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Cheng-Wei Zhou

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#natural language process... Preprint Oct 2026

ForkGRPO: Efficient Exploration and Fine-Grained Credit Assignment for Diffusion Language Models

Diffusion large language models (dLLMs) have advanced rapidly, yet strengthening their reasoning through reinforcement learning (RL) remains an open challenge. Any-order generation can suffer from entropy degradation, which narrows the reasoning paths available for exploration. Recent work mitigates this issue by apply...

Zhao-Yang Jia, Cheng-Wei Zhou, G. Datta et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Hardware-Aware Learned Representation Compression for Distributed In-Sensor Vision

OASIS, a distributed in-sensor vision framework that uses a lightweight encoder to generate compact, task-relevant representations before off-chip transmission, is presented, demonstrating a practical hardware-algorithm co-design path for communication-efficient in-sensor vision.

Cheng-Wei Zhou, Abu Masum, Xu-Ming Chen et al. · 0 citations

#machine learning Preprint Sep 2026

BRIDGE-EEG: Bridging Self-Supervised Pretraining and Efficient Deployment for Cross-Dataset EEG Classification

BRIDGE-EEG, an efficient multi-task EEG classification pipeline that preserves the benefits of pretraining while reducing model size is introduced and six benchmarks spanning abnormality detection, motor imagery, and emotion recognition are evaluated.

Meghna Roy Chowdhury, Cheng-Wei Zhou, Hao-Tian Yu et al. · 0 citations