Tsung-Yu Hsieh

27 papers A* 3A 3B 3Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Three-Dimensional Method for Analysis of the Body Mode of Classical Guitars Using a Laser Displacement Sensor.
Sensors
Kuan-Cheng Su, Tsung-Yu Hsieh, Wei-Chih Lin, Fu-Li Hsiao, Tatyana Ryzhkova, Chii-Chang Chen
2024 J jnl
Data Augmentation for Voiceprint Recognition Using Generative Adversarial Networks.
Algorithms
Yao-San Lin, Hung-Yu Chen, Mei-Ling Huang, Tsung-Yu Hsieh
2021 A conf
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals.
WSDM
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
2021 A conf
Functional Autoencoders for Functional Data Representation Learning.
SDM
Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
2021 A* conf
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
Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar
2020 — conf
Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface.
iFUZZY
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
2020 A* conf
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.
WWW
Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2020 J jnl
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals.
CoRR
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
2020 J jnl
Impacts of day trading on the intraday pattern of market quality.
Int. J. Serv. Technol. Manag.
Tsung-Yu Hsieh, Ying-Fen Fu, Shih-Ya Ma
2019 — conf
Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection.
ICBK
Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
2019 J jnl
An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG.
CoRR
Chin-Teng Lin, Yu-Ting Liu, Chun-Hsiang Chuang, Nikhil R. Pal, Yang-Yin Lin, Tsung-Yu Hsieh, Chieh-Ning Fang, Zehong Cao
2019 A* conf
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding.
IJCAI
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019 J jnl
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding.
CoRR
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019 J jnl
Node Injection Attacks on Graphs via Reinforcement Learning.
CoRR
Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2018 — conf
Compositional Stochastic Average Gradient for Machine Learning and Related Applications.
IDEAL (1)
Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar
2018 J jnl
Compositional Stochastic Average Gradient for Machine Learning and Related Applications.
CoRR
Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar
2018 J jnl
Methodology for developing virtual platforms from power-aware to power- and thermal-aware at electronic system level.
IET Cyper-Phys. Syst.: Theory & Appl.
Liang-Ying Lu, Tsung-Yu Hsieh, Pei-En Weng, Lih-Yih Chiou
2018 J jnl
Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets.
IEEE Trans. Knowl. Data Eng.
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
2018 J jnl
Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement.
CoRR
Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar
2018 — conf
Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement.
ICDM Workshops
Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar
2017 J jnl
Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface.
IEEE Trans. Fuzzy Syst.
Shang-Lin Wu, Yu-Ting Liu, Tsung-Yu Hsieh, Yang-Yin Lin, Chih-Yu Chen, Chun-Hsiang Chuang, Chin-Teng Lin
2016 J jnl
Determine the Foot Strike Pattern Using Inertial Sensors.
J. Sensors
Tzyy-Yuang Shiang, Tsung-Yu Hsieh, Yin-Shin Lee, Chen-Chi Wu, Meng-Chieh Yu, Chung-Huan Mei, I-Han Tai
2015 B conf
A Novel Mechanism to Fuse Various Sub-Aspect Brain-Computer Interface (BCI) Systems with PSO for Motor Imagery Task.
SMC
Chin-Teng Lin, Tsung-Yu Hsieh, Yu-Ting Liu, Shang-Lin Wu, Yang-Yin Lin
2015 B conf
Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety.
SMC
Yu-Ting Liu, Yang-Yin Lin, Shang-Lin Wu, Tsung-Yu Hsieh, Chin-Teng Lin
2015 B conf
Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task.
FUZZ-IEEE
Tsung-Yu Hsieh, Yang-Yin Lin, Yu-Ting Liu, Chieh-Ning Fang, Chin-Teng Lin
2014 A conf
A global optimized neuro-fuzzy system using artificial bee colony evolutionary algorithm.
ICS
Yu-Ting Liu, Yang-Yin Lin, Tsung-Yu Hsieh, Shang-Lin Wu, Chin-Teng Lin
2012 J jnl
A Brain-Wave-Actuated Small Robot Car Using Ensemble Empirical Mode Decomposition-Based Approach.
IEEE Trans. Syst. Man Cybern. Part A
Po-Lei Lee, Hsiang-Chih Chang, Tsung-Yu Hsieh, Hua-Ting Deng, Chia-Wei Sun