| 2026 | AAAI | Autonomous Concept Drift Threshold Determination. | Pengqian Lu, Jie Lu, Anjin Liu, En Yu, Guangquan Zhang |
| 2026 | AAAI | Discovering Mixture Skills for Unsupervised Reinforcement Learning. | Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu |
| 2026 | AAAI | PARS: Partial-Label-Learning-inspired Recommender Systems. | Shanshan Ye, Kezhi Lu, Guangquan Zhang, Jie Lu |
| 2026 | AAAI | Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning. | En Yu, Jie Lu, Kun Wang, Xiaoyu Yang, Guangquan Zhang |
| 2026 | ACL | TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG. | Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang |
| 2026 | ISKE | From Gene-Disease Discovery to Personalised Recommendations: AI for Translational Genomics. | Kairui Guo, Mengjia Wu, Yi Zhang, Guangquan Zhang, Hua Lin, Mark Grosser, Jie Lu |
| 2026 | ISKE | Open-Set Domain Adaptation with Pseudo-Labels Enhanced by Multimodal Model. | Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang |
| 2026 | ISKE | FW-Aug: Fourier-Wavelet Input Augmentation for Transformer-Based Time Series Forecasting. | Xiaoqun Wei, Mengjia Wu, Guangquan Zhang, Jie Lu, Yi Zhang |
| 2026 | ISKE | Genome-Guided Multimodal Learning for Ischaemic Stroke Risk Prediction. | Yue Yang, Kairui Guo, Zhen Fang, Hua Lin, Mark Grosser, Guangquan Zhang, Jie Lu |
| 2026 | ISKE | Fuzzy-Guided Agentic Memory for LLM-Based Recommendation. | Di Zhang, Jie Lu, Guangquan Zhang |
| 2026 | KDD | Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models. | Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang |
| 2026 | WWW | Generalized Incremental Learning under Concept Drift across Evolving Data Streams. | En Yu, Jie Lu, Guangquan Zhang |
| 2026 | SIGIR | Partial Label Learning-Inspired Denoising Implicit Feedback for Recommendation. | Huilin Chen, Jie Lu, Kezhi Lu, Zhen Fang, Guangquan Zhang |
| 2025 | AAAI | Early Concept Drift Detection via Prediction Uncertainty. | Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang |
| 2025 | ICCCI | Privacy-Aware Knowledge Transfer for Cross-Domain Recommender System. | Pham Minh Thu Do, Jie Lu, Qian Zhang, Guangquan Zhang |
| 2025 | ICCV | On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering. | Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang |
| 2025 | ICLR | Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer. | Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang |
| 2025 | KDD | Distributional Prototype Learning for Out-of-distribution Detection. | Bo Peng, Jie Lu, Yonggang Zhang, Guangquan Zhang, Zhen Fang |
| 2025 | RecSys | Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation. | Guohang Zeng, Jie Lu, Guangquan Zhang |
| 2025 | WWW | Towards Safe Machine Unlearning: A Paradigm that Mitigates Performance Degradation. | Shanshan Ye, Jie Lu, Guangquan Zhang |
| 2025 | WISE | Deep Cross Networks for Intelligent Risk Prediction of Prostate Cancer. | Hanshi Xu, Guangquan Zhang, Hua Lin, Mark Grosser, Jie Lu |
| 2024 | AAAI | Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. | En Yu, Jie Lu, Bin Zhang, Guangquan Zhang |
| 2024 | ICML | Knowledge Distillation with Auxiliary Variable. | Bo Peng, Zhen Fang, Guangquan Zhang, Jie Lu |
| 2024 | ICML | Adaptive Stabilization Based on Machine Learning for Column Generation. | Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew C. Eberhard, Guangquan Zhang |
| 2024 | IJCAI | A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. | Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan |
| 2024 | IJCNN | CLIP-Enhanced Unsupervised Domain Adaptation with Consistency Regularization. | Kuo Shi, Jie Lu, Zhen Fang, Guangquan Zhang |
| 2023 | ICCV | Meta OOD Learning For Continuously Adaptive OOD Detection. | Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang |
| 2023 | IJCNN | One-step Domain Adaptation Approach with Partial Label. | Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu |
| 2023 | ISKE | Domain Adaptation for Image Segmentation with Category-Guide Classifier. | Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang |
| 2023 | KES | meta-GRS: A Graph Neural Network for Cross-Domain Recommender System via Meta-Learning. | Pham Minh Thu Do, Qian Zhang, Guangquan Zhang, Jie Lu |
| 2023 | KES | Multi-Source Domain Adaptation with Incomplete Source Label Spaces. | Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang |
| 2023 | KES | TCR-M: A Topic Change Recognition-based Method for Data Stream Learning. | Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang |
| 2022 | IJCNN | Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. | Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang |
| 2021 | AAAI | How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? | Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang |
| 2021 | ICML | Learning Bounds for Open-Set Learning. | Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang |
| 2021 | IJCNN | An Efficient Bayesian Neural Network for Multiple Data Streams. | Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu |
| 2020 | ICML | Learning Deep Kernels for Non-Parametric Two-Sample Tests. | Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland |
| 2020 | IJCAI | Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. | Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu |
| 2020 | IJCNN | Cross-Domain Recommendation with Multiple Sources. | Qian Zhang, Jie Lu, Guangquan Zhang |
| 2020 | IJCNN | Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. | Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang |
| 2020 | IJCNN | Fast Switch Nave Bayes to Avoid Redundant Update for Concept Drift Learning. | Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu |
| 2020 | IJCNN | Multiple-source Domain Adaptation in Rule-based Neural Network. | Hua Zuo, Jie Lu, Guangquan Zhang |
| 2019 | ICDM | One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. | Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang |
| 2019 | IJCNN | Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. | Dennis Chow, Anjin Liu, Guangquan Zhang, Jie Lu |
| 2019 | IJCNN | Unsupervised Domain Adaptation with Sphere Retracting Transformation. | Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang |
| 2019 | IJCNN | RsyGAN: Generative Adversarial Network for Recommender Systems. | Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang |
| 2019 | IJCNN | A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. | Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang |
| 2019 | IJCNN | Cross-domain Recommendation with Semantic Correlation in Tagging Systems. | Qian Zhang, Peng Hao, Jie Lu, Guangquan Zhang |
| 2019 | IFSA | Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models. | Hua Zuo, Guangquan Zhang, Jie Lu |
| 2019 | ISKE | Drift Adaptation via Joint Distribution Alignment. | Bin Zhang, Jie Lu, Guangquan Zhang |
| 2019 | ISKE | A Recommender System for Cold-start Items: A Case Study in the Real Estate Industry. | Qian Zhang, Di Zhang, Jie Lu, Guangquan Zhang, Wei Qu, Mark Cohen |
| 2019 | KDD | Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. | Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang |
| 2019 | WWW | Enhancing Fashion Recommendation with Visual Compatibility Relationship. | Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang |
| 2018 | AAAI | Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. | Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu |
| 2018 | ICONIP | Deep Multi-task Learning for Air Quality Prediction. | Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li |
| 2018 | ICONIP | Cross-domain Recommendation with Probabilistic Knowledge Transfer. | Qian Zhang, Dianshuang Wu, Jie Lu, Guangquan Zhang |
| 2018 | ICONIP | Fuzzy Domain Adaptation Using Unlabeled Target Data. | Hua Zuo, Guangquan Zhang, Jie Lu |
| 2018 | IJCNN | Explore Uncertainty in Residual Networks for Crowds Flow Prediction. | Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li |
| 2018 | IJCNN | A Framework of Transferring Structures Across Large-scale Information Networks. | Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong |
| 2018 | PAKDD | An Incremental Dual nu-Support Vector Regression Algorithm. | Hang Yu, Jie Lu, Guangquan Zhang |
| 2018 | WISE | Cross-domain Recommendation with Consistent Knowledge Transfer by Subspace Alignment. | Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang |
| 2017 | IJCAI | Regional Concept Drift Detection and Density Synchronized Drift Adaptation. | Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu |
| 2017 | IJCNN | An output-based knowledge transfer approach and its application in bladder cancer prediction. | Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu |
| 2017 | IJCNN | First-order causal process for causal modelling with instantaneous and cross-temporal relations. | Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu |
| 2017 | ISKE | Concept drift region identification via competence-based discrepancy distribution estimation. | Fan Dong, Jie Lu, Kan Li, Guangquan Zhang |
| 2017 | ISKE | Tri-level multi-follower decision-making in a partial-cooperative situation. | Jialin Han, Shuping Wan, Jie Lu, Guangquan Zhang |
| 2017 | ISKE | Fast concept drift detection using singular vector decomposition. | Dan Shang, Guangquan Zhang, Jie Lu |
| 2017 | ISKE | Learning a fuzzy decision tree from uncertain data. | Hang Yu, Jie Lu, Guangquan Zhang |
| 2016 | ICECCS | Pareto Optimal Scheduling for Synchronous Data Flow Graphs on Heterogeneous Multiprocessor. | Yu-Lei Gu, Xue-Yang Zhu, Guangquan Zhang, Yifan He |
| 2016 | IJCNN | Concept drift detection based on equal density estimation. | Feng Gu, Guangquan Zhang, Jie Lu, Chin-Teng Lin |
| 2016 | IJCNN | Multi-instance graphical transfer clustering for traffic data learning. | Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong |
| 2015 | EUSFLAT | Feature Spaces-based Transfer Learning. | Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu |
| 2015 | FM | Static Optimal Scheduling for Synchronous Data Flow Graphs with Model Checking. | Xueyang Zhu, Rongjie Yan, Yu-Lei Gu, Jian Zhang, Wenhui Zhang, Guangquan Zhang |
| 2015 | ICDM | Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. | Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo |
| 2015 | ICONIP | SEIR Immune Strategy for Instance Weighted Naive Bayes Classification. | Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong |
| 2015 | ISKE | A Compromise-Based Particle Swarm Optimization Algorithm for Solving Bi-Level Programming Problems with Fuzzy Parameters. | Jialin Han, Yaoguang Hu, Guangquan Zhang, Jie Lu |
| 2015 | ISKE | Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning. | Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong |
| 2015 | ISKE | Semantic-Based Technology Trend Analysis. | Chao Yang, Donghua Zhu, Guangquan Zhang |
| 2015 | ISKE | A Framework of Hybrid Recommender System for Personalized Clinical Prescription. | Qian Zhang, Guangquan Zhang, Jie Lu, Dianshuang Wu |
| 2015 | ISKE | Transfer Learning in Hierarchical Feature Spaces. | Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu, Xianli Meng |
| 2015 | SMC | A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams. | Mahardhika Pratama, Jie Lu, Guangquan Zhang |
| 2015 | SETTA | Pareto Optimal Scheduling of Synchronous Data Flow Graphs via Parallel Methods. | Yu-Lei Gu, Xueyang Zhu, Guangquan Zhang |
| 2014 | ICONIP | Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making. | Jialin Han, Guangquan Zhang, Jie Lu, Yaoguang Hu, Shuyuan Ma |
| 2014 | ICONIP | Concept Drift Detection Based on Anomaly Analysis. | Anjin Liu, Guangquan Zhang, Jie Lu |
| 2014 | IJCNN | Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. | Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo |
| 2013 | CCGRID | Optimal Cloud Resource Auto-Scaling for Web Applications. | Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long |
| 2013 | EUSFLAT | A fuzzy tri-level decision making algorithm and its application in supply chain. | Zhen Zhang, Guangquan Zhang, Jie Lu, Chonghui Guo |
| 2013 | IFSA | A hybrid model for migrating customer segmentation with missing attributes. | Jun Ma, H. Lin, Jie Lu, Guangquan Zhang |
| 2013 | IFSA | A fuzzy tree similarity based recommendation approach for telecom products. | Dianshuang Wu, Guangquan Zhang, Jie Lu |
| 2013 | SMC | A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. | Hongshu Chen, Guangquan Zhang, Jie Lu |
| 2013 | SMC | A Fuzzy Tree Similarity Measure and Its Application in Telecom Product Recommendation. | Dianshuang Wu, Guangquan Zhang, Jie Lu |
| 2012 | IPMU | Risk Prediction Framework and Model for Bank External Fund Attrition. | Hua Lin, Guangquan Zhang |
| 2011 | APSCC | Mismatch Detection of Asynchronous Web Services with Timed Constraints. | Guangquan Zhang, Huijuan Shi, Mei Rong |
| 2011 | DASC | An Innovative Self-Adaptive Configuration Optimization System in Cloud Computing. | Jing Jiang, Jie Lu, Guangquan Zhang |
| 2011 | SERVICES | Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop. | Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long |
| 2010 | AINA | Delta-equalities of Complex Fuzzy Relations. | Guangquan Zhang, Tharam S. Dillon, Kai-Yuan Cai, Jun Ma, Jie Lu |
| 2010 | ICAISC | A Hybrid Approach for Fault Tree Analysis Combining Probabilistic Method with Fuzzy Numbers. | Julwan Hendry Purba, Jie Lu, Da Ruan, Guangquan Zhang |
| 2010 | ICCBR | Detecting Change via Competence Model. | Ning Lu, Guangquan Zhang, Jie Lu |
| 2010 | ICMLC | A new hybrid evolutionary algorithm with quasi-simplex technique. | Guo-Li Zhang, Haiyan Lu, Guangquan Zhang |
| 2010 | ISDA | A fuzzy matching based recommendation approach for mobile products/services. | Dianshuang Wu, Jie Lu, Guangquan Zhang, Hua Lin |
| 2010 | ISDA | Fault diagnosis of transformer using association rule mining and knowledge base. | Tiefeng Zhang, Jie Lu, Guangquan Zhang, Qian Ding |
| 2010 | ISKE | Adaptive inference-based learning and rule generation algorithms in Fuzzy Neural Network for failure prediction. | Vahid Behbood, Jie Lu, Guangquan Zhang |
| 2010 | ISKE | A hybrid recommendation approach for hierarchical items. | Dianshuang Wu, Jie Lu, Guangquan Zhang |
| 2010 | RCIS | A Knowledge-based Efficiency Assessment System for Distribution Network using Data Envelopment Analysis. | Tiefeng Zhang, Lisong Liang, Jie Lu, Hua Lin, Guangquan Zhang |
| 2009 | EUSFLAT | Impute Missing Assessments by Opinion Clustering in Multi-Criteria Group Decision Making Problems. | Jun Ma, Guangquan Zhang, Jie Lu, Da Ruan |
| 2009 | ICONIP | A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains. | Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee |
| 2009 | ICONIP | Maintaining Footprint-Based Retrieval for Case Deletion. | Ning Lu, Jie Lu, Guangquan Zhang |
| 2009 | ICPADS | A Fault-Free Unicast Algorithm in Twisted Cubes with the Restricted Faulty Node Set. | Jianxi Fan, Shukui Zhang, Xiaohua Jia, Guangquan Zhang |
| 2009 | IIWAS | Using attribute and attitude assessment for bidding in automated auctions. | Madhu Lata Goyal, Guangquan Zhang |
| 2009 | KES | An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems. | Ning Lu, Jie Lu, Guangquan Zhang |
| 2009 | KES | A Fuzzy Bilevel Model and a PSO-Based Algorithm for Day-Ahead Electricity Market Strategy Making. | Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu |
| 2009 | SMC | A Bilevel Optimization Model and a PSO-based Algorithm in Day-ahead Electricity Markets. | Guangquan Zhang, Jie Lu, Ya Gao, Guoli Zhang |
| 2009 | SMC | A Hybrid Knowledge-based Prediction Method for Avian Influenza Early Warning. | Guangquan Zhang, Jie Zhang, Jie Lu |
| 2009 | SAC | A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers. | Ya Gao, Guangquan Zhang, Jie Lu |
| 2008 | IIWAS | An ontology data matching method for web information integration. | Chao Wang, Jie Lu, Guangquan Zhang |
| 2008 | ISKE | Team Situation Awareness measurement using group aggregation and implication operators. | Jun Ma, Guangquan Zhang |
| 2008 | ISKE | An intelligent evaluation system for tourism websites in Shijiazhuang city. | Zi Lu, Ruiling Han, Peipei Zhang, Yiming Ren, Guangquan Zhang |
| 2007 | PAKDD | A Constrained Clustering Approach to Duplicate Detection Among Relational Data. | Chao Wang, Jie Lu, Guangquan Zhang |
| 2007 | WISE | Creating and Managing Ontology Data on the Web: A Semantic Wiki Approach. | Chao Wang, Jie Lu, Guangquan Zhang, Xianyi Zeng |
| 2007 | TASE | QCTL: A Logic for Reasoning about Inconsistent Concurrent Systems. | Donghuo Chen, Guangquan Zhang, Jinzhao Wu |
| 2006 | IDEAL | A Fast Data Preprocessing Procedure for Support Vector Regression. | Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang |
| 2005 | EUSFLAT | A decision support system prototype for fuzzy multiple objective optimization. | Fengjie Wu, Jie Lu, Guangquan Zhang |
| 2005 | KES | Development and Implementation on a Fuzzy Multiple Objective Decision Support System. | Fengjie Wu, Jie Lu, Guangquan Zhang |
| 2005 | SMC | An extended Kuhn-Tucker approach for linear bilevel multifollower programming with partial shared variables among followers. | Chenggen Shi, Jie Lu, Guangquan Zhang, Hong Zhou |