In-Line Fiber Optic Interferometric Sensors in Single-Mode Fibers. - Tao Zhu; Di Wu 056; Min Liu; De-Wen Duan (Sensors, 2012)

A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution. - Di Wu 056; Mingsheng Shang 001; Guoyin Wang 001; Li Li (ICNSC, 2018)

Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification. - Yi He 007; Di Wu 056; Ege Beyazit; Xiaoduan Sun; Xindong Wu 001 (ICTAI, 2018)

Self-training semi-supervised classification based on density peaks of data. - Di Wu 056; Mingsheng Shang 001; Xin Luo 001; Ji Xu 001; Huyong Yan; Weihui Deng; Guoyin Wang 001 (Neurocomputing, 2018)

A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications. - Di Wu 056; Xin Luo 001; Guoyin Wang 001; Mingsheng Shang 001; Ye Yuan 014; Huyong Yan (IEEE Trans. Ind. Informatics, 2018)

Online Feature Selection with Capricious Streaming Features: A General Framework. - Di Wu 056; Yi He 007; Xin Luo 001; Mingsheng Shang 001; Xindong Wu 001 (IEEE BigData, 2019)

Online Learning from Capricious Data Streams: A Generative Approach. - Yi He 007; Baijun Wu; Di Wu 056; Ege Beyazit; Sheng Chen 008; Xindong Wu 001 (IJCAI, 2019)

A Data-Aware Latent Factor Model for Web Service QoS Prediction. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; Xindong Wu 001 (PAKDD (1), 2019)

On Partial Multi-Task Learning. - Yi He 007; Baijun Wu; Di Wu 056; Xindong Wu 001 (ECAI, 2020)

Adaptive Regularization-Incorporated Latent Factor Analysis. - Xin Luo 001; Ye Yuan 014; Di Wu 056 (ICKG, 2020)

Robust and Accurate Representation Learning for High-dimensional and Sparse Matrices in Recommender Systems. - Di Wu 056; Gang Lu; Zhicheng Xu (ICKG, 2020)

PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis. - Di Wu 056; Long Jin 001; Xin Luo 001 (ICDM, 2020)

A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. - Ye Yuan 014; Xin Luo 001; Mingsheng Shang 001; Di Wu 056 (WWW, 2020)

An Ensemble Latent Factor Model for Highly Accurate Web Service QoS Prediction. - Peng Zhang; Yi He 007; Di Wu 056 (ICBK, 2021)

Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data. - Di Wu 056; Xin Luo 001 (IEEE CAA J. Autom. Sinica, 2021)

Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. - Xin Luo 001; Mengchu Zhou; Shuai Li 002; Di Wu 056; Zhigang Liu 006; Mingsheng Shang 001 (IEEE Trans. Big Data, 2021)

Toward Mining Capricious Data Streams: A Generative Approach. - Yi He 007; Baijun Wu; Di Wu 056; Ege Beyazit; Sheng Chen 008; Xindong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; MengChu Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. - Bo Sun; Di Wu 056; Mingsheng Shang 001; Yi He 007 (DASFAA (2), 2022)

A Robust Latent Factor Analysis Model for Incomplete Data Recovery in Wireless Sensor Networks. - Zhikai Yu; Di Wu 056; Yi He 007 (EDGE, 2022)

Online Sparse Streaming Feature Selection with Uncertainty. - Feilong Chen; Di Wu 056; Jie Yang 052; Yi He 007 (ICNSC, 2022)

OR-AutoRec: An Outlier-Resilient Autoencoder-based Recommendation model. - Yuanpeng Hu; Xianmin Wang; Cheng Liang 003; Jing Li 045; Di Wu 056; Yi He 007 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender System. - Cheng Liang 003; Yi He 007; Teng Huang 001; Di Wu 056 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Quantitative combination load forecasting model based on forecasting error optimization. - Song Deng; Fulin Chen; Di Wu 056; Yi He 007; Hui Ge; Yuan Ge (Comput. Electr. Eng., 2022)

A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data. - Jia Chen; Di Wu 056; Xin Luo 001 (CoRR, 2022)

Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices. - Di Wu 056; Yi He 007; Xin Luo 001 (CoRR, 2022)

A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data. - Di Wu 056; Peng Zhang; Yi He 007; Xin Luo 001 (CoRR, 2022)

An Online Sparse Streaming Feature Selection Algorithm. - Feilong Chen; Di Wu 056; Jie Yang 052; Yi He 007 (CoRR, 2022)

Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction. - Cheng Liang 003; Teng Huang 001; Yi He 007; Song Deng; Di Wu 056; Xin Luo 001 (CoRR, 2022)

A structure-characteristic-aware network embedding model via differential evolution. - Xiaoyu Xu; Di Wu 056; Mingsheng Shang 001 (Expert Syst. Appl., 2022)

DPCL: Contrastive representation learning with differential privacy. - Wenjun Li; Anli Yan; Di Wu 056; Taoyu Zhu; Teng Huang 001; Xuandi Luo; Shaowei Wang (Int. J. Intell. Syst., 2022)

Joint hyperbolic and Euclidean geometry contrastive graph neural networks. - Xiaoyu Xu; Guansong Pang; Di Wu 056; Mingsheng Shang 001 (Inf. Sci., 2022)

A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. - Di Wu 056; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems. - Di Wu 056; Mingsheng Shang 001; Xin Luo 001; Zidong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. - Di Wu 056; Qiang He 001; Xin Luo 001; Mingsheng Shang 001; Yi He 007; Guoyin Wang 001 (IEEE Trans. Serv. Comput., 2022)

A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection. - Di Wu 056; Yi He 007; Xin Luo 001; MengChu Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Online Semi-supervised Learning with Mix-Typed Streaming Features. - Di Wu 056; Shengda Zhuo; Yu Wang 017; Zhong Chen 003; Yi He 007 (AAAI, 2023)

Improved Kinematic Control Scheme with Harmonic Noise Tolerance for Robotic Manipulators. - Naimeng Cang; Di Wu 056; Dongsheng Guo 001; Jinrong Zheng; Shuai Li 002 (ICARM, 2023)

MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. - Cheng Liang 003; Di Wu 056; Yi He 007; Teng Huang 001; Zhong Chen 003; Xin Luo 001 (ECML/PKDD (5), 2023)

A Node-Collaboration-Informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs. - Ying Wang 138; Ye Yuan 013; Di Wu 056 (SMC, 2023)

Online Sparse Streaming Feature Selection via Decision Risk. - Ruiyang Xu; Di Wu 056; Xin Luo 001 (SMC, 2023)

An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition. - Liping Zhang; Di Wu 056; Xin Luo 001 (SMC, 2023)

Online Sparse Streaming Feature Selection Using Adapted Classification. - Ruiyang Xu; Di Wu 056; Xin Luo 001 (CoRR, 2023)

Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision. - Jiangli Duan; Guoyin Wang 001; Xin Hu 008; Deyou Xia; Di Wu 056 (Inf. Process. Manag., 2023)

A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data. - Di Wu 056; Yi He 007; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput., 2023)

A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy Internet. - Song Deng; Yujia Zhai; Di Wu 056; Dong Yue 001; Xiong Fu; Yi He 007 (IEEE Trans. Serv. Comput., 2023)

Hyperparameter Learning for Deep Learning-Based Recommender Systems. - Di Wu 056; Bo Sun; Mingsheng Shang 001 (IEEE Trans. Serv. Comput., 2023)

A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction. - Di Wu 056; Peng Zhang; Yi He 007; Xin Luo 001 (IEEE Trans. Serv. Comput., 2023)

A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack. - Song Deng; Jiantang Zhang; Di Wu 056; Yi He 007; Xiangpeng Xie 001; Xindong Wu 001 (IEEE Trans. Ind. Informatics, 2023)

A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis. - Jia Chen; Renfang Wang; Di Wu 056; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

BCTC-KSM: A blockchain-assisted threshold cryptography for key security management in power IoT data sharing. - Song Deng; Qicong Hu; Di Wu 056; Yi He 007 (Comput. Electr. Eng., 2023)

Counterfactual explanation generation with minimal feature boundary. - Dianlong You; Shina Niu; Siqi Dong; Huigui Yan; Zhen Chen 007; Di Wu 056; Limin Shen; Xindong Wu 001 (Inf. Sci., 2023)

Online Learning From Incomplete and Imbalanced Data Streams. - Dianlong You; Jiawei Xiao; Yang Wang 164; Huigui Yan; Di Wu 056; Zhen Chen 007; Limin Shen; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Local causal structure learning for streaming features. - Dianlong You; Siqi Dong; Shina Niu; Huigui Yan; Zhen Chen 007; Shunfu Jin; Di Wu 056; Xindong Wu 001 (Inf. Sci., 2023)

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction. - Di Wu 056; Wu Sun; Yi He 007; Zhong Chen 003; Xin Luo 001 (AAAI, 2024)

ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features. - Zhong Chen 003; Yi He 007; Di Wu 056; Liudong Zuo; Keren Li; Wenbin Zhang 002; Zhiqiang Deng (IEEE Big Data, 2024)

Adaptive Correlation-Incorporated Latent Feature Analysis for Online Sparse Streaming Feature Selection. - Hao Tian; Yangyi Xia; Jia Wu; Di Wu 056 (IJCRS (2), 2024)

Robust Sparse Online Learning for Data Streams with Streaming Features. - Zhong Chen 003; Yi He 007; Di Wu 056; Huixin Zhan; Victor S. Sheng; Kun Zhang 012 (SDM, 2024)

OSFS-Vague: Online streaming feature selection algorithm based on vague set. - Jie Yang 052; Zhijun Wang; Guoyin Wang 001; Yanmin Liu; Yi He 007; Di Wu 056 (CAAI Trans. Intell. Technol., 2024)

A robust three-way classifier with shadowed granular-balls based on justifiable granularity. - Jie Yang 052; Lingyun Xiaodiao; Guoyin Wang 001; Witold Pedrycz; Shuyin Xia; Qinghua Zhang 001; Di Wu 056 (CoRR, 2024)

Fairness-Aware Streaming Feature Selection with Causal Graphs. - Leizhen Zhang; Lusi Li; Di Wu 056; Sheng Chen 008; Yi He 007 (CoRR, 2024)

End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial. - Fulai Yang; Di Wu 056; Yi He 007; Li Tao; Xin Luo 001 (CoRR, 2024)

ARDST: An Adversarial-Resilient Deep Symbolic Tree for Adversarial Learning. - Shengda Zhuo; Di Wu 056; Xin Hu 008; Yu Wang 017 (Int. J. Intell. Syst., 2024)

Adaptive three-way KNN classifier using density-based granular balls. - Jie Yang 052; Juncheng Kuang; Guoyin Wang 001; Qinghua Zhang 001; Yanmin Liu; Qun Liu 005; Deyou Xia; Shuai Li 019; Xiaoqi Wang; Di Wu 056 (Inf. Sci., 2024)

Attribute reduction for hierarchical classification based on improved fuzzy rough set. - Jie Yang 052; Xiaodan Qin; Guoyin Wang 001; Qinghua Zhang 001; Shuai Li 019; Di Wu 056 (Inf. Sci., 2024)

An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction. - Jie Yang 052; Yapeng Li; Guoyin Wang 001; Zhong Chen 003; Di Wu 056 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Online Learning From Evolving Feature Spaces With Deep Variational Models. - Heng Lian; Di Wu 056; Bo-Jian Hou; Jian Wu 006; Yi He 007 (IEEE Trans. Knowl. Data Eng., 2024)

MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data. - Di Wu 056; Peng Zhang; Yi He 007; Xin Luo 001 (IEEE Trans. Serv. Comput., 2024)

A Chinese power text classification algorithm based on deep active learning. - Song Deng; Qianliang Li; Renjie Dai; Siming Wei; Di Wu 056; Yi He 007; Xindong Wu 001 (Appl. Soft Comput., 2024)

Eraser: Eliminating Performance Regression on Learned Query Optimizer. - Lianggui Weng; Rong Zhu; Di Wu 056; Bolin Ding; Bolong Zheng; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

PilotScope: Steering Databases with Machine Learning Drivers. - Rong Zhu; Lianggui Weng; Wenqing Wei; Di Wu 056; Jiazhen Peng; Yifan Wang 012; Bolin Ding; Defu Lian; Bolong Zheng; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

A Debiasing Autoencoder for Recommender System. - Teng Huang 001; Cheng Liang 003; Di Wu 056; Yi He 007 (IEEE Trans. Consumer Electron., 2024)

A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. - Di Wu 056; Xin Luo 001; Yi He 007; Mengchu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2024)

Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. - Xiaoyu Shi 001; Quanliang Liu; Hong Xie 004; Di Wu 056; Bo Peng; Mingsheng Shang 001; Defu Lian (ACM Trans. Inf. Syst., 2024)

Fuzziness-Based Three-Way Decision With Neighborhood Rough Sets Under the Framework of Shadowed Sets. - Jie Yang 052; Xiaoqi Wang; Guoyin Wang 001; Qinghua Zhang 001; Nenggan Zheng; Di Wu 056 (IEEE Trans. Fuzzy Syst., 2024)

Online Learning for Data Streams With Incomplete Features and Labels. - Dianlong You; Huigui Yan; Jiawei Xiao; Zhen Chen 007; Di Wu 056; Limin Shen; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Full-Duplex Time-Domain Contention for WiFi Networks: Opportunities and Challenges. - Qinglin Zhao; Li Feng 001; MengChu Zhou; Di Wu 056; Xiaofen Wang; Peiyun Zhang (IEEE Wirel. Commun., 2024)

ℓ1, ∞ Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature Spaces. - Zhong Chen 003; Yi He 007; Di Wu 056; Wenbin Zhang 002; Zhiqiang Deng (SDM, 2025)

A differential evolution optimized hybrid XGBoost for accurate carbon emission prediction. - Lingfei Zhang; Gang Lu; Xiaoqing Yan; Peng Xia; Zhong Chen 003; Di Wu 056 (Environ. Model. Softw., 2025)

Disentangle Representation Learning with Excluding Confounding Bias for causal effect estimation. - Dianlong You; Dongyan Wang; Bingxin Liu; Xiaoyi Ge; Di Wu 056; Xindong Wu 001 (Knowl. Based Syst., 2025)

Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery. - Di Wu 056; Zechao Li; Zhikai Yu; Yi He 007; Xin Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data. - Di Wu 056; Yuanpeng Hu; Kechen Liu; Jing Li 045; Xianmin Wang; Song Deng; Nenggan Zheng; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss. - Jinye Yang; Ji Xu 001; Di Wu 056; Jianhang Tang; Shaobo Li 001; Guoyin Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Constructing Three-Way Decision With Fuzzy Granular-Ball Rough Sets Based on Uncertainty Invariance. - Jie Yang 052; Zhuangzhuang Liu; Guoyin Wang 001; Qinghua Zhang 001; Shuyin Xia; Di Wu 056; Yanmin Liu (IEEE Trans. Fuzzy Syst., 2025)

A Highly-Accurate Three-Way Decision-Incorporated Online Sparse Streaming Features Selection Model. - Ruiyang Xu; Di Wu 056; Renfang Wang; Xin Luo 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features. - Shengda Zhuo; Di Wu 056; Yi He 007; Shuqiang Huang; Xindong Wu 001 (CoRR, 2025)

Recursion-and-Fuzziness Reinforced Online Sparse Streaming Feature Selection. - Ruiyang Xu; Di Wu 056; Xin Luo 001 (IEEE Trans. Fuzzy Syst., 2025)