Publications

2024 
pdfChaoxu Pang, Yixuan Cao, Chunhao Yang, Ping Luo: Uncovering Limitations of Large Language Models in Information Seeking from Tables. ACL (Findings) 2024: 1388-1409
2023 
pdfQiang Ding, Yixuan Cao, Ping Luo: Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification. NeurIPS 2023
pdfChaoxu Pang, Yixuan Cao, Qiang Ding, Ping Luo: Guideline Learning for In-Context Information Extraction. EMNLP 2023: 15372-15389
2022 
pdfRongyu 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)
pdfQingping Yang, Yixuan Cao, Ping Luo: Numerical Tuple Extraction from Tables with Pre-training. KDD 2022: 2233-2241
2021 
pdfYixuan Cao, Dian Chen, Zhengqi Xu, Hongwei Li, Ping Luo: Nested Relation Extraction with Iterative Neural Network. Frontiers Comput. Sci. 15(3): 153323 (2021)
pdfHongwei Li, Yingpeng Hu, Yixuan Cao, Ganbin Zhou, Ping Luo: Rich-text Document Styling Restoration via Reinforcement Learning. Frontiers Comput. Sci. (2021)
pdfYixuan Cao, Feng Hong, Hongwei Li, Ping Luo: A Bottom-Up DAG Structure Extraction Model for Math Word Problems. AAAI 2021: 39-46
pdfRongyu Cao, Ping Luo: Extracting Zero-shot Structured Information from Form-like Documents Pretraining with Keys and Triggers. AAAI 2021
pdfZhengqi 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
pdfRongyu Cao, Hongwei Li, Ganbin Zhou, Ping Luo: Towards Document Panoptic Segmentation with Pinpoint Accuracy: Method and Evaluation. ICDAR (2) 2021: 3-18
pdfQingping 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
pdfQingping Yang, Yixuan Cao, Hongwei Li, Ping Luo: Numerical Formula Recognition from Tables. KDD 2021: 1986-1996
2020 
pdfXiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He: Corrigendum to “Discovering and learning sensational episodes of news events”. Inf. Syst. 93: 101364 (2020)
pdfPing 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)
pdfHongwei Li, Qingping Yang, Yixuan Cao, Ganbin Zhou, Ping Luo: Semantic Matching over Matrix-Style Tables in Richly Formatted Documents. DEXA (1) 2020: 369-384
pdfHongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, Ping Luo: Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts. KDD 2020: 2599-2607
pdfDian Chen, Yixuan Cao, Ping Luo: Pairwise Causality Structure Towards Nested Causality Mining on Financial Statements. NLPCC 2020: 725-737
2019 
pdfYixuan Cao, Dian Chen, Hongwei Li, Ping Luo: Nested Relation Extraction with Iterative Neural Network. CIKM 2019: 1001-1010
2018 
pdfGanbin Zhou, Ping Luo, Qing He: Predicting compositional time series via autoregressive Dirichlet estimation. SCIENCE CHINA Information Sciences 61(9): 098106: 1-098106: 3 (2018)
pdfXiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He: Discovering and learning sensational episodes of news events. Inf. Syst. 78: 68-80 (2018)
pdfFuzhen 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)
pdfXiang 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)
pdfJuncen Li, Ping Luo, Fen Lin, Bo Chen: Conversational Model Adaptation via KL Divergence Regularization. AAAI 2018: 5213-5219
pdfGanbin 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
pdfGanbin 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
pdfKai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo: Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142
pdfJuncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu: Adaboost with Auto-Evaluation for Conversational Models. IJCAI 2018: 4173-4179
pdfYixuan Cao, Hongwei Li, Ping Luo, Jiaquan Yao: Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text. WWW 2018: 1795-1804
2017 
pdfEnhong 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)
pdfGanbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He: Mechanism-Aware Neural Machine for Dialogue Response Generation. AAAI 2017: 3400-3407
pdfXiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He: Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017: 83-86
pdfPeifeng Yin, Ping Luo, Taiga Nakamura: Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach. KDD 2017: 1275-1284
2016 
pdfLei Zhang, Ping Luo, Enhong Chen, Min Wang: Revisiting bound estimation of pattern measures: A generic framework. Inf. Sci. 339: 254-273 (2016)
pdfFuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He: Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340
pdfPing Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He: Browsing Regularities in Hedonic Content Systems. IJCAI 2016: 3811-3817
pdfPing Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He: From Online Behaviors to Offline Retailing. KDD 2016: 175-184
2015 
pdfWei 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)
pdfLei 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)
pdfXin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He: Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM 2015: 113-122
pdfXin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He: Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM 2015: 1847-1850
pdfXiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He: Online Frequent Episode Mining. ICDE 2015: 891-902
pdfWenchao 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
pdfFuzhen 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
pdfGuangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang: Matrix Factorization with Scale-Invariant Parameters. IJCAI 2015: 4017-4024
pdfFuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He: Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015: 4119-4125
pdfGuangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu: Convex Matrix Completion: A Trace-Ball Optimization Perspective. SDM 2015: 334-342
pdfXinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang: Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM 2015: 945-953
2014 
pdfXu Pu, Jianyong Wang, Zhenhua Song, Ping Luo, Min Wang: Efficient incremental update and querying in AWETO RDF storage system. Data Knowl. Eng. 89: 55-75 (2014)
pdfXiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen: Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. 257: 101-114 (2014)
pdfNing An, Lili Jiang, Jianyong Wang, Ping Luo, Min Wang, Bing Nan Li: Toward detection of aliases without string similarity. Inf. Sci. 261: 89-100 (2014)
pdfFuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong: Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Trans. Cybernetics 44(7): 1191-1203 (2014)
pdfXin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He: Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM 2014: 441-450
pdfKai Shu, Ping Luo, Wan Li, Peifeng Yin, Linpeng Tang: Deal or deceit: detecting cheating in distribution channels. CIKM 2014: 1419-1428
pdfXin Li, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong, Chu Guan: Mining user tasks from print logs. IJCNN 2014: 1250-1257
pdfXiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi: Discovering and learning sensational episodes of news events. WWW (Companion Volume) 2014: 217-218
2013 
pdfGensheng Zhang, Xiao Jiang, Ping Luo, Min Wang, Chengkai Li: Discovering General Prominent Streaks in Sequence Data. TKDD 8(2): 9:1-9:37 (2013)
pdfLili Jiang, Ping Luo, Jianyong Wang, Yuhong Xiong, Bingduan Lin, Min Wang, Ning An: GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases. ICDM 2013: 310-319
pdfGuangxiang Zeng, Ping Luo, Enhong Chen, Min Wang: From Social User Activities to People Affiliation. ICDM 2013: 1277-1282
pdfFuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi: Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI 2013: 1960-1967
pdfWei Shen, Jianyong Wang, Ping Luo, Min Wang: Linking named entities in Tweets with knowledge base via user interest modeling. KDD 2013: 68-76
pdfPeifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang: Silence is also evidence: interpreting dwell time for recommendation from psychological perspective. KDD 2013: 989-997
pdfWenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi: Embedding with Autoencoder Regularization. ECML/PKDD (3) 2013: 208-223
pdfPeifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang: App recommendation: a contest between satisfaction and temptation. WSDM 2013: 395-404
pdfFuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi: Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM 2013: 425-434
2012 
pdfFuzhen 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 Trans. Knowl. Data Eng. 24(11): 2025-2039 (2012)
pdfLinpeng Tang, Lei Zhang, Ping Luo, Min Wang: Incorporating occupancy into frequent pattern mining for high quality pattern recommendation. CIKM 2012: 75-84
pdfWei Shen, Jianyong Wang, Ping Luo, Min Wang: A graph-based approach for ontology population with named entities. CIKM 2012: 345-354
pdfLei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu: Harnessing the wisdom of the crowds for accurate web page clipping. KDD 2012: 570-578
pdfWei Shen, Jianyong Wang, Ping Luo, Min Wang: LIEGE::link entities in web lists with knowledge base. KDD 2012: 1424-1432
pdfLili Jiang, Jianyong Wang, Ping Luo, Ning An, Min Wang: Towards alias detection without string similarity: an active learning based approach. SIGIR 2012: 1155-1156
pdfPeifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee: A straw shows which way the wind blows: ranking potentially popular items from early votes. WSDM 2012: 623-632
pdfWei Shen, Jianyong Wang, Ping Luo, Min Wang: LINDEN: linking named entities with knowledge base via semantic knowledge. WWW 2012: 449-458
pdfWei Shen, Jianyong Wang, Ping Luo, Min Wang: APOLLO: a general framework for populating ontology with named entities via random walks on graphs. WWW (Companion Volume) 2012: 595-596
2011 
pdfFuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi: Exploiting associations between word clusters and document classes for cross-domain text categorization. Statistical Analysis and Data Mining 4(1): 100-114 (2011)
pdfXu Pu, Jianyong Wang, Ping Luo, Min Wang: AWETO: efficient incremental update and querying in rdf storage system. CIKM 2011: 2445-2448
pdfXudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen: Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI 2011: 1396-1401
pdfXiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu: Prominent streak discovery in sequence data. KDD 2011: 1280-1288
pdfWei Shen, Jianyong Wang, Ping Luo, Min Wang, Conglei Yao: REACTOR: a framework for semantic relation extraction and tagging over enterprise data. WWW (Companion Volume) 2011: 121-122
2010 
pdfFuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi: Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE Trans. Knowl. Data Eng. 22(12): 1664-1678 (2010)
pdfFuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong: Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. CIKM 2010: 359-368
pdfFuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi: D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. ICDM 2010: 709-718
pdfZhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen: Topic Modeling Ensembles. ICDM 2010: 1031-1036
pdfFuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi: Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. SDM 2010: 13-24
2009 
pdfPing Luo, Hui Xiong, Guoxing Zhan, Junjie Wu, Zhongzhi Shi: Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization. IEEE Trans. Knowl. Data Eng. 21(9): 1249-1262 (2009)
pdfYuhong Xiong, Ping Luo, Yong Zhao, Fen Lin, Shicong Feng, Baoyao Zhou, Liwei Zheng: OfCourse: web content discovery, classification and information extraction for online course materials. CIKM 2009: 2077-2078
pdfPing Luo, Jian Fan, Sam Liu, Fen Lin, Yuhong Xiong, Jerry Liu: Web article extraction for web printing: a DOM+visual based approach. ACM Symposium on Document Engineering 2009: 66-69
pdfZhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen: Topic Modeling for Sequences of Temporal Activities. ICDM 2009: 980-985
pdfPing Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi: Towards combining web classification and web information extraction: a case study. KDD 2009: 1235-1244
2008 
pdfPing Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He: Transfer learning from multiple source domains via consensus regularization. CIKM 2008: 103-112
2007 
pdfPing Luo, Kevin Lü, Zhongzhi Shi, Qing He: Distributed data mining in grid computing environments. Future Generation Comp. Syst. 23(1): 84-91 (2007)
pdfPing Luo, Kevin Lü, Zhongzhi Shi: A revisit of fast greedy heuristics for mapping a class of independent tasks onto heterogeneous computing systems. J. Parallel Distrib. Comput. 67(6): 695-714 (2007)
pdfPing Luo, Guoxing Zhan, Qing He, Zhongzhi Shi, Kevin Lü: On Defining Partition Entropy by Inequalities. IEEE Trans. Information Theory 53(9): 3233-3239 (2007)
pdfQing He, Xiu-Rong Zhao, Ping Luo, Zhongzhi Shi: Combination Methodologies of Multi-agent Hyper Surface Classifiers: Design and Implementation Issues. AIS-ADM 2007: 100-113
pdfPing Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi: Distributed classification in peer-to-peer networks. KDD 2007: 968-976