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Yi He
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 29
Top Topics
E Learning
Top Venues
IEEE Trans. Serv. Comput.
CoRR
IEEE Trans. Knowl. Data Eng.
IEEE Trans. Syst. Man Cybern. Syst.
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Publications
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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)
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)