Jie Lu

631 papers A* 34A 6B 76C 15Misc 23Journal 358Unranked 104
YearRankTypeTitle / Venue / Authors
2026 A* conf
Agent-Enhanced Heterogeneous Graph RAG for Academic Question Answering.
WWW
Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang
2026 A* conf
Autonomous Concept Drift Threshold Determination.
AAAI
Pengqian Lu, Jie Lu, Anjin Liu, En Yu, Guangquan Zhang
2026 J jnl
Autonomous Online Multistream Generalization via Fuzzy Joint Discriminant Analysis.
IEEE Trans. Fuzzy Syst.
En Yu, Jie Lu, Xiaoyu Yang, Guangquan Zhang
2026 J jnl
Choosing How to Remember: Adaptive Memory Structures for LLM Agents.
CoRR
Mingfei Lu, Mengjia Wu, Feng Liu, Jiawei Xu, Weikai Li, Haoyang Wang, Zhengdong Hu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026 — conf
Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models.
KDD (1)
Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang
2026 A* conf
Discovering Mixture Skills for Unsupervised Reinforcement Learning.
AAAI
Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu
2026 J jnl
Diversity-Driven Model Ensemble Adaptive Trust Region Policy Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu
2026 A* conf
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning.
AAAI
En Yu, Jie Lu, Kun Wang, Xiaoyu Yang, Guangquan Zhang
2026 J jnl
Enhancing Out-of-Distribution Detection in Transfer Learning Through Intuitionistic Fuzzy Set-Based Prediction.
IEEE Trans. Fuzzy Syst.
Guangzhi Ma, Jie Lu
2026 J jnl
Enhancing outdoor vision: Binocular desnowing with dual-stream temporal transformer.
Pattern Recognit.
En Yu, Jie Lu, Kaihao Zhang, Guangquan Zhang
2026 A* conf
From Newborn to Impact: Bias-Aware Citation Prediction.
WWW
Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026 A* conf
Generalized Incremental Learning under Concept Drift across Evolving Data Streams.
WWW
En Yu, Jie Lu, Guangquan Zhang
2026 J jnl
Graph Contrastive Learning With Diffusion-Based Transfer for Cross-Domain Recommender System.
IEEE Trans. Syst. Man Cybern. Syst.
Pham Minh Thu Do, Qian Zhang, Guangquan Zhang, Jie Lu
2026 J jnl
Guest Editorial: Special Section on Fuzzy Large Models: Bridging Uncertainty and Creativity.
IEEE Trans. Fuzzy Syst.
Hang Yu, Qian Liu, Witold Pedrycz, Jie Lu
2026 J jnl
Multi-Scale Adaptive Convolutional Graph for Multi-Stream Concept Drift.
IEEE Trans. Knowl. Data Eng.
Ming Zhou, Jie Lu, Guangquan Zhang
2026 A* conf
PARS: Partial-Label-Learning-inspired Recommender Systems.
AAAI
Shanshan Ye, Kezhi Lu, Guangquan Zhang, Jie Lu
2026 J jnl
Target-Oriented Autonomous Fuzzy Model Adaptation in Multimodal Transfer.
IEEE Trans. Fuzzy Syst.
Keqiuyin Li, Jie Lu, Hua Zuo
2026 J jnl
VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation.
CoRR
Changhua Xu, Jie Lu, Junyu Xuan, En Yu
2025 J jnl
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems.
ACM Trans. Intell. Syst. Technol.
Pham Minh Thu Do, Jie Lu, Qian Zhang, Guangquan Zhang
2025 — conf
A Multimodal Deep Learning End-to-End Model for Improving Barley Genotype-to-Phenotype Prediction Using Heterogeneous Data.
CAI
Samuel Pradhan, Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
2025 J jnl
A Multistream Concept Drift Handling Framework via Data Sharing.
IEEE Trans. Cybern.
Bin Zhang, Jie Lu, Yiliao Song, Guangquan Zhang
2025 — conf
AI for Women's Health: Framework and Focus Areas.
WWW (Companion Volume)
Jie Lu, Angela Dawson, Kairui Guo, Deborah Fox, Fahimeh Ramezani, Susan Morton, Kathleen Baird, Zelia Soo, Kezhi Lu, Guodong Long, Debra Anderson
2025 A* conf
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards.
ICLR
Xiaoyu Yang, Jie Lu, En Yu
2025 J jnl
Adaptive Information Fusion-Based Concept Drift Learning for Evolving Multiple Data Streams.
IEEE Trans. Knowl. Data Eng.
Kun Wang, Jie Lu, Anjin Liu
2025 J jnl
An extensive multi-variant deep neural network approach to enhance genomic prediction of endometriosis.
Neurocomputing
Zelia Soo, Hua Lin, Yue Yang, Mark Grosser, Mengjia Wu, Yi Zhang, Jie Lu
2025 A conf
Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation.
RecSys
Guohang Zeng, Jie Lu, Guangquan Zhang
2025 J jnl
Autonomous Concept Drift Threshold Determination.
CoRR
Pengqian Lu, Jie Lu, Anjin Liu, En Yu, Guangquan Zhang
2025 J jnl
Autonomous Source Knowledge Selection in Multi-Domain Adaptation.
CoRR
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2025 J jnl
Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning.
CoRR
Wei Duan, Jie Lu, En Yu, Junyu Xuan
2025 J jnl
Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning.
CoRR
Wei Duan, Jie Lu, Junyu Xuan
2025 A* conf
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space.
ICLR
Mengjing Wu, Junyu Xuan, Jie Lu
2025 J jnl
CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data.
IEEE Trans. Cybern.
Hang Yu, Jiahao Wen, Yiping Sun, Xiao Wei, Jie Lu
2025 J jnl
Causal-Informed Contrastive Learning: Towards Bias-Resilient Pre-training under Concept Drift.
CoRR
Xiaoyu Yang, Jie Lu, En Yu
2025 J jnl
Concept drift detection based on radial distance.
Neurocomputing
Dan Shang, Guangquan Zhang, Jie Lu
2025 J jnl
Continuous Graph Learning-Based Self-Adaptation for Multi-Stream Concept Drift.
IEEE Trans. Cybern.
Ming Zhou, Jie Lu
2025 — conf
Distributional Prototype Learning for Out-of-distribution Detection.
KDD (1)
Bo Peng, Jie Lu, Yonggang Zhang, Guangquan Zhang, Zhen Fang
2025 J jnl
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning.
CoRR
En Yu, Jie Lu, Kun Wang, Xiaoyu Yang, Guangquan Zhang
2025 A* conf
Early Concept Drift Detection via Prediction Uncertainty.
AAAI
Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang
2025 — conf
Enhancing Graph-Based Recommendations via Fuzzy Clustering and Gated Multi-View Fusion.
FUZZ
Yuanming Huang, Jie Lu, Keqiuyin Li, Guangquan Zhang
2025 J jnl
From Newborn to Impact: Bias-Aware Citation Prediction.
CoRR
Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2025 A conf
Functional Stochastic Gradient MCMC for Bayesian Neural Networks.
AISTATS
Mengjing Wu, Junyu Xuan, Jie Lu
2025 J jnl
Fuzzy Domain Adaptation From Heterogeneous Source Teacher Models.
IEEE Trans. Fuzzy Syst.
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2025 J jnl
Fuzzy Rule-Based Test-Time Adaptation for Class Imbalance in Dynamic Scenarios.
IEEE Trans. Fuzzy Syst.
Ran Wang, Hua Zuo, Jie Lu
2025 J jnl
Generalized Incremental Learning under Concept Drift across Evolving Data Streams.
CoRR
En Yu, Jie Lu, Guangquan Zhang
2025 J jnl
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems.
ACM Trans. Inf. Syst.
Kezhi Lu, Jie Lu, Hanshi Xu, Kairui Guo, Qian Zhang, Hua Lin, Mark Grosser, Yi Zhang, Guangquan Zhang
2025 J jnl
Global-Local Decomposition of Contextual Representations in Meta-Reinforcement Learning.
IEEE Trans. Cybern.
Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu
2025 J jnl
HetGCoT-Rec: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Journal Recommendation.
CoRR
Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang
2025 — conf
HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering.
EMNLP (Findings)
Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang
2025 J jnl
Inferring Latent Temporal Sparse Coordination Graph for Multiagent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Wei Duan, Jie Lu, Junyu Xuan
2025 J jnl
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models.
ACM Trans. Intell. Syst. Technol.
Ran Wang, Hua Zuo, Zhen Fang, Jie Lu
2025 J jnl
Learning Latent and Changing Dynamics in Real Non-Stationary Environments.
IEEE Trans. Knowl. Data Eng.
Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang
2025 J jnl
Learning Robust Spectral Dynamics for Temporal Domain Generalization.
CoRR
En Yu, Jie Lu, Xiaoyu Yang, Guangquan Zhang, Zhen Fang
2025 J jnl
Learning from All: Concept Alignment for Autonomous Distillation from Multiple Drifting MLLMs.
CoRR
Xiaoyu Yang, Jie Lu, En Yu
2025 J jnl
MetaGeno: a chromosome-wise multi-task genomic framework for ischaemic stroke risk prediction.
Briefings Bioinform.
Yue Yang, Kairui Guo, Yonggang Zhang, Zhen Fang, Hua Lin, Mark Grosser, Deon Venter, Weihai Lu, Mengjia Wu, Dennis Cordato, Guangquan Zhang, Jie Lu
2025 A* conf
MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection.
ACM Multimedia
Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang
2025 J jnl
MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection.
CoRR
Kuo Shi, Jie Lu, Shanshan Ye, Guangquan Zhang, Zhen Fang
2025 J jnl
Multiview Classification Through Learning From Interval-Valued Data.
IEEE Trans. Neural Networks Learn. Syst.
Guangzhi Ma, Jie Lu, Zhen Fang, Feng Liu, Guangquan Zhang
2025 J jnl
Novelty-aware concept drift detection for neural networks.
Neurocomputing
Dan Shang, Guangquan Zhang, Jie Lu
2025 J jnl
On the Provable Importance of Gradients for Language-Assisted Image Clustering.
CoRR
Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang
2025 J jnl
Out-of-distribution detection with non-semantic exploration.
Inf. Sci.
Zhen Fang, Jie Lu, Guangquan Zhang
2025 — conf
Privacy-Aware Knowledge Transfer for Cross-Domain Recommender System.
ICCCI (1)
Pham Minh Thu Do, Jie Lu, Qian Zhang, Guangquan Zhang
2025 J jnl
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation.
CoRR
Yi Yin, Guangquan Zhang, Hua Zuo, Jie Lu
2025 J jnl
ReCL: A Plug-and-Play Module for Enhancing Generalized Category Discovery Using Transport-Based Method to Uncover the Relationship in Samples.
IEEE Trans. Neural Networks Learn. Syst.
Pinzhuo Tian, Qiubo Ma, Hang Yu, Jie Lu
2025 — conf
RePrompt: Towards Robust Continual Test-Time Adaptation via Replay Prompt for CLIP.
AI (1)
Ran Wang, Hua Zuo, Ling Chen, Huan Huo, Jie Lu
2025 A* conf
Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer.
ICLR
Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang
2025 J jnl
Responsible AI: Portraits With Intelligent Bibliometrics.
IEEE Trans. Artif. Intell.
Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu
2025 J jnl
RoSiLC-RS:A Robust Similar Legal Case Recommender System Empowered by Large Language Model and Step-Back Prompting.
Neurocomputing
Guohang Zeng, George Yijun Tian, Guangquan Zhang, Jie Lu
2025 J jnl
Robust Recommender Systems with Rating Flip Noise.
ACM Trans. Intell. Syst. Technol.
Shanshan Ye, Jie Lu
2025 J jnl
SPAD: Seven-Source Token Probability Attribution with Syntactic Aggregation for Detecting Hallucinations in RAG.
CoRR
Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang
2025 J jnl
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users.
IEEE Trans. Syst. Man Cybern. Syst.
Guohang Zeng, Qian Zhang, Guangquan Zhang, Jie Lu
2025 A* conf
Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation.
WWW
Shanshan Ye, Jie Lu, Guangquan Zhang
2025 J jnl
Tracking Correlations Between Multiple Data Streams Through Evolutionary Regressor Chains.
IEEE Trans. Cybern.
Bin Zhang, Jie Lu, Anjin Liu, Xin Yao, Guangquan Zhang
2025 J jnl
Twin Trust Region Policy Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu
2025 J jnl
Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning.
CoRR
Xiaoyu Yang, Jie Lu, En Yu
2024 A* conf
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points.
IJCAI
Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
2024 J jnl
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points.
CoRR
Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
2024 C conf
A Deep Transfer Learning Approach for Predicting Diabetes Complications Using Genomic Data.
HIS
Zelia Soo, Kairui Guo, Mengjia Wu, Coco Huang, Hua Lin, Mark Grosser, Yi Zhang, Jie Lu
2024 J jnl
A Hierarchical Attention Network for Cross-Domain Group Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Ruxia Liang, Qian Zhang, Jianqiang Wang, Jie Lu
2024 J jnl
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data.
CoRR
Feng Gu, Jie Lu, Zhen Fang, Kun Wang, Guangquan Zhang
2024 J jnl
A self-adaptive ensemble for user interest drift learning.
Neurocomputing
Kun Wang, Li Xiong, Anjin Liu, Guangquan Zhang, Jie Lu
2024 J jnl
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation.
ACM Trans. Intell. Syst. Technol.
Kezhi Lu, Qian Zhang, Danny Hughes, Guangquan Zhang, Jie Lu
2024 J jnl
Adapting Multi-modal Large Language Model to Concept Drift in the Long-tailed Open World.
CoRR
Xiaoyu Yang, Jie Lu, En Yu
2024 J jnl
An Extremely Simple Algorithm for Source Domain Reconstruction.
IEEE Trans. Cybern.
Zhen Fang, Jie Lu, Guangquan Zhang
2024 B conf
CLIP-Enhanced Unsupervised Domain Adaptation with Consistency Regularization.
IJCNN
Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang
2024 J jnl
Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points.
IEEE Trans. Cybern.
Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang
2024 J jnl
Disentangling Stochastic PDE Dynamics for Unsupervised Video Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Xinheng Wu, Jie Lu, Zheng Yan, Guangquan Zhang
2024 J jnl
Domain Adaptation With Interval-Valued Observations: Theory and Algorithms.
IEEE Trans. Fuzzy Syst.
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
2024 J jnl
Dynamic Graph Regularization for Multi-Stream Concept Drift Self-Adaptation.
IEEE Trans. Knowl. Data Eng.
Ming Zhou, Jie Lu, Pengqian Lu, Guangquan Zhang
2024 J jnl
Early Concept Drift Detection via Prediction Uncertainty.
CoRR
Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang
2024 — conf
Enhancing Vision-Language Models Incorporating TSK Fuzzy System for Domain Adaptation.
FUZZ
Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang
2024 J jnl
Federated Fuzzy Transfer Learning With Domain and Category Shifts.
IEEE Trans. Fuzzy Syst.
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2024 J jnl
Functional Stochastic Gradient MCMC for Bayesian Neural Networks.
CoRR
Mengjing Wu, Junyu Xuan, Jie Lu
2024 A conf
Functional Wasserstein Bridge Inference for Bayesian Deep Learning.
UAI
Mengjing Wu, Junyu Xuan, Jie Lu
2024 A conf
Functional Wasserstein Variational Policy Optimization.
UAI
Junyu Xuan, Mengjing Wu, Zihe Liu, Jie Lu
2024 J jnl
Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review.
IEEE Trans. Fuzzy Syst.
Jie Lu, Guangzhi Ma, Guangquan Zhang
2024 J jnl
Fuzzy Shared Representation Learning for Multistream Classification.
IEEE Trans. Fuzzy Syst.
En Yu, Jie Lu, Guangquan Zhang
2024 — conf
Geno-GCN: A Genome-specific Graph Convolutional Network for Diabetes Prediction.
EMBC
Kairui Guo, Hua Lin, Mark Grosser, Guangquan Zhang, Jie Lu
2024 J jnl
Graph Convolutional Neural Networks With Diverse Negative Samples via Decomposed Determinant Point Processes.
IEEE Trans. Neural Networks Learn. Syst.
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2024 A* conf
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning.
IJCAI
Wei Duan, Jie Lu, Junyu Xuan
2024 J jnl
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning.
CoRR
Wei Duan, Jie Lu, Junyu Xuan
2024 J jnl
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning.
CoRR
Wei Duan, Jie Lu, Junyu Xuan
2024 A* conf
Knowledge Distillation with Auxiliary Variable.
ICML
Bo Peng, Zhen Fang, Guangquan Zhang, Jie Lu
2024 — conf
LSTM Autoencoder-Based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction.
AI (1)
Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
2024 J jnl
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction.
CoRR
Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
2024 J jnl
Layer-diverse Negative Sampling for Graph Neural Networks.
CoRR
Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
2024 J jnl
Layer-diverse Negative Sampling for Graph Neural Networks.
Trans. Mach. Learn. Res.
Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
2024 A* conf
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection.
NeurIPS
Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung
2024 J jnl
Multi-source domain adaptation handling inaccurate label spaces.
Neurocomputing
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2024 J jnl
Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms.
IEEE Trans. Cybern.
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
2024 J jnl
Multidomain Adaptation With Sample and Source Distillation.
IEEE Trans. Cybern.
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2024 J jnl
Multisource Domain Adaptation With Interval-Valued Target Data via Fuzzy Neural Networks.
IEEE Trans. Fuzzy Syst.
Guangzhi Ma, Jie Lu, Guangquan Zhang
2024 J jnl
On the Learnability of Out-of-distribution Detection.
CoRR
Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu
2024 J jnl
On the Learnability of Out-of-distribution Detection.
J. Mach. Learn. Res.
Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu
2024 A* conf
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification.
AAAI
En Yu, Jie Lu, Bin Zhang, Guangquan Zhang
2024 B conf
Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models.
IJCNN
Ran Wang, Hua Zuo, Zhen Fang, Jie Lu
2024 J jnl
Responsible AI: Portraits with Intelligent Bibliometrics.
CoRR
Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu
2024 J jnl
Risk Assessment Through Big Data: An Autonomous Fuzzy Decision Support System.
IEEE Trans. Intell. Transp. Syst.
Mohammad Siami, Mohsen Naderpour, Fahimeh Ramezani, Jie Lu
2024 J jnl
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective.
IEEE Trans. Cybern.
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
2024 J jnl
Semi-supervised heterogeneous domain adaptation for few-sample credit risk classification.
Neurocomputing
Zhaoqing Liu, Guangquan Zhang, Jie Lu
2024 J jnl
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users.
CoRR
Guohang Zeng, Qian Zhang, Guangquan Zhang, Jie Lu
2024 J jnl
Source-Free Unsupervised Domain Adaptation: Current research and future directions.
Neurocomputing
Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang
2024 J jnl
TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation.
IEEE Trans. Cybern.
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
2024 A* conf
Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization.
ACM Multimedia
Ran Wang, Hua Zuo, Zhen Fang, Jie Lu
2024 J jnl
Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint.
Neurocomputing
Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu
2024 J jnl
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams.
IEEE Trans. Knowl. Data Eng.
Hang Yu, Jinpeng Li, Jie Lu, Yiliao Song, Shaorong Xie, Guangquan Zhang
2024 J jnl
Unsupervised Domain Adaptation Enhanced by Fuzzy Prompt Learning.
IEEE Trans. Fuzzy Syst.
Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang
2023 J jnl
A Deep Dual Adversarial Network for Cross-Domain Recommendation.
IEEE Trans. Knowl. Data Eng.
Qian Zhang, Wenhui Liao, Guangquan Zhang, Bo Yuan, Jie Lu
2023 J jnl
A new approach for landslide susceptibility assessments based on KDE-MDBN: A case study from mountainous regions impacted by the Wenchuan earthquake, China.
Environ. Model. Softw.
Suyue Han, Bin Liu, Xinyue Fan, Tingting Feng, Jingjing Yang, Zhongli Zhou, Hao Gong, Jie Lu
2023 — conf
An Augmented Learning Approach for Multiple Data Streams Under Concept Drift.
AI (1)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
2023 J jnl
Artificial intelligence-driven biomedical genomics.
Knowl. Based Syst.
Kairui Guo, Mengjia Wu, Zelia Soo, Yue Yang, Yi Zhang, Qian Zhang, Hua Lin, Mark Grosser, Deon Venter, Guangquan Zhang, Jie Lu
2023 — conf
Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data.
FUZZ
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2023 C conf
BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining.
HIS
Mengjia Wu, Yi Zhang, Hua Lin, Mark Grosser, Guangquan Zhang, Jie Lu
2023 J jnl
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Zhong Li, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu
2023 J jnl
Concept Drift Detection Delay Index.
IEEE Trans. Knowl. Data Eng.
Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang
2023 Misc conf
Deep Neural Network-Empowered Polygenic Disease Prediction on Cardiovascular Diseases.
ISKE
Zelia Soo, Hua Lin, Yue Yang, Mark Grosser, Yi Zhang, Jie Lu
2023 J jnl
Detecting group concept drift from multiple data streams.
Pattern Recognit.
Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang
2023 J jnl
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng.
Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang
2023 Misc conf
Domain Adaptation for Image Segmentation with Category-Guide Classifier.
ISKE
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2023 J jnl
Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2023 J jnl
Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift.
IEEE Trans. Cybern.
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang, Li Xiong
2023 J jnl
Guest Editorial: Special Issue on Stream Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jie Lu, João Gama, Xin Yao, Leandro L. Minku
2023 J jnl
Heterogeneous Multidomain Recommender System Through Adversarial Learning.
IEEE Trans. Neural Networks Learn. Syst.
Wenhui Liao, Qian Zhang, Bo Yuan, Guangquan Zhang, Jie Lu
2023 J jnl
Improving proximal policy optimization with alpha divergence.
Neurocomputing
Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu
2023 — conf
Interval-Valued Observations-Based Multi-Source Domain Adaptation Using Fuzzy Neural Networks.
FUZZ
Guangzhi Ma, Jie Lu, Guangquan Zhang
2023 J jnl
Learning Data Streams With Changing Distributions and Temporal Dependency.
IEEE Trans. Neural Networks Learn. Syst.
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
2023 J jnl
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering.
IEEE Trans. Neural Networks Learn. Syst.
Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang
2023 A* conf
Meta OOD Learning For Continuously Adaptive OOD Detection.
ICCV
Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang
2023 J jnl
Meta OOD Learning for Continuously Adaptive OOD Detection.
CoRR
Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang
2023 B conf
Multi-Source Domain Adaptation with Incomplete Source Label Spaces.
KES
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2023 J jnl
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Ming Zhou, Jie Lu, Yiliao Song, Guangquan Zhang
2023 C conf
Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification.
HIS
Yue Yang, Kairui Guo, Zhen Fang, Hua Lin, Mark Grosser, Jie Lu
2023 — conf
Multiple Teacher Model for Continual Test-Time Domain Adaptation.
AI (1)
Ran Wang, Hua Zuo, Zhen Fang, Jie Lu
2023 B conf
One-step Domain Adaptation Approach with Partial Label.
IJCNN
Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu
2023 J jnl
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification.
CoRR
En Yu, Jie Lu, Bin Zhang, Guangquan Zhang
2023 J jnl
Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang
2023 — conf
Sequence Unlearning for Sequential Recommender Systems.
AI (1)
Shanshan Ye, Jie Lu
2023 J jnl
Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks.
IEEE Trans. Fuzzy Syst.
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2023 J jnl
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation.
J. Assoc. Inf. Sci. Technol.
Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu
2023 B conf
TCR-M: A Topic Change Recognition-based Method for Data Stream Learning.
KES
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
2023 B conf
meta-GRS: A Graph Neural Network for Cross-Domain Recommender System via Meta-Learning.
KES
Pham Minh Thu Do, Qian Zhang, Guangquan Zhang, Jie Lu
2022 J jnl
A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data.
IEEE Trans. Cybern.
Guanjin Wang, Ta Zhou, Kup-Sze Choi, Jie Lu
2022 J jnl
A Drift Region-Based Data Sample Filtering Method.
IEEE Trans. Cybern.
Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang
2022 J jnl
A Segment-Based Drift Adaptation Method for Data Streams.
IEEE Trans. Neural Networks Learn. Syst.
Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang
2022 J jnl
A quantile fusion methodology for deep forecasting.
Neurocomputing
Bin Wang, Jie Lu, Tianrui Li, Zheng Yan, Guangquan Zhang
2022 Misc conf
An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble.
AI
Zhaoqing Liu, Anjin Liu, Guangquan Zhang, Jie Lu
2022 J jnl
An Online Robust Support Vector Regression for Data Streams.
IEEE Trans. Knowl. Data Eng.
Hang Yu, Jie Lu, Guangquan Zhang
2022 J jnl
Continuous Support Vector Regression for Nonstationary Streaming Data.
IEEE Trans. Cybern.
Hang Yu, Jie Lu, Guangquan Zhang
2022 J jnl
Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines.
IEEE Trans. Cybern.
Guanjin Wang, Kup-Sze Choi, Jeremy Yuen-Chun Teoh, Jie Lu
2022 J jnl
Deep Metallogenic prediction model construction of the Xiongcun no. II orebody based on the DNN algorithm.
Multim. Tools Appl.
Di Zhang, Zhongli Zhou, Suyue Han, Hao Gong, Tianyi Zou, Jie Lu
2022 J jnl
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation.
Neurocomputing
Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang
2022 J jnl
Fuzzy Multioutput Transfer Learning for Regression.
IEEE Trans. Fuzzy Syst.
Xiaoya Che, Hua Zuo, Jie Lu, Degang Chen
2022 J jnl
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes.
CoRR
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2022 A* conf
Is Out-of-Distribution Detection Learnable?
NeurIPS
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
2022 J jnl
Is Out-of-Distribution Detection Learnable?
CoRR
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
2022 J jnl
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams.
Neurocomputing
En Yu, Yiliao Song, Guangquan Zhang, Jie Lu
2022 J jnl
Learning From a Complementary-Label Source Domain: Theory and Algorithms.
IEEE Trans. Neural Networks Learn. Syst.
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
2022 A* conf
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples.
AAAI
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2022 J jnl
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples.
CoRR
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
2022 J jnl
MORStreaming: A Multioutput Regression System for Streaming Data.
IEEE Trans. Syst. Man Cybern. Syst.
Hang Yu, Jie Lu, Guangquan Zhang
2022 C conf
Machine Learning for Decision Support in Complex Environments.
COMPLEXIS
Jie Lu
2022 C conf
Machine Learning for Decision Support in Complex Environments.
IoTBDS
Jie Lu
2022 J jnl
Meta-ADD: A meta-learning based pre-trained model for concept drift active detection.
Inf. Sci.
Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang
2022 J jnl
Multi-Source Contribution Learning for Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2022 J jnl
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms.
CoRR
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
2022 J jnl
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning.
IEEE Trans. Intell. Transp. Syst.
Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang
2022 B conf
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training.
IJCNN
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2022 J jnl
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation.
CoRR
Yi Zhang, Mengjia Wu, Jie Lu
2022 J jnl
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making.
CoRR
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
2022 J jnl
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression.
IEEE Trans. Fuzzy Syst.
Hang Yu, Jie Lu, Guangquan Zhang
2022 J jnl
Transfer learning based on sparse Gaussian process for regression.
Inf. Sci.
Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang, Li Hou
2021 J jnl
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion.
IEEE Trans. Fuzzy Syst.
Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu
2021 J jnl
A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction.
IEEE Trans. Intell. Transp. Syst.
Mohammad Siami, Mohsen Naderpour, Jie Lu
2021 J jnl
A cross-domain recommender system through information transfer for medical diagnosis.
Decis. Support Syst.
Wenjun Chang, Qian Zhang, Chao Fu, Weiyong Liu, Guangquan Zhang, Jie Lu
2021 J jnl
AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification.
IEEE Trans. Syst. Man Cybern. Syst.
Guanjin Wang, Kok Wai Wong, Jie Lu
2021 J jnl
An Adaptive Personalized Property Investment Risk Analysis Method Based on Data-Driven Approach.
Int. J. Inf. Technol. Decis. Mak.
Nur Atiqah Rochin Demong, Jie Lu, Farookh Khadeer Hussain
2021 B conf
An Efficient Bayesian Neural Network for Multiple Data Streams.
IJCNN
Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu
2021 J jnl
Automatic Learning to Detect Concept Drift.
CoRR
Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang
2021 J jnl
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining.
ACM Trans. Intell. Syst. Technol.
Junyu Xuan, Jie Lu, Guangquan Zhang
2021 J jnl
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning.
CoRR
Junyu Xuan, Jie Lu, Guangquan Zhang
2021 J jnl
Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies.
J. Informetrics
Yi Zhang, Mengjia Wu, Wen Miao, Lu Huang, Jie Lu
2021 J jnl
Concept Drift Detection via Equal Intensity k-Means Space Partitioning.
IEEE Trans. Cybern.
Anjin Liu, Jie Lu, Guangquan Zhang
2021 J jnl
Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations.
IEEE Trans. Fuzzy Syst.
Anjin Liu, Jie Lu, Guangquan Zhang
2021 J jnl
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time.
CoRR
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
2021 J jnl
Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Anjin Liu, Jie Lu, Guangquan Zhang
2021 J jnl
Domain-specific meta-embedding with latent semantic structures.
Inf. Sci.
Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang
2021 J jnl
Ethics and privacy of artificial intelligence: Understandings from bibliometrics.
Knowl. Based Syst.
Yi Zhang, Mengjia Wu, George Yijun Tian, Guangquan Zhang, Jie Lu
2021 A* conf
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
AAAI
Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang
2021 J jnl
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
CoRR
Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang
2021 A* conf
Learning Bounds for Open-Set Learning.
ICML
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
2021 J jnl
Learning Bounds for Open-Set Learning.
CoRR
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
2021 B conf
Learning from Imprecise Observations: An Estimation Error Bound based on Fuzzy Random Variables.
FUZZ-IEEE
Guangzhi Ma, Feng Liu, Guangquan Zhang, Jie Lu
2021 A* conf
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data.
NeurIPS
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
2021 J jnl
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data.
CoRR
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
2021 B conf
Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks.
FUZZ-IEEE
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2021 J jnl
Multi-source transfer regression via source-target pairwise segment.
Inf. Sci.
Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang
2021 J jnl
Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks.
IEEE Trans. Fuzzy Syst.
Feng Liu, Guangquan Zhang, Jie Lu
2021 Misc conf
Negative Samples-enhanced Graph Convolutional Neural Networks.
ISKE
Wei Duan, Junyu Xuan, Jie Lu
2021 J jnl
Open Set Domain Adaptation: Theoretical Bound and Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang
2021 J jnl
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior.
CoRR
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
2021 A* conf
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking.
WWW
Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang
2021 J jnl
Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics.
Frontiers Res. Metrics Anal.
Mengjia Wu, Yi Zhang, Mark Grosser, Steven Tipper, Deon Venter, Hua Lin, Jie Lu
2021 J jnl
Statistical generalization performance guarantee for meta-learning with data dependent prior.
Neurocomputing
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
2020 J jnl
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data.
ACM Trans. Intell. Syst. Technol.
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
2020 B conf
A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression.
FUZZ-IEEE
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
2020 B conf
A Novel Non-parametric Two-Sample Test on Imprecise Observations.
FUZZ-IEEE
Feng Liu, Guangquan Zhang, Jie Lu
2020 J jnl
A Pareto-smoothing method for causal inference using generalized Pareto distribution.
Neurocomputing
Fujin Zhu, Jie Lu, Adi Lin, Guangquan Zhang
2020 J jnl
A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data.
IEEE Trans. Cybern.
Guanjin Wang, Jie Lu, Kup-Sze Choi, Guangquan Zhang
2020 — conf
An Elastic Gradient Boosting Decision Tree for Concept Drift Learning.
Australasian Conference on Artificial Intelligence
Kun Wang, Anjin Liu, Jie Lu, Guangquan Zhang, Li Xiong
2020 J jnl
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation.
CoRR
Zhong Li, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu
2020 A* conf
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation.
IJCAI
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
2020 J jnl
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation.
CoRR
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
2020 J jnl
Concept Drift Detection via Equal Intensity k-means Space Partitioning.
CoRR
Anjin Liu, Jie Lu, Guangquan Zhang
2020 J jnl
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations.
CoRR
Anjin Liu, Jie Lu, Guangquan Zhang
2020 B conf
Cross-Domain Recommendation with Multiple Sources.
IJCNN
Qian Zhang, Jie Lu, Guangquan Zhang
2020 J jnl
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting.
Neurocomputing
Bin Wang, Tianrui Li, Zheng Yan, Guangquan Zhang, Jie Lu
2020 J jnl
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation.
CoRR
Anjin Liu, Jie Lu, Guangquan Zhang
2020 B conf
Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning.
IJCNN
Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu
2020 J jnl
Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease.
Int. J. Comput. Intell. Syst.
Yi Zhang, Mengjia Wu, Hua Lin, Steven Tipper, Mark Grosser, Guangquan Zhang, Jie Lu
2020 J jnl
Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams.
IEEE Trans. Fuzzy Syst.
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
2020 J jnl
Fuzzy Multiple-Source Transfer Learning.
IEEE Trans. Fuzzy Syst.
Jie Lu, Hua Zuo, Guangquan Zhang
2020 J jnl
Heterogeneous Domain Adaptation: An Unsupervised Approach.
IEEE Trans. Neural Networks Learn. Syst.
Feng Liu, Guangquan Zhang, Jie Lu
2020 A* conf
Learning Deep Kernels for Non-Parametric Two-Sample Tests.
ICML
Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland
2020 J jnl
Learning Deep Kernels for Non-Parametric Two-Sample Tests.
CoRR
Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland
2020 J jnl
Learning from a Complementary-label Source Domain: Theory and Algorithms.
CoRR
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
2020 J jnl
Learning under Concept Drift: A Review.
CoRR
Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang
2020 J jnl
Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data.
Int. J. Mach. Learn. Cybern.
Guanjin Wang, Jeremy Yuen-Chun Teoh, Jie Lu, Kup-Sze Choi
2020 B conf
Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction.
IJCNN
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
2020 B conf
Multiple-source Domain Adaptation in Rule-based Neural Network.
IJCNN
Hua Zuo, Jie Lu, Guangquan Zhang
2020 J jnl
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Hang Yu, Jie Lu, Guangquan Zhang
2020 J jnl
Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis.
Neurocomputing
Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu
2020 — conf
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning.
Australasian Conference on Artificial Intelligence
Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu
2020 — book
Recommender Systems - Advanced Developments
Recommender Systems
Jie Lu, Qian Zhang, Guangquan Zhang
2020 J jnl
Web event evolution trend prediction based on its computational social context.
World Wide Web
Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang
2019 B conf
A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis.
FUZZ-IEEE
Mohammad Siami, Mohsen Naderpour, Jie Lu
2019 J jnl
A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis.
CoRR
Mohammad Siami, Mohsen Naderpour, Jie Lu
2019 J jnl
A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities.
IEEE Trans. Neural Networks Learn. Syst.
Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang
2019 Misc conf
A Framework for a Large-Scale B2B Recommender System.
ISKE
Azadeh Ghafari Nia, Jie Lu, Qian Zhang, Mario Ribeiro
2019 J jnl
A Framework of Transferring Structures Across Large-scale Information Networks.
CoRR
Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
2019 B conf
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams.
IJCNN
Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang
2019 B conf
A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression.
FUZZ-IEEE
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
2019 B conf
A Novel Fuzzy Neural Network for Unsupervised Domain Adaptation in Heterogeneous Scenarios.
FUZZ-IEEE
Feng Liu, Guangquan Zhang, Jie Lu
2019 Misc conf
A Recommender System for Cold-start Items: A Case Study in the Real Estate Industry.
ISKE
Qian Zhang, Di Zhang, Jie Lu, Guangquan Zhang, Wei Qu, Mark Cohen
2019 J jnl
A Survey on Bayesian Nonparametric Learning.
ACM Comput. Surv.
Junyu Xuan, Jie Lu, Guangquan Zhang
2019 J jnl
A deeper graph neural network for recommender systems.
Knowl. Based Syst.
Ruiping Yin, Kan Li, Guangquan Zhang, Jie Lu
2019 A conf
ATL: Autonomous Knowledge Transfer from Many Streaming Processes.
CIKM
Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
2019 J jnl
ATL: Autonomous Knowledge Transfer from Many Streaming Processes.
CoRR
Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
2019 J jnl
Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation.
CoRR
Feng Liu, Jie Lu, Bo Han, Gang Niu, Guangquan Zhang, Masashi Sugiyama
2019 — conf
Characterizing the Potential of Being Emerging Generic Technologies: A Bi-Layer Network Analytics-based Prediction Method.
ISSI
Yi Zhang, Yihe Zhu, Lu Huang, Guangquan Zhang, Jie Lu
2019 J jnl
Cooperative hierarchical Dirichlet processes: Superposition vs. maximization.
Artif. Intell.
Junyu Xuan, Jie Lu, Guangquan Zhang
2019 J jnl
Cross-domain Network Representations.
CoRR
Shan Xue, Jie Lu, Guangquan Zhang
2019 B conf
Cross-domain Recommendation with Semantic Correlation in Tagging Systems.
IJCNN
Qian Zhang, Peng Hao, Jie Lu, Guangquan Zhang
2019 J jnl
Cross-domain network representations.
Pattern Recognit.
Shan Xue, Jie Lu, Guangquan Zhang
2019 J jnl
Data-Driven Decision-Making (D
IEEE Trans. Emerg. Top. Comput. Intell.
Jie Lu, Zheng Yan, Jialin Han, Guangquan Zhang
2019 J jnl
Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer.
IEEE Trans. Syst. Man Cybern. Syst.
Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Jie Lu
2019 A* conf
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting.
KDD
Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang
2019 B conf
Domain Selection of Transfer Learning in Fuzzy Prediction Models.
FUZZ-IEEE
Hua Zuo, Guangquan Zhang, Witold Pedrycz, Jie Lu
2019 Misc conf
Drift Adaptation via Joint Distribution Alignment.
ISKE
Bin Zhang, Jie Lu, Guangquan Zhang
2019 A* conf
Enhancing Fashion Recommendation with Visual Compatibility Relationship.
WWW
Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang
2019 Misc conf
FreshGraph: A Spam-Aware Recommender System for Cold Start Problem.
ISKE
Di Zhang, Qian Zhang, Guanquan Zhang, Jie Lu
2019 J jnl
Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces.
IEEE Trans. Fuzzy Syst.
Hua Zuo, Jie Lu, Guangquan Zhang, Witold Pedrycz
2019 J jnl
Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning.
IEEE Trans. Fuzzy Syst.
Hua Zuo, Jie Lu, Guangquan Zhang, Feng Liu
2019 — conf
Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models.
IFSA/NAFIPS
Hua Zuo, Guangquan Zhang, Jie Lu
2019 J jnl
Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaohong Deng, Jie Lu, Dongrui Wu, Kup-Sze Choi, Shiliang Sun, Yusuke Nojima
2019 J jnl
Hierarchy Visualization for Group Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Wei Wang, Guangquan Zhang, Jie Lu
2019 B conf
Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting.
IJCNN
Dennis Chow, Anjin Liu, Guangquan Zhang, Jie Lu
2019 J jnl
Learning under Concept Drift: A Review.
IEEE Trans. Knowl. Data Eng.
Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang
2019 J jnl
Multiobjective e-commerce recommendations based on hypergraph ranking.
Inf. Sci.
Mingsong Mao, Jie Lu, Jialin Han, Guangquan Zhang
2019 A* conf
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data.
ICDM
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang
2019 J jnl
Open Set Domain Adaptation: Theoretical Bound and Algorithm.
CoRR
Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang
2019 J jnl
Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation.
IEEE Trans. Cybern.
Peng Hao, Guangquan Zhang, Luis Martínez-López, Jie Lu
2019 B conf
RsyGAN: Generative Adversarial Network for Recommender Systems.
IJCNN
Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang
2019 J jnl
TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators.
Future Gener. Comput. Syst.
Ximeng Wang, Yun Liu, Jie Lu, Fei Xiong, Guangquan Zhang
2019 B conf
Unsupervised Domain Adaptation with Sphere Retracting Transformation.
IJCNN
Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang
2018 B conf
A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems.
FUZZ-IEEE
Hang Yu, Jie Lu, Guangquan Zhang, Dianshuang Wu
2018 B conf
A Framework of Transferring Structures Across Large-scale Information Networks.
IJCNN
Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
2018 B conf
A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments.
FUZZ-IEEE
Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu
2018 J jnl
A reducibility method for the weak linear bilevel programming problems and a case study in principal-agent.
Inf. Sci.
Yue Zheng, Guangquan Zhang, Zhen Zhang, Jie Lu
2018 J jnl
Accumulating regional density dissimilarity for concept drift detection in data streams.
Pattern Recognit.
Anjin Liu, Jie Lu, Feng Liu, Guangquan Zhang
2018 J jnl
Active Fuzzy Weighting Ensemble for Dealing with Concept Drift.
Int. J. Comput. Intell. Syst.
Fan Dong, Jie Lu, Guangquan Zhang, Kan Li
2018 — conf
An Incremental Dual nu-Support Vector Regression Algorithm.
PAKDD (2)
Hang Yu, Jie Lu, Guangquan Zhang
2018 J jnl
Bayesian Deep Reinforcement Learning via Deep Kernel Learning.
Int. J. Comput. Intell. Syst.
Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang
2018 — conf
Counterfactual Inference with Hidden Confounders Using Implicit Generative Models.
Australasian Conference on Artificial Intelligence
Fujin Zhu, Adi Lin, Guangquan Zhang, Jie Lu
2018 — conf
Cross-domain Recommendation with Consistent Knowledge Transfer by Subspace Alignment.
WISE (2)
Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang
2018 — conf
Cross-domain Recommendation with Probabilistic Knowledge Transfer.
ICONIP (3)
Qian Zhang, Dianshuang Wu, Jie Lu, Guangquan Zhang
2018 J jnl
Decision Support Systems with Uncertainties in Big Data Environments.
Knowl. Based Syst.
Xianyi Zeng, Jie Lu
2018 — conf
Deep Multi-task Learning for Air Quality Prediction.
ICONIP (5)
Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li
2018 J jnl
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting.
CoRR
Bin Wang, Zheng Yan, Huaishao Luo, Tianrui Li, Jie Lu, Guangquan Zhang
2018 — conf
Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization.
Australasian Conference on Artificial Intelligence
Zheng Yan, Jie Lu, Guangquan Zhang
2018 J jnl
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding.
J. Informetrics
Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan L. Porter, Hongshu Chen, Guangquan Zhang
2018 J jnl
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes.
IEEE Trans. Neural Networks Learn. Syst.
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2018 B conf
Explore Uncertainty in Residual Networks for Crowds Flow Prediction.
IJCNN
Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li
2018 — conf
Fuzzy Domain Adaptation Using Unlabeled Target Data.
ICONIP (3)
Hua Zuo, Guangquan Zhang, Jie Lu
2018 J jnl
Fuzzy competence model drift detection for data-driven decision support systems.
Knowl. Based Syst.
Fan Dong, Guangquan Zhang, Jie Lu, Kan Li
2018 J jnl
Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models.
IEEE Trans. Fuzzy Syst.
Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu
2018 J jnl
Opinion Dynamics-Based Group Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Jorge Castro, Jie Lu, Guangquan Zhang, Yucheng Dong, Luis Martínez-López
2018 — conf
Predicting the dynamics of scientific activities: A diffusion-based network analytic methodology.
ASIST
Yi Zhang, Ximeng Wang, Guangquan Zhang, Jie Lu
2018 A* conf
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence.
AAAI
Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu
2018 J jnl
Structural property-aware multilayer network embedding for latent factor analysis.
Pattern Recognit.
Jie Lu, Junyu Xuan, Guangquan Zhang, Xiangfeng Luo
2018 J jnl
Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert-Schmidt Independence Criterion.
IEEE Trans. Fuzzy Syst.
Tinghua Wang, Jie Lu, Guangquan Zhang
2018 B conf
Unconstrained fuzzy feature fusion for heterogeneous unsupervised domain adaptation.
FUZZ-IEEE
Feng Liu, Guangquan Zhang, Jie Lu
2018 J jnl
Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations.
IEEE Trans. Fuzzy Syst.
Feng Liu, Jie Lu, Guangquan Zhang
2017 J jnl
A Bayesian nonparametric model for multi-label learning.
Mach. Learn.
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2017 J jnl
A Comparison of Bidding Strategies for Online Auctions Using Fuzzy Reasoning and Negotiation Decision Functions.
IEEE Trans. Fuzzy Syst.
Preetinder Kaur, Madhu Lata Goyal, Jie Lu
2017 J jnl
A Multi-Objective Load Balancing System for Cloud Environments.
Comput. J.
Fahimeh Ramezani, Jie Lu, Javid Taheri, Albert Y. Zomaya
2017 J jnl
A cross-domain recommender system with consistent information transfer.
Decis. Support Syst.
Qian Zhang, Dianshuang Wu, Jie Lu, Feng Liu, Guangquan Zhang
2017 B conf
A fuzzy kernel c-means clustering model for handling concept drift in regression.
FUZZ-IEEE
Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu
2017 B conf
A randomized neural network for data streams.
IJCNN
Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim
2017 J jnl
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks.
IEEE Trans. Fuzzy Syst.
Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Meng Joo Er
2017 J jnl
An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation.
Scientometrics
Yi Zhang, Yue Qian, Ying Huang, Ying Guo, Guangquan Zhang, Jie Lu
2017 B conf
An output-based knowledge transfer approach and its application in bladder cancer prediction.
IJCNN
Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu
2017 Misc conf
Applying dynamic Bayesian tree in property sales price estimation.
ISKE
Mehrdad Ziaee Nejad, Jie Lu, Vahid Behbood
2017 J jnl
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes.
IEEE Trans. Knowl. Data Eng.
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2017 Misc conf
Concept drift region identification via competence-based discrepancy distribution estimation.
ISKE
Fan Dong, Jie Lu, Kan Li, Guangquan Zhang
2017 J jnl
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization.
CoRR
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu
2017 J jnl
Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016.
Knowl. Based Syst.
Yi Zhang, Hongshu Chen, Jie Lu, Guangquan Zhang
2017 B conf
Detecting overlapping protein complexes in dynamic protein-protein interaction networks by developing a fuzzy clustering algorithm.
FUZZ-IEEE
Ruiping Yin, Kan Li, Guangquan Zhang, Jie Lu
2017 B conf
Enhanced word embedding similarity measures using fuzzy rules for query expansion.
FUZZ-IEEE
Qian Liu, Heyan Huang, Jie Lu, Yang Gao, Guangquan Zhang
2017 J jnl
Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events.
Inf. Sci.
Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang
2017 Misc conf
Fast concept drift detection using singular vector decomposition.
ISKE
Dan Shang, Guangquan Zhang, Jie Lu
2017 B conf
First-order causal process for causal modelling with instantaneous and cross-temporal relations.
IJCNN
Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu
2017 J jnl
Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models.
IEEE Trans. Fuzzy Syst.
Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu
2017 B conf
Fuzzy rule-based transfer learning for label space adaptation.
FUZZ-IEEE
Hua Zuo, Guangquan Zhang, Jie Lu, Witold Pedrycz
2017 B conf
Fuzzy time windowing for gradual concept drift adaptation.
FUZZ-IEEE
Anjin Liu, Guangquan Zhang, Jie Lu
2017 — conf
Generating a Risk Profile for Car Insurance Policyholders: a Deep Learning Conceptual Model.
ACIS
Mohammad Siami, Mohsen Naderpour, Jie Lu
2017 J jnl
Guest Editorial Special Section on Fuzzy Systems in Data Science.
IEEE Trans. Fuzzy Syst.
Jie Lu, Francisco Herrera, Guangquan Zhang
2017 J jnl
Heterogeneous Unsupervised Cross-domain Transfer Learning.
CoRR
Feng Liu, Guangquan Zhang, Haiyan Lu, Jie Lu
2017 B conf
Heterogeneous unsupervised domain adaptation based on fuzzy feature fusion.
FUZZ-IEEE
Feng Liu, Guangquan Zhang, Jie Lu
2017 Misc conf
Learning a fuzzy decision tree from uncertain data.
ISKE
Hang Yu, Jie Lu, Guangquan Zhang
2017 J jnl
Mixed Similarity Diffusion for Recommendation on Bipartite Networks.
IEEE Access
Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu
2017 J jnl
Multirelational Social Recommendations via Multigraph Ranking.
IEEE Trans. Cybern.
Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang
2017 A* conf
Regional Concept Drift Detection and Density Synchronized Drift Adaptation.
IJCAI
Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu
2017 J jnl
Requirement-oriented core technological components' identification based on SAO analysis.
Scientometrics
Chao Yang, Donghua Zhu, Xuefeng Wang, Yi Zhang, Guangquan Zhang, Jie Lu
2017 J jnl
Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics.
J. Assoc. Inf. Sci. Technol.
Yi Zhang, Guangquan Zhang, Donghua Zhu, Jie Lu
2017 J jnl
Tri-level decision-making for decentralized vendor-managed inventory.
Inf. Sci.
Jialin Han, Jie Lu, Guangquan Zhang
2017 Misc conf
Tri-level multi-follower decision-making in a partial-cooperative situation.
ISKE
Jialin Han, Shuping Wan, Jie Lu, Guangquan Zhang
2016 J jnl
A Humble Tribute to 50 Years of Fuzzy Sets.
Int. J. Comput. Intell. Syst.
Luis Martínez-López, Jie Lu
2016 J jnl
A concept drift-tolerant case-base editing technique.
Artif. Intell.
Ning Lu, Jie Lu, Guangquan Zhang, Ramón López de Mántaras
2016 B conf
A fast load pattern extraction approach based on dimension reduction and sampling.
FUZZ-IEEE
Tiefeng Zhang, Mingdi Gu, Guangquan Zhang, Jie Lu
2016 J jnl
A hybrid similarity measure method for patent portfolio analysis.
J. Informetrics
Yi Zhang, Lining Shang, Lu Huang, Alan L. Porter, Guangquan Zhang, Jie Lu, Donghua Zhu
2016 B conf
A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application.
FUZZ-IEEE
Shang-Lin Wu, Yu-Ting Liu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Chun-Hsiang Chuang, Wen-Chieh Lin, Chin-Teng Lin
2016 B conf
A multi-objective optimization model for virtual machine mapping in cloud data centres.
FUZZ-IEEE
Fahimeh Ramezani, Mohsen Naderpour, Jie Lu
2016 J jnl
A safety-critical decision support system evaluation using situation awareness and workload measures.
Reliab. Eng. Syst. Saf.
Mohsen Naderpour, Jie Lu, Guangquan Zhang
2016 J jnl
A solution to bi/tri-level programming problems using particle swarm optimization.
Inf. Sci.
Jialin Han, Guangquan Zhang, Yaoguang Hu, Jie Lu
2016 — conf
An Online Competence-Based Concept Drift Detection Algorithm.
Australasian Conference on Artificial Intelligence
Anjin Liu, Guangquan Zhang, Jie Lu, Ning Lu, Chin-Teng Lin
2016 J jnl
An incremental meta-cognitive-based scaffolding fuzzy neural network.
Neurocomputing
Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, Edwin Lughofer, Chee Peng Lim
2016 B conf
Concept drift detection based on equal density estimation.
IJCNN
Feng Gu, Guangquan Zhang, Jie Lu, Chin-Teng Lin
2016 B conf
Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network.
FUZZ-IEEE
Yu-Ting Liu, Shang-Lin Wu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Wen-Chieh Lin, Chin-Teng Lin
2016 B conf
Enhancing cross domain recommendation with domain dependent tags.
FUZZ-IEEE
Peng Hao, Guangquan Zhang, Jie Lu
2016 J jnl
Evolving Type-2 Fuzzy Classifier.
IEEE Trans. Fuzzy Syst.
Mahardhika Pratama, Jie Lu, Guangquan Zhang
2016 J jnl
Fuzzy Bi-level Decision-Making Techniques: A Survey.
Int. J. Comput. Intell. Syst.
Guangquan Zhang, Jialin Han, Jie Lu
2016 B conf
Fuzzy user-interest drift detection based recommender systems.
FUZZ-IEEE
Qian Zhang, Dianshuang Wu, Guangquan Zhang, Jie Lu
2016 J jnl
Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation.
ACM Trans. Inf. Syst.
Xiangfeng Luo, Junyu Xuan, Jie Lu, Guangquan Zhang
2016 J jnl
Member contribution-based group recommender system.
Decis. Support Syst.
Wei Wang, Guangquan Zhang, Jie Lu
2016 B conf
Multi-instance graphical transfer clustering for traffic data learning.
IJCNN
Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong
2016 J jnl
Multilevel decision-making: A survey.
Inf. Sci.
Jie Lu, Jialin Han, Yaoguang Hu, Guangquan Zhang
2016 J jnl
Pessimistic bilevel optimization model for risk-averse production-distribution planning.
Inf. Sci.
Yue Zheng, Guangquan Zhang, Jialin Han, Jie Lu
2016 J jnl
Scaffolding type-2 classifier for incremental learning under concept drifts.
Neurocomputing
Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Sreenatha G. Anavatti
2016 J jnl
Uncertainty Analysis for the Keyword System of Web Events.
IEEE Trans. Syst. Man Cybern. Syst.
Junyu Xuan, Xiangfeng Luo, Guangquan Zhang, Jie Lu, Zheng Xu
2015 Misc conf
A Compromise-Based Particle Swarm Optimization Algorithm for Solving Bi-Level Programming Problems with Fuzzy Parameters.
ISKE
Jialin Han, Yaoguang Hu, Guangquan Zhang, Jie Lu
2015 Misc conf
A Framework of Hybrid Recommender System for Personalized Clinical Prescription.
ISKE
Qian Zhang, Guangquan Zhang, Jie Lu, Dianshuang Wu
2015 J jnl
A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services.
IEEE Trans. Fuzzy Syst.
Dianshuang Wu, Guangquan Zhang, Jie Lu
2015 J jnl
A Fuzzy Tree Matching-Based Personalized E-Learning Recommender System.
IEEE Trans. Fuzzy Syst.
Dianshuang Wu, Jie Lu, Guangquan Zhang
2015 B conf
A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams.
SMC
Mahardhika Pratama, Jie Lu, Guangquan Zhang
2015 B conf
A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation.
FUZZ-IEEE
Hongshu Chen, Guangquan Zhang, Jie Lu, Donghua Zhu
2015 B conf
A fuzzy content matching-based e-Commerce recommendation approach.
FUZZ-IEEE
Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang
2015 J jnl
A new solution algorithm for solving rule-sets based bilevel decision problems.
Concurr. Comput. Pract. Exp.
Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He, Zhongzhi Shi
2015 J jnl
A patent time series processing component for technology intelligence by trend identification functionality.
Neural Comput. Appl.
Hongshu Chen, Guangquan Zhang, Donghua Zhu, Jie Lu
2015 J jnl
A semantic enhanced hybrid recommendation approach: A case study of e-Government tourism service recommendation system.
Decis. Support Syst.
Malak Al-Hassan, Haiyan Lu, Jie Lu
2015 J jnl
An abnormal situation modeling method to assist operators in safety-critical systems.
Reliab. Eng. Syst. Saf.
Mohsen Naderpour, Jie Lu, Guangquan Zhang
2015 J jnl
An effective recommender system by unifying user and item trust information for B2B applications.
J. Comput. Syst. Sci.
Qusai Shambour, Jie Lu
2015 B conf
An incremental interval Type-2 neural fuzzy Classifier.
FUZZ-IEEE
Mahardhika Pratama, Jie Lu, Guangquan Zhang
2015 J jnl
Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems.
Int. J. Intell. Syst.
Wei Wang, Guangquan Zhang, Jie Lu
2015 J jnl
Evolutionary algorithm-based multi-objective task scheduling optimization model in cloud environments.
World Wide Web
Fahimeh Ramezani, Jie Lu, Javid Taheri, Farookh Khadeer Hussain
2015 — conf
Feature Spaces-based Transfer Learning.
IFSA-EUSFLAT
Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu
2015 J jnl
Guest Editorial Web-Based Intelligent Support Systems - Preface to the Special Section.
IEEE Trans. Fuzzy Syst.
Witold Pedrycz, Jie Lu
2015 B conf
Handling uncertainty in cloud resource management using fuzzy Bayesian networks.
FUZZ-IEEE
Fahimeh Ramezani, Mohsen Naderpour, Jie Lu
2015 Misc conf
Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning.
ISKE
Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
2015 A* conf
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process.
ICDM
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2015 J jnl
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process.
CoRR
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2015 — book
Multi-Level Decision Making - Models, Methods and Applications
Guangquan Zhang, Jie Lu, Ya Gao
2015 J jnl
Multistep Fuzzy Bridged Refinement Domain Adaptation Algorithm and Its Application to Bank Failure Prediction.
IEEE Trans. Fuzzy Syst.
Vahid Behbood, Jie Lu, Guangquan Zhang, Witold Pedrycz
2015 J jnl
Nonnegative Multi-level Network Factorization for Latent Factor Analysis.
CoRR
Junyu Xuan, Jie Lu, Xiangfeng Luo, Guangquan Zhang
2015 J jnl
Nonparametric Relational Topic Models through Dependent Gamma Processes.
CoRR
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
2015 J jnl
Preface: Intelligent Techniques for Data Science.
Int. J. Intell. Syst.
Tianrui Li, Jie Lu, Luis Martínez-López
2015 J jnl
Recommender system application developments: A survey.
Decis. Support Syst.
Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang
2015 J jnl
Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm.
IEEE Trans. Fuzzy Syst.
Mahardhika Pratama, Sreenatha G. Anavatti, Jie Lu
2015 — conf
SEIR Immune Strategy for Instance Weighted Naive Bayes Classification.
ICONIP (1)
Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong
2015 J jnl
Sensitivity Level-Based Citizen Personal Information Model for Privacy Protection.
J. Softw.
Abdullah Alqahtani, Haiyan Lu, Jie Lu
2015 J jnl
Topic Model for Graph Mining.
IEEE Trans. Cybern.
Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo
2015 Misc conf
Transfer Learning in Hierarchical Feature Spaces.
ISKE
Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu, Xianli Meng
2015 J jnl
Transfer learning using computational intelligence: A survey.
Knowl. Based Syst.
Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang
2015 J jnl
Tri-level decision-making with multiple followers: Model, algorithm and case study.
Inf. Sci.
Jialin Han, Jie Lu, Yaoguang Hu, Guangquan Zhang
2014 J jnl
A Customer Churn Prediction Model in Telecom Industry Using Boosting.
IEEE Trans. Ind. Informatics
Ning Lu, Hua Lin, Jie Lu, Guangquan Zhang
2014 J jnl
A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks.
J. Softw.
Mohsen Naderpour, Jie Lu
2014 J jnl
A bi-Level Decision Model for Customer Churn Analysis.
Comput. Intell.
Ya Gao, Guangquan Zhang, Jie Lu, Jun Ma
2014 J jnl
A fuzzy reliability assessment of basic events of fault trees through qualitative data processing.
Fuzzy Sets Syst.
Julwan Hendry Purba, Jie Lu, Guangquan Zhang, Witold Pedrycz
2014 B conf
A fuzzy tree matching-based personalised e-learning recommender system.
FUZZ-IEEE
Dianshuang Wu, Guangquan Zhang, Jie Lu
2014 B conf
A novel evaluation approach for power distribution system planning based on linear programming model and ELECTRE III.
FUZZ-IEEE
Tiefeng Zhang, Guangquan Zhang, Jie Lu, Jianwei Gu
2014 B conf
A price prediction model for online auctions using fuzzy reasoning techniques.
FUZZ-IEEE
Preetinder Kaur, Madhu Lata Goyal, Jie Lu
2014 — conf
A recurrent meta-cognitive-based Scaffolding classifier from data streams.
EALS
Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, José Antonio Iglesias
2014 J jnl
A three-level-similarity measuring method of participant opinions in multiple-criteria group decision supports.
Decis. Support Syst.
Jun Ma, Jie Lu, Guangquan Zhang
2014 J jnl
An Intelligent System by fuzzy reliability Algorithm in Fault Tree Analysis for nuclear Power plant Probabilistic Safety Assessment.
Int. J. Comput. Intell. Appl.
Julwan Hendry Purba, Jie Lu, Guangquan Zhang
2014 — conf
An extended bilevel programming model and its kth-best algorithm for dynamic decision making in emergency situations.
MCDM
Hong Zhou, Jie Lu, Guangquan Zhang
2014 J jnl
An intelligent group decision-support system and its application for project performance evaluation.
J. Enterp. Inf. Manag.
Fahimeh Ramezani, Jie Lu
2014 J jnl
An intelligent situation awareness support system for safety-critical environments.
Decis. Support Syst.
Mohsen Naderpour, Jie Lu, Guangquan Zhang
2014 — conf
Concept Drift Detection Based on Anomaly Analysis.
ICONIP (1)
Anjin Liu, Guangquan Zhang, Jie Lu
2014 J jnl
Concept drift detection via competence models.
Artif. Intell.
Ning Lu, Guangquan Zhang, Jie Lu
2014 B conf
Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system.
IJCNN
Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo
2014 J jnl
Fuzzy Refinement Domain Adaptation for Long Term Prediction in Banking Ecosystem.
IEEE Trans. Ind. Informatics
Vahid Behbood, Jie Lu, Guangquan Zhang
2014 — ch.
Human-Centric Cognitive Decision Support System for Ill-Structured Problems.
Human-Centric Decision-Making Models for Social Sciences
Tasneem Memon, Jie Lu, Farookh Khadeer Hussain
2014 J jnl
Knowledge-based life event model for e-government service integration with illustrative examples.
Intell. Decis. Technol.
Abdullah Alqahtani, Haiyan Lu, Jie Lu
2014 — conf
Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making.
ICONIP (3)
Jialin Han, Guangquan Zhang, Jie Lu, Yaoguang Hu, Shuyuan Ma
2014 — conf
Paired Structures in Logical and Semiotic Models of Natural Language.
IPMU (2)
Juan Tinguaro Rodríguez, Camilo Andrés Franco de los Ríos, Javier Montero, Jie Lu
2014 — ch.
Personalised Property Investment Risk Analysis Model in the Real Estate Industry.
Human-Centric Decision-Making Models for Social Sciences
Nur Atiqah Rochin Demong, Jie Lu, Farookh Khadeer Hussain
2014 J jnl
Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization.
Int. J. Parallel Program.
Fahimeh Ramezani, Jie Lu, Farookh Khadeer Hussain
2014 J jnl
Web-Page Recommendation Based on Web Usage and Domain Knowledge.
IEEE Trans. Knowl. Data Eng.
Thi Thanh Sang Nguyen, Haiyan Lu, Jie Lu
2013 B conf
A Fuzzy Tree Similarity Measure and Its Application in Telecom Product Recommendation.
SMC
Dianshuang Wu, Guangquan Zhang, Jie Lu
2013 — conf
A Glimpse of the Flood of Emails after the Sad News Was Spread.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 — conf
A Hybrid Bayesian Network for Safety of Chemical Plants.
PACIS
Mohsen Naderpour, Jie Lu
2013 J jnl
A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems.
IEEE Trans. Ind. Electron.
Jie Lu, Li Niu, Guangquan Zhang
2013 B conf
A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality.
SMC
Hongshu Chen, Guangquan Zhang, Jie Lu
2013 — ed.
A Tribute to Prof. Dr. Da Ruan
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 J jnl
A Web-Based Personalized Business Partner Recommendation System using Fuzzy Semantic Techniques.
Comput. Intell.
Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin, Guangquan Zhang
2013 B conf
A fuzzy dynamic bayesian network-based situation assessment approach.
FUZZ-IEEE
Mohsen Naderpour, Jie Lu, Guangquan Zhang
2013 — conf
A fuzzy tree similarity based recommendation approach for telecom products.
IFSA/NAFIPS
Dianshuang Wu, Guangquan Zhang, Jie Lu
2013 — conf
A fuzzy tri-level decision making algorithm and its application in supply chain.
EUSFLAT Conf.
Zhen Zhang, Guangquan Zhang, Jie Lu, Chonghui Guo
2013 J jnl
A hybrid fuzzy-based personalized recommender system for telecom products/services.
Inf. Sci.
Zui Zhang, Hua Lin, Kun Liu, Dianshuang Wu, Guangquan Zhang, Jie Lu
2013 — conf
A hybrid model for migrating customer segmentation with missing attributes.
IFSA/NAFIPS
Jun Ma, H. Lin, Jie Lu, Guangquan Zhang
2013 — conf
An Enhanced Mental Model Elicitation Technique to Improve Mental Model Accuracy.
ICONIP (1)
Tasneem Memon, Jie Lu, Farookh Khadeer Hussain
2013 — conf
An online fuzzy Decision Support System for Resource Management in cloud environments.
IFSA/NAFIPS
Fahimeh Ramezani, Jie Lu, Farookh Khadeer Hussain
2013 — conf
Chinese Memorial Plaque and Memoriam Book.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 — conf
Education.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 J jnl
FACETS: A cognitive business intelligence system.
Inf. Syst.
Li Niu, Jie Lu, Guangquan Zhang, Dianshuang Wu
2013 J jnl
Fuzzy bridged Refinement Domain Adaptation: Long-Term Bank Failure Prediction.
Int. J. Comput. Intell. Appl.
Vahid Behbood, Jie Lu, Guangquan Zhang
2013 — conf
Guest Editor in Special Issues of Journals.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 — conf
In Memoriam EUSFLAT Board Member Da Ruan: Obituary.
A Tribute to Prof. Dr. Da Ruan
Etienne E. Kerre, Luis Martínez-López, Jie Lu, Javier Montero
2013 — conf
In the Days since Da Passed Away: Our Best Adjunct Professor and Best Friend.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Guangquan Zhang, Jun Ma, Fengjie Wu, Chao Wang, Jack Zhang, Julwan Hendry Purba
2013 J jnl
Incremental collaborative filtering based on Mahalanobis distance and fuzzy membership for recommender systems.
Int. J. Gen. Syst.
Maytiyanin Komkhao, Jie Lu, Zhong Li, Wolfgang A. Halang
2013 — conf
Keynotes, Tutorials and Panels in Conferences.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 — conf
Mining Websites Preferences on Web Events in Big Data Environment.
CSE
Junyu Xuan, Xiangfeng Luo, Jie Lu
2013 — conf
Obituary in SCK Website: In Memoriam Da Ruan: http://www.sckcen.be/fr/Nouvelles/In-Memoriam-Da-Ruan.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 — conf
Obituary: In Memoriam Prof. Dr. Da Ruan.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 J jnl
Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services.
Decis. Support Syst.
Khaled Amailef, Jie Lu
2013 B conf
Optimal Cloud Resource Auto-Scaling for Web Applications.
CCGRID
Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long
2013 — conf
Publications.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 — conf
Research Achievements.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 — conf
Scientific Career.
A Tribute to Prof. Dr. Da Ruan
Jie Lu, Etienne E. Kerre
2013 — conf
Subject-Oriented Semantic Knowledge Warehouse (SSKW) to Support Cognitive DSS.
OTM Conferences
Tasneem Memon, Jie Lu, Farookh Khadeer Hussain, Rajan Rauniyar
2013 A conf
Task Scheduling Optimization in Cloud Computing Applying Multi-Objective Particle Swarm Optimization.
ICSOC
Fahimeh Ramezani, Jie Lu, Farookh Khadeer Hussain
2013 B conf
Text categorization by fuzzy domain adaptation.
FUZZ-IEEE
Vahid Behbood, Jie Lu, Guangquan Zhang
2012 — conf
A Fuzzy Group Decision Support System for Projects Evaluation.
IPMU (1)
Fahimeh Ramezani, Jie Lu
2012 J jnl
A Method for Multiple Periodic Factor Prediction Problems Using Complex Fuzzy Sets.
IEEE Trans. Fuzzy Syst.
Jun Ma, Guangquan Zhang, Jie Lu
2012 — ch.
A New Approach for Choosing the Most Appropriate Fuzzy Ranking Algorithm for Solving MADM Problems.
Autonomous Systems: Developments and Trends
Fahimeh Ramezani, Jie Lu
2012 — conf
A Proficient and Dynamic Bidding Agent for Online Auctions.
ADMI
Preetinder Kaur, Madhu Lata Goyal, Jie Lu
2012 — conf
A Similarity Measure on Tree Structured Business Data.
ACIS
Dianshuang Wu, Guangquan Zhang, Jie Lu, Wolfgang A. Halang
2012 B conf
A fuzzy dual expert system for managing situation awareness in a safety supervisory system.
FUZZ-IEEE
Mohsen Naderpour, Jie Lu
2012 J jnl
A trust-semantic fusion-based recommendation approach for e-business applications.
Decis. Support Syst.
Qusai Shambour, Jie Lu
2012 J jnl
An Area defuzzification Technique to Assess nuclear Event Reliability Data from Failure Possibilities.
Int. J. Comput. Intell. Appl.
Julwan Hendry Purba, Jie Lu, Guangquan Zhang, Da Ruan
2012 — conf
An Extended Version of the Fuzzy Multicriteria Group Decision-Making Method in Evaluation Processes.
IPMU (1)
Macarena Espinilla, Jie Lu, Jun Ma, Luis Martínez-López
2012 — conf
Determining Pattern Similarity in a Medical Recommender System.
ICDKE
Maytiyanin Komkhao, Jie Lu, Lichen Zhang
2012 J jnl
Investigation of sequential pattern mining techniques for web recommendation.
Int. J. Inf. Decis. Sci.
Thi Thanh Sang Nguyen, Haiyan Lu, Tich Phuoc Tran, Jie Lu
2012 J jnl
Multifollower Trilevel Decision Making Models and System.
IEEE Trans. Ind. Informatics
Jie Lu, Guangquan Zhang, Javier Montero, Luis Garmendia
2012 — conf
Personalised Recommender Systems for E-Business Intelligence with Soft Computing.
QLSC
Jie Lu
2012 — conf
Price Forecasting Using Dynamic Assessment of Market Conditions and Agent's Bidding Behavior.
ICONIP (1)
Preetinder Kaur, Madhu Lata Goyal, Jie Lu
2012 — conf
Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support.
ICONIP (2)
Tasneem Memon, Jie Lu, Farookh Khadeer Hussain
2011 — ch.
A Fuzzy Hierarchical Multiple Criteria Group Decision Support System - Decider - and Its Applications.
Consensual Processes
Jun Ma, Guangquan Zhang, Jie Lu
2011 J jnl
A Hybrid Knowledge-based Risk Prediction Method Using Fuzzy Logic and CBR for Avian Influenza Early Warning.
J. Multiple Valued Log. Soft Comput.
Jie Zhang, Jie Lu, Guangquan Zhang
2011 — conf
A Hybrid Multi-criteria Semantic-Enhanced Collaborative Filtering Approach for Personalized Recommendations.
Web Intelligence
Qusai Shambour, Jie Lu
2011 J jnl
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises.
IEEE Trans. Fuzzy Syst.
Xiaowei Yang, Guangquan Zhang, Jie Lu, Jun Ma
2011 J jnl
A Seasonal Auto-Regressive Model Based Support Vector Regression Prediction Method for H5N1 avian Influenza Animal Events.
Int. J. Comput. Intell. Appl.
Jie Zhang, Jie Lu, Guangquan Zhang
2011 J jnl
A hybrid trust-enhanced collaborative filtering recommendation approach for personalized government-to-business e-services.
Int. J. Intell. Syst.
Qusai Shambour, Jie Lu
2011 J jnl
A knowledge-based multi-role decision support system for ore blending cost optimization of blast furnaces.
Eur. J. Oper. Res.
Ruijun Zhang, Jie Lu, Guangquan Zhang
2011 J jnl
A mobile-based emergency response system for intelligent m-government services.
J. Enterp. Inf. Manag.
Khaled Amailef, Jie Lu
2011 J jnl
An Algorithm for Solving Rule Sets-Based Bilevel Decision Problems.
Comput. Intell.
Guangquan Zhang, Zheng Zheng, Jie Lu, Qing He
2011 C conf
An Innovative Self-Adaptive Configuration Optimization System in Cloud Computing.
DASC
Jing Jiang, Jie Lu, Guangquan Zhang
2011 J jnl
An information presentation method based on tree-like super entity component.
J. Syst. Softw.
Ruijun Zhang, Jie Lu, Guangquan Zhang
2011 — conf
Combining one class classification models for avian influenza outbreaks.
MCDM
Jie Zhang, Jie Lu, Guangquan Zhang
2011 J jnl
Competitive Strategic Bidding Optimization in Electricity Markets Using Bilevel Programming and Swarm Technique.
IEEE Trans. Ind. Electron.
Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu
2011 C conf
Data mining driven agents for predicting online auction's end price.
CIDM
Preetinder Kaur, Madhu Lata Goyal, Jie Lu
2011 — conf
Government-to-Business Personalized e-Services Using Semantic-Enhanced Recommender System.
EGOVIS
Qusai Shambour, Jie Lu
2011 J jnl
Guest editorial: a special issue on optimization techniques for business intelligence systems.
J. Glob. Optim.
Jie Lu, Guangquan Zhang
2011 — conf
Integrating Multi-Criteria Collaborative Filtering and Trust filtering for personalized Recommender Systems.
MCDM
Qusai Shambour, Jie Lu
2011 — conf
Intelligent financial warning model using Fuzzy Neural Network and case-based reasoning.
CIFEr
Vahid Behbood, Jie Lu
2011 J jnl
Joint Sub-Classifiers One Class Classification Model for avian Influenza Outbreak Detection.
Int. J. Comput. Intell. Appl.
Jie Zhang, Jie Lu, Guangquan Zhang
2011 B conf
Long term bank failure prediction using Fuzzy Refinement-based Transductive Transfer learning.
FUZZ-IEEE
Vahid Behbood, Jie Lu, Guangquan Zhang
2011 B conf
Modelling Heterogeneity among Experts in Multi-criteria Group Decision Making Problems.
MDAI
Ignacio J. Pérez, Sergio Alonso, Francisco Javier Cabrerizo, Jie Lu, Enrique Herrera-Viedma
2011 J jnl
Particle swarm optimization for bi-level pricing problems in supply chains.
J. Glob. Optim.
Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee
2011 — conf
Pricing Analysis in Online Auctions Using Clustering and Regression Tree Approach.
ADMI
Preetinder Kaur, Madhu Lata Goyal, Jie Lu
2011 B conf
Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop.
SERVICES
Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long
2011 J jnl
Similarity measure models and algorithms for hierarchical cases.
Expert Syst. Appl.
Dianshuang Wu, Jie Lu, Guangquan Zhang
2011 J jnl
Theme-Based Comprehensive Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision-Making Method.
IEEE Trans. Ind. Electron.
Jie Lu, Jun Ma, Guangquan Zhang, Yijun Zhu, Xianyi Zeng, Ludovic Koehl
2010 — conf
A Framework for Delivering Personalized e-Government Tourism Services.
WEBIST (2)
Malak Al-Hassan, Helen Lu, Jie Lu
2010 — conf
A Framework of Hybrid Recommendation System for Government-to-Business Personalized E-Services.
ITNG
Qusai Shambour, Jie Lu
2010 — conf
A Hybrid Approach for Fault Tree Analysis Combining Probabilistic Method with Fuzzy Numbers.
ICAISC (1)
Julwan Hendry Purba, Jie Lu, Da Ruan, Guangquan Zhang
2010 B conf
A Knowledge-based Efficiency Assessment System for Distribution Network using Data Envelopment Analysis.
RCIS
Tiefeng Zhang, Lisong Liang, Jie Lu, Hua Lin, Guangquan Zhang
2010 J jnl
A bm Lambda -Cut and Goal-Programming-Based Algorithm for Fuzzy-Linear Multiple-Objective Bilevel Optimization.
IEEE Trans. Fuzzy Syst.
Ya Gao, Guangquan Zhang, Jun Ma, Jie Lu
2010 C conf
A fuzzy matching based recommendation approach for mobile products/services.
ISDA
Dianshuang Wu, Jie Lu, Guangquan Zhang, Hua Lin
2010 Misc conf
A hybrid recommendation approach for hierarchical items.
ISKE
Dianshuang Wu, Jie Lu, Guangquan Zhang
2010 J jnl
A special issue on Intelligent Decision Support and Warning Systems.
Knowl. Based Syst.
Jie Lu, Da Ruan, Guangquan Zhang
2010 J jnl
A special issue on decision intelligence with soft computing.
Soft Comput.
Jie Lu, Guangquan Zhang
2010 J jnl
A state-based knowledge representation approach for information logical inconsistency detection in warning systems.
Knowl. Based Syst.
Jun Ma, Guangquan Zhang, Jie Lu
2010 Misc conf
Adaptive inference-based learning and rule generation algorithms in Fuzzy Neural Network for failure prediction.
ISKE
Vahid Behbood, Jie Lu, Guangquan Zhang
2010 J jnl
Adaptive pruning algorithm for least squares support vector machine classifier.
Soft Comput.
Xiaowei Yang, Jie Lu, Guangquan Zhang
2010 J jnl
BizSeeker: A hybrid semantic recommendation system for personalized government-to-business e-services.
Internet Res.
Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin, Guangquan Zhang
2010 J jnl
Collaborative management of web ontology data with flexible access control.
Expert Syst. Appl.
Jie Lu, Chao Wang, Guangquan Zhang, Jun Ma
2010 J jnl
Decider: A fuzzy multi-criteria group decision support system.
Knowl. Based Syst.
Jun Ma, Jie Lu, Guangquan Zhang
2010 B conf
Delta-equalities of Complex Fuzzy Relations.
AINA
Guangquan Zhang, Tharam S. Dillon, Kai-Yuan Cai, Jun Ma, Jie Lu
2010 C conf
Detecting Change via Competence Model.
ICCBR
Ning Lu, Guangquan Zhang, Jie Lu
2010 C conf
Fault diagnosis of transformer using association rule mining and knowledge base.
ISDA
Tiefeng Zhang, Jie Lu, Guangquan Zhang, Qian Ding
2010 J jnl
Fuzzy bilevel programming with multiple objectives and cooperative multiple followers.
J. Glob. Optim.
Guangquan Zhang, Jie Lu
2010 — conf
Lifeevent ontology oriented e-government service integration.
SOCA
Farzad Sanati, Jie Lu
2010 J jnl
Model, solution concept, and Kth-best algorithm for linear trilevel programming.
Inf. Sci.
Guangquan Zhang, Jie Lu, Javier Montero, Yi Zeng
2010 J jnl
Multi-criteria Group Decision Support with Linguistic Variables in Long-term Scenarios for Belgian Energy Policy.
J. Univers. Comput. Sci.
Da Ruan, Jie Lu, Erik Laes, Guangquan Zhang, Jun Ma, Gaston Meskens
2010 C conf
Ontology-style Web usage model for semantic Web applications.
ISDA
Thi Thanh Sang Nguyen, Haiyan Lu, Jie Lu
2010 — conf
Personalized e-Government Services: Tourism Recommender System Framework.
WEBIST (Selected Papers)
Malak Al-Hassan, Haiyan Lu, Jie Lu
2010 J jnl
Power Distribution System Planning Evaluation by a Fuzzy Multi-Criteria Group Decision Support System.
Int. J. Comput. Intell. Syst.
Tiefeng Zhang, Guangquan Zhang, Jun Ma, Jie Lu
2010 J jnl
Team situation awareness measure using semantic utility functions for supporting dynamic decision-making.
Soft Comput.
Jun Ma, Jie Lu, Guangquan Zhang
2010 Misc conf
Trust-Based Decision Making in Dynamic Environments.
GrC
Will Tao, Jie Lu
2009 B conf
A Bilevel Optimization Model and a PSO-based Algorithm in Day-ahead Electricity Markets.
SMC
Guangquan Zhang, Jie Lu, Ya Gao, Guoli Zhang
2009 — conf
A Decision Making Model for Vendor-Buyer Inventory Systems.
RSFDGrC
Hui-Ming Wee, Jie Lu, Guangquan Zhang, Huai-En Chiao, Ya Gao
2009 — conf
A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains.
ICONIP (2)
Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee
2009 — conf
A Fuzzy Bilevel Model and a PSO-Based Algorithm for Day-Ahead Electricity Market Strategy Making.
KES (2)
Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu
2009 J jnl
A Fuzzy Multi-Objective bilevel Decision Support System.
Int. J. Inf. Technol. Decis. Mak.
Ya Gao, Guangquan Zhang, Jie Lu
2009 B conf
A Hybrid Knowledge-based Prediction Method for Avian Influenza Early Warning.
SMC
Guangquan Zhang, Jie Zhang, Jie Lu
2009 C conf
A framework for delivering personalized e-government services from a citizen-centric approach.
iiWAS
Malak Al-Hassan, Haiyan Lu, Jie Lu
2009 J jnl
A linguistic intelligent user guide for method selection in multi-objective decision support systems.
Inf. Sci.
Guangquan Zhang, Jie Lu
2009 J jnl
A linguistic multi-criteria group decision support system for fabric hand evaluation.
Fuzzy Optim. Decis. Mak.
Jie Lu, Yijun Zhu, Xianyi Zeng, Ludovic Koehl, Jun Ma, Guangquan Zhang
2009 Misc conf
A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers.
SAC
Ya Gao, Guangquan Zhang, Jie Lu
2009 — conf
An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems.
KES (2)
Ning Lu, Jie Lu, Guangquan Zhang
2009 — book
Cognition-Driven Decision Support for Business Intelligence: Models, Techniques, Systems and Applications
Li Niu, Jie Lu, Guangquan Zhang
2009 J jnl
Cost-benefit factor analysis in e-services using bayesian networks.
Expert Syst. Appl.
Jie Lu, Chenggang Bai, Guangquan Zhang
2009 — conf
Impute Missing Assessments by Opinion Clustering in Multi-Criteria Group Decision Making Problems.
IFSA/EUSFLAT Conf.
Jun Ma, Guangquan Zhang, Jie Lu, Da Ruan
2009 J jnl
Information inconsistencies detection using a rule-map technique.
Expert Syst. Appl.
Jun Ma, Jie Lu, Guangquan Zhang
2009 — conf
Maintaining Footprint-Based Retrieval for Case Deletion.
ICONIP (2)
Ning Lu, Jie Lu, Guangquan Zhang
2009 J jnl
Operation properties and delta-equalities of complex fuzzy sets.
Int. J. Approx. Reason.
Guangquan Zhang, Tharam S. Dillon, Kai-Yuan Cai, Jun Ma, Jie Lu
2009 J jnl
Rule sets based bilevel decision model and algorithm.
Expert Syst. Appl.
Zheng Zheng, Jie Lu, Guangquan Zhang, Qing He
2009 J jnl
Web ontology data matching for integration: method and framework.
Int. J. Web Inf. Syst.
Chao Wang, Jie Lu, Guangquan Zhang
2008 — conf
A Fuzzy Decision Support System for Garment New Product Development.
Australasian Conference on Artificial Intelligence
Jie Lu, Yijun Zhu, Xianyi Zeng, Ludovic Koehl, Jun Ma, Guangquan Zhang
2008 — conf
A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Objective-Shared Followers.
SEAL
Ya Gao, Guangquan Zhang, Jie Lu
2008 B conf
A fuzzy multi-criteria group decision support system for nonwoven based cosmetic product development evaluation.
FUZZ-IEEE
Jie Lu, Xiaoguang Deng, Philippe Vroman, Xianyi Zeng, Jun Ma, Guangquan Zhang
2008 J jnl
A lambda-Cut Approximate Algorithm for Goal-Based bilevel Risk Management Systems.
Int. J. Inf. Technol. Decis. Mak.
Ya Gao, Guangquan Zhang, Jie Lu, Tharam S. Dillon, Xianyi Zeng
2008 B conf
A particle swarm optimization based algorithm for fuzzy bilevel decision making.
FUZZ-IEEE
Ya Gao, Guangquan Zhang, Jie Lu
2008 — ch.
An Approximation Kuhn-Tucker Approach for Fuzzy Linear Bilevel Decision Making.
Intelligent Decision Making: An AI-Based Approach
Guangquan Zhang, Jie Lu, Tharam S. Dillon
2008 J jnl
An Extended
Int. J. Comput. Intell. Syst.
Guangquan Zhang, Chenggen Shi, Jie Lu
2008 J jnl
An algorithm for fuzzy multi-objective multi-follower partial cooperative bilevel programming.
J. Intell. Fuzzy Syst.
Guangquan Zhang, Jie Lu, Ya Gao
2008 C conf
An ontology data matching method for web information integration.
iiWAS
Chao Wang, Jie Lu, Guangquan Zhang
2008 J jnl
Decision Making in Multi-Issue e-Market Auction Using Fuzzy Techniques and Negotiable Attitudes.
J. Theor. Appl. Electron. Commer. Res.
Madhu Lata Goyal, Jie Lu, Guang Zhang
2008 J jnl
Fuzzy Multi-objective Bilevel Decision Making by an Approximation Kth-Best Approach.
J. Multiple Valued Log. Soft Comput.
Jie Lu, Guangquan Zhang, Tharam S. Dillon
2008 — ch.
Fuzzy Set Techniques in E-Service Applications.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
Jie Lu, Da Ruan, Guangquan Zhang
2008 J jnl
Fuzzy bilevel Programming: Multi-Objective and Multi-Follower with Shared Variables.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Guangquan Zhang, Jie Lu, Ya Gao
2008 J jnl
Intelligent multi-criteria fuzzy group decision-making for situation assessments.
Soft Comput.
Jie Lu, Guangquan Zhang, Da Ruan
2008 — conf
Semantic Web for E-Government Service Delivery Integration.
ITNG
Farzad Sanati, Jie Lu
2008 J jnl
Support vector machine-based multi-source multi-attribute information integration for situation assessment.
Expert Syst. Appl.
Jie Lu, Xiaowei Yang, Guangquan Zhang
2008 J jnl
Team Situation Awareness using Web-Based Fuzzy Group Decision Support Systems.
Int. J. Comput. Intell. Syst.
Jie Lu, Guangquan Zhang, Fengjie Wu
2008 Misc conf
m-Government: A framework of mobile-based emergency response systems.
ISKE
Khaled Amailef, Jie Lu
2007 B conf
A Constrained Clustering Approach to Duplicate Detection Among Relational Data.
PAKDD
Chao Wang, Jie Lu, Guangquan Zhang
2007 — conf
A Two-level Information Filtering Model in Generating Warning Information.
MCDM
Jun Ma, Jie Lu, Guangquan Zhang
2007 J jnl
An
Soft Comput.
Jie Lu, Da Ruan, Fengjie Wu, Guangquan Zhang
2007 — conf
An Exploratory Cognitive Business Intelligence System.
Web Intelligence
Li Niu, Jie Lu, Eng Chew, Guangquan Zhang
2007 J jnl
An Extended Branch and Bound Algorithm for bilevel Multi-Follower Decision Making in a Referential-Uncooperative Situation.
Int. J. Inf. Technol. Decis. Mak.
Jie Lu, Chenggen Shi, Guangquan Zhang, Da Ruan
2007 B conf
Creating and Managing Ontology Data on the Web: A Semantic Wiki Approach.
WISE
Chao Wang, Jie Lu, Guangquan Zhang, Xianyi Zeng
2007 J jnl
Decentralized multi-objective bilevel decision making with fuzzy demands.
Knowl. Based Syst.
Guangquan Zhang, Jie Lu, Tharam S. Dillon
2007 — ch.
E-Service Cost Benefit Evaluation and Analysis.
E-Service Intelligence
Jie Lu, Chenggang Bai, Guangquan Zhang
2007 — ch.
E-Service Intelligence: An Introduction.
E-Service Intelligence
Jie Lu, Da Ruan, Guangquan Zhang
2007 — book
E-Service Intelligence: Methodologies, Technologies and Applications
Jie Lu, Guangquan Zhang, Da Ruan
2007 J jnl
Editorial: A special issue on e-service intelligence.
Int. J. Intell. Syst.
Jie Lu, Da Ruan, Guangquan Zhang, Hans-Jürgen Zimmermann
2007 — conf
Enriching Executives' Situation Awareness and Mental Models - A Conceptual ESS Framework.
ICEIS (2)
Li Niu, Jie Lu, Guangquan Zhang
2007 — conf
Generation and Matching of Ontology Data for the Semantic Web in a Peer-to-Peer Framework.
APWeb/WAIM
Chao Wang, Jie Lu, Guangquan Zhang
2007 J jnl
Intelligent e-government services with personalized recommendation techniques.
Int. J. Intell. Syst.
Xuetao Guo, Jie Lu
2007 J jnl
Intelligent knowledge engineering systems.
Knowl. Based Syst.
Jie Lu, Da Ruan
2007 J jnl
Mining key information of web pages: A method and its application.
Expert Syst. Appl.
Chao Wang, Jie Lu, Guangquan Zhang
2007 J jnl
Model and approach of fuzzy bilevel decision making for logistics planning problem.
J. Enterp. Inf. Manag.
Guangquan Zhang, Jie Lu
2007 J jnl
Model and extended Kuhn-Tucker approach for bilevel multi-follower decision making in a referential-uncooperative situation.
J. Glob. Optim.
Jie Lu, Chenggen Shi, Guangquan Zhang, Tharam S. Dillon
2007 B conf
Models and Algorithm for Fuzzy Multi-objective Multi-follower Linear Bilevel Programming.
FUZZ-IEEE
Guangquan Zhang, Jie Lu, Tharam S. Dillon
2007 — book
Multi-Objective Group Decision Making - Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM)
Jie Lu, Guangquan Zhang, Da Ruan, Fengjie Wu
2007 J jnl
On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems.
J. Intell. Fuzzy Syst.
Jie Lu, Fengjie Wu, Guangquan Zhang
2007 J jnl
One-and-only item recommendation with fuzzy logic techniques.
Inf. Sci.
Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhang
2007 — conf
Skew-Tree Based Multistage Fuzzy Controller for Nonlinear Systems.
EUSFLAT Conf. (2)
Abbas Khosravi, Jie Lu, Xianyi Zeng, Roohollah Barzamini
2007 B conf
The Development of A Fuzzy Multi-Objective Group Decision Support System.
FUZZ-IEEE
Fengjie Wu, Jie Lu, Guangquan Zhang, Da Ruan
2007 J jnl
The Kth-best approach for linear bilevel multifollower programming with partial shared variables among followers.
Appl. Math. Comput.
Chenggen Shi, Hong Zhou, Jie Lu, Guangquan Zhang, Zhongwei Zhang
2006 C conf
A Fast Data Preprocessing Procedure for Support Vector Regression.
IDEAL
Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang
2006 — conf
A Novel Fuzzy Attitude Based Bidding Strategy for Multi-attribute Auction.
IAT Workshops
Madhu Lata Goyal, Jie Lu, Guangquan Zhang
2006 J jnl
A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters.
Appl. Math. Comput.
Fengjie Wu, Jie Lu, Guangquan Zhang
2006 J jnl
An extended branch and bound algorithm for linear bilevel programming.
Appl. Math. Comput.
Chenggen Shi, Jie Lu, Guangquan Zhang, Hong Zhou
2006 — conf
Customer Online Shopping Behaviours Analysis Using Bayesian Networks.
Australian Conference on Artificial Intelligence
Zi Lu, Jie Lu, Chenggang Bai, Guangquan Zhang
2006 — conf
Integration of Ontology Data through Learning Instance Matching.
Web Intelligence
Chao Wang, Jie Lu, Guangquan Zhang
2006 J jnl
On bilevel multi-follower decision making: General framework and solutions.
Inf. Sci.
Jie Lu, Chenggen Shi, Guangquan Zhang
2006 — conf
Rule sets based bilevel decision model.
ACSC
Zheng Zheng, Guangquan Zhang, Qing He, Jie Lu, Zhongzhi Shi
2005 — conf
A Fuzzy Relational Approach to Event Recommendation.
IICAI
Chris Cornelis, Xuetao Guo, Jie Lu, Guanquang Zhang
2005 — conf
A Semantic Classification Approach for Online Product Reviews.
Web Intelligence
Chao Wang, Jie Lu, Guangquan Zhang
2005 — conf
A decision support system prototype for fuzzy multiple objective optimization.
EUSFLAT Conf.
Fengjie Wu, Jie Lu, Guangquan Zhang
2005 J jnl
An extended Kth-best approach for linear bilevel programming.
Appl. Math. Comput.
Chenggen Shi, Jie Lu, Guangquan Zhang
2005 B conf
An extended Kuhn-Tucker approach for linear bilevel multifollower programming with partial shared variables among followers.
SMC
Chenggen Shi, Jie Lu, Guangquan Zhang, Hong Zhou
2005 J jnl
An extended Kuhn-Tucker approach for linear bilevel programming.
Appl. Math. Comput.
Chenggen Shi, Jie Lu, Guangquan Zhang
2005 — conf
Development and Implementation on a Fuzzy Multiple Objective Decision Support System.
KES (1)
Fengjie Wu, Jie Lu, Guangquan Zhang
2005 C conf
Multi-follower linear bilevel programming: model and Kuhn-Tucker approach.
IADIS AC
Jie Lu, Chenggen Shi, Guangquan Zhang, Da Ruan
2005 — conf
Negotiating Multi-Issue e-Market Auction through Fuzzy Attitudes.
CIMCA/IAWTIC
Madhu Lata Goyal, Jie Lu, Guangquan Zhang
2005 J jnl
On the definition of linear bilevel programming solution.
Appl. Math. Comput.
Chenggen Shi, Guangquan Zhang, Jie Lu
2005 — ch.
Personalized Multi-Stage Decision Support in Reverse Logistics Management.
Intelligent Data Mining
Jie Lu, Guangquan Zhang
2005 — conf
Recommending Trade Exhibitions by Integrating Semantic Information with Collaborative Filtering.
Web Intelligence
Xuetao Guo, Jie Lu
2005 J jnl
The
J. Glob. Optim.
Chenggen Shi, Guangquan Zhang, Jie Lu
2005 J jnl
The Definition of Optimal Solution and an Extended Kuhn-Tucker Approach for Fuzzy Linear Bilevel Programming.
IEEE Intell. Informatics Bull.
Guangquan Zhang, Jie Lu
2005 J jnl
Web-based Multi-Criteria Group Decision Support System with Linguistic Term Processing Function.
IEEE Intell. Informatics Bull.
Jie Lu, Guangquan Zhang, Fengjie Wu
2004 — conf
A Decision Support System for Multiple Objective Linear Programming with Fuzzy Parameters.
EEE
Fengjie Wu, Jie Lu, Guangquan Zhang
2004 — conf
A Text Mining Model by Using Weighting Technology.
AMCIS
Chenggen Shi, Jie Lu
2004 — conf
A recommender system by two-level collaborative filtering.
IASTED Conf. on Software Engineering and Applications
Xuetao Guo, Jie Lu, Guangquan Zhang
2004 J jnl
Development, Distribution and Evaluation of Online Tourism Services in China.
Electron. Commer. Res.
Jie Lu, Zi Lu
2003 J jnl
A Model for Evaluating E-Commerce Based on Cost/Benefit and Customer Satisfaction.
Inf. Syst. Frontiers
Jie Lu
2003 Misc conf
Choosing LSI Dimensions by Document Linear Association Analysis.
IKE
Chenggen Shi, Jie Lu
2003 J jnl
Formulation of fuzzy linear programming problems as four-objective constrained optimization problems.
Appl. Math. Comput.
Guangquan Zhang, Yonghong Wu, M. Remias, Jie Lu
2001 — conf
A Prototype of Multi-Objective Group Decision Support System with a Group AggregationMethod base.
ACIS
Jie Lu, Mohammed Quaddus