1 citations · 1 across the 7 of their papers we have counts for
7 papers
FourierCompress: Layer-Aware Spectral Activation Compression for Efficient and Accurate Collaborative LLM Inference
Jian Ma, Xinchen Lyu, Jun Jiang +4
Collaborative large language model (LLM) inference enables real-time, privacy-preserving AI services on resource-constrained edge devices by partitioning computational workloads be…
DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization
Aleksandar Pramov, Jiangqin Ma, Bina Patel
Claim normalization is an integral part of any automatic fact-check verification system. It parses the typically noisy claim data, such as social media posts into normalized claims…
SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
Jian Ma, Xinchen Lyu, Jun Jiang +3
Fine-tuning large language models (LLMs) on private, on-device data can empower tailored personalized AI agents. However, fine-tuning LLMs on resource-constrained edge devices face…
Comprehensive Modeling Approaches for Forecasting Bitcoin Transaction Fees: A Comparative Study
Jiangqin Ma, Erfan Mahmoudinia
Transaction fee prediction in Bitcoin's ecosystem represents a crucial challenge affecting both user costs and miner revenue optimization. This study presents a systematic evaluati…
AlgoRxplorers | Precision in Mutation: Enhancing Drug Design with Advanced Protein Stability Prediction Tools
Karishma Thakrar, Jiangqin Ma, Max Diamond +1
Predicting the impact of single-point amino acid mutations on protein stability is essential for understanding disease mechanisms and advancing drug development. Protein stability,…
Fine-Tuning Stable Diffusion XL for Stylistic Icon Generation: A Comparison of Caption Size
Youssef Sultan, Jiangqin Ma, Yu-Ying Liao
In this paper, we show different fine-tuning methods for Stable Diffusion XL; this includes inference steps, and caption customization for each image to align with generating image…
Deep Image-to-Recipe Translation
Jiangqin Ma, Bilal Mawji, Franz Williams
The modern saying, "You Are What You Eat" resonates on a profound level, reflecting the intricate connection between our identities and the food we consume. Our project, Deep Image…