Efficient Open Modification Spectral Library Searching in High-Dimensional Space with Multi-Level-Cell Memory. - Keming Fan; Wei-Chen Chen; Sumukh Pinge; H.-S. Philip Wong; Tajana Rosing (DAC, 2024)

FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing. - Haichao Yang; Chang Eun Song; Weihong Xu; Behnam Khaleghi; Uday Mallappa; Monil Shah; Keming Fan; Mingu Kang; Tajana Rosing (CoRR, 2024)

SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis. - Keming Fan; Ashkan Moradifirouzabadi; Xiangjin Wu; Zheyu Li; Flavio Ponzina; Anton Persson; Eric Pop; Tajana Rosing; Mingu Kang (CoRR, 2024)

Clo-HDnn: A 4.66 TFLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-efficient Hyperdimensional Computing via Progressive Search. - Chang Eun Song; Weihong Xu; Keming Fan; Soumil Jain; Gopabandhu Hota; Haichao Yang; Leo Liu; Kerem Akarvardar; Meng-Fan Chang; Carlos H. Diaz; Gert Cauwenberghs; Tajana Rosing; et al. (CoRR, 2025)