院計算機研究所，2007

專業活動

擔任頂級國際會議（包括KDD、ICDM、SDM、CIKM、ECML-PKDD等）程式委員會成員；2013年國際數據挖掘大會（ICDM）的Poster主席；2012年美國計算機學會國際數據挖掘與知識發現大會（KDD）的Poster主席；2018年自然語言處理和中文計算國際會議（NLPCC）文本挖掘方向領域主席。

曾擔任國際頂級期刊IEEE Transactions on Big Data客座主編；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等期刊審稿人。

榮譽獎項

2012年 國際信息與知識管理會議（ACM CIKM）最佳學生論文獎，獲獎論文為 “Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation”

2010年 工業與套用數學學會國際數據挖掘大會（SIAM International Conference on Data Mining）最佳論文提名獎，獲獎論文為 “Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization”

2010年 國際信息與知識管理會議（ACM CIKM）最佳論文提名獎，獲獎論文為 “Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Classification”

2009年 中國計算機學會優秀博士論文獎

2007年 美國計算機學會數據挖掘與知識發現專委會（ACM SIGKDD）的Student Travel Award

2007年 中國科學院大學優秀畢業生

2007年 中國科學院計算技術研究所所長特別獎獎學金

發表論文

期刊文章

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.

會議論文

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. （最佳學生論文獎）

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. （最佳論文提名獎）

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. （最佳論文提名獎）

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.