Yi He

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Top Venues

IEEE Trans. Serv. Comput.

Publications

Yufei Jin, Richard Gao, Yi He, Xingquan Zhu
GLDL: Graph Label Distribution Learning. AAAI (2024)
Di Wu, Peng Zhang, Yi He, Xin Luo
MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data. IEEE Trans. Serv. Comput. 17 (2) (2024)
Teng Huang, Cheng Liang, Di Wu, Yi He
A Debiasing Autoencoder for Recommender System. IEEE Trans. Consumer Electron. 70 (1) (2024)
Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction. AAAI (2024)
Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
Robust Sparse Online Learning for Data Streams with Streaming Features. SDM (2024)
Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu
A Chinese power text classification algorithm based on deep active learning. Appl. Soft Comput. 150 (2024)
Di Wu, Xin Luo, Yi He, Mengchu Zhou
A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo
MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. ECML/PKDD (5) (2023)
Di Wu, Yi He, Xin Luo
A Graph-Incorporated Latent Factor Analysis Model for High-Dimensional and Sparse Data. IEEE Trans. Emerg. Top. Comput. 11 (4) (2023)
Di Wu, Peng Zhang, Yi He, Xin Luo
A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. 16 (2) (2023)
Song Deng, Yujia Zhai, Di Wu, Dong Yue, Xiong Fu, Yi He
A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy Internet. IEEE Trans. Serv. Comput. 16 (5) (2023)
Zijie Pan, Li Hu, Weixuan Tang, Jin Li, Yi He, Zheli Liu
Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General Framework. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Di Wu, Qiang He, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang
A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction. IEEE Trans. Serv. Comput. 15 (2) (2022)
Chao Jiang, Yi He, Richard Chapman, Hongyi Wu
Camouflaged Poisoning Attack on Graph Neural Networks. ICMR (2022)
Di Wu, Yi He, Xin Luo
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices. CoRR (2022)
Cheng Liang, Yi He, Teng Huang, Di Wu
AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender System. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Di Wu, Peng Zhang, Yi He, Xin Luo
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data. CoRR (2022)
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Di Wu, Yi He, Xin Luo, MengChu Zhou
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection. IEEE Trans. Syst. Man Cybern. Syst. 52 (11) (2022)
Bo Sun, Di Wu, Mingsheng Shang, Yi He
Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems. DASFAA (2) (2022)
Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng
Interpretable Minority Synthesis for Imbalanced Classification. IJCAI (2021)
Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
Toward Mining Capricious Data Streams: A Generative Approach. IEEE Trans. Neural Networks Learn. Syst. 32 (3) (2021)
Yi He, Xu Yuan, Sheng Chen, Xindong Wu
Online Learning in Variable Feature Spaces under Incomplete Supervision. AAAI (2021)
Yi He, Sheng Chen, Baijun Wu, Xu Yuan, Xindong Wu
Unsupervised Lifelong Learning with Curricula. WWW (2021)
Peng Zhang, Yi He, Di Wu
An Ensemble Latent Factor Model for Highly Accurate Web Service QoS Prediction. ICBK (2021)
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, MengChu Zhou
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 51 (7) (2021)
Yi He, Baijun Wu, Di Wu, Xindong Wu
On Partial Multi-Task Learning. ECAI (2020)
Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu
Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. SDM (2020)
Yi He, Xu Yuan, Nian-Feng Tzeng, Xindong Wu
Active Learning with Multi-Granular Graph Auto-Encoder. ICDM (2020)
Ege Beyazit, Yi He, Nian-Feng Tzeng, Xindong Wu
Online Learning to Accelerate Neural Network Inference with Traveling Classifiers. ECAI (2020)
Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu
Online Feature Selection with Capricious Streaming Features: A General Framework. IEEE BigData (2019)
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
A Data-Aware Latent Factor Model for Web Service QoS Prediction. PAKDD (1) (2019)
Baijun Wu, John Peter Campora III, Yi He, Alexander Schlecht, Sheng Chen
Generating precise error specifications for C: a zero shot learning approach. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
Online Learning from Capricious Data Streams: A Generative Approach. IJCAI (2019)
Yi He, Di Wu, Ege Beyazit, Xiaoduan Sun, Xindong Wu
Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification. ICTAI (2018)