簡 歷：
?????研究興趣主要集中在數(shù)據(jù)挖掘、人工智能、機(jī)器學(xué)習(xí)等相關(guān)領(lǐng)域的智能算法與模型研究，特別是富格式文檔的語義認(rèn)知計算，包括文檔識別與理解、自然語言和表格的語義理解，并關(guān)注智能技術(shù)在金融、互聯(lián)網(wǎng)領(lǐng)域的創(chuàng)新應(yīng)用。近年，在數(shù)據(jù)挖掘、人工智能、大數(shù)據(jù)等領(lǐng)域的多個頂級國際會議（SIGKDD、NeurIPS、IJCAI、WWW、ICED、CIKM、ICDM）和期刊（TKDE、TIT、 TKDD）上發(fā)表80多篇高質(zhì)量論文；其中CCF A類期刊和會議論文近40篇；中國計算機(jī)學(xué)會優(yōu)秀博士論文獲得者；所指導(dǎo)的學(xué)生論文獲得第21屆國際信息和知識管理大會（CIKM 2012，CCF B類）“最佳學(xué)生論文”獎，并兩次獲得數(shù)據(jù)挖掘領(lǐng)域國際主流學(xué)術(shù)會議“最佳論文提名獎”（CIKM 2010、SDM 2010）；曾任SIGKDD的Poster Session Chair, ICDM的Poster Session CHair，SIGKDD, ICDM, NLPCC等會議的領(lǐng)域主席，擁有10余項美國專利。同時，結(jié)合多年學(xué)術(shù)界和工業(yè)界的經(jīng)驗，曾為多個知名企業(yè)（騰訊、百度、上交所等）提供技術(shù)咨詢，牽頭撰寫證監(jiān)會監(jiān)管科技3.0中“金融文檔語義理解”行業(yè)工程方法建議書，在金融文檔分析方面的工作獲聘港交所證券期貨業(yè)金融科技研究發(fā)展中心顧問。
????歡迎有志于研究的學(xué)生報考我的研究生（碩士、博士）！?
主要論著：
[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]羅平,楊清平,曹逸軒,曹榮禹,何清. 非關(guān)系型表格理解前沿進(jìn)展. 中文信息學(xué)報. 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
科研項目：
獲獎及榮譽(yù)：
1.中國計算機(jī)學(xué)會優(yōu)秀博士論文獎, 2009
2.ACM CIKM 最佳學(xué)生論文獎（論文“Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation”），2012
3.ACM CIKM 最佳論文提名獎（論文“Collaborative Dual-PLSA: Mining Distinction and Commonalityacross Multiple Domains for Classification”），2010
4.SIAM on Data Mining 最佳論文提名獎（論文“Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization”），2010
5.中國科學(xué)院優(yōu)秀畢業(yè)生，2007
6.中國科學(xué)院計算技術(shù)研究所所長特別獎學(xué)金，2007
羅平 副研究員
研究方向：
所屬部門：智能信息處理重點實驗室
導(dǎo)師類別：博導(dǎo)計算機(jī)軟件與理論
聯(lián)系方式：
個人網(wǎng)頁：https://ping-luo.github.io/