A Framework for Task Mapping onto Heterogeneous Platforms. - Ta-Yang Wang; Ajitesh Srivastava; Viktor K. Prasanna (HPEC, 2020)

MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction. - Ajitesh Srivastava; Ta-Yang Wang; Pengmiao Zhang; César Augusto Fonticielha De Rose; Rajgopal Kannan; Viktor K. Prasanna (PAKDD (2), 2020)

Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. - Ta-Yang Wang; William Chang; Ajitesh Srivastava; Rajgopal Kannan; Viktor K. Prasanna (HiPC, 2021)

Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. - Ta-Yang Wang; Hongkuan Zhou; Rajgopal Kannan; Ananthram Swami; Viktor K. Prasanna (GNNet@CoNEXT, 2022)

Towards Programmable Memory Controller for Tensor Decomposition. - Sasindu Wijeratne; Ta-Yang Wang; Rajgopal Kannan; Viktor K. Prasanna (DATA, 2022)

C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction. - Pengmiao Zhang; Ajitesh Srivastava; Ta-Yang Wang; César A. F. De Rose; Rajgopal Kannan; Viktor K. Prasanna (Int. J. Data Sci. Anal., 2022)

Training Heterogeneous Graph Neural Networks using Bandit Sampling. - Ta-Yang Wang; Rajgopal Kannan; Viktor K. Prasanna (CIKM, 2023)

Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA. - Sasindu Wijeratne; Ta-Yang Wang; Rajgopal Kannan; Viktor K. Prasanna (FPGA, 2023)

Heterogeneous Graph Neural Network based on Bandit Sampling for Attribute Completion. - Ta-Yang Wang; Rajgopal Kannan; Viktor K. Prasanna (ICKG, 2024)