Jie Lu

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 268

Top Venues

CoRR

FUZZ-IEEE

IEEE Trans. Fuzzy Syst.

IJCNN

Publications

Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang
Enhancing Vision-Language Models Incorporating TSK Fuzzy System for Domain Adaptation. FUZZ (2024)
Guangzhi Ma, Jie Lu, Guangquan Zhang
Multisource Domain Adaptation With Interval-Valued Target Data via Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms. IEEE Trans. Cybern. 54 (2) (2024)
Feng Gu, Jie Lu, Zhen Fang, Kun Wang, Guangquan Zhang
A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data. CoRR (2024)
Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
Layer-diverse Negative Sampling for Graph Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Haotian Xu, Junyu Xuan, Guangquan Zhang, Jie Lu
Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint. Neurocomputing 589 (2024)
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
Domain Adaptation With Interval-Valued Observations: Theory and Algorithms. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Wei Duan, Jie Lu, Junyu Xuan
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning. CoRR (2024)
Wei Duan, Jie Lu, Junyu Xuan
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning. CoRR (2024)
Jie Lu, Guangzhi Ma, Guangquan Zhang
Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review. IEEE Trans. Fuzzy Syst. 32 (7) (2024)
Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang
Source-Free Unsupervised Domain Adaptation: Current research and future directions. Neurocomputing 564 (2024)
Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. CoRR (2024)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multidomain Adaptation With Sample and Source Distillation. IEEE Trans. Cybern. 54 (4) (2024)
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. IEEE Trans. Cybern. 54 (2) (2024)
Kun Wang, Li Xiong, Anjin Liu, Guangquan Zhang, Jie Lu
A self-adaptive ensemble for user interest drift learning. Neurocomputing 577 (2024)
Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu
Responsible AI: Portraits with Intelligent Bibliometrics. CoRR (2024)
Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang
Unsupervised Domain Adaptation Enhanced by Fuzzy Prompt Learning. IEEE Trans. Fuzzy Syst. 32 (7) (2024)
Mohammad Siami, Mohsen Naderpour, Fahimeh Ramezani, Jie Lu
Risk Assessment Through Big Data: An Autonomous Fuzzy Decision Support System. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
En Yu, Jie Lu, Bin Zhang, Guangquan Zhang
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. AAAI (2024)
Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu
On the Learnability of Out-of-distribution Detection. CoRR (2024)
Zhen Fang, Jie Lu, Guangquan Zhang
An Extremely Simple Algorithm for Source Domain Reconstruction. IEEE Trans. Cybern. 54 (3) (2024)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multi-source domain adaptation handling inaccurate label spaces. Neurocomputing 594 (2024)
Ruxia Liang, Qian Zhang, Jianqiang Wang, Jie Lu
A Hierarchical Attention Network for Cross-Domain Group Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Zhaoqing Liu, Guangquan Zhang, Jie Lu
Semi-supervised heterogeneous domain adaptation for few-sample credit risk classification. Neurocomputing 596 (2024)
Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan
Layer-diverse Negative Sampling for Graph Neural Networks. CoRR (2024)
Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction. CoRR (2024)
Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation. J. Assoc. Inf. Sci. Technol. 74 (7) (2023)
Guangzhi Ma, Jie Lu, Guangquan Zhang
Interval-Valued Observations-Based Multi-Source Domain Adaptation Using Fuzzy Neural Networks. FUZZ (2023)
Yue Yang, Kairui Guo, Zhen Fang, Hua Lin, Mark Grosser, Jie Lu
Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification. HIS (2023)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang, Li Xiong
Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift. IEEE Trans. Cybern. 53 (4) (2023)
Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang
Detecting group concept drift from multiple data streams. Pattern Recognit. 134 (2023)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. AI (1) (2023)
Mengjia Wu, Yi Zhang, Hua Lin, Mark Grosser, Guangquan Zhang, Jie Lu
BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining. HIS (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multi-Source Domain Adaptation with Incomplete Source Label Spaces. KES (2023)
Ran Wang, Hua Zuo, Zhen Fang, Jie Lu
Multiple Teacher Model for Continual Test-Time Domain Adaptation. AI (1) (2023)
Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Shanshan Ye, Jie Lu
Sequence Unlearning for Sequential Recommender Systems. AI (1) (2023)
Qian Zhang, Wenhui Liao, Guangquan Zhang, Bo Yuan, Jie Lu
A Deep Dual Adversarial Network for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Wenhui Liao, Qian Zhang, Bo Yuan, Guangquan Zhang, Jie Lu
Heterogeneous Multidomain Recommender System Through Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
Learning Data Streams With Changing Distributions and Temporal Dependency. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Suyue Han, Bin Liu, Xinyue Fan, Tingting Feng, JingJing Yang, Zhongli Zhou, Hao Gong, Jie Lu
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. 167 (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Domain Adaptation for Image Segmentation with Category-Guide Classifier. ISKE (2023)
Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu
Improving proximal policy optimization with alpha divergence. Neurocomputing 534 (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks. IEEE Trans. Fuzzy Syst. 31 (12) (2023)
Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu
One-step Domain Adaptation Approach with Partial Label. IJCNN (2023)
Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang
Meta OOD Learning For Continuously Adaptive OOD Detection. ICCV (2023)
Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang
Meta OOD Learning for Continuously Adaptive OOD Detection. CoRR (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data. FUZZ (2023)
Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang
Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Ming Zhou, Jie Lu, Yiliao Song, Guangquan Zhang
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Zelia Soo, Hua Lin, Yue Yang, Mark Grosser, Yi Zhang, Jie Lu
Deep Neural Network-Empowered Polygenic Disease Prediction on Cardiovascular Diseases. ISKE (2023)
Jie Lu, João Gama, Xin Yao, Leandro L. Minku
Guest Editorial: Special Issue on Stream Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
En Yu, Yiliao Song, Guangquan Zhang, Jie Lu
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. Neurocomputing 496 (2022)
Guanjin Wang, Kup-Sze Choi, Jeremy Yuen-Chun Teoh, Jie Lu
Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines. IEEE Trans. Cybern. 52 (5) (2022)
Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang
A Drift Region-Based Data Sample Filtering Method. IEEE Trans. Cybern. 52 (9) (2022)
Bin Wang, Jie Lu, Tianrui Li, Zheng Yan, Guangquan Zhang
A quantile fusion methodology for deep forecasting. Neurocomputing 483 (2022)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. AAAI (2022)
Xiaoya Che, Hua Zuo, Jie Lu, Degang Chen
Fuzzy Multioutput Transfer Learning for Regression. IEEE Trans. Fuzzy Syst. 30 (7) (2022)
Jie Lu
Machine Learning for Decision Support in Complex Environments. IoTBDS (2022)
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
Learning From a Complementary-Label Source Domain: Theory and Algorithms. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang, Li Hou
Transfer learning based on sparse Gaussian process for regression. Inf. Sci. 605 (2022)
Hang Yu, Jie Lu, Guangquan Zhang
Continuous Support Vector Regression for Nonstationary Streaming Data. IEEE Trans. Cybern. 52 (5) (2022)
Yi Zhang, Mengjia Wu, Jie Lu
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation. CoRR (2022)
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms. CoRR (2022)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Multi-Source Contribution Learning for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Hang Yu, Jie Lu, Guangquan Zhang
MORStreaming: A Multioutput Regression System for Streaming Data. IEEE Trans. Syst. Man Cybern. Syst. 52 (8) (2022)
Di Zhang, Zhongli Zhou, Suyue Han, Hao Gong, Tianyi Zou, Jie Lu
Deep Metallogenic prediction model construction of the Xiongcun no. II orebody based on the DNN algorithm. Multim. Tools Appl. 81 (23) (2022)
Hang Yu, Jie Lu, Guangquan Zhang
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. IEEE Trans. Fuzzy Syst. 30 (2) (2022)
Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang
Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. Inf. Sci. 608 (2022)
Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. IJCNN (2022)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. CoRR (2022)
Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang
A Segment-Based Drift Adaptation Method for Data Streams. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes. CoRR (2022)
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. CoRR (2022)
Hang Yu, Jie Lu, Guangquan Zhang
An Online Robust Support Vector Regression for Data Streams. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Jie Lu
Machine Learning for Decision Support in Complex Environments. COMPLEXIS (2022)
Zhaoqing Liu, Anjin Liu, Guangquan Zhang, Jie Lu
An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. AI (2022)
Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. Neurocomputing 491 (2022)
Guanjin Wang, Ta Zhou, Kup-Sze Choi, Jie Lu
A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data. IEEE Trans. Cybern. 52 (5) (2022)
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
Is Out-of-Distribution Detection Learnable? NeurIPS (2022)
Nur Atiqah Rochin Demong, Jie Lu, Farookh Khadeer Hussain
An Adaptive Personalized Property Investment Risk Analysis Method Based on Data-Driven Approach. Int. J. Inf. Technol. Decis. Mak. 20 (2) (2021)
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
Learning Bounds for Open-Set Learning. ICML (2021)
Mengjia Wu, Yi Zhang, Mark Grosser, Steven Tipper, Deon Venter, Hua Lin, Jie Lu
Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics. Frontiers Res. Metrics Anal. 6 (2021)
Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI (2021)
Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data. NeurIPS (2021)
Yi Zhang, Mengjia Wu, George Yijun Tian, Guangquan Zhang, Jie Lu
Ethics and privacy of artificial intelligence: Understandings from bibliometrics. Knowl. Based Syst. 222 (2021)
Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang
Automatic Learning to Detect Concept Drift. CoRR (2021)
Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang
Domain-specific meta-embedding with latent semantic structures. Inf. Sci. 555 (2021)
Anjin Liu, Jie Lu, Guangquan Zhang
Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Guanjin Wang, Kok Wai Wong, Jie Lu
AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification. IEEE Trans. Syst. Man Cybern. Syst. 51 (12) (2021)
Wei Duan, Junyu Xuan, Jie Lu
Negative Samples-enhanced Graph Convolutional Neural Networks. ISKE (2021)
Anjin Liu, Jie Lu, Guangquan Zhang
Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations. IEEE Trans. Fuzzy Syst. 29 (11) (2021)
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. CoRR (2021)
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
Learning Bounds for Open-Set Learning. CoRR (2021)
Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jie Lu