Quantum Mixed-State Self-Attention Network

no code implementations • 5 Mar 2024 • Fu Chen, Qinglin Zhao, Li Feng, Chuangtao Chen, Yangbin Lin, Jianhong Lin

This paper introduces a novel Quantum Mixed-State Self-Attention Network (QMSAN) for natural language processing tasks.

Quantum Machine Learning text-classification +1

Deep Joint Source-Channel Coding for Efficient and Reliable Cross-Technology Communication

no code implementations • 26 Jan 2024 • Shumin Yao, Xiaodong Xu, Hao Chen, Yaping Sun, Qinglin Zhao

Cross-technology communication (CTC) is a promising technique that enables direct communications among incompatible wireless technologies without needing hardware modification.

Decoder

Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble

no code implementations • 13 Jan 2024 • Chuangtao Chen, Qinglin Zhao, Mengchu Zhou, Zhimin He, Zhili Sun, Haozhen Situ

We introduce partial trace operations to enforce non-unitary and reduce the number of trainable parameters by using a parameter-sharing strategy and incorporating temporal information as an input in the backward process.

Denoising Generative Adversarial Network

A Sparse Cross Attention-based Graph Convolution Network with Auxiliary Information Awareness for Traffic Flow Prediction

no code implementations • 14 Dec 2023 • Lingqiang Chen, Qinglin Zhao, Guanghui Li, Mengchu Zhou, Chenglong Dai, Yiming Feng

The latter uses a cross-attention mechanism to construct dynamic adjacent matrices by fusing traffic data and embedded auxiliary data.

Attribute Decoder +1

MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis

no code implementations • 20 Feb 2020 • Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Guoping Gao, Fang Zheng, Rui Li, Zhihua Guo, Rong Ma, Jing Yang, Lan Zhang, Xiping Hu, Yumin Li, Bin Hu

The EEG dataset includes not only data collected using traditional 128-electrodes mounted elastic cap, but also a novel wearable 3-electrode EEG collector for pervasive applications.

EEG