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ORCIDJian Pei
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Jian Pei 0001
![[0000-0002-2200-8711]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2200-8711")
— Duke University, Department of Computer Science, Durham, NC, USA (and 2 more) - Jian Pei 0002 — Ningbo University, Faculty of Electrical Engineering and Computer Science, Ningbo, China
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2020 – today
- 2024
[j35]Jian Pei, Fukang Zhu:
Marginal likelihood estimation for the negative binomial INGARCH model. Commun. Stat. Simul. Comput. 53(4): 1814-1823 (2024)- [j34]Jian Pei, Zhong-Liang Zhang, Wan-An Liu:
Sentiment classification of movie reviews: a powerful method based on ensemble of classifiers and features. Int. J. Mach. Learn. Cybern. 15(12): 6027-6048 (2024) - [j33]Huijia Li, Haobin Cao, Yuhao Feng, Xiaoyan Li, Jian Pei:
Optimization of Graph Clustering Inspired by Dynamic Belief Systems. IEEE Trans. Knowl. Data Eng. 36(11): 6773-6785 (2024) - [j32]Jian Pei, Gang Wang, Dominic K. C. Ho, Lei Huang:
Moving Transceivers Aided Localization of a Far-Field Object. IEEE Trans. Mob. Comput. 23(12): 12795-12810 (2024) - [c32]João Matos, Jack Gallifant, Jian Pei, A. Ian Wong:
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. AMAI@MICCAI 2024: 210-220 - [i5]João Matos, Jack Gallifant, Jian Pei, An-Kwok Ian Wong:
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. CoRR abs/2407.00242 (2024) - 2023
- [j31]Jian Pei, Liang Xu, Yitong Huang, Qingbin Jiao, Mingyu Yang, Ding Ma, Sijia Jiang, Hui Li, Yuhang Li, Siqi Liu, Wei Zhang, Jiahang Zhang, Xin Tan:
A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction. Sensors 23(2): 893 (2023) - [j30]Hui Li, Xin Tan, Qingbin Jiao, Yuhang Li, Siqi Liu, Jian Pei, Jiahang Zhang, Wei Zhang, Liang Xu:
Design and Study of a Reflector-Separated Light Dispersion-Compensated 3D Microscopy System. Sensors 23(9): 4516 (2023) - [j29]Jian Pei, Gang Wang, Dominic K. C. Ho, Lei Huang:
Reducing Bias for Multistatic Localization of a Moving Object by Transmitter at Unknown Position. IEEE Trans. Aerosp. Electron. Syst. 59(5): 5324-5341 (2023) - [j28]Huijia Li, Wenzhe Xu, Chenyang Qiu, Jian Pei:
Fast Markov Clustering Algorithm Based on Belief Dynamics. IEEE Trans. Cybern. 53(6): 3716-3725 (2023) - [c31]Jian Pei, Gang Wang, K. C. Ho, Lei Huang:
Bias Reduced Semidefinite Relaxation Method for Multistatic Localization in the Absence of Transmitter Position And Its Synchronization. ICASSP 2023: 1-5 - [e13]Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi:
The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA. Proceedings of Machine Learning Research 218, PMLR 2023 [contents] - 2022
- [j27]Lin Yang, Zhenyu Ma, Siqi Liu, Qingbin Jiao, Jiahang Zhang, Wei Zhang, Jian Pei, Hui Li, Yuhang Li, Yubo Zou, Yuxing Xu, Xin Tan:
Study of the Off-Axis Fresnel Zone Plate of a Microscopic Tomographic Aberration. Sensors 22(3): 1113 (2022) - [i4]Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang:
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. CoRR abs/2203.05212 (2022) - 2020
- [j26]Yanping Li, Qi Wang, Tao Wang, Jian Pei, Shuo Zhang:
Feature Extraction of EEG Signals Based on Local Mean Decomposition and Fuzzy Entropy. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2058017:1-2058017:13 (2020)
2010 – 2019
- 2019
- [c30]Jian Pei:
Mining Graphs and Networks: A 15-Year Journey. BigMine@KDD 2019 - [c29]Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin:
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features. NAACL-HLT (2) 2019: 56-63 - 2018
- [j25]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(5): i-vi (2018) - [j24]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(6): i-vi (2018) - [j23]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(7): i-vi (2018) - [j22]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(8): i-vi (2018) - [j21]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(9): i-vi (2018) - [j20]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(10): i-vi (2018) - [j19]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(11): i-vi (2018) - [j18]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(12): i-vi (2018) - [j17]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(13): i-vi (2018) - 2017
- [j16]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(1): i-vi (2017) - [j15]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(2): i-vi (2017) - [j14]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(3): i-vi (2017) - [j13]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(4): i-vi (2017) - 2016
- [j12]Jian Pei:
State of the Journal Editorial. IEEE Trans. Knowl. Data Eng. 28(1): 1 (2016) - 2015
- [j11]Jian Pei:
State of the Journal Editorial. IEEE Trans. Knowl. Data Eng. 27(1): 1-2 (2015) - 2014
- [e12]Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu C. Aggarwal, Nick Cercone, Vasant G. Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne:
2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5665-4 [contents] - 2013
- [e11]Qi He, Arun Iyengar, Wolfgang Nejdl, Jian Pei, Rajeev Rastogi:
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013. ACM 2013, ISBN 978-1-4503-2263-8 [contents] - [e10]Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7818, Springer 2013, ISBN 978-3-642-37452-4 [contents] - [e9]Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7819, Springer 2013, ISBN 978-3-642-37455-5 [contents] - [e8]Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers. Lecture Notes in Computer Science 7867, Springer 2013, ISBN 978-3-642-40318-7 [contents] - 2012
- [e7]Qiang Yang, Deepak Agarwal, Jian Pei:
The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012. ACM 2012, ISBN 978-1-4503-1462-6 [contents] - 2011
- [e6]Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu:
11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4408-3 [contents] - [e5]Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu:
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4409-0 [contents] - [e4]Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference. IEEE Computer Society 2011, ISBN 978-0-7695-4607-0 [contents] - [e3]Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop. IEEE Computer Society 2011 [contents]
2000 – 2009
- 2009
- [e2]Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li:
Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings. Lecture Notes in Computer Science 5678, Springer 2009, ISBN 978-3-642-03347-6 [contents] - 2008
- [j10]Aparna S. Varde, Jian Pei:
Advances in information and knowledge management. SIGIR Forum 42(1): 29-35 (2008) - [j9]Bin Zhou, Jian Pei, Wo-Shun Luk:
A brief survey on anonymization techniques for privacy preserving publishing of social network data. SIGKDD Explor. 10(2): 12-22 (2008) - [p3]Ming Hua, Jian Pei:
A Survey of Utility-based Privacy-Preserving Data Transformation Methods. Privacy-Preserving Data Mining 2008: 207-237 - [p2]Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei:
Privacy-Preserving Data Stream Classification. Privacy-Preserving Data Mining 2008: 487-510 - [i3]Emad Soroush, Kui Wu, Jian Pei:
Fast and Quality-Guaranteed Data Streaming in Resource-Constrained Sensor Networks. CoRR abs/0811.4672 (2008) - 2007
- [b1]Guozhu Dong, Jian Pei:
Sequence Data Mining. Advances in Database Systems 33, Kluwer 2007, ISBN 978-0-387-69936-3, pp. 1-137 - [j8]Raymond T. Ng, Jian Pei:
Introduction to the special issue on data mining for health informatics. SIGKDD Explor. 9(1): 1-2 (2007) - [c28]Jian Pei, Bin Jiang, Xuemin Lin, Yidong Yuan:
Probabilistic Skylines on Uncertain Data. VLDB 2007: 15-26 - [c27]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei:
Minimality Attack in Privacy Preserving Data Publishing. VLDB 2007: 543-554 - [c26]Ming Hua, Jian Pei, Ada Wai-Chee Fu, Xuemin Lin, Ho-fung Leung:
Efficiently Answering Top-k Typicality Queries on Large Databases. VLDB 2007: 890-901 - [p1]Jiawei Han, Yandong Cai, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang:
Multi-Dimensional Analysis of Data Streams Using Stream Cubes. Data Streams - Models and Algorithms 2007: 103-125 - [e1]Aparna S. Varde, Jian Pei:
Proceedings of the First Ph.D. Workshop in CIKM, PIKM 2007, Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 9, 2007. ACM 2007 [contents] - [i2]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei, Yip Sing Ho, Tai Wong, Yubao Liu:
Efficient Skyline Querying with Variable User Preferences on Nominal Attributes. CoRR abs/0710.2604 (2007) - 2006
- [j7]Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu:
Utility-based anonymization for privacy preservation with less information loss. SIGKDD Explor. 8(2): 21-30 (2006) - [j6]Jian Pei, Haixun Wang, Jian Liu, Ke Wang, Jianyong Wang, Philip S. Yu:
Discovering Frequent Closed Partial Orders from Strings. IEEE Trans. Knowl. Data Eng. 18(11): 1467-1481 (2006) - [c25]Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guozhu Dong:
Minimum Description Length Principle: Generators Are Preferable to Closed Patterns. AAAI 2006: 409-414 - [c24]Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei:
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures. DaWaK 2006: 405-416 - [c23]Junqi Zhang, Xiangdong Zhou, Wei Wang, Baile Shi, Jian Pei:
Using High Dimensional Indexes to Support Relevance Feedback Based Interactive Images Retrival. VLDB 2006: 1211-1214 - 2005
- [j5]Jian Pei:
Book Review on "Out of Their Minds: The Lives and Discoveries of 15 Great Computer Scientists". J. Comput. Sci. Technol. 20(1): 144-145 (2005) - [c22]Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang:
Efficiently Mining Frequent Closed Partial Orders. ICDM 2005: 753-756 - [c21]Wei Wang, Chen Wang, Yongtai Zhu, Baile Shi, Jian Pei, Xifeng Yan, Jiawei Han:
GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications. SIGMOD Conference 2005: 879-881 - [c20]Hui Yu, Jian Pei, Shiwei Tang, Dongqing Yang:
Mining Most General Multidimensional Summarization of Probably Groups in Data Warehouses. SSDBM 2005: 185-194 - [c19]Jian Pei, Wen Jin, Martin Ester, Yufei Tao:
Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. VLDB 2005: 253-264 - 2004
- [j4]Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han:
Mining Condensed Frequent-Pattern Bases. Knowl. Inf. Syst. 6(5): 570-594 (2004) - [c18]Dongqing Yang, Shiwei Tang, Jian Pei, Tengjiao Wang, Jun Gao:
Preface to CoMWIM 2004. ER (Workshops) 2004: 197 - [c17]Jian Pei, Shambhu J. Upadhyaya, Faisal Farooq, Venugopal Govindaraju:
Data Mining for Intrusion Detection: Techniques, Applications and Systems. ICDE 2004: 877 - [c16]Haixun Wang, Fang Chu, Wei Fan, Philip S. Yu, Jian Pei:
A Fast Algorithm for Subspace Clustering by Pattern Similarity. SSDBM 2004: 51-60 - [i1]Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra:
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 2004 - 2003
- [j3]Daxin Jiang, Jian Pei, Aidong Zhang:
Towards interactive exploration of gene expression patterns. SIGKDD Explor. 5(2): 79-90 (2003) - [c15]Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wang, Philip S. Yu:
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering. ICDM 2003: 259-266 - [c14]Yan Huang, Hui Xiong, Shashi Shekhar, Jian Pei:
Mining Confident Colocation Rules without A Support Threshold. SAC 2003: 497-501 - [c13]Hye-Chung Kum, Jian Pei, Wei Wang, Dean Duncan:
ApproxMAP: Approximate Mining of Consensus Sequential Patterns. SDM 2003: 311-315 - [c12]Laks V. S. Lakshmanan, Jian Pei, Yan Zhao:
QC-Trees: An Efficient Summary Structure for Semantic OLAP. SIGMOD Conference 2003: 64-75 - [c11]Laks V. S. Lakshmanan, Jian Pei, Yan Zhao:
SOCQET: Semantic OLAP with Compressed Cube and Summarization. SIGMOD Conference 2003: 658 - 2002
- [j2]Jian Pei, Jiawei Han:
Constrained frequent pattern mining: a pattern-growth view. SIGKDD Explor. 4(1): 31-39 (2002) - [c10]Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang:
Online Analytical Processing Stream Data: Is It Feasible? DMKD 2002 - [c9]Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han:
On Computing Condensed Frequent Pattern Bases. ICDM 2002: 378-385 - [c8]Laks V. S. Lakshmanan, Jian Pei, Jiawei Han:
Quotient Cube: How to Summarize the Semantics of a Data Cube. VLDB 2002: 778-789 - 2001
- [c7]Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal:
Multi-Dimensional Sequential Pattern Mining. CIKM 2001: 81-88 - [c6]Jian Pei, Anthony K. H. Tung, Jiawei Han:
Fault-Tolerant Frequent Pattern Mining: Problems and Challenges. DMKD 2001 - [c5]Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth. ICDE 2001: 215-224 - [c4]Jiawei Han, Laks V. S. Lakshmanan, Jian Pei:
Scalable frequent-pattern mining methods: an overview. KDD Tutorials 2001 - [c3]Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang:
Mining Multi-Dimensional Constrained Gradients in Data Cubes. VLDB 2001: 321-330 - 2000
- [j1]Jiawei Han, Jian Pei:
Mining Frequent Patterns by Pattern-Growth: Methodology and Implications. SIGKDD Explor. 2(2): 14-20 (2000) - [c2]Jian Pei, Jiawei Han, Runying Mao:
CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 21-30 - [c1]Jiawei Han, Jian Pei, Behzad Mortazavi-Asl, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
FreeSpan: frequent pattern-projected sequential pattern mining. KDD 2000: 355-359
Coauthor Index
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