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2020 – today
- 2024
[j7]Kuan-Cheng Su, Tsung-Yu Hsieh, Wei-Chih Lin, Fu-Li Hsiao
, Tatyana Ryzhkova, Chii-Chang Chen:
A Three-Dimensional Method for Analysis of the Body Mode of Classical Guitars Using a Laser Displacement Sensor. Sensors 24(16): 5147 (2024)- 2021
- [c13]Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar:
Functional Autoencoders for Functional Data Representation Learning. SDM 2021: 666-674 - [c12]Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar:
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. WSDM 2021: 607-615 - [c11]Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar:
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. WWW 2021: 2270-2280 - 2020
- [j6]Tsung-Yu Hsieh, Ying-Fen Fu, Shih-Ya Ma:
Impacts of day trading on the intraday pattern of market quality. Int. J. Serv. Technol. Manag. 26(1): 20-37 (2020) - [c10]Chin-Teng Lin, Kuan-Chih Huang, Nikhil R. Pal, Zehong Cao, Yu-Ting Liu, Chieh-Ning Fang, Tsung-Yu Hsieh, Yang-Yin Lin, Shang-Lin Wu:
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. iFUZZY 2020: 1-8 - [c9]Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar:
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. WWW 2020: 673-683 - [i6]Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar:
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals. CoRR abs/2011.11631 (2020)
2010 – 2019
- 2019
- [c8]Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar:
Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection. ICBK 2019: 87-96 - [c7]Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar:
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. IJCAI 2019: 3527-3533 - [i5]Chin-Teng Lin, Yu-Ting Liu, Chun-Hsiang Chuang, Nikhil R. Pal, Yang-Yin Lin, Tsung-Yu Hsieh, Chieh-Ning Fang, Zehong Cao:
An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. CoRR abs/1906.02772 (2019) - [i4]Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar:
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. CoRR abs/1909.01084 (2019) - [i3]Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar:
Node Injection Attacks on Graphs via Reinforcement Learning. CoRR abs/1909.06543 (2019) - 2018
- [j5]Liang-Ying Lu, Tsung-Yu Hsieh, Pei-En Weng, Lih-Yih Chiou:
Methodology for developing virtual platforms from power-aware to power- and thermal-aware at electronic system level. IET Cyper-Phys. Syst.: Theory & Appl. 3(3): 150-157 (2018) - [j4]Chin-Teng Lin, Tsung-Yu Hsieh, Yu-Ting Liu, Yang-Yin Lin, Chieh-Ning Fang, Yu-Kai Wang, Gary G. Yen, Nikhil R. Pal, Chun-Hsiang Chuang:
Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets. IEEE Trans. Knowl. Data Eng. 30(5): 950-962 (2018) - [c6]Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar:
Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement. ICDM Workshops 2018: 1006-1013 - [c5]Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar:
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. IDEAL (1) 2018: 740-752 - [i2]Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar:
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. CoRR abs/1809.01225 (2018) - [i1]Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar:
Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement. CoRR abs/1811.02616 (2018) - 2017
- [j3]Shang-Lin Wu, Yu-Ting Liu, Tsung-Yu Hsieh, Yang-Yin Lin, Chih-Yu Chen, Chun-Hsiang Chuang, Chin-Teng Lin:
Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface. IEEE Trans. Fuzzy Syst. 25(1): 21-28 (2017) - 2016
- [j2]Tzyy-Yuang Shiang, Tsung-Yu Hsieh, Yin-Shin Lee, Chen-Chi Wu, Meng-Chieh Yu, Chung-Huan Mei, I-Han Tai:
Determine the Foot Strike Pattern Using Inertial Sensors. J. Sensors 2016: 4759626:1-4759626:6 (2016) - 2015
- [c4]Tsung-Yu Hsieh, Yang-Yin Lin, Yu-Ting Liu, Chieh-Ning Fang, Chin-Teng Lin:
Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task. FUZZ-IEEE 2015: 1-4 - [c3]Chin-Teng Lin, Tsung-Yu Hsieh, Yu-Ting Liu, Shang-Lin Wu, Yang-Yin Lin:
A Novel Mechanism to Fuse Various Sub-Aspect Brain-Computer Interface (BCI) Systems with PSO for Motor Imagery Task. SMC 2015: 3223-3228 - [c2]Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Tsung-Yu Hsieh, Chin-Teng Lin:
Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety. SMC 2015: 3233-3238 - 2014
- [c1]Yu-Ting Liu, Yang-Yin Lin, Tsung-Yu Hsieh, Shang-Lin Wu, Chin-Teng Lin:
A global optimized neuro-fuzzy system using artificial bee colony evolutionary algorithm. ICS 2014: 140-149 - 2012
- [j1]Po-Lei Lee, Hsiang-Chih Chang, Tsung-Yu Hsieh, Hua-Ting Deng, Chia-Wei Sun:
A Brain-Wave-Actuated Small Robot Car Using Ensemble Empirical Mode Decomposition-Based Approach. IEEE Trans. Syst. Man Cybern. Part A 42(5): 1053-1064 (2012)
Coauthor Index
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