Di Wu - RankMe

104 papers A* 6A 3B 6Journal 74Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3W-GBSVM++: Three-way granular-ball SVM based on granularity optimization mechanism. Appl. Soft Comput. Jie Yang, Rong Huang, Guoyin Wang, Qinghua Zhang, Shuyin Xia, Di Wu
2026	J	`jnl`	A Three-Way Incremental Granular-Ball Classifier Using Shadowed Set. IEEE Trans. Emerg. Top. Comput. Intell. Jie Yang, Lingyun Xiaodiao, Guoyin Wang, Witold Pedrycz, Shuyin Xia, Di Wu, Qinghua Zhang
2026	J	`jnl`	Counterfactual generation with joint causal representation for generative adversarial networks. Neural Networks Dianlong You, Chuan Lu, Zhijuan Wu, Xiaoyi Ge, Di Wu
2026	A*	`conf`	Federated Latent Factor Learning for Privacy-Preserving Spatio-Temporal Signal Recovery. WWW Chengjun Yu, Di Wu, Yi He, Jia Chen, Xin Luo
2026	J	`jnl`	Global natural gas trade forecast via hybrid machine learning. Int. J. Data Sci. Anal. Yu Yan, Gang Lu, Xiaoqing Yan, Peng Xia, Song Deng, Di Wu
2026	J	`jnl`	Multimetric Autoencoder for Representing High-Dimensional and Incomplete Data. IEEE Trans. Syst. Man Cybern. Syst. Di Wu, Cheng Liang, Yi He, Yan Qiao, Xin Luo
2026	J	`jnl`	Non-Gradient Hash Factor Learning for High-Dimensional and Incomplete Data Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Di Wu, Shihui Li, Yi He, Xin Luo, Xinbo Gao
2026	J	`jnl`	PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised MMEA. CoRR Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu
2026	—	`conf`	PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment. KDD (1) Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu
2026	J	`jnl`	Three-Way Outlier Detection Based on Shadowed Granular-Balls. IEEE Trans. Fuzzy Syst. Jie Yang, Feng Lu, Guoyin Wang, Shuyin Xia, Qinghua Zhang, Yi Liu, Yi Wang, Di Wu
2025	J	`jnl`	A Highly-Accurate Three-Way Decision-Incorporated Online Sparse Streaming Features Selection Model. IEEE Trans. Syst. Man Cybern. Syst. Ruiyang Xu, Di Wu, Renfang Wang, Xin Luo
2025	J	`jnl`	A Hybrid Ensemble End-to-End Neural Network for Accurate Protein-Protein Interactions Prediction. IEEE Trans. Comput. Biol. Bioinform. Jie Yang, Xijie Lan, Guoyin Wang, Zhong Chen, Yuwen Chen, Di Wu
2025	J	`jnl`	A Robust Three-Way Classifier With Shadowed Granular Balls Based on Justifiable Granularity. IEEE Trans. Neural Networks Learn. Syst. Jie Yang, Lingyun Xiaodiao, Guoyin Wang, Witold Pedrycz, Shuyin Xia, Qinghua Zhang, Di Wu
2025	J	`jnl`	A differential evolution optimized hybrid XGBoost for accurate carbon emission prediction. Environ. Model. Softw. Lingfei Zhang, Gang Lu, Xiaoqing Yan, Peng Xia, Zhong Chen, Di Wu
2025	J	`jnl`	Adaptive Ensemble Learning with Gaussian Copula for Load Forecasting. CoRR Junying Yang, Gang Lu, Xiaoqing Yan, Peng Xia, Di Wu
2025	J	`jnl`	An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data. IEEE Trans. Emerg. Top. Comput. Intell. Di Wu, Yuanpeng Hu, Kechen Liu, Jing Li, Xianmin Wang, Song Deng, Nenggan Zheng, Xin Luo
2025	J	`jnl`	Constructing Three-Way Decision With Fuzzy Granular-Ball Rough Sets Based on Uncertainty Invariance. IEEE Trans. Fuzzy Syst. Jie Yang, Zhuangzhuang Liu, Guoyin Wang, Qinghua Zhang, Shuyin Xia, Di Wu, Yanmin Liu
2025	J	`jnl`	Disentangle Representation Learning with Excluding Confounding Bias for causal effect estimation. Knowl. Based Syst. Dianlong You, Dongyan Wang, Bingxin Liu, Xiaoyi Ge, Di Wu, Xindong Wu
2025	J	`jnl`	Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features. CoRR Shengda Zhuo, Di Wu, Yi He, Shuqiang Huang, Xindong Wu
2025	J	`jnl`	Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss. IEEE Trans. Emerg. Top. Comput. Intell. Jinye Yang, Ji Xu, Di Wu, Jianhang Tang, Shaobo Li, Guoyin Wang
2025	B	`conf`	Mutual Information-Driven Graph Neural Network for Distributed Photovoltaic Power Forecasting. SMC Xiran Xu, Gang Lu, Xiaoqing Yan, Peng Xia, Di Wu
2025	J	`jnl`	Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features. ACM Trans. Knowl. Discov. Data Shengda Zhuo, Di Wu, Yi He, Shuqiang Huang, Xindong Wu
2025	J	`jnl`	Online Outlier Detection in Open Feature Spaces. IEEE Trans. Knowl. Data Eng. Heng Lian, Yi He, Di Wu, Zhong Chen, Xingquan Zhu, Xindong Wu
2025	J	`jnl`	Recursion-and-Fuzziness Reinforced Online Sparse Streaming Feature Selection. IEEE Trans. Fuzzy Syst. Ruiyang Xu, Di Wu, Xin Luo
2025	J	`jnl`	Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery. IEEE Trans. Neural Networks Learn. Syst. Di Wu, Zechao Li, Zhikai Yu, Yi He, Xin Luo
2025	A	`conf`	ℓ SDM Zhong Chen, Yi He, Di Wu, Wenbin Zhang, Zhiqiang Deng
2024	J	`jnl`	A Chinese power text classification algorithm based on deep active learning. Appl. Soft Comput. Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu
2024	J	`jnl`	A Debiasing Autoencoder for Recommender System. IEEE Trans. Consumer Electron. Teng Huang, Cheng Liang, Di Wu, Yi He
2024	J	`jnl`	A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. IEEE Trans. Neural Networks Learn. Syst. Di Wu, Xin Luo, Yi He, MengChu Zhou
2024	J	`jnl`	A robust three-way classifier with shadowed granular-balls based on justifiable granularity. CoRR Jie Yang, Lingyun Xiaodiao, Guoyin Wang, Witold Pedrycz, Shuyin Xia, Qinghua Zhang, Di Wu
2024	J	`jnl`	ARDST: An Adversarial-Resilient Deep Symbolic Tree for Adversarial Learning. Int. J. Intell. Syst. Shengda Zhuo, Di Wu, Xin Hu, Yu Wang
2024	—	`conf`	Adaptive Correlation-Incorporated Latent Feature Analysis for Online Sparse Streaming Feature Selection. IJCRS (2) Hao Tian, Yangyi Xia, Jia Wu, Di Wu
2024	J	`jnl`	Adaptive three-way KNN classifier using density-based granular balls. Inf. Sci. Jie Yang, Juncheng Kuang, Guoyin Wang, Qinghua Zhang, Yanmin Liu, Qun Liu, Deyou Xia, Shuai Li, Xiaoqi Wang, Di Wu
2024	J	`jnl`	An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Jie Yang, Yapeng Li, Guoyin Wang, Zhong Chen, Di Wu
2024	J	`jnl`	Attribute reduction for hierarchical classification based on improved fuzzy rough set. Inf. Sci. Jie Yang, Xiaodan Qin, Guoyin Wang, Qinghua Zhang, Shuai Li, Di Wu
2024	J	`jnl`	End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial. CoRR Fulai Yang, Di Wu, Yi He, Li Tao, Xin Luo
2024	J	`jnl`	Eraser: Eliminating Performance Regression on Learned Query Optimizer. Proc. VLDB Endow. Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou
2024	J	`jnl`	Fairness-Aware Streaming Feature Selection with Causal Graphs. CoRR Leizhen Zhang, Lusi Li, Di Wu, Sheng Chen, Yi He
2024	J	`jnl`	Full-Duplex Time-Domain Contention for WiFi Networks: Opportunities and Challenges. IEEE Wirel. Commun. Qinglin Zhao, Li Feng, MengChu Zhou, Di Wu, Xiaofen Wang, Peiyun Zhang
2024	J	`jnl`	Fuzziness-Based Three-Way Decision With Neighborhood Rough Sets Under the Framework of Shadowed Sets. IEEE Trans. Fuzzy Syst. Jie Yang, Xiaoqi Wang, Guoyin Wang, Qinghua Zhang, Nenggan Zheng, Di Wu
2024	A*	`conf`	MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction. AAAI Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo
2024	J	`jnl`	MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data. IEEE Trans. Serv. Comput. Di Wu, Peng Zhang, Yi He, Xin Luo
2024	J	`jnl`	OSFS-Vague: Online streaming feature selection algorithm based on vague set. CAAI Trans. Intell. Technol. Jie Yang, Zhijun Wang, Guoyin Wang, Yanmin Liu, Yi He, Di Wu
2024	J	`jnl`	Online Learning From Evolving Feature Spaces With Deep Variational Models. IEEE Trans. Knowl. Data Eng. Heng Lian, Di Wu, Bo-Jian Hou, Jian Wu, Yi He
2024	J	`jnl`	Online Learning for Data Streams With Incomplete Features and Labels. IEEE Trans. Knowl. Data Eng. Dianlong You, Huigui Yan, Jiawei Xiao, Zhen Chen, Di Wu, Limin Shen, Xindong Wu
2024	J	`jnl`	PilotScope: Steering Databases with Machine Learning Drivers. Proc. VLDB Endow. Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou
2024	J	`jnl`	Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian
2024	A	`conf`	Robust Sparse Online Learning for Data Streams with Streaming Features. SDM Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
2024	B	`conf`	ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features. IEEE Big Data Zhong Chen, Yi He, Di Wu, Liudong Zuo, Keren Li, Wenbin Zhang, Zhiqiang Deng
2023	J	`jnl`	A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis. IEEE Trans. Emerg. Top. Comput. Intell. Jia Chen, Renfang Wang, Di Wu, Xin Luo
2023	J	`jnl`	A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. Di Wu, Peng Zhang, Yi He, Xin Luo
2023	J	`jnl`	A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data. IEEE Trans. Emerg. Top. Comput. Di Wu, Yi He, Xin Luo
2023	J	`jnl`	A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy Internet. IEEE Trans. Serv. Comput. Song Deng, Yujia Zhai, Di Wu, Dong Yue, Xiong Fu, Yi He
2023	B	`conf`	A Node-Collaboration-Informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs. SMC Ying Wang, Ye Yuan, Di Wu
2023	J	`jnl`	A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack. IEEE Trans. Ind. Informatics Song Deng, Jiantang Zhang, Di Wu, Yi He, Xiangpeng Xie, Xindong Wu
2023	B	`conf`	An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition. SMC Liping Zhang, Di Wu, Xin Luo
2023	J	`jnl`	An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition. CoRR Liping Zhang, Di Wu, Xin Luo
2023	J	`jnl`	BCTC-KSM: A blockchain-assisted threshold cryptography for key security management in power IoT data sharing. Comput. Electr. Eng. Song Deng, Qicong Hu, Di Wu, Yi He
2023	J	`jnl`	Counterfactual explanation generation with minimal feature boundary. Inf. Sci. Dianlong You, Shina Niu, Siqi Dong, Huigui Yan, Zhen Chen, Di Wu, Limin Shen, Xindong Wu
2023	J	`jnl`	Hyperparameter Learning for Deep Learning-Based Recommender Systems. IEEE Trans. Serv. Comput. Di Wu, Bo Sun, Mingsheng Shang
2023	—	`conf`	Improved Kinematic Control Scheme with Harmonic Noise Tolerance for Robotic Manipulators. ICARM Naimeng Cang, Di Wu, Dongsheng Guo, Jinrong Zheng, Shuai Li
2023	J	`jnl`	Local causal structure learning for streaming features. Inf. Sci. Dianlong You, Siqi Dong, Shina Niu, Huigui Yan, Zhen Chen, Shunfu Jin, Di Wu, Xindong Wu
2023	—	`conf`	MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. ECML/PKDD (5) Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo
2023	J	`jnl`	Mining multigranularity decision rules of concept cognition for knowledge graphs based on three-way decision. Inf. Process. Manag. Jiangli Duan, Guoyin Wang, Xin Hu, Deyou Xia, Di Wu
2023	J	`jnl`	Online Learning From Incomplete and Imbalanced Data Streams. IEEE Trans. Knowl. Data Eng. Dianlong You, Jiawei Xiao, Yang Wang, Huigui Yan, Di Wu, Zhen Chen, Limin Shen, Xindong Wu
2023	A*	`conf`	Online Semi-supervised Learning with Mix-Typed Streaming Features. AAAI Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He
2023	J	`jnl`	Online Sparse Streaming Feature Selection Using Adapted Classification. CoRR Ruiyang Xu, Di Wu, Xin Luo
2023	B	`conf`	Online Sparse Streaming Feature Selection via Decision Risk. SMC Ruiyang Xu, Di Wu, Xin Luo
2022	J	`jnl`	A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. IEEE Trans. Knowl. Data Eng. Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2022	J	`jnl`	A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data. CoRR Jia Chen, Di Wu, Xin Luo
2022	J	`jnl`	A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection. IEEE Trans. Syst. Man Cybern. Syst. Di Wu, Yi He, Xin Luo, MengChu Zhou
2022	J	`jnl`	A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data. CoRR Di Wu, Peng Zhang, Yi He, Xin Luo
2022	J	`jnl`	A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang
2022	—	`conf`	A Robust Latent Factor Analysis Model for Incomplete Data Recovery in Wireless Sensor Networks. EDGE Zhikai Yu, Di Wu, Yi He
2022	J	`jnl`	A structure-characteristic-aware network embedding model via differential evolution. Expert Syst. Appl. Xiaoyu Xu, Di Wu, Mingsheng Shang
2022	J	`jnl`	An L IEEE Trans. Neural Networks Learn. Syst. Di Wu, Mingsheng Shang, Xin Luo, Zidong Wang
2022	J	`jnl`	An Online Sparse Streaming Feature Selection Algorithm. CoRR Feilong Chen, Di Wu, Jie Yang, Yi He
2022	—	`conf`	AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender System. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Cheng Liang, Yi He, Teng Huang, Di Wu
2022	J	`jnl`	DPCL: Contrastive representation learning with differential privacy. Int. J. Intell. Syst. Wenjun Li, Anli Yan, Di Wu, Taoyu Zhu, Teng Huang, Xuandi Luo, Shaowei Wang
2022	J	`jnl`	Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices. CoRR Di Wu, Yi He, Xin Luo
2022	J	`jnl`	Joint hyperbolic and Euclidean geometry contrastive graph neural networks. Inf. Sci. Xiaoyu Xu, Guansong Pang, Di Wu, Mingsheng Shang
2022	J	`jnl`	Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction. CoRR Cheng Liang, Teng Huang, Yi He, Song Deng, Di Wu, Xin Luo
2022	—	`conf`	OR-AutoRec: An Outlier-Resilient Autoencoder-based Recommendation model. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Yuanpeng Hu, Xianmin Wang, Cheng Liang, Jing Li, Di Wu, Yi He
2022	—	`conf`	Online Sparse Streaming Feature Selection with Uncertainty. ICNSC Feilong Chen, Di Wu, Jie Yang, Yi He
2022	J	`jnl`	Quantitative combination load forecasting model based on forecasting error optimization. Comput. Electr. Eng. Song Deng, Fulin Chen, Di Wu, Yi He, Hui Ge, Yuan Ge
2022	—	`conf`	Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. DASFAA (2) Bo Sun, Di Wu, Mingsheng Shang, Yi He
2021	J	`jnl`	A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, MengChu Zhou
2021	J	`jnl`	Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. IEEE Trans. Big Data Xin Luo, MengChu Zhou, Shuai Li, Di Wu, Zhigang Liu, Mingsheng Shang
2021	—	`conf`	An Ensemble Latent Factor Model for Highly Accurate Web Service QoS Prediction. ICBK Peng Zhang, Yi He, Di Wu
2021	J	`jnl`	Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data. IEEE CAA J. Autom. Sinica Di Wu, Xin Luo
2021	J	`jnl`	Toward Mining Capricious Data Streams: A Generative Approach. IEEE Trans. Neural Networks Learn. Syst. Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
2020	A*	`conf`	A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. WWW Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu
2020	—	`conf`	Adaptive Regularization-Incorporated Latent Factor Analysis. ICKG Xin Luo, Ye Yuan, Di Wu
2020	A	`conf`	On Partial Multi-Task Learning. ECAI Yi He, Baijun Wu, Di Wu, Xindong Wu
2020	A*	`conf`	PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis. ICDM Di Wu, Long Jin, Xin Luo
2020	—	`conf`	Robust and Accurate Representation Learning for High-dimensional and Sparse Matrices in Recommender Systems. ICKG Di Wu, Gang Lu, Zhicheng Xu
2019	—	`conf`	A Data-Aware Latent Factor Model for Web Service QoS Prediction. PAKDD (1) Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2019	—	`conf`	Online Feature Selection with Capricious Streaming Features: A General Framework. IEEE BigData Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu
2019	A*	`conf`	Online Learning from Capricious Data Streams: A Generative Approach. IJCAI Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
2018	J	`jnl`	A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications. IEEE Trans. Ind. Informatics Di Wu, Xin Luo, Guoyin Wang, Mingsheng Shang, Ye Yuan, Huyong Yan
2018	—	`conf`	A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution. ICNSC Di Wu, Mingsheng Shang, Guoyin Wang, Li Li
2018	J	`jnl`	Self-training semi-supervised classification based on density peaks of data. Neurocomputing Di Wu, Mingsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, Guoyin Wang
2018	B	`conf`	Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification. ICTAI Yi He, Di Wu, Ege Beyazit, Xiaoduan Sun, Xindong Wu
2012	J	`jnl`	In-Line Fiber Optic Interferometric Sensors in Single-Mode Fibers. Sensors Tao Zhu, Di Wu, Min Liu, De-Wen Duan