Jiaming (Jamin) Cheng

After completing my B.S. in Computer and Information Science (cum laude) at The Ohio State University in 2024, I have continued doing research in the group of Prof. Rajiv Ramnath and Prof. Brijesh Soni.

I care about making capable AI usable without a data center behind it — running on the devices people already carry, and without shipping their data elsewhere to do it.

My work centers on AIoT, efficient ML, and on-device LLM inference — making large language models run under tight compute, memory, and energy budgets through structured pruning, low-bit quantization, knowledge distillation, and reproducible on-device deployment benchmarks.

I am applying to PhD programs for Fall 2027, with interests in AIoT, efficient ML, and on-device LLM inference.

news

Oct 01, 2025	SPICE accepted to IEEE CCNC 2026 as an oral paper.

selected publications

PEARC

EPIC: Efficient Pruning for Inference on Constrained Devices

Subhransu Das, Jiaming Cheng, Aniruddha Rakshit, and 2 more authors

In Practice and Experience in Advanced Research Computing (PEARC ’25), 2025

Bib

@inproceedings{das2025epic,
  title = {{EPIC}: Efficient Pruning for Inference on Constrained Devices},
  author = {Das, Subhransu and Cheng, Jiaming and Rakshit, Aniruddha and Boubin, Jayson and Ramnath, Rajiv},
  booktitle = {Practice and Experience in Advanced Research Computing (PEARC '25)},
  year = {2025},
}

CCNC

SPICE: Structured Pruning for Inference on Constrained Edge Devices

Subhransu Das, Jiaming Cheng, Aniruddha Rakshit, and 3 more authors

In IEEE Consumer Communications & Networking Conference (CCNC), 2026

Bib

@inproceedings{das2026spice,
  title = {{SPICE}: Structured Pruning for Inference on Constrained Edge Devices},
  author = {Das, Subhransu and Cheng, Jiaming and Rakshit, Aniruddha and Soni, Brijesh and Boubin, Jayson and Ramnath, Rajiv},
  booktitle = {IEEE Consumer Communications \& Networking Conference (CCNC)},
  year = {2026},
}

PEARC

Phase-Wise Analysis of LLM Inference Acceleration on GPU, CPU, and Edge Device

Subhransu Das, Jiaming Cheng, Swathi Vallabhajosyula, and 2 more authors

In Practice and Experience in Advanced Research Computing (PEARC ’26), 2026

To appear

Bib

@inproceedings{das2026phasewise,
  title = {Phase-Wise Analysis of {LLM} Inference Acceleration on {GPU}, {CPU}, and Edge Device},
  author = {Das, Subhransu and Cheng, Jiaming and Vallabhajosyula, Swathi and Soni, Brijesh and Ramnath, Rajiv},
  booktitle = {Practice and Experience in Advanced Research Computing (PEARC '26)},
  year = {2026},
  note = {To appear},
}