Cut mask optimization for multi-patterning directed self-assembly lithography. - Wachirawit Ponghiran; Seongbo Shim; Youngsoo Shin (DATE, 2017)

Clock tree optimization through selective airgap insertion. - Daijoon Hyun; Wachirawit Ponghiran; Youngsoo Shin (ISQED, 2017)

A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. - Saima Sharmin; Priyadarshini Panda; Syed Shakib Sarwar; Chankyu Lee; Wachirawit Ponghiran; Kaushik Roy 001 (IJCNN, 2019)

Reinforcement Learning with Low-Complexity Liquid State Machines. - Wachirawit Ponghiran; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2019)

Hybrid Analog-Spiking Long Short-Term Memory for Energy Efficient Computing on Edge Devices. - Wachirawit Ponghiran; Kaushik Roy 001 (DATE, 2021)

Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. - Wachirawit Ponghiran; Kaushik Roy 001 (AAAI, 2022)

Event-based Temporally Dense Optical Flow Estimation with Sequential Neural Networks. - Wachirawit Ponghiran; Chamika Mihiranga Liyanagedera; Kaushik Roy 001 (CoRR, 2022)

Event-based Temporally Dense Optical Flow Estimation with Sequential Learning. - Wachirawit Ponghiran; Chamika Mihiranga Liyanagedera; Kaushik Roy 001 (ICCV, 2023)

Low-Power Real-Time Sequential Processing with Spiking Neural Networks. - Chamika Mihiranga Liyanagedera; Manish Nagaraj; Wachirawit Ponghiran; Kaushik Roy 001 (ISCAS, 2023)

FEDORA: A Flying Event Dataset fOr Reactive behAvior. - Amogh Joshi 002; Wachirawit Ponghiran; Adarsh Kosta; Manish Nagaraj; Kaushik Roy 001 (IROS, 2024)

Unlocking the Potential of Spiking Neural Networks: Understanding the What, Why, and Where. - Buddhi Wickramasinghe; Sayeed Shafayet Chowdhury; Adarsh Kumar Kosta; Wachirawit Ponghiran; Kaushik Roy 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks. - Prajna G. Malettira; Shubham Negi; Wachirawit Ponghiran; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2025)