Word Segmentation Without Statistics. - Felix Wang; Toben H. Mintz (CogSci, 2013)

Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application. - Ian Karlin; Abhinav Bhatele; Jeff Keasler; Bradford L. Chamberlain; Jonathan D. Cohen 001; Zachary DeVito; Riyaz Haque; Dan Laney; Edward Luke; Felix Wang; David F. Richards; Martin Schulz 001; et al. (IPDPS, 2013)

Characterizing the Difference Between Learning about Adjacent and Non-adjacent Dependencies. - Felix Wang; Toben H. Mintz (CogSci, 2015)

Cross-situational Word Learning Results in Explicit Memory Representations. - Felix Wang; Toben H. Mintz (CogSci, 2015)

Statistical Structures in Artificial languages Prime Relative Clause Attachment Biases in English. - Felix Wang; Mythili Menon; Elsi Kaiser (CogSci, 2015)

Simulation Tool for Asynchronous Cortical Streams (STACS): Interfacing with Spiking Neural Networks. - Felix Wang (Complex Adaptive Systems, 2015)

A Spike-Timing Neuromorphic Architecture. - Aaron J. Hill; Jonathon W. Donaldson; Fredrick H. Rothganger; Craig M. Vineyard; David R. Follett; Pamela L. Follett; Michael R. Smith 002; Stephen J. Verzi; William Severa; Felix Wang; James B. Aimone; John H. Naegle; et al. (ICRC, 2017)

Iambic Bias in Parsing Syllable Sequences by English Speakers. - Ryan Budnick; Felix Wang (CogSci, 2018)

Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification. - Felix Wang; Tu-Thach Quach; Jason Wheeler; James B. Aimone; Conrad D. James (IEEE Trans. Inf. Forensics Secur., 2018)

Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. - Suma George Cardwell; Craig M. Vineyard; William Severa; Frances S. Chance; Fredrick H. Rothganger; Felix Wang; Srideep Musuvathy; Corinne Teeter; James B. Aimone (SMC, 2020)

Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. - Frances S. Chance; James B. Aimone; Srideep Musuvathy; Michael R. Smith 002; Craig M. Vineyard; Felix Wang (Frontiers Comput. Neurosci., 2020)

Distributed Localization with Grid-based Representations on Digital Elevation Models. - Felix Wang; Corinne Teeter; Sarah Luca; Srideep Musuvathy; James Bradley Aimone (ICONS, 2022)

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. - Craig M. Vineyard; Suma Cardwell; Frances S. Chance; Srideep Musuvathy; Fred Rothganger; William Severa; John Darby Smith; Corinne Teeter; Felix Wang; James B. Aimone (NICE, 2022)

Localization through Grid-basedEncodings on Digital Elevation Models. - Felix Wang; Corinne Teeter; Sarah Luca; Srideep Musuvathy; Brad Aimone (NICE, 2022)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

Distributed Compressed Sparse Row Format for Spiking Neural Network Simulation, Serialization, and Interoperability. - Felix Wang (CoRR, 2023)

Decomposing spiking neural networks with Graphical Neural Activity Threads. - Bradley H. Theilman; Felix Wang; Fred Rothganger; James B. Aimone (CoRR, 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. - Daniel Bogdoll; Iramm Hamdard; Lukas Namgyu Rößler; Felix Geisler; Muhammed Bayram; Felix Wang; Jan Imhof; Miguel de Campos; Anushervon Tabarov; Yitian Yang; Martin Gontscharow; Hanno Gottschalk; et al. (ECCV Workshops (7), 2024)

A Spiking Neuromorphic Algorithm for Markov Reward Processes. - Sarah Luca; Felix Wang; Srideep Musuvathy (ICONS, 2024)

Using STACS as a High-Performance Simulation Backend for Fugu. - Felix Wang; William Severa (ICONS, 2024)

Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. - Shruti R. Kulkarni; Anika Tabassum; Seung-Hwan Lim; Catherine D. Schuman; Bradley H. Theilman; Fred Rothganger; Felix Wang; James B. Aimone (NICE, 2024)

AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. - Daniel Bogdoll; Iramm Hamdard; Lukas Namgyu Rößler; Felix Geisler; Muhammed Bayram; Felix Wang; Jan Imhof; Miguel de Campos; Anushervon Tabarov; Yitian Yang; Hanno Gottschalk; J. Marius Zöllner (CoRR, 2024)

Scaling neural simulations in STACS. - Felix Wang; Shruti R. Kulkarni; Bradley H. Theilman; Fredrick H. Rothganger; Catherine D. Schuman; Seung-Hwan Lim; James B. Aimone (Neuromorph. Comput. Eng., 2024)

Terrain-Relative Navigation With Neuro-Inspired Elevation Encoding. - Kristen Michaelson; Felix Wang; Renato Zanetti (IEEE Trans. Aerosp. Electron. Syst., 2024)

On the path toward brain-scale simulations. - Felix Wang; James B. Aimone (Nat. Comput. Sci., 2024)

Benchmarking Spiking Network Partitioning Methods on Loihi 2. - William Severa; Felix Wang; Yang Ho; Fred Rothganger; Anurag Reddy Daram; Efrain Gonzalez (ACM Great Lakes Symposium on VLSI, 2025)