引用次数
引用: 1,133
H-指数: 14
I10-指数 : 22
出版物: 58
Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs.
Xindong Wu , Sheng Chen , Yi He , Bruce A. Wade
siam international conference on data mining 334 -342
2020
Active Learning with Multi-Granular Graph Auto-Encoder
Nian-Feng Tzeng , Xu Yuan , Xindong Wu , Yi He
international conference on data mining 1058 -1063
2
2020
Unsupervised Lifelong Learning with Curricula
Xu Yuan , Xindong Wu , Sheng Chen , Baijun Wu
the web conference
4
2021
Online Learning from Capricious Data Streams: A Generative Approach.
Yi He , Baijun Wu , Di Wu , Ege Beyazit
international joint conference on artificial intelligence 2491 -2497
6
2019
A Data-Aware Latent Factor Model for Web Service QoS Prediction
Di Wu , Xin Luo , Mingsheng Shang , Yi He
pacific-asia conference on knowledge discovery and data mining 384 -399
6
2019
Toward Mining Capricious Data Streams: A Generative Approach
Yi He , Baijun Wu , Di Wu , Ege Beyazit
IEEE Transactions on Neural Networks and Learning Systems 32 ( 3) 1 -13
2
2020
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction
Di Wu , Xin Luo , Mingsheng Shang , Yi He
IEEE Transactions on Knowledge and Data Engineering 1 -1
128
2020
Online Feature Selection with Capricious Streaming Features: A General Framework
Di Wu , Yi He , Xin Luo , Mingsheng Shang
2019 IEEE International Conference on Big Data (Big Data) 683 -688
4
2019
A Posterior-neighborhood-regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction
DI WU , Qiang He , Xin Luo , Mingsheng Shang
IEEE Transactions on Services Computing 1 -1
93
2020
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems
Di Wu , Xin Luo , Mingsheng Shang , Yi He
IEEE Transactions on Systems, Man, and Cybernetics 1 -12
143
2019
Learning with Partial Multi-Outlooks
Jing Chen , Yi He , Vijay Raghavan
2020 International Joint Conference on Neural Networks (IJCNN) 1 -8
2020
Supervised Data Synthesizing and Evolving – A Framework for Real-World Traffic Crash Severity Classification
Yi He , Di Wu , Ege Beyazit , Xiaoduan Sun
international conference on tools with artificial intelligence 163 -170
3
2018
Online Streaming Feature Selection via Conditional Independence
Dianlong You , Xindong Wu , Limin Shen , Yi He
Applied Sciences 8 ( 12) 2548
3
2018
Privacy-preserving multi-granular federated neural architecture search a general framework
Zijie Pan , Li Hu , Weixuan Tang , Jin Li
IEEE Transactions on Knowledge and Data Engineering
4
2021
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction
Cheng Liang , Teng Huang , Yi He , Song Deng
arXiv preprint arXiv:2212.13879
2022
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 Transactions on Neural Networks and Learning Systems
15
2022
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
Zichong Wang , Yang Zhou , Meikang Qiu , Israat Haque
arXiv preprint arXiv:2302.08018
1
2023
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices
Di Wu , Yi He , Xin Luo ,
arXiv preprint arXiv:2204.07818
2022
Online Deep Learning from Doubly-Streaming Data
Heng Lian , John Scovi Atwood , Bo-Jian Hou , Jian Wu
Smpte Journal 3185 -3194
2022
Camouflaged poisoning attack on graph neural networks
Chao Jiang , Yi He , Richard Chapman , Hongyi Wu
Smpte Journal 451 -461
2
2022