Mining frequent item sets by opportunistic projection. - Junqiang Liu; Yunhe Pan; Ke Wang 001; Jiawei Han 001 (KDD, 2002)

Top Down FP-Growth for Association Rule Mining. - Ke Wang 001; Liu Tang; Jiawei Han 001; Junqiang Liu (PAKDD, 2002)

A New Method for Retrieval Based on Relative Entropy with Smoothing. - Hua Huo; Junqiang Liu; Boqin Feng (AAIM, 2005)

Multinomial Approach and Multiple-Bernoulli Approach for Information Retrieval Based on Language Modeling. - Hua Huo; Junqiang Liu; Boqin Feng (FSKD (1), 2005)

Using Object Deputy Model to Prepare Data for Data Warehousing. - Zhiyong Peng 001; Qing Li 001; Ling Feng; Xuhui Li 001; Junqiang Liu (IEEE Trans. Knowl. Data Eng., 2005)

Deputy Mechanism for OLAP over Imprecise Data and Composite Measure. - Junqiang Liu; Min Luo; Xiandi Yang (CIT, 2007)

Dynamic information integration using object deputy model. - Junqiang Liu; Xiaoling Guan (CIT, 2008)

A Pay-as-You-Go Mechanism for Unifying Data and Domain Knowledge. - Junqiang Liu; Xiaoling Guan (CIT (1), 2009)

On optimal anonymization for l+-diversity. - Junqiang Liu; Ke Wang 001 (ICDE, 2010)

Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering. - Junqiang Liu; Ke Wang 001 (ICDM, 2010)

Anonymizing Transaction Data by Integrating Suppression and Generalization. - Junqiang Liu; Ke Wang 001 (PAKDD (1), 2010)

Direct Discovery of High Utility Itemsets without Candidate Generation. - Junqiang Liu; Ke Wang 001; Benjamin C. M. Fung (ICDM, 2012)

Component Description Model Based on Software Architecture. - Zhiyu Chen; Liufu Song; Junqiang Liu; Ming Hu; Rujia Gao (ICICA (1), 2012)

Publishing Set-Valued Data Against Realistic Adversaries. - Junqiang Liu (J. Comput. Sci. Technol., 2012)

Anonymizing bag-valued sparse data by semantic similarity-based clustering. - Junqiang Liu; Ke Wang 001 (Knowl. Inf. Syst., 2013)

Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption. - Junqiang Liu; Jiuyong Li; Shijian Xu; Benjamin C. M. Fung (DaWaK, 2015)

Parallel Eclat for Opportunistic Mining of Frequent Itemsets. - Junqiang Liu; Yongsheng Wu; Qingfeng Zhou; Benjamin C. M. Fung; Fanghui Chen; Binxiao Yu (DEXA (1), 2015)

MapReduce-based efficient algorithm for finding large patterns. - Junqiang Liu; Yongsheng Wu; Shijian Xu; Qingfeng Zhou; Mengtao Xu (ICACI, 2015)

An Efficient Privacy Authentication Scheme Based on Cloud Models for Medical Environment. - Zhaoqin Ying; Shin-Yan Chiou; Junqiang Liu (NBiS, 2015)

Flood Diversion Algorithm for Anticollision in RFID System. - Hua Huo; Junqiang Liu; Yongjie Wang (Int. J. Distributed Sens. Networks, 2015)

基于延迟特性的改进随机Petri网建模与分析 (Modeling and Analysis of Improved Stochastic Petri Net Based on Delay Characteristics). - Junqiang Liu; Hongfu Zuo; Zhiyong Peng (计算机科学, 2015)

Anonymizing Social Network Data for Maximal Frequent-Sharing Pattern Mining. - Benjamin C. M. Fung; Yan'an Jin; Jiaming Li; Junqiang Liu (Recommendation and Search in Social Networks, 2015)

Adaptive impedance control of robotic exoskeletons using reinforcement learning. - Zhicong Huang; Junqiang Liu; Zhijun Li 001; Chun-Yi Su (ICARM, 2016)

Improvement of a Privacy Authentication Scheme Based on Cloud for Medical Environment. - Shin-Yan Chiou; Zhaoqin Ying; Junqiang Liu (J. Medical Syst., 2016)

Mining High Utility Patterns in One Phase without Generating Candidates. - Junqiang Liu; Ke Wang 001; Benjamin C. M. Fung (IEEE Trans. Knowl. Data Eng., 2016)

Development and adaptive fuzzy control of a walking robotic exoskeleton for passive body weigh support. - Junqiang Liu; Di Gan; Bo Huang 009; Zhijun Li 001; Yu Kang 001 (ICARM, 2017)

Adaptive Impedance Control of Human-Robot Cooperation Using Reinforcement Learning. - Zhijun Li 001; Junqiang Liu; Zhicong Huang; Yan Peng 001; Huayan Pu; Liang Ding 001 (IEEE Trans. Ind. Electron., 2017)

Opportunistic mining of top-n high utility patterns. - Junqiang Liu; Xingxing Zhang; Benjamin C. M. Fung; Jiuyong Li; Farkhund Iqbal (Inf. Sci., 2018)

Differentially private multidimensional data publishing. - Khalil Al-Hussaeni; Benjamin C. M. Fung; Farkhund Iqbal; Junqiang Liu; Patrick C. K. Hung (Knowl. Inf. Syst., 2018)

Efficient Parallel Algorithm for Mining High Utility Patterns Based on Spark. - Junqiang Liu; Rong Zhao; Xiangcai Yang; Yong Zhang; Xiaoning Jiang (DSC, 2019)

Distributed Mining of Frequent Patterns in Big Data by Hybrid Strategies. - Junqiang Liu; Xiangcai Yang; Yanjun Hu; Bo Jiang 009; Yong Zhang; Zhousheng Ye (ICDM Workshops, 2019)

Incremental Mining of High Utility Patterns in One Phase by Absence and Legacy-Based Pruning. - Junqiang Liu; Xinyi Ju; Xingxing Zhang; Benjamin C. M. Fung; Xiangcai Yang; Changhong Yu (IEEE Access, 2019)

Efficient mining of extraordinary patterns by pruning and predicting. - Junqiang Liu; Zhongmin Chang; Carson Kai-Sang Leung; Raymond C. W. Wong; Yabo Xu; Rong Zhao (Expert Syst. Appl., 2019)

Coordination Control of a Dual-Arm Exoskeleton Robot Using Human Impedance Transfer Skills. - Bo Huang 009; Zhijun Li 001; Xinyu Wu 001; Arash Ajoudani; Antonio Bicchi; Junqiang Liu (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Detecting breaking news rumors of emerging topics in social media. - Sarah A. Alkhodair; Steven H. H. Ding; Benjamin C. M. Fung; Junqiang Liu (Inf. Process. Manag., 2020)

Maintenance model of aircraft structure based on three-stage degradation process. - Junqiang Liu (Comput. Ind. Eng., 2021)

Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion. - Junqiang Liu; Fan Lei; Chunlu Pan; Dongbin Hu; Hongfu Zuo (Reliab. Eng. Syst. Saf., 2021)

Fault prediction of bearings based on LSTM and statistical process analysis. - Junqiang Liu; Chunlu Pan; Fan Lei; Dongbin Hu; Hongfu Zuo (Reliab. Eng. Syst. Saf., 2021)

Early Rumor Detection based on Data Augmentation and Pre-training Transformer. - Yanjun Hu; Xinyi Ju; Zhousheng Ye; Sulaiman Khan; Chengwu Yuan; Qiran Lai; Junqiang Liu (CCWC, 2022)

Fine-Grained Chinese Named Entity Recognition Based on MacBERT-Attn-BiLSTM-CRF Model. - Jueyang Wang; Shuzhen Li; Edward Agyemang-Duah; Xingyu Feng; Chun Xu; Yuao Ji; Junqiang Liu (CCWC, 2022)

Gas path fault diagnosis of aircraft engine using HELM and transfer learning. - Junqiang Liu (Eng. Appl. Artif. Intell., 2022)

Efficient strategies for incremental mining of frequent closed itemsets over data streams. - Junqiang Liu; Zhousheng Ye; Xiangcai Yang; Xueling Wang; Linjie Shen; Xiaoning Jiang (Expert Syst. Appl., 2022)

Multi-stage residual life prediction of aero-engine based on real-time clustering and combined prediction model. - Junqiang Liu; Zhuoqian Yu; Hongfu Zuo; Rongchunxue Fu; Xiaonan Feng (Reliab. Eng. Syst. Saf., 2022)

Design and Analysis of a Novel Compliant Actuator With Variable Stiffness by Spring Pretension Adjustment. - Youlei Zhao; Junqiang Liu; Li Li; Yapeng Xu (IEEE Access, 2023)

Sensor fault analysis of aero-engine using ensemble SCNN and Bayesian interval estimation. - Junqiang Liu (Eng. Appl. Artif. Intell., 2023)

Facial expression recognition based on multi-channel fusion and lightweight neural network. - Yali Yu; Hua Huo; Junqiang Liu (Soft Comput., 2023)

Failure prediction with statistical analysis of bearing using deep forest model and change point detection. - Junqiang Liu; Hongfu Zuo (Eng. Appl. Artif. Intell., 2024)

Bearing fault diagnosis based on incremental transfer learning and ensemble learning with stochastic configuration network. - Junqiang Liu (Expert Syst. Appl., 2025)