Yi He 0007 - researchr alias

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Viewing Publication 1 - 32 from 32

2025

Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal RecoveryDi Wu 0056, Zechao Li, Zhikai Yu, Yi He 0007, Xin Luo 0001. tnn, 36(2):2829-2842, February 2025. [doi]

Metric-Agnostic Continual Learning for Sustainable Group FairnessHeng Lian, Chen Zhao, Zhong Chen 0003, Xingquan Zhu 0001, My T. Thai, Yi He 0007. AAAI 2025: 18648-18657 [doi]

2024

Robust Sparse Online Learning for Data Streams with Streaming FeaturesZhong Chen 0003, Yi He 0007, Di Wu 0056, Huixin Zhan, Victor S. Sheng, Kun Zhang 0012. sdm 2024: 181-189 [doi]

OSFS-Vague: Online streaming feature selection algorithm based on vague setJie Yang 0052, Zhijun Wang, Guoyin Wang 0001, Yanmin Liu, Yi He 0007, Di Wu 0056. caaitrit, 9(6):1451-1466, 2024. [doi]

A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse DataDi Wu 0056, Xin Luo 0001, Yi He 0007, MengChu Zhou. tnn, 35(3):3845-3858, March 2024. [doi]

MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete DataDi Wu 0056, Peng Zhang, Yi He 0007, Xin Luo 0001. tsc, 17(2):575-588, March - April 2024. [doi]

A Chinese power text classification algorithm based on deep active learningSong Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He 0007, Xindong Wu 0001. asc, 150:111067, January 2024. [doi]

A Debiasing Autoencoder for Recommender SystemTeng Huang, Cheng Liang, Di Wu 0056, Yi He 0007. tce, 70(1):3603-3613, February 2024. [doi]

HGDL: Heterogeneous Graph Label Distribution LearningYufei Jin, Heng Lian, Yi He 0007, Xingquan Zhu 0001. nips 2024: [doi]

Learning Gradual Typing PerformanceMohammad Wahiduzzaman Khan, Sheng Chen 0008, Yi He 0007. ECOOP 2024: [doi]

Urban Functional Zone Delineation Aided by Vision Foundation ModelsHeng Lian, Yi He 0007. icdm 2024: 40-43 [doi]

Utilitarian Online Learning from Open-World Soft SensingHeng Lian, Yu Huang 0017, Xingquan Zhu 0001, Yi He 0007. icdm 2024: 241-250 [doi]

2023

A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy InternetSong Deng, Yujia Zhai, Di Wu, Dong Yue, Xiong Fu, Yi He 0007. tsc, 16(5):3115-3128, September - October 2023. [doi]

MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete DataCheng Liang, Di Wu, Yi He 0007, Teng Huang, Zhong Chen, Xin Luo 0001. pkdd 2023: 3-19 [doi]

Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General FrameworkZijie Pan, Li Hu, Weixuan Tang, Jin Li 0002, Yi He 0007, Zheli Liu. tkde, 35(3):2975-2986, March 2023. [doi]

A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse DataDi Wu, Yi He 0007, Xin Luo 0001. tetc, 11(4):907-917, October - December 2023. [doi]

A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS PredictionDi Wu, Peng Zhang, Yi He 0007, Xin Luo 0001. tsc, 16(2):802-814, March - April 2023. [doi]

2022

Online Sparse Streaming Feature Selection with UncertaintyFeilong Chen, Di Wu, Jie Yang 0052, Yi He 0007. icnsc 2022: 1-6 [doi]

AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender SystemCheng Liang, Yi He 0007, Teng Huang, Di Wu. uic 2022: 1876-1881 [doi]

Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender SystemsBo Sun, Di Wu, Mingsheng Shang 0001, Yi He 0007. dasfaa 2022: 323-331 [doi]

A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS PredictionDi Wu, Qiang He 0001, Xin Luo 0001, Mingsheng Shang 0001, Yi He 0007, Guoyin Wang 0001. tsc, 15(2):793-805, 2022. [doi]

A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature SelectionDi Wu, Yi He 0007, Xin Luo 0001, MengChu Zhou. tsmc, 52(11):6744-6758, 2022. [doi]

A Data-Characteristic-Aware Latent Factor Model for Web Services QoS PredictionDi Wu, Xin Luo 0001, Mingsheng Shang 0001, Yi He 0007, Guoyin Wang 0001, Xindong Wu 0001. tkde, 34(6):2525-2538, 2022. [doi]

2021

Interpretable Minority Synthesis for Imbalanced ClassificationYi He 0007, Fudong Lin, Xu Yuan, Nian-Feng Tzeng. IJCAI 2021: 2542-2548 [doi]

Online Learning in Variable Feature Spaces under Incomplete SupervisionYi He 0007, Xu Yuan, Sheng Chen, Xindong Wu 0001. AAAI 2021: 4106-4114 [doi]

Unsupervised Lifelong Learning with CurriculaYi He 0007, Sheng Chen 0008, Baijun Wu, Xu Yuan, Xindong Wu 0001. WWW 2021: 3534-3545 [doi]

Toward Mining Capricious Data Streams: A Generative ApproachYi He 0007, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen 0008, Xindong Wu 0001. tnn, 32(3):1228-1240, 2021. [doi]

A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender SystemsDi Wu, Xin Luo 0001, Mingsheng Shang, Yi He 0007, Guoyin Wang 0001, MengChu Zhou. tsmc, 51(7):4285-4296, 2021. [doi]

An Ensemble Latent Factor Model for Highly Accurate Web Service QoS PredictionPeng Zhang, Yi He 0007, Di Wu. icbk 2021: 361-368 [doi]

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