Keming Fan

According to our database, Keming Fan authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HyperMetric: Efficient Hyperdimensional Computing With Metric Learning for Robust Edge Intelligence.

Weihong Xu, Sean Fuhrman, Keming Fan, Sumukh Pinge, Wei-Chen Chen, Tajana Rosing

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2026

RAPID-Graph: Recursive All-Pairs Shortest Paths Using Processing-in-Memory for Dynamic Programming on Graphs.

Yanru Chen, Zheyu Li, Keming Fan, Runyang Tian, John Hsu, Weihong Xu, Minxuan Zhou, Tajana Rosing

CoRR, January, 2026

2025

FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash.

Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan, Prasanna Venkatesan Ravindran, Tanvir H. Pantha, Po-Kai Hsu, Zheyu Li, Weihong Xu, Zihan Xia, Flavio Ponzina, Winston Chern, Taeyoung Song, Priyankka Gundlapudi Ravikumar, Mengkun Tian, Lance Fernandes, Huy Tran, Hari Jayasankar, Hang Chen, Chinsung Park, Amrit Garlapati, Kijoon Kim, Jongho Woo, Suhwan Lim, Kwangsoo Kim, Wanki Kim, Daewon Ha, Duygu Kuzum, Shimeng Yu, Sourav Dutta, Asif Islam Khan, Tajana Rosing, Mingu Kang

CoRR, October, 2025

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, Mingu Kang

CoRR, July, 2025

FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash.

Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan, Prasanna Venkatesan Ravindran, Tanvir H. Pantha, Po-Kai Hsu, Zheyu Li, Weihong Xu, Zihan Xia, Flavio Ponzina, Winston Chern, Taeyoung Song, Priyankka Gundlapudi Ravikumar, Mengkun Tian, Lance Fernandes, Huy Tran, Hari Jayasankar, Hang Chen, Chinsung Park, Amrit Garlapati, Kijoon Kim, Jongho Woo, Suhwan Lim, Kwangsoo Kim, Wanki Kim, Daewon Ha, Duygu Kuzum, Shimeng Yu, Sourav Dutta, Asif Khan, Tajana Rosing, Mingu Kang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Clo-HDnn: Continual On-Device Learning Accelerator with Hyperdimensional Computing via Progressive Search.

Chang Eun Song, Weihong Xu, Keming Fan, Soumil Jain, Gopabandhu Hota, Haichao Yang, Leo Liu, Meng-Fan Chang, Carlos H. Diaz, Gert Cauwenberghs, Tajana Rosing, Mingu Kang

Proceedings of the IEEE Hot Chips 37 Symposium, 2025

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

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

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

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024