A Brain-Wave-Actuated Small Robot Car Using Ensemble Empirical Mode Decomposition-Based Approach. - Po-Lei Lee; Hsiang-Chih Chang; Tsung-Yu Hsieh; Hua-Ting Deng; Chia-Wei Sun (IEEE Trans. Syst. Man Cybern. Part A, 2012)

A global optimized neuro-fuzzy system using artificial bee colony evolutionary algorithm. - Yu-Ting Liu; Yang-Yin Lin; Tsung-Yu Hsieh; Shang-Lin Wu; Chin-Teng Lin (ICS, 2014)

Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task. - Tsung-Yu Hsieh; Yang-Yin Lin; Yu-Ting Liu; Chieh-Ning Fang; Chin-Teng Lin (FUZZ-IEEE, 2015)

A Novel Mechanism to Fuse Various Sub-Aspect Brain-Computer Interface (BCI) Systems with PSO for Motor Imagery Task. - Chin-Teng Lin; Tsung-Yu Hsieh; Yu-Ting Liu; Shang-Lin Wu; Yang-Yin Lin (SMC, 2015)

Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety. - Yu-Ting Liu; Yang-Yin Lin; Shang-Lin Wu; Tsung-Yu Hsieh; Chin-Teng Lin (SMC, 2015)

Determine the Foot Strike Pattern Using Inertial Sensors. - Tzyy-Yuang Shiang; Tsung-Yu Hsieh; Yin-Shin Lee; Chen-Chi Wu; Meng-Chieh Yu; Chung-Huan Mei; I-Han Tai (J. Sensors, 2016)

Fuzzy Integral With Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface. - Shang-Lin Wu; Yu-Ting Liu; Tsung-Yu Hsieh; Yang-Yin Lin; Chih-Yu Chen; Chun-Hsiang Chuang; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2017)

Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement. - Yiwei Sun; Ngot Bui; Tsung-Yu Hsieh; Vasant G. Honavar (ICDM Workshops, 2018)

Compositional Stochastic Average Gradient for Machine Learning and Related Applications. - Tsung-Yu Hsieh; Yasser El-Manzalawy; Yiwei Sun; Vasant G. Honavar (IDEAL (1), 2018)

Methodology for developing virtual platforms from power-aware to power- and thermal-aware at electronic system level. - Liang-Ying Lu; Tsung-Yu Hsieh; Pei-En Weng; Lih-Yih Chiou (IET Cyper-Phys. Syst.: Theory & Appl., 2018)

Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets. - 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 (IEEE Trans. Knowl. Data Eng., 2018)

Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection. - Tsung-Yu Hsieh; Yiwei Sun; Suhang Wang; Vasant G. Honavar (ICBK, 2019)

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. - Yiwei Sun; Suhang Wang; Tsung-Yu Hsieh; Xianfeng Tang; Vasant G. Honavar (IJCAI, 2019)

An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. - Chin-Teng Lin; Yu-Ting Liu; Chun-Hsiang Chuang; Nikhil R. Pal; Yang-Yin Lin; Tsung-Yu Hsieh; Chieh-Ning Fang; Zehong Cao (CoRR, 2019)

Node Injection Attacks on Graphs via Reinforcement Learning. - Yiwei Sun; Suhang Wang; Xianfeng Tang; Tsung-Yu Hsieh; Vasant G. Honavar (CoRR, 2019)

Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. - 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 (iFUZZY, 2020)

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. - Yiwei Sun; Suhang Wang; Xianfeng Tang; Tsung-Yu Hsieh; Vasant G. Honavar (WWW, 2020)

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals. - Tsung-Yu Hsieh; Suhang Wang; Yiwei Sun; Vasant G. Honavar (CoRR, 2020)

Impacts of day trading on the intraday pattern of market quality. - Tsung-Yu Hsieh; Ying-Fen Fu; Shih-Ya Ma (Int. J. Serv. Technol. Manag., 2020)

Functional Autoencoders for Functional Data Representation Learning. - Tsung-Yu Hsieh; Yiwei Sun; Suhang Wang; Vasant G. Honavar (SDM, 2021)

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. - Tsung-Yu Hsieh; Suhang Wang; Yiwei Sun; Vasant G. Honavar (WSDM, 2021)

SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. - Tsung-Yu Hsieh; Yiwei Sun; Xianfeng Tang; Suhang Wang; Vasant G. Honavar (WWW, 2021)

A Three-Dimensional Method for Analysis of the Body Mode of Classical Guitars Using a Laser Displacement Sensor. - Kuan-Cheng Su; Tsung-Yu Hsieh; Wei-Chih Lin; Fu-Li Hsiao; Tatyana Ryzhkova; Chii-Chang Chen (Sensors, 2024)