SparseCore: stream ISA and processor specialization for sparse computation. - Gengyu Rao; Jingji Chen; Jason Yik; Xuehai Qian (ASPLOS, 2022)

Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms. - Jason Yik; Sanmukh R. Kuppannagari; Hanqing Zeng; Viktor K. Prasanna (HIPC, 2022)

VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. - Yu-Shun Hsiao; Siva Kumar Sastry Hari; Balakumar Sundaralingam; Jason Yik; Thierry Tambe; Charbel Sakr; Stephen W. Keckler; Vijay Janapa Reddi (IROS, 2023)

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. - Hyoukjun Kwon; Krishnakumar Nair; Jamin Seo; Jason Yik; Debabrata Mohapatra; Dongyuan Zhan; Jinook Song; Peter Capak; Peizhao Zhang; Peter Vajda; Colby R. Banbury; Mark Mazumder; et al. (MLSys, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - Jason Yik; Soikat Hasan Ahmed; Zergham Ahmed; Brian Anderson; Andreas G. Andreou; Chiara Bartolozzi; Arindam Basu; Douwe den Blanken; Petrut Bogdan; Sander M. Bohté; Younes Bouhadjar; Sonia M. Buckley; et al. (CoRR, 2023)

Grand Challenge on Neural Decoding for Motor Control of non-Human Primates. - Biyan Zhou; Pao-Sheng Vincent Sun; Jason Yik; Charlotte Frenkel; Vijay Janapa Reddi; Arindam Basu (BioCAS, 2024)

QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture. - Shvetank Prakash; Andrew Cheng; Jason Yik; Arya Tschand; Radhika Ghosal; Ikechukwu Uchendu; Jessica Quaye; Jeffrey Ma; Shreyas Grampurohit; Sofia Giannuzzi; Arnav Balyan; Fin Amin; et al. (IEEE Comput. Archit. Lett., 2025)