罗平
  • 罗平 

    罗平,中科院计算所副研究员,博士生导师。博士毕业于中科院计算所,曾在惠普实验室担任高级研究员。曾为多个知名企业(腾讯、百度、上交所等)提供技术咨询。

    研究兴趣包括数据挖掘、人工智能、机器学习等相关领域的智能算法与模型研究,特别是富格式数据内容理解的研究。

    罗平的个人网址:https://ping-luo.github.io/


  • 简历
  • 奖项:

    中国计算机学会优秀博士论文奖

    CIKM 2012 “最佳学生论文”奖

    CIKM 2010 “最佳论文提名奖” 

    SDM 2010 “最佳论文提名奖”

    课程:

    中国科学院大学本科生课程 人工智能基础

    中国科学院大学研究生课程 高级人工智能


  • 科研项目
  • 项目:

    主持国家自然科学基金面上项目两项

    PDFlux: 从富格式文档中进行结构识别和表格抽取

    AutoDoc: 金融披露文档的自动勾稽关系检查


  • 科研成果
  • 2021

    Qingping Yang, Yixuan Cao, Hongwei Li, Ping Luo: Numerical Formula Recognition from Tables. KDD 2021: 1986-1996 pdf

    Rongyu Cao, Ping Luo: Extracting Zero-shot Structured Information from Form-like Documents Pretraining with Keys and Triggers. AAAI 2021 pdf

    Hongwei Li, Yingpeng Hu, Yixuan Cao, Ganbin Zhou, Ping Luo: Rich-text Document Styling Restoration via Reinforcement Learning. Frontiers Comput. Sci. (2021) pdf

    Yixuan Cao, Dian Chen, Zhengqi Xu, Hongwei Li, Ping Luo: Nested Relation Extraction with Iterative Neural Network. Frontiers Comput. Sci. 15(3): 153323 (2021) pdf

    2020

    Hongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, Ping Luo: Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts. KDD 2020: 2599-2607 pdf

    Dian Chen, Yixuan Cao, Ping Luo: Pairwise Causality Structure Towards Nested Causality Mining on Financial Statements. NLPCC 2020: 725-737 pdf

    2019

    Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo: Nested Relation Extraction with Iterative Neural Network. CIKM 2019: 1001-1010 pdf

    2018

    Ganbin Zhou, Ping Luo, Qing He: Predicting compositional time series via autoregressive Dirichlet estimation. SCIENCE CHINA Information Sciences 61(9): 098106: 1-098106: 3 (2018) pdf

    Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He: Discovering and learning sensational episodes of news events. Inf. Syst. 78: 68-80 (2018) pdf

    Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He: Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM TIST 9(2): 16: 1-16: 17 (2018) pdf

    Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He: Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. 30(3): 530-543 (2018) pdf

    Juncen Li, Ping Luo, Fen Lin, Bo Chen: Conversational Model Adaptation via KL Divergence Regularization. AAAI 2018: 5213-5219 pdf

    Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He: Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. AAAI 2018: 5722-5729 pdf

    Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He: Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. AAAI 2018: 5730-5737 pdf

    Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo: Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142 pdf

    Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu: Adaboost with Auto-Evaluation for Conversational Models. IJCAI 2018: 4173-4179 pdf

    Yixuan Cao, Hongwei Li, Ping Luo, Jiaquan Yao: Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text. WWW 2018: 1795-1804 pdf

    2017

    Enhong Chen, Guangxiang Zeng, Ping Luo, Hengshu Zhu, Jilei Tian, Hui Xiong: Discerning individual interests and shared interests for social user profiling. World Wide Web 20(2): 417-435 (2017) pdf

    Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He: Mechanism-Aware Neural Machine for Dialogue Response Generation. AAAI 2017: 3400-3407 pdf

    Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He: Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017: 83-86 pdf

    Peifeng Yin, Ping Luo, Taiga Nakamura: Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach. KDD 2017: 1275-1284 pdf

    2016

    Lei Zhang, Ping Luo, Enhong Chen, Min Wang: Revisiting bound estimation of pattern measures: A generic framework. Inf. Sci. 339: 254-273 (2016) pdf

    Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He: Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340 pdf

    Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He: Browsing Regularities in Hedonic Content Systems. IJCAI 2016: 3811-3817 pdf

    Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He: From Online Behaviors to Offline Retailing. KDD 2016: 175-184 pdf