Yiwei Sun
Yiwei Sun
Coupang
Verified email at psu.edu
Title
Cited by
Cited by
Year
Detecting overlapping communities from local spectral subspaces
K He, Y Sun, D Bindel, J Hopcroft, Y Li
2015 IEEE International Conference on Data Mining, 769-774, 2015
572015
Transferring robustness for graph neural network against poisoning attacks
X Tang, Y Li, Y Sun, H Yao, P Mitra, S Wang
Proceedings of the 13th International Conference on Web Search and Data …, 2020
44*2020
Adversarial attacks on graph neural networks via node injections: A hierarchical reinforcement learning approach
Y Sun, S Wang, X Tang, TY Hsieh, V Honavar
Proceedings of The Web Conference 2020, 673-683, 2020
26*2020
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Y Sun, S Wang, TY Hsieh, X Tang, V Honavar
International Joint Conference on Artificial Intelligence (IJCAI), 2019
242019
Joint modeling of local and global temporal dynamics for multivariate time series forecasting with missing values
X Tang, H Yao, Y Sun, C Aggarwal, P Mitra, S Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5956-5963, 2020
212020
Improving image captioning by leveraging knowledge graphs
Y Zhou, Y Sun, V Honavar
2019 IEEE winter conference on applications of computer vision (WACV), 283-293, 2019
202019
Ginger cannot cure cancer: Battling fake health news with a comprehensive data repository
E Dai, Y Sun, S Wang
Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020
172020
Multi-view network embedding via graph factorization clustering and co-regularized multi-view agreement
Y Sun, N Bui, TY Hsieh, V Honavar
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1006-1013, 2018
102018
LMLFM: Longitudinal Multi-Level Factorization Machine
J Liang, D Xu, Y Sun, V Honavar
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4811-4818, 2020
62020
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals
TY Hsieh, S Wang, Y Sun, V Honavar
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
32021
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks
X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
32020
An ontology-aware framework for audio event classification
Y Sun, S Ghaffarzadegan
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
Adaptive structural co-regularization for unsupervised multi-view feature selection
TY Hsieh, Y Sun, S Wang, V Honavar
2019 IEEE International Conference on Big Knowledge (ICBK), 87-96, 2019
32019
Graph Convolutional Networks against Degree-Related Biases
X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang
arXiv preprint arXiv:2006.15643, 2020
22020
Functional Autoencoders for Functional Data Representation Learning
TY Hsieh, Y Sun, S Wang, V Honavar
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
12021
Compositional stochastic average gradient for machine learning and related applications
TY Hsieh, ELM Yasser, Y Sun, V Honavar
International Conference on Intelligent Data Engineering and Automated …, 2018
12018
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Time Series Data
TY Hsieh, Y Sun, X Tang, S Wang, VG Honavar
2021
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