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ORCIDPing Luo 0001
罗平
Person information
- unicode name: 罗平
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation (former): Hewlett Packard Labs China, Beijing, China
Other persons with the same name
- Ping Luo — disambiguation page
- Ping Luo 0002
![[0000-0002-6685-7950]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6685-7950")
— University of Hong Kong, Department of Computer Science, Hong Kong (and 3 more) - Ping Luo 0003 — University of Saskatchewan, Division of Biomedical Engineering, Saskatoon, SK, Canada
- Ping Luo 0004 — Tsinghua University, Key Laboratory for Information System Security, Beijing, China (and 1 more)
- Ping Luo 0005 — University of Electronic Science and Technology of China, Institute of Electronic and Information Engineering, State Key Laboratory of Electronic Thin Films and Integrated Devices, China
- Ping Luo 0006 — Guangzhou University, School of Economics and Statistics, China
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2020 – today
- 2024
[c80]Chaoxu Pang, Yixuan Cao, Chunhao Yang, Ping Luo:
Uncovering Limitations of Large Language Models in Information Seeking from Tables. ACL (Findings) 2024: 1388-1409- [i7]Chaoxu Pang, Yixuan Cao, Chunhao Yang, Ping Luo:
Uncovering Limitations of Large Language Models in Information Seeking from Tables. CoRR abs/2406.04113 (2024) - [i6]Qiang Ding, Lvzhou Luo, Yixuan Cao, Ping Luo:
Attention with Dependency Parsing Augmentation for Fine-Grained Attribution. CoRR abs/2412.11404 (2024) - 2023
- [c79]Chaoxu Pang, Yixuan Cao, Qiang Ding, Ping Luo:
Guideline Learning for In-Context Information Extraction. EMNLP 2023: 15372-15389 - [c78]Qiang Ding, Yixuan Cao, Ping Luo:
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification. NeurIPS 2023 - [i5]Chaoxu Pang, Yixuan Cao, Qiang Ding, Ping Luo:
Guideline Learning for In-context Information Extraction. CoRR abs/2310.05066 (2023) - 2022
- [j29]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) - [c77]Qingping Yang, Yixuan Cao, Ping Luo:
Numerical Tuple Extraction from Tables with Pre-training. KDD 2022: 2233-2241 - 2021
- [j28]Yixuan Cao, Dian Chen, Zhengqi Xu, Hongwei Li, Ping Luo:
Nested relation extraction with iterative neural network. Frontiers Comput. Sci. 15(3): 153323 (2021) - [j27]Hongwei Li, Yingpeng Hu, Yixuan Cao, Ganbin Zhou, Ping Luo:
Rich-text document styling restoration via reinforcement learning. Frontiers Comput. Sci. 15(4): 154328 (2021) - [c76]Yixuan Cao, Feng Hong, Hongwei Li, Ping Luo:
A Bottom-Up DAG Structure Extraction Model for Math Word Problems. AAAI 2021: 39-46 - [c75]Rongyu Cao, Ping Luo:
Extracting Zero-shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers. AAAI 2021: 12612-12620 - [c74]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 - [c73]Rongyu Cao, Hongwei Li, Ganbin Zhou, Ping Luo:
Towards Document Panoptic Segmentation with Pinpoint Accuracy: Method and Evaluation. ICDAR (2) 2021: 3-18 - [c72]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 - [c71]Qingping Yang, Yixuan Cao, Hongwei Li, Ping Luo:
Numerical Formula Recognition from Tables. KDD 2021: 1986-1996 - [i4]Rongyu Cao, Yixuan Cao, Ganbin Zhou, Ping Luo:
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application. CoRR abs/2105.09297 (2021) - 2020
- [j26]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. Inf. Syst. 93: 101364 (2020) - [j25]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) - [c70]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 - [c69]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 - [c68]Dian Chen, Yixuan Cao, Ping Luo:
Pairwise Causality Structure: Towards Nested Causality Mining on Financial Statements. NLPCC (1) 2020: 725-737
2010 – 2019
- 2019
- [j24]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. Inf. Syst. 81: 178 (2019) - [c67]Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo:
Nested Relation Extraction with Iterative Neural Network. CIKM 2019: 1001-1010 - [i3]Ganbin Zhou, Ping Luo, Jingwu Chen, Fen Lin, Leyu Lin, Qing He:
Atom Responding Machine for Dialog Generation. CoRR abs/1905.05532 (2019) - 2018
- [j23]Ganbin Zhou, Ping Luo, Qing He:
Predicting compositional time series via autoregressive Dirichlet estimation. Sci. China Inf. Sci. 61(9): 098106:1-098106:3 (2018) - [j22]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Discovering and learning sensational episodes of news events. Inf. Syst. 78: 68-80 (2018) - [j21]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM Trans. Intell. Syst. Technol. 9(2): 16:1-16:17 (2018) - [j20]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) - [c66]Juncen Li, Ping Luo, Fen Lin, Bo Chen:
Conversational Model Adaptation via KL Divergence Regularization. AAAI 2018: 5213-5219 - [c65]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 - [c64]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 - [c63]Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo:
Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142 - [c62]Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu:
Adaboost with Auto-Evaluation for Conversational Models. IJCAI 2018: 4173-4179 - [c61]Yixuan Cao, Hongwei Li, Ping Luo, Jiaquan Yao:
Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text. WWW 2018: 1795-1804 - [i2]Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He:
Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. CoRR abs/1808.07228 (2018) - 2017
- [j19]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) - [c60]Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He:
Mechanism-Aware Neural Machine for Dialogue Response Generation. AAAI 2017: 3400-3407 - [c59]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017: 83-86 - [c58]Peifeng Yin, Ping Luo, Taiga Nakamura:
Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach. KDD 2017: 1275-1284 - [i1]Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He:
Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. CoRR abs/1705.00321 (2017) - 2016
- [j18]Lei Zhang, Ping Luo, Enhong Chen, Min Wang:
Revisiting bound estimation of pattern measures: A generic framework. Inf. Sci. 339: 254-273 (2016) - [c57]Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He:
Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340 - [c56]Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He:
Browsing Regularities in Hedonic Content Systems. IJCAI 2016: 3811-3817 - [c55]Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He:
From Online Behaviors to Offline Retailing. KDD 2016: 175-184 - 2015
- [j17]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) - [j16]Lei Zhang, Ping Luo, Linpeng Tang, Enhong Chen, Qi Liu, Min Wang, Hui Xiong:
Occupancy-Based Frequent Pattern Mining*. ACM Trans. Knowl. Discov. Data 10(2): 14:1-14:33 (2015) - [c54]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 - [c53]Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu:
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM 2015: 453-462 - [c52]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 - [c51]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Online Frequent Episode Mining. ICDE 2015: 891-902 - [c50]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 - [c49]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 - [c48]Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang:
Matrix Factorization with Scale-Invariant Parameters. IJCAI 2015: 4017-4024 - [c47]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015: 4119-4125 - [c46]Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu:
Convex Matrix Completion: A Trace-Ball Optimization Perspective. SDM 2015: 334-342 - [c45]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 - 2014
- [j15]Xu 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) - [j14]Xiang 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) - [j13]Ning 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) - [j12]Fuzhen 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. Cybern. 44(7): 1191-1203 (2014) - [c44]Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He:
Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM 2014: 441-450 - [c43]Kai Shu, Ping Luo, Wan Li, Peifeng Yin, Linpeng Tang:
Deal or deceit: detecting cheating in distribution channels. CIKM 2014: 1419-1428 - [c42]Xin Li, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong, Chu Guan:
Mining user tasks from print logs. IJCNN 2014: 1250-1257 - [c41]Xiang 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
- [j11]Gensheng Zhang, Xiao Jiang, Ping Luo, Min Wang, Chengkai Li:
Discovering General Prominent Streaks in Sequence Data. ACM Trans. Knowl. Discov. Data 8(2): 9:1-9:37 (2013) - [c40]Lili 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 - [c39]Guangxiang Zeng, Ping Luo, Enhong Chen, Min Wang:
From Social User Activities to People Affiliation. ICDM 2013: 1277-1282 - [c38]Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi:
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI 2013: 1960-1967 - [c37]Wei Shen, Jianyong Wang, Ping Luo, Min Wang:
Linking named entities in Tweets with knowledge base via user interest modeling. KDD 2013: 68-76 - [c36]Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang:
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective. KDD 2013: 989-997 - [c35]Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Embedding with Autoencoder Regularization. ECML/PKDD (3) 2013: 208-223 - [c34]Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang:
App recommendation: a contest between satisfaction and temptation. WSDM 2013: 395-404 - [c33]Fuzhen 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
- [j10]Li Zeng, Ling Li, Lian Duan, Kevin Lu, Zhongzhi Shi, Maoguang Wang, Wenjuan Wu, Ping Luo:
Distributed data mining: a survey. Inf. Technol. Manag. 13(4): 403-409 (2012) - [j9]Fuzhen 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) - [j8]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". IEEE Trans. Knowl. Data Eng. 24(12): 2301 (2012) - [c32]Linpeng Tang, Lei Zhang, Ping Luo, Min Wang:
Incorporating occupancy into frequent pattern mining for high quality pattern recommendation. CIKM 2012: 75-84 - [c31]Wei Shen, Jianyong Wang, Ping Luo, Min Wang:
A graph-based approach for ontology population with named entities. CIKM 2012: 345-354 - [c30]Lei 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 - [c29]Wei Shen, Jianyong Wang, Ping Luo, Min Wang:
LIEGE: : link entities in web lists with knowledge base. KDD 2012: 1424-1432 - [c28]Lili Jiang, Jianyong Wang, Ping Luo, Ning An, Min Wang:
Towards alias detection without string similarity: an active learning based approach. SIGIR 2012: 1155-1156 - [c27]Peifeng 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 - [c26]Wei Shen, Jianyong Wang, Ping Luo, Min Wang:
LINDEN: linking named entities with knowledge base via semantic knowledge. WWW 2012: 449-458 - [c25]Wei 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
- [j7]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting associations between word clusters and document classes for cross-domain text categorization. Stat. Anal. Data Min. 4(1): 100-114 (2011) - [c24]Xu Pu, Jianyong Wang, Ping Luo, Min Wang:
AWETO: efficient incremental update and querying in rdf storage system. CIKM 2011: 2445-2448 - [c23]Jian Fan, Ping Luo, Joshi Parag:
Title identification of web article pages using HTML and visual features. Imaging and Printing in a Web 2.0 World 2011: 78790K - [c22]Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI 2011: 1396-1401 - [c21]Jian Fan, Ping Luo, Suk Hwan Lim, Sam Liu, Joshi Parag, Jerry Liu:
Article clipper: a system for web article extraction. KDD 2011: 743-746 - [c20]Xiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu:
Prominent streak discovery in sequence data. KDD 2011: 1280-1288 - [c19]Wei 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
- [j6]Fuzhen 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) - [c18]Fuzhen 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 - [c17]Fuzhen 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 - [c16]Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen:
Topic Modeling Ensembles. ICDM 2010: 1031-1036 - [c15]Fuzhen 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
2000 – 2009
- 2009
- [j5]Ping 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) - [c14]Yuhong 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 - [c13]Ping 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 - [c12]Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen:
Topic Modeling for Sequences of Temporal Activities. ICDM 2009: 980-985 - [c11]Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi:
Towards combining web classification and web information extraction: a case study. KDD 2009: 1235-1244 - [c10]Baoyao Zhou, Ping Luo, Yuhong Xiong, Wei Liu:
Wikipedia-Graph Based Key Concept Extraction towards News Analysis. CEC 2009: 121-128 - 2008
- [c9]Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He:
Transfer learning from multiple source domains via consensus regularization. CIKM 2008: 103-112 - 2007
- [j4]Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He:
Distributed data mining in grid computing environments. Future Gener. Comput. Syst. 23(1): 84-91 (2007) - [j3]Ping Luo, Kevin Lü, Zhongzhi Shi:
A revisit of fast greedy heuristics for mapping a class of independent tasks onto heterogeneous computing systems. J. Parallel Distributed Comput. 67(6): 695-714 (2007) - [j2]Ping Luo, Guoxing Zhan, Qing He, Zhongzhi Shi, Kevin Lü:
On Defining Partition Entropy by Inequalities. IEEE Trans. Inf. Theory 53(9): 3233-3239 (2007) - [c8]Qing 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 - [c7]Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi:
Distributed classification in peer-to-peer networks. KDD 2007: 968-976 - 2006
- [j1]Ping Luo, Kevin Lü, Rui Huang, Qing He, Zhongzhi Shi:
A heterogeneous computing system for data mining workflows in multi-agent environments. Expert Syst. J. Knowl. Eng. 23(5): 258-272 (2006) - [c6]Ping Luo, Kevin Lü, Qing He, Zhongzhi Shi:
A Heterogeneous Computing System for Data Mining Workflows. BNCOD 2006: 177-189 - 2005
- [c5]Ping Luo, Qing He, Zhongzhi Shi:
Theoretical study on a new information entropy and its use in attribute reduction. IEEE ICCI 2005: 73-79 - [c4]Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Shi:
Execution Engine of Meta-learning System for KDD in Multi-agent Environment. AIS-ADM 2005: 149-160 - 2004
- [c3]Zhongzhi Shi, Ping Luo, Yalei Hao, Guohe Li, Markus Stumptner, Qing He, Gerald Quirchmayr:
Intelligent Technology for Well Logging Analysis. IIP 2004: 373-382 - [c2]Liangxi Qin, Ping Luo, Zhongzhi Shi:
Efficiently Mining Frequent Itemsets with Compact FP-Tree. IIP 2004: 397-406 - [c1]Qing He, Ping Luo, Zhongzhi Shi, Yalei Hao, Markus Stumptner:
A Prediction Approach to Well Logging. IIP 2004: 531-539
Coauthor Index
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