Haokai Zhang

According to our database, Haokai Zhang authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

An adaptive decoupling learning system informed by the brain functional structure for EEG decoding.

Pengrui Li, Maoqin Peng, Haokai Zhang, Shihong Liu, Dongrui Gao, Yun Qin, Dingming Wu, Tiejun Liu

Neural Networks, 2026

An efficient brain-heart coupling learning system for emotion recognition.

Dongrui Gao, Liu Deng, Zongyao Peng, Qinghua Wang, Haokai Zhang, Shihong Liu, Dingming Wu, Pengrui Li

Neural Networks, 2026

Alpha-band temporal variability in the Fronto-parietal network facilitates active recovery from mental fatigue.

Maoqin Peng, Wei Zhao, Pengrui Li, Haokai Zhang, Liu Deng, Yun Qin, Tiejun Liu

NeuroImage, 2026

2025

A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories.

Haojun Yu, Youcheng Li, Zihan Niu, Nan Zhang, Xuantong Gong, Huan Li, Zhiying Zou, Haifeng Qi, Zhenxiao Cao, Zijie Lan, Xingjian Yuan, Jiating He, Haokai Zhang, Shengtao Zhang, Zicheng Wang, Dong Wang, Ziwei Zhao, Congying Chen, Yong Wang, Wangyan Qin, Qingli Zhu, Liwei Wang

CoRR, September, 2025

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph.

Shengtao Zhang, Haokai Zhang, Shiqi Lou, Zicheng Wang, Zinan Zeng, Yilin Wang, Minnan Luo

CoRR, April, 2025

A Comprehensive Adaptive Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Fatigue Driving Detection.

Dongrui Gao, Shihong Liu, Yingxian Gao, Pengrui Li, Haokai Zhang, Manqing Wang, Yan Shen, Lutao Wang, Yongqing Zhang

IEEE Trans. Fuzzy Syst., January, 2025

A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition.

Dongrui Gao, Mengwen Liu, Haokai Zhang, Manqing Wang, Hongli Chang, Gaoxiang Ouyang, Shihong Liu, Pengrui Li

Neural Networks, 2025

A coupling of common-private topological patterns learning approach for cross-subject emotion recognition.

Haokai Zhang, Pengrui Li, Hongli Chang, Shihong Liu, Yun Qin, Jiaxin Xie, Manqing Wang, Dongrui Gao, Dingming Wu

Biomed. Signal Process. Control., 2025

TSMNet: A comprehensive network based on spatio-temporal representations for SSVEP classification.

Liu Deng, Pengrui Li, Haokai Zhang, Qingyuan Zheng, Shihong Liu, Xinmin Ding, Manqing Wang, Dongrui Gao

Biomed. Signal Process. Control., 2025

An EEG-based single-channel dual-stream automatic sleep staging network with transfer learning.

Shaofei Ying, Pengrui Li, Jiping Chen, Wenpeng Cao, Haokai Zhang, Dongrui Gao, Tiejun Liu

Appl. Soft Comput., 2025

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection.

Haokai Zhang, Shengtao Zhang, Zijian Cai, Heng Wang, Ruixuan Zhu, Zinan Zeng, Minnan Luo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Adaptive Gaussian Splatting with Perceptual Split Control and Multi-Scale Non-Dominant Pruning.

Zekun Yang, Zhiyuan You, Mengyuan Zhu, Yunwei Zhang, Shaoan Qi, Haokai Zhang

Proceedings of the 2025 9th International Conference on Vision, 2025

2024

MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts.

Zinan Zeng, Sen Ye, Zijian Cai, Heng Wang, Yuhan Liu, Haokai Zhang, Minnan Luo

CoRR, 2024

A Framework for Mining and Applying Alarm Rules Based on LLM.

Guoqing Li, Qian Zhang, Haijun Su, Mengyuan Zhu, Mengqi Liu, Haokai Zhang

Proceedings of the 8th IEEE International Conference on Vision, 2024

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface.

Dongrui Gao, Haokai Zhang, Pengrui Li, Tian Tang, Shihong Liu, Zhihong Zhou, Shaofei Ying, Ye Zhu, Yongqing Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue.

Pengrui Li, Yongqing Zhang, Shihong Liu, Liqi Lin, Haokai Zhang, Tian Tang, Dongrui Gao

Appl. Soft Comput., October, 2023

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks.

Haokai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang

CoRR, 2023