GraSeq : A Novel Approximate Mining Approach of Sequential Patterns over Data Stream. - Haifeng Li 006; Hong Chen 001 (ADMA, 2007)

A Multiple Level Sequential Pattern Mining Model over Data Stream. - Haifeng Li 006; Hong Chen 001 (DMIN, 2007)

Moment+: Mining Closed Frequent Itemsets over Data Stream. - Haifeng Li 006; Hong Chen 001 (ADMA, 2008)

DSOSW: A Deleting Strategy in Mining Frequent Itemsets over Sliding Window of Stream. - Haifeng Li 006; Hong Chen 001 (ISIP, 2008)

Improve Frequent Closed Itemsets Mining over Data Stream with Bitmap. - Haifeng Li 006; Hong Chen 001 (SNPD, 2008)

Mining Approximate Closed Frequent Itemsets over Stream. - Haifeng Li 006; Zongjian Lu; Hong Chen 001 (SNPD, 2008)

Mining non-derivable frequent itemsets over data stream. - Haifeng Li 006; Hong Chen 001 (Data Knowl. Eng., 2009)

Intelligent Digital Photo Management System Using Ontology and SWRL. - Yanmei Chai; Tian Xia 009; Jianming Zhu; Haifeng Li 006 (CIS, 2010)

Mining maximal frequent itemsets on graphics processors. - Haifeng Li 006; Ning Zhang 022 (FSKD, 2010)

A False Negative Maximal Frequent Itemset Mining Algorithm over Stream. - Haifeng Li 006; Ning Zhang 022 (ADMA (1), 2011)

A Simple But Effective Stream Maximal Frequent Itemset Mining Algorithm. - Haifeng Li 006; Ning Zhang 022 (CIS, 2011)

Frequent itemset mining over time-sensitive streams. - Haifeng Li 006; Ning Zhang 022; Yanmei Chai (FSKD, 2011)

Human gait recognition: Approaches, datasets and challenges. - Yanmei Chai; Jinchang Ren; Wenying Han; Haifeng Li 006 (ICDP, 2011)

Process Modeling and Reengineering in the Integration Stage of Electronic Government. - Ning Zhang 022; Haifeng Li 006 (WISM, 2012)

A Simple but Effective Maximal Frequent Itemset Mining Algorithm over Streams. - Haifeng Li 006; Ning Zhang 022; Zhixin Chen (J. Softw., 2012)

Efficient frequent itemset mining methods over time-sensitive streams. - Haifeng Li 006; Ning Zhang 022; Jianming Zhu; Huaihu Cao; Yue Wang 014 (Knowl. Based Syst., 2014)

Probabilistic Maximal Frequent Itemset Mining Over Uncertain Databases. - Haifeng Li 006; Ning Zhang 022 (DASFAA (1), 2016)

Mining Probabilistic Frequent Itemsets with Exact Methods. - Haifeng Li 006; Yue Wang 014 (FSDM, 2016)

Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling. - Haifeng Li 006; Ning Zhang 022; Yuejin Zhang; Yue Wang 014 (FSDM, 2016)

Fuzzy Maximal Frequent Itemset Mining Over Quantitative Databases. - Haifeng Li 006; Yue Wang 014; Ning Zhang 022; Yuejin Zhang (ACIIDS (1), 2017)

Finding Top-k Fuzzy Frequent Itemsets from Databases. - Haifeng Li 006; Yue Wang 014; Ning Zhang 022; Yuejin Zhang (DMBD, 2017)

Evaluating the well-qualified borrowers from PaiPaiDai. - Haifeng Li 006; Yuejin Zhang; Ning Zhang 022 (ITQM, 2017)

Discovering Top-k Probabilistic Frequent Itemsets from Uncertain Databases. - Haifeng Li 006; Yuejin Zhang; Ning Zhang 022 (ITQM, 2017)

Determinants of loan funded successful in online P2P Lending. - Yuejin Zhang; Haifeng Li 006; Mo Hai; Jiaxuan Li; Aihua Li (ITQM, 2017)

On Carrier Sensing Accuracy and Range Scaling Laws in Nakagami Fading Channels. - Yue Wang 014; Liang Chen 009; Li Zhang; Haifeng Li 006; Huaihu Cao; Jianming Zhu (Wirel. Commun. Mob. Comput., 2017)

Prediction of Financing Goal of Crowdfunding Projects. - Haifeng Li 006; Xiaohua Chen; Yuejin Zhang; Mo Hai (ITQM, 2018)

Empirical Analysis of Factors on Crowdfunding with Trust Theory. - Haifeng Li 006; Xiaohua Chen; Yuejin Zhang; Mo Hai (ITQM, 2018)

A New Factor in the Effect of Crowdfunding Projects. - Haifeng Li 006; Xiaohua Chen; Yuejin Zhang; Mo Hai; Hanqing Hu (ITQM, 2018)

Finding Fuzzy Close Frequent Itemsets from Databases. - Haifeng Li 006; Yuejin Zhang; Mo Hai; Hanqing Hu (ITQM, 2018)

A Performance Comparison of Big Data Processing Platform Based on Parallel Clustering Algorithms. - Mo Hai; Yuejing Zhang; Haifeng Li 006 (ITQM, 2018)

Research on Characteristics and Value Analysis of Power Grid Data Asset. - Wei Song; Yuejin Zhang; Jun Wang; Haifeng Li 006; Yajing Meng; Runtong Cheng (ITQM, 2018)

Research on Investment Decision Model of Distribution Grid Project Based on Transformer District. - Luhua Zhang; Yuejin Zhang; Jun Wang; Xiao Wang; Haifeng Li 006; Runtong Cheng (ITQM, 2018)

Probabilistic frequent itemset mining over uncertain data streams. - Haifeng Li 006; Ning Zhang 022; Jianming Zhu; Yue Wang 014; Huaihu Cao (Expert Syst. Appl., 2018)

Find the Overwhelming Transformers in Power Grid with an Optimized Clustering Method. - Haifeng Li 006; Yuejin Zhang; Mo Hai (ITQM, 2019)

Categorize the Power Grid Projects with SOM Method. - Haifeng Li 006; Yuejin Zhang; Mo Hai (ITQM, 2019)

A General Feature Abstraction Method for Clustering Algorithm. - Haifeng Li 006; Ning Zhang 022; Mo Hai; Yuejin Zhang (ITQM, 2019)

A Comparison of Credit Rating Classification Models Based on Spark- Evidence from Lending-club. - Ruyu Bai; Mo Hai; Haifeng Li 006 (ITQM, 2019)

Stock Classification Prediction Based on Spark. - Xianya Jiang; Mo Hai; Haifeng Li 006 (ITQM, 2019)

A Classification Prediction Analysis of Flight Cancellation Based on Spark. - Yanying Yu; Mo Hai; Haifeng Li 006 (ITQM, 2019)

Probabilistic maximal frequent itemset mining methods over uncertain databases. - Haifeng Li 006; Mo Hai; Ning Zhang 022; Jianming Zhu; Yue Wang 014; Huaihu Cao (Intell. Data Anal., 2019)

Algorithm for Detecting Communities in Complex Networks Based on Hadoop. - Mo Hai; Haifeng Li 006; Zhekun Ma; Xiaomei Gao (Symmetry, 2019)

Research on Online and Offline Blended Teaching Method for Big Data Course in Financial Universities. - Mo Hai; Haifeng Li 006; Yangyang Huang (ICETC, 2021)

Causal Analysis of Impact Factors of COVID-19 in China. - Wen-Xun Tang; Haifeng Li 006; Mo Hai; Yuejin Zhang (ITQM, 2021)

A Routing Algorithm of Blockchain Network Based on Reinforcement Learning. - Mo Hai; Haifeng Li 006 (ICCCM, 2023)

A Multi-level Distillation based Dense Passage Retrieval Model. - Haifeng Li 006; Mo Hai; Dong Tang (CoRR, 2023)

Deep Reinforcement Learning Model for Stock Portfolio Management Based on Data Fusion. - Haifeng Li 006; Mo Hai (Neural Process. Lett., 2024)

PortfolioZero: A stock portfolio model based on deep reinforcement learning. - Haifeng Li 006; Mo Hai (Appl. Soft Comput., 2025)