Author

Bonan Zhang

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Open access Aug 2026

Collaborative explainable ai for EEG mental health monitoring with constrained QA-Tuned LLM alignment

This study proposes a collaborative explainable AI framework for EEG mental health monitoring with constrained question-and-answer (QA) tuned LLM alignment, which builds a smooth transformation path from raw EEG signals to evidence, and constructs a structured QA dataset for the instruction fine-tuning of LLMs.

Zian Ding, Fu-Sen Guo, Bonan Zhang et al. · Journal of King Saud Univers... · 1 citation

Preprint Aug 2026

MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding

This work systematically study MoE designs for vision encoder scaling and finds that fine-grained MoE topologies yield substantial gains over both dense and standard MoE counterparts, and proposes an auxiliary-loss-free balancing variant for better expert utilization, and designs a specialized MoE kernel to mitigate in...

Bonan Zhang, Shiyu Dong, Quan Hung Tran et al. · 1 citation