Di Wu

According to our database, Di Wu authored at least 69 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Online Learning for Data Streams With Incomplete Features and Labels.

Dianlong You, Huigui Yan, Jiawei Xiao, Zhen Chen, Di Wu, Limin Shen, Xindong Wu

IEEE Trans. Knowl. Data Eng., September, 2024

Fuzziness-Based Three-Way Decision With Neighborhood Rough Sets Under the Framework of Shadowed Sets.

Jie Yang, Xiaoqi Wang, Guoyin Wang, Qinghua Zhang, Nenggan Zheng, Di Wu

IEEE Trans. Fuzzy Syst., September, 2024

Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.

Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian

ACM Trans. Inf. Syst., March, 2024

A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data.

Di Wu, Xin Luo, Yi He, Mengchu Zhou

IEEE Trans. Neural Networks Learn. Syst., March, 2024

A Debiasing Autoencoder for Recommender System.

Teng Huang, Cheng Liang, Di Wu, Yi He

IEEE Trans. Consumer Electron., February, 2024

PilotScope: Steering Databases with Machine Learning Drivers.

Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou

Proc. VLDB Endow., January, 2024

Eraser: Eliminating Performance Regression on Learned Query Optimizer.

Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou

Proc. VLDB Endow., January, 2024

A Chinese power text classification algorithm based on deep active learning.

Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu

Appl. Soft Comput., January, 2024

MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data.

Di Wu, Peng Zhang, Yi He, Xin Luo

IEEE Trans. Serv. Comput., 2024

Attribute reduction for hierarchical classification based on improved fuzzy rough set.

Jie Yang, Xiaodan Qin, Guoyin Wang, Qinghua Zhang, Shuai Li, Di Wu

Inf. Sci., 2024

Adaptive three-way KNN classifier using density-based granular balls.

Jie Yang, Juncheng Kuang, Guoyin Wang, Qinghua Zhang, Yanmin Liu, Qun Liu, Deyou Xia, Shuai Li, Xiaoqi Wang, Di Wu

Inf. Sci., 2024

ARDST: An Adversarial-Resilient Deep Symbolic Tree for Adversarial Learning.

Shengda Zhuo, Di Wu, Xin Hu, Yu Wang

Int. J. Intell. Syst., 2024

End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial.

Fulai Yang, Di Wu, Yi He, Li Tao, Xin Luo

CoRR, 2024

Fairness-Aware Streaming Feature Selection with Causal Graphs.

Leizhen Zhang, Lusi Li, Di Wu, Sheng Chen, Yi He

CoRR, 2024

A robust three-way classifier with shadowed granular-balls based on justifiable granularity.

Jie Yang, Lingyun Xiaodiao, Guoyin Wang, Witold Pedrycz, Shuyin Xia, Qinghua Zhang, Di Wu

CoRR, 2024

Robust Sparse Online Learning for Data Streams with Streaming Features.

Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction.

Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Local causal structure learning for streaming features.

Dianlong You, Siqi Dong, Shina Niu, Huigui Yan, Zhen Chen, Shunfu Jin, Di Wu, Xindong Wu

Inf. Sci., November, 2023

Online Learning From Incomplete and Imbalanced Data Streams.

Dianlong You, Jiawei Xiao, Yang Wang, Huigui Yan, Di Wu, Zhen Chen, Limin Shen, Xindong Wu

IEEE Trans. Knowl. Data Eng., October, 2023

Counterfactual explanation generation with minimal feature boundary.

Dianlong You, Shina Niu, Siqi Dong, Huigui Yan, Zhen Chen, Di Wu, Limin Shen, Xindong Wu

Inf. Sci., May, 2023

BCTC-KSM: A blockchain-assisted threshold cryptography for key security management in power IoT data sharing.

Song Deng, Qicong Hu, Di Wu, Yi He

Comput. Electr. Eng., May, 2023

A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis.

Jia Chen, Renfang Wang, Di Wu, Xin Luo

IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack.

Song Deng, Jiantang Zhang, Di Wu, Yi He, Xiangpeng Xie, Xindong Wu

IEEE Trans. Ind. Informatics, March, 2023

A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction.

Di Wu, Peng Zhang, Yi He, Xin Luo

IEEE Trans. Serv. Comput., 2023

Hyperparameter Learning for Deep Learning-Based Recommender Systems.

Di Wu, Bo Sun, Mingsheng Shang

IEEE Trans. Serv. Comput., 2023

A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy Internet.

Song Deng, Yujia Zhai, Di Wu, Dong Yue, Xiong Fu, Yi He

IEEE Trans. Serv. Comput., 2023

A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data.

Di Wu, Yi He, Xin Luo

IEEE Trans. Emerg. Top. Comput., 2023

Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision.

Jiangli Duan, Guoyin Wang, Xin Hu, Deyou Xia, Di Wu

Inf. Process. Manag., 2023

Online Sparse Streaming Feature Selection Using Adapted Classification.

Ruiyang Xu, Di Wu, Xin Luo

CoRR, 2023

An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition.

Liping Zhang, Di Wu, Xin Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Online Sparse Streaming Feature Selection via Decision Risk.

Ruiyang Xu, Di Wu, Xin Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data.

Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Online Semi-supervised Learning with Mix-Typed Streaming Features.

Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection.

Di Wu, Yi He, Xin Luo, MengChu Zhou

IEEE Trans. Syst. Man Cybern. Syst., 2022

A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction.

Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang

IEEE Trans. Serv. Comput., 2022

An L₁-and-L₂-Norm-Oriented Latent Factor Model for Recommender Systems.

Di Wu, Mingsheng Shang, Xin Luo, Zidong Wang

IEEE Trans. Neural Networks Learn. Syst., 2022

A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction.

Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2022

Joint hyperbolic and Euclidean geometry contrastive graph neural networks.

Xiaoyu Xu, Guansong Pang, Di Wu, Mingsheng Shang

Inf. Sci., 2022

DPCL: Contrastive representation learning with differential privacy.

Wenjun Li, Anli Yan, Di Wu, Taoyu Zhu, Teng Huang, Xuandi Luo, Shaowei Wang

Int. J. Intell. Syst., 2022

A structure-characteristic-aware network embedding model via differential evolution.

Xiaoyu Xu, Di Wu, Mingsheng Shang

Expert Syst. Appl., 2022

Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction.

Cheng Liang, Teng Huang, Yi He, Song Deng, Di Wu, Xin Luo

CoRR, 2022

An Online Sparse Streaming Feature Selection Algorithm.

Feilong Chen, Di Wu, Jie Yang, Yi He

CoRR, 2022

A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data.

Di Wu, Peng Zhang, Yi He, Xin Luo

CoRR, 2022

Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices.

Di Wu, Yi He, Xin Luo

CoRR, 2022

A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data.

Jia Chen, Di Wu, Xin Luo

CoRR, 2022

Quantitative combination load forecasting model based on forecasting error optimization.

Song Deng, Fulin Chen, Di Wu, Yi He, Hui Ge, Yuan Ge

Comput. Electr. Eng., 2022

AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender System.

Cheng Liang, Yi He, Teng Huang, Di Wu

Proceedings of the IEEE Smartworld, 2022

OR-AutoRec: An Outlier-Resilient Autoencoder-based Recommendation model.

Yuanpeng Hu, Xianmin Wang, Cheng Liang, Jing Li, Di Wu, Yi He

Proceedings of the IEEE Smartworld, 2022

Online Sparse Streaming Feature Selection with Uncertainty.

Feilong Chen, Di Wu, Jie Yang, Yi He

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

A Robust Latent Factor Analysis Model for Incomplete Data Recovery in Wireless Sensor Networks.

Zhikai Yu, Di Wu, Yi He

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems.

Bo Sun, Di Wu, Mingsheng Shang, Yi He

Proceedings of the Database Systems for Advanced Applications, 2022

2021

A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems.

Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, MengChu Zhou

IEEE Trans. Syst. Man Cybern. Syst., 2021

Toward Mining Capricious Data Streams: A Generative Approach.

Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu

IEEE Trans. Neural Networks Learn. Syst., 2021

Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems.

Xin Luo, Mengchu Zhou, Shuai Li, Di Wu, Zhigang Liu, Mingsheng Shang

IEEE Trans. Big Data, 2021

Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data.

Di Wu, Xin Luo

IEEE CAA J. Autom. Sinica, 2021

An Ensemble Latent Factor Model for Highly Accurate Web Service QoS Prediction.

Peng Zhang, Yi He, Di Wu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems.

Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis.

Di Wu, Long Jin, Xin Luo

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Robust and Accurate Representation Learning for High-dimensional and Sparse Matrices in Recommender Systems.

Di Wu, Gang Lu, Zhicheng Xu

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Adaptive Regularization-Incorporated Latent Factor Analysis.

Xin Luo, Ye Yuan, Di Wu

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

On Partial Multi-Task Learning.

Yi He, Baijun Wu, Di Wu, Xindong Wu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

A Data-Aware Latent Factor Model for Web Service QoS Prediction.

Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Online Learning from Capricious Data Streams: A Generative Approach.

Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Online Feature Selection with Capricious Streaming Features: A General Framework.

Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications.

Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, Huyong Yan

IEEE Trans. Ind. Informatics, 2018

Self-training semi-supervised classification based on density peaks of data.

Di Wu, Mingsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, Guoyin Wang

Neurocomputing, 2018

Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification.

Yi He, Di Wu, Ege Beyazit, Xiaoduan Sun, Xindong Wu

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution.

Di Wu, Mingsheng Shang, Guoyin Wang, Li Li

Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

2012

In-Line Fiber Optic Interferometric Sensors in Single-Mode Fibers.

Tao Zhu, Di Wu, Min Liu, De-Wen Duan

Sensors, 2012