Publications

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