A general learning system based on neuron bursting and tonic firing. - Hin Wai Lui (CoRR, 2018)

Hessian Aware Quantization of Spiking Neural Networks. - Hin Wai Lui; Emre Neftci (ICONS, 2021)

HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. - Justin Morris; Hin Wai Lui; Kenneth Michael Stewart; Behnam Khaleghi; Anthony Thomas; Thiago Marback; Baris Aksanli; Emre Neftci; Tajana Rosing (DATE, 2022)

Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring. - Hin Wai Lui; Eric M. Gallo; Emre Neftci (BioCAS, 2023)

Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review. - Jamie Lohoff; Zhenming Yu; Jan Finkbeiner; Anil Kaya; Kenneth Michael Stewart; Hin Wai Lui; Emre Neftci (ICONS, 2023)

HyperSpikeASIC: Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks. - Tianqi Zhang; Justin Morris; Kenneth Michael Stewart; Hin Wai Lui; Behnam Khaleghi; Anthony Thomas; Thiago Goncalves-Marback; Baris Aksanli; Emre O. Neftci; Tajana Rosing (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

CuttleBot: Emulating Cuttlefish Behavior and Intelligence in a Novel Robot Design. - Michael A. Pfeiffer; Sriskandha Kandimalla; Jiahe Liu; Katherine Hsu; Eleanore J. Kirshner; Alina Yuan; Hin Wai Lui; Jeffrey L. Krichmar (SAB, 2024)

STRMs: Spatial Temporal Reasoning Models for Vision-Based Localization Rivaling GPS Precision. - Hin Wai Lui; Jeffrey L. Krichmar (CoRR, 2025)

The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion. - Andrew Qiu; Shubham Barhate; Hin Wai Lui; Runze Su; Rafael Rios Müller; Kungang Li; Ling Leng; Han Sun; Shayan Ehsani; Zhifang Liu (CoRR, 2025)