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Tsung-Yu Hsieh
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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
1382020
Fuzzy integral with particle swarm optimization for a motor-imagery-based brain–computer interface
SL Wu, YT Liu, TY Hsieh, YY Lin, CY Chen, CH Chuang, CT Lin
IEEE Transactions on Fuzzy Systems 25 (1), 21-28, 2016
862016
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
662021
Minority oversampling in kernel adaptive subspaces for class imbalanced datasets
CT Lin, TY Hsieh, YT Liu, YY Lin, CN Fang, YK Wang, G Yen, NR Pal, ...
IEEE Transactions on Knowledge and Data Engineering 30 (5), 950-962, 2017
652017
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data
Y El-Manzalawy, TY Hsieh, M Shivakumar, D Kim, V Honavar
BMC medical genomics 11, 19-31, 2018
542018
Megan: A generative adversarial network for multi-view network embedding
Y Sun, S Wang, TY Hsieh, X Tang, V Honavar
arXiv preprint arXiv:1909.01084, 2019
532019
Node injection attacks on graphs via reinforcement learning
Y Sun, S Wang, X Tang, TY Hsieh, V Honavar
arXiv preprint arXiv:1909.06543, 2019
462019
Non-target-specific node injection attacks on graph neural networks: A hierarchical reinforcement learning approach
Y Sun, S Wang, X Tang, TY Hsieh, V Honavar
Proc. WWW 3, 2020
292020
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
212018
SrVARM: State regularized vector autoregressive model for joint learning of hidden state transitions and state-dependent inter-variable dependencies from multi-variate time series
TY Hsieh, Y Sun, X Tang, S Wang, VG Honavar
Proceedings of the Web Conference 2021, 2270-2280, 2021
92021
Assessment of mental fatigue: an EEG-based forecasting system for driving safety
YT Liu, YY Lin, SL Wu, TY Hsieh, CT Lin
2015 IEEE International Conference on Systems, Man, and Cybernetics, 3233-3238, 2015
82015
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
72021
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
72019
Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task
TY Hsieh, YY Lin, YT Liu, CN Fang, CT Lin
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-4, 2015
62015
A novel mechanism to fuse various sub-aspect brain-computer interface (BCI) systems with PSO for motor imagery task
CT Lin, TY Hsieh, YT Liu, SL Wu, YY Lin
2015 IEEE International Conference on Systems, Man, and Cybernetics, 3223-3228, 2015
42015
An adaptive subspace self-organizing map (assom) imbalanced learning and its applications in eeg
CT Lin, YT Liu, CH Chuang, NR Pal, YY Lin, TY Hsieh, CN Fan, Z Cao
arXiv preprint arXiv:1906.02772, 2019
22019
Adaptive subspace sampling for class imbalance processing
YT Liu, NR Pal, SL Wu, TY Hsieh, CT Lin
2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy), 1-5, 2016
22016
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface
CT Lin, KC Huang, NR Pal, Z Cao, YT Liu, CN Fang, TY Hsieh, YY Lin, ...
2020 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 1-8, 2020
12020
Compositional stochastic average gradient for machine learning and related applications
TY Hsieh, Y El-Manzalawy, Y Sun, V Honavar
Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018
12018
Explainable Predictive Modeling and Causal Effect Estimation from Complex Time-Varying Data
TY Hsieh
The Pennsylvania State University, 2021
2021
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