Ta-Yang Wang is a fifth-year PhD candidate in the Department of Computer Science at the University of Southern California. He earned a Bachelor of Science degree in Mathematics from National Taiwan University.  Ta-Yang is a member of the Data Science Lab led by Professor Viktor Prasanna. His current research interests lie in the fields of Data Science, Graph Neural Networks and the Application of Machine Learning. 

• PhD in Computer Science, University of Southern California,  2019 – (Expected completion 2024)

• Bachelor of Science in Mathematics, National Taiwan University, 2014 – 2018 

• Wang, Ta-Yang; Kannan, Rajgopal; Prasanna, Viktor, Training Heterogeneous Graph Neural Networks using Bandit Sampling, The 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023

• Sasindu, Wijeratne; Wang, Ta-Yang; Kannan, Rajgopal; Prasanna, Viktor, Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA, The 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA), 2023

• Wang, Ta-Yang; Zhou, Hongkuan; Kannan, Rajgopal; Swami, Ananthram; Prasanna, Viktor, Throughput Optimization in Heterogeneous MIMO Networks: A GNN-based Approach, The Graph Neural Networking Workshop (GNNet), 2022

• Sasindu, Wijeratne; Wang, Ta-Yang; Kannan, Rajgopal; Prasanna, Viktor, Towards Programmable Memory Controller for Tensor Decomposition, The 11th International Conference on Data Science, Technology and Applications (DATA), 2022

• Wang, Ta-Yang; Chang, William; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor, Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms, The 28th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2021

• Zhang, Pengmiao; Srivastava, Ajitesh; Wang, Ta-Yang; De Rose, Cesar Augusto F; Kannan, Rajgopal; Prasanna, Viktor, C-MemMAP: Clustering-driven Compact, Adaptable, and Generalizable Meta-LSTM Models for Memory Access Prediction, The International Journal of Data Science and Analytics (JDSA), 2021

• Wang, Ta-Yang; Srivastava, Ajitesh; Prasanna, Viktor, A Framework for Task Mapping onto Heterogeneous Platforms, IEEE High Performance Extreme Computing Conference (HPEC), 2020

• Srivastava, Ajitesh; Wang, Ta-Yang; Zhang, Pengmiao; De Rose, Cesar Augusto F; Kannan, Rajgopal; Prasanna, Viktor, MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction, The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020