Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. - Xu Li 003; Lin Chen 038; Kwame S. Kutten; Can Ceritoglu; Yue Li; Ningdong Kang; John T. Hsu; Ye Qiao; Hongjiang Wei; Chunlei Liu 004; Michael I. Miller; Susumu Mori; et al. (NeuroImage, 2019)

A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition. - Ye Qiao; Mohammed Alnemari; Nader Bagherzadeh (ICIT, 2022)

Support for Stock Trend Prediction Using Transformers and Sentiment Analysis. - Harsimrat Kaeley; Ye Qiao; Nader Bagherzadeh (CoRR, 2023)

BNN An Ideal Architecture for Acceleration With Resistive in Memory Computation. - Andrew Ding; Ye Qiao; Nader Bagherzadeh (IEEE Trans. Emerg. Top. Comput., 2023)

Generic and Scalable Detection of Risky Transactions Using Density Flows: Applications to Financial Networks. - Guang Li 007; Ye Qiao; Jieying Zhou; Weigang Wu (APWeb/WAIM (3), 2024)

MicroNAS: Zero-Shot Neural Architecture Search for MCUs. - Ye Qiao; Haocheng Xu; Yifan Zhang; Sitao Huang (DATE, 2024)

TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search. - Ye Qiao; Haocheng Xu; Sitao Huang (CoRR, 2024)

RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement. - Jingcheng Li; Ye Qiao; Haocheng Xu; Sitao Huang (CoRR, 2024)

MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs. - Ye Qiao; Haocheng Xu; Yifan Zhang; Sitao Huang (CoRR, 2024)

Optimized Spatial Architecture Mapping Flow for Transformer Accelerators. - Haocheng Xu; Faraz Tahmasebi; Ye Qiao; Hongzheng Tian; Hyoukjun Kwon; Sitao Huang (CoRR, 2024)

TeLLMe: An Energy-Efficient Ternary LLM Accelerator for Prefilling and Decoding on Edge FPGAs. - Ye Qiao; Zhiheng Chen; Yifan Zhang; Yian Wang; Sitao Huang (CoRR, 2025)

COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference. - Ye Qiao; Zhiheng Chen; Yian Wang; Yifan Zhang; Yunzhe Deng; Sitao Huang (CoRR, 2025)