简 历：
研究兴趣主要集中在数据挖掘、人工智能、机器学习等相关领域的智能算法与模型研究，特别是富格式文档的语义认知计算，包括文档识别与理解、自然语言和表格的语义理解，并关注智能技术在金融、互联网领域的创新应用。近年，在数据挖掘、人工智能、大数据等领域的多个顶级国际会议（SIGKDD、NeurIPS、IJCAI、WWW、ICED、CIKM、ICDM）和期刊（TKDE、TIT、 TKDD）上发表80多篇高质量论文；其中CCF A类期刊和会议论文近40篇；中国计算机学会优秀博士论文获得者；所指导的学生论文获得第21届国际信息和知识管理大会（CIKM 2012，CCF B类）“最佳学生论文”奖，并两次获得数据挖掘领域国际主流学术会议“最佳论文提名奖”（CIKM 2010、SDM 2010）；曾任SIGKDD的Poster Session Chair, ICDM的Poster Session CHair，SIGKDD, ICDM, NLPCC等会议的领域主席，拥有10余项美国专利。同时，结合多年学术界和工业界的经验，曾为多个知名企业（腾讯、百度、上交所等）提供技术咨询，牵头撰写证监会监管科技3.0中“金融文档语义理解”行业工程方法建议书，在金融文档分析方面的工作获聘港交所证券期货业金融科技研究发展中心顾问。
欢迎有志于研究的学生报考我的研究生（硕士、博士）！
主要论著：
[1]Chaoxu Pang, Yixuan Cao, Chunhao Yang, Ping Luo: Uncovering Limitations of Large Language Models in Information Seeking from Tables. Findings of ACL 2024
[2]Bo Lv, Chen Tang, Yanan Zhang, Xin Liu, Ping Luo, Yue Yu. URG: A Unified Ranking and Generation Method for Ensembling Language Models. Findings of ACL 2024
[3]Bo Lv, Xin Liu, Kaiwen Wei, Ping Luo, Yue Yu. TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation. COLING 2024.
[4]罗平,杨清平,曹逸轩,曹荣禹,何清. 非关系型表格理解前沿进展. 中文信息学报. 2024, 38(5): 1-21
[5]Qiang Ding, Yixuan Cao, Ping Luo: Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification. NeurIPS 2023
[6]Bo Lv, Xin Liu, Shaojie Dai, Nayu Liu, Fan Yang, Ping Luo, Yue Yu. DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction. Findings of ACL 2023
[7]Chaoxu Pang, Yixuan Cao, Qiang Ding, Ping Luo: Guideline Learning for In-Context Information Extraction. EMNLP 2023: 15372-15389
[8]Rongyu Cao, Yixuan Cao, Ganbin Zhou, Ping Luo: Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application. J. Comput. Sci. Technol. 37(3): 699-718 (2022)
[9]Qingping Yang, Yixuan Cao, Ping Luo: Numerical Tuple Extraction from Tables with Pre-training. KDD 2022: 2233-2241
[10]Yixuan Cao, Dian Chen, Zhengqi Xu, Hongwei Li, Ping Luo: Nested Relation Extraction with Iterative Neural Network. Frontiers Comput. Sci. 15(3): 153323 (2021)
[11]Hongwei Li, Yingpeng Hu, Yixuan Cao, Ganbin Zhou, Ping Luo: Rich-text Document Styling Restoration via Reinforcement Learning. Frontiers Comput. Sci. (2021)
[12]Yixuan Cao, Feng Hong, Hongwei Li, Ping Luo: A Bottom-Up DAG Structure Extraction Model for Math Word Problems. AAAI 2021: 39-46
[13]Rongyu Cao, Ping Luo: Extracting Zero-shot Structured Information from Form-like Documents Pretraining with Keys and Triggers. AAAI 2021
[14]Zhengqi Xu, Yixuan Cao, Rongyu Cao, Guoxiang Li, Xuanqiang Liu, Yan Pang, Yangbin Wang, Jianfei Zhang, Allie Cheung, Matthew Tam, Lukas Petrikas, Ping Luo: Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies. CIKM 2021: 4264-4272
[15]Rongyu Cao, Hongwei Li, Ganbin Zhou, Ping Luo: Towards Document Panoptic Segmentation with Pinpoint Accuracy: Method and Evaluation. ICDAR (2) 2021: 3-18
[16]Qingping Yang, Yingpeng Hu, Rongyu Cao, Hongwei Li, Ping Luo: Zero-shot Key Information Extraction from Mixed-Style Tables: Pre-training on Wikipedia. ICDM 2021: 1451-1456
[17]Qingping Yang, Yixuan Cao, Hongwei Li, Ping Luo: Numerical Formula Recognition from Tables. KDD 2021: 1986-1996
[18]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He: Corrigendum to “Discovering and learning sensational episodes of news events”. Inf. Syst. 93: 101364 (2020)
[19]Ping Luo, Kai Shu, Junjie Wu, Li Wan, Yong Tan: Exploring Correlation Network for Cheating Detection. ACM Trans. Intell. Syst. Technol. 11(1): 12:1-12:23 (2020)
[20]Hongwei Li, Qingping Yang, Yixuan Cao, Ganbin Zhou, Ping Luo: Semantic Matching over Matrix-Style Tables in Richly Formatted Documents. DEXA (1) 2020: 369-384
[21]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
[22]Dian Chen, Yixuan Cao, Ping Luo: Pairwise Causality Structure Towards Nested Causality Mining on Financial Statements. NLPCC 2020: 725-737
[23]Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo: Nested Relation Extraction with Iterative Neural Network. CIKM 2019: 1001-1010
[24]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)
[25]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He: Discovering and learning sensational episodes of news events. Inf. Syst. 78: 68-80 (2018)
[26]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)
[27]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)
[28]Juncen Li, Ping Luo, Fen Lin, Bo Chen: Conversational Model Adaptation via KL Divergence Regularization. AAAI 2018: 5213-5219
[29]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
[30]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
[31]Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo: Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142
[32]Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu: Adaboost with Auto-Evaluation for Conversational Models. IJCAI 2018: 4173-4179
[33]Yixuan Cao, Hongwei Li, Ping Luo, Jiaquan Yao: Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text. WWW 2018: 1795-1804
[34]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)
[35]Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He: Mechanism-Aware Neural Machine for Dialogue Response Generation. AAAI 2017: 3400-3407
[36]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He: Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017: 83-86
[37]Peifeng Yin, Ping Luo, Taiga Nakamura: Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach. KDD 2017: 1275-1284
[38]Lei Zhang, Ping Luo, Enhong Chen, Min Wang: Revisiting bound estimation of pattern measures: A generic framework. Inf. Sci. 339: 254-273 (2016)
[39]Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He: Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340
[40]Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He: Browsing Regularities in Hedonic Content Systems. IJCAI 2016: 3811-3817
[41]Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He: From Online Behaviors to Offline Retailing. KDD 2016: 175-184
[42]Wei Shen, Jianyong Wang, Ping Luo, Min Wang: A Hybrid Framework for Semantic Relation Extraction over Enterprise Data. Int. J. Semantic Web Inf. Syst. 11(3): 1-24 (2015)
[43]Lei Zhang, Ping Luo, Linpeng Tang, Enhong Chen, Qi Liu, Min Wang, Hui Xiong: Occupancy-Based Frequent Pattern Mining*. TKDD 10(2): 14: 1-14: 33 (2015)
[44]Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He: Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM 2015: 113-122
[45]Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He: Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM 2015: 1847-1850
[46]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He: Online Frequent Episode Mining. ICDE 2015: 891-902
[47]Wenchao Yu, Ariyam Das, Justin Wood, Wei Wang, Carlo Zaniolo, Ping Luo: Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market. ICDM 2015: 569-578
[48]Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He: Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. ICDM 2015: 1141-1146
[49]Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang: Matrix Factorization with Scale-Invariant Parameters. IJCAI 2015: 4017-4024
[50]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He: Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015: 4119-4125
[51]Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu: Convex Matrix Completion: A Trace-Ball Optimization Perspective. SDM 2015: 334-342
[52]Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang: Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM 2015: 945-953
获奖及荣誉：
1.中国计算机学会优秀博士论文奖, 2009
2.ACM CIKM 最佳学生论文奖（论文“Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation”），2012
3.ACM CIKM 最佳论文提名奖（论文“Collaborative Dual-PLSA: Mining Distinction and Commonalityacross Multiple Domains for Classification”），2010
4.SIAM on Data Mining 最佳论文提名奖（论文“Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization”），2010
5.中国科学院优秀毕业生，2007
6.中国科学院计算技术研究所所长特别奖学金，2007
罗平 副研究员
研究方向：数据挖掘；机器学习；文档智能
所属部门：智能信息处理重点实验室
导师类别：博导计算机软件与理论
个人网页：https://ping-luo.github.io/