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ORCIDHaifeng Li 0006
Person information
- affiliation: Central University of Finance and Economics, School of Information, Beijing, China
- affiliation (PhD 2009): Renmin University of China, School of Information, Beijing, China
Other persons with the same name
- Haifeng Li — disambiguation page
- Haifeng Li 0001
![[0000-0002-2534-2299]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2534-2299")
— Harbin Institute of Technology, School of Computer Science and Technology, China (and 2 more) - Haifeng Li 0002 — Zhejiang University, State Key Laboratory of Modern Optical Instrumentations, Hangzhou, China
- Haifeng Li 0003 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Haifeng Li 0004 — Jinan University, College of Information Science and Technology / College of Cyber Security, Guangzhou, China (and 2 more)
- Haifeng Li 0005 — South China University of Technology, School of Electric Power, Guangzhou, China
- Haifeng Li 0007 — Central South University, School of Geosciences and Info-Physics, Changsha, Hunan, China (and 1 more)
- Haifeng Li 0008 — Civil Aviation University of China, Computer Science Department, Tianjin, China (and 2 more)
- Haifeng Li 0009 — Dalian University of Technology, School of Software, China
- Haifeng Li 0010 — Jiangsu Electric Power Company, State Grid, Nanjing, China
- Haifeng Li 0011 — Suzhou University of Science and Technology, School of Electronic and Information Engineering, China
- Haifeng Li 0012 — Motorola, Inc., Applied Research Center, Tempe, AZ, USA (and 2 more)
- Haifeng Li 0013 — Beihang University, School of reliability and systems engineering, Beijing, China
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Journal Articles
- 2024
[j8]Haifeng Li, Mo Hai:
Deep Reinforcement Learning Model for Stock Portfolio Management Based on Data Fusion. Neural Process. Lett. 56(2): 108 (2024)- 2019
- [j7]Haifeng Li, Mo Hai, Ning Zhang, Jianming Zhu, Yue Wang, Huaihu Cao:
Probabilistic maximal frequent itemset mining methods over uncertain databases. Intell. Data Anal. 23(6): 1219-1241 (2019) - [j6]Mo Hai, Haifeng Li, Zhekun Ma, Xiaomei Gao:
Algorithm for Detecting Communities in Complex Networks Based on Hadoop. Symmetry 11(11): 1382 (2019) - 2018
- [j5]Haifeng Li, Ning Zhang, Jianming Zhu, Yue Wang, Huaihu Cao:
Probabilistic frequent itemset mining over uncertain data streams. Expert Syst. Appl. 112: 274-287 (2018) - 2017
- [j4]Yue Wang, Liang Chen, Li Zhang, Haifeng Li, Huaihu Cao, Jianming Zhu:
On Carrier Sensing Accuracy and Range Scaling Laws in Nakagami Fading Channels. Wirel. Commun. Mob. Comput. 2017 (2017) - 2014
- [j3]Haifeng Li, Ning Zhang, Jianming Zhu, Huaihu Cao, Yue Wang:
Efficient frequent itemset mining methods over time-sensitive streams. Knowl. Based Syst. 56: 281-298 (2014) - 2012
- [j2]Haifeng Li, Ning Zhang, Zhixin Chen:
A Simple but Effective Maximal Frequent Itemset Mining Algorithm over Streams. J. Softw. 7(1): 25-32 (2012) - 2009
- [j1]Haifeng Li, Hong Chen:
Mining non-derivable frequent itemsets over data stream. Data Knowl. Eng. 68(5): 481-498 (2009)
Conference and Workshop Papers
- 2023
- [c37]Mo Hai, Haifeng Li:
A Routing Algorithm of Blockchain Network Based on Reinforcement Learning. ICCCM 2023: 182-187 - 2021
- [c36]Mo Hai, Haifeng Li, Yangyang Huang:
Research on Online and Offline Blended Teaching Method for Big Data Course in Financial Universities. ICETC 2021: 129-133 - [c35]Wen-Xun Tang, Haifeng Li, Mo Hai, Yuejin Zhang:
Causal Analysis of Impact Factors of COVID-19 in China. ITQM 2021: 1483-1489 - 2019
- [c34]Xianya Jiang, Mo Hai, Haifeng Li:
Stock Classification Prediction Based on Spark. ITQM 2019: 243-250 - [c33]Haifeng Li, Ning Zhang, Mo Hai, Yuejin Zhang:
A General Feature Abstraction Method for Clustering Algorithm. ITQM 2019: 438-443 - [c32]Haifeng Li, Yuejin Zhang, Mo Hai:
Find the Overwhelming Transformers in Power Grid with an Optimized Clustering Method. ITQM 2019: 444-448 - [c31]Haifeng Li, Yuejin Zhang, Mo Hai:
Categorize the Power Grid Projects with SOM Method. ITQM 2019: 475-479 - [c30]Yanying Yu, Mo Hai, Haifeng Li:
A Classification Prediction Analysis of Flight Cancellation Based on Spark. ITQM 2019: 480-486 - [c29]Ruyu Bai, Mo Hai, Haifeng Li:
A Comparison of Credit Rating Classification Models Based on Spark- Evidence from Lending-club. ITQM 2019: 811-818 - 2018
- [c28]Haifeng Li, Xiaohua Chen, Yuejin Zhang, Mo Hai:
Prediction of Financing Goal of Crowdfunding Projects. ITQM 2018: 108-113 - [c27]Haifeng Li, Xiaohua Chen, Yuejin Zhang, Mo Hai, Hanqing Hu:
A New Factor in the Effect of Crowdfunding Projects. ITQM 2018: 114-119 - [c26]Haifeng Li, Xiaohua Chen, Yuejin Zhang, Mo Hai:
Empirical Analysis of Factors on Crowdfunding with Trust Theory. ITQM 2018: 120-126 - [c25]Mo Hai, Yuejing Zhang, Haifeng Li:
A Performance Comparison of Big Data Processing Platform Based on Parallel Clustering Algorithms. ITQM 2018: 127-135 - [c24]Wei Song, Yuejin Zhang, Jun Wang, Haifeng Li, Yajing Meng, Runtong Cheng:
Research on Characteristics and Value Analysis of Power Grid Data Asset. ITQM 2018: 158-164 - [c23]Haifeng Li, Yuejin Zhang, Mo Hai, Hanqing Hu:
Finding Fuzzy Close Frequent Itemsets from Databases. ITQM 2018: 242-247 - [c22]Luhua Zhang, Yuejin Zhang, Jun Wang, Xiao Wang, Haifeng Li, Runtong Cheng:
Research on Investment Decision Model of Distribution Grid Project Based on Transformer District. ITQM 2018: 306-312 - 2017
- [c21]Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang:
Fuzzy Maximal Frequent Itemset Mining Over Quantitative Databases. ACIIDS (1) 2017: 476-486 - [c20]Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang:
Finding Top-k Fuzzy Frequent Itemsets from Databases. DMBD 2017: 22-30 - [c19]Haifeng Li, Yuejin Zhang, Ning Zhang:
Evaluating the well-qualified borrowers from PaiPaiDai. ITQM 2017: 775-779 - [c18]Yuejin Zhang, Haifeng Li, Mo Hai, Jiaxuan Li, Aihua Li:
Determinants of loan funded successful in online P2P Lending. ITQM 2017: 896-901 - [c17]Haifeng Li, Yuejin Zhang, Ning Zhang:
Discovering Top-k Probabilistic Frequent Itemsets from Uncertain Databases. ITQM 2017: 1124-1132 - 2016
- [c16]Haifeng Li, Ning Zhang:
Probabilistic Maximal Frequent Itemset Mining Over Uncertain Databases. DASFAA (1) 2016: 149-163 - [c15]Haifeng Li, Ning Zhang, Yuejin Zhang, Yue Wang:
Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling. FSDM 2016: 159-166 - [c14]Haifeng Li, Yue Wang:
Mining Probabilistic Frequent Itemsets with Exact Methods. FSDM 2016: 179-185 - 2012
- [c13]Ning Zhang, Haifeng Li:
Process Modeling and Reengineering in the Integration Stage of Electronic Government. WISM 2012: 167-174 - 2011
- [c12]Haifeng Li, Ning Zhang:
A False Negative Maximal Frequent Itemset Mining Algorithm over Stream. ADMA (1) 2011: 29-41 - [c11]Haifeng Li, Ning Zhang:
A Simple But Effective Stream Maximal Frequent Itemset Mining Algorithm. CIS 2011: 1268-1272 - [c10]Haifeng Li, Ning Zhang, Yanmei Chai:
Frequent itemset mining over time-sensitive streams. FSKD 2011: 1450-1453 - [c9]Yanmei Chai, Jinchang Ren, Wenying Han, Haifeng Li:
Human gait recognition: Approaches, datasets and challenges. ICDP 2011: 1-6 - 2010
- [c8]Yanmei Chai, Tian Xia, Jianming Zhu, Haifeng Li:
Intelligent Digital Photo Management System Using Ontology and SWRL. CIS 2010: 18-22 - [c7]Haifeng Li, Ning Zhang:
Mining maximal frequent itemsets on graphics processors. FSKD 2010: 1461-1464 - 2008
- [c6]Haifeng Li, Hong Chen:
Moment+: Mining Closed Frequent Itemsets over Data Stream. ADMA 2008: 612-619 - [c5]Haifeng Li, Hong Chen:
DSOSW: A Deleting Strategy in Mining Frequent Itemsets over Sliding Window of Stream. ISIP 2008: 135-138 - [c4]Haifeng Li, Hong Chen:
Improve Frequent Closed Itemsets Mining over Data Stream with Bitmap. SNPD 2008: 399-404 - [c3]Haifeng Li, Zongjian Lu, Hong Chen:
Mining Approximate Closed Frequent Itemsets over Stream. SNPD 2008: 405-410 - 2007
- [c2]Haifeng Li, Hong Chen:
GraSeq : A Novel Approximate Mining Approach of Sequential Patterns over Data Stream. ADMA 2007: 401-411 - [c1]Haifeng Li, Hong Chen:
A Multiple Level Sequential Pattern Mining Model over Data Stream. DMIN 2007: 350-343
Informal and Other Publications
- 2023
- [i1]Haifeng Li, Mo Hai, Dong Tang:
A Multi-level Distillation based Dense Passage Retrieval Model. CoRR abs/2312.16821 (2023)
Coauthor Index
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