Haohui Jia

According to our database, Haohui Jia authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks.

Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara

CoRR, February, 2026

RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs.

Haohui Jia, Zheng Chen, Lingwei Zhu, Xu Cao, Yasuko Matsubara, Takashi Matsubara, Yasushi Sakurai

CoRR, February, 2026

2024

Self-enhanced multi-task and split federated learning framework for RIS-aided cell-free systems.

Taisei Urakami, Haohui Jia, Na Chen, Minoru Okada

Internet Things, 2024

2023

Spatial attention and quantization-based contrastive learning framework for mmWave massive MIMO beam training.

Haohui Jia, Na Chen, Taisei Urakami, Hui Gao, Minoru Okada

EURASIP J. Wirel. Commun. Netw., December, 2023

IRS-Assisted mmWave Massive MIMO Systems Beam Training with Hybrid CNN Encoder-based Transformer Deep Learning Model.

Taisei Urakami, Haohui Jia, Na Chen, Minoru Okada

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

A Two-View EEG Representation for Brain Cognition by Composite Temporal-Spatial Contrastive Learning.

Zheng Chen, Lingwei Zhu, Haohui Jia, Takashi Matsubara

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Utilizing Contrastive Predictive Coding for the Detection of Epilepsy in EEG Data.

Zihang Wang, Guangxian Zhu, Haohui Jia, Kenta T. Suzuki, Dafang Zhao, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Individual-Driven Spiking-Mixer Deep Learning Model for IRS-Assisted mmWave Systems Beam Training.

Taisei Urakami, Haohui Jia, Dafang Zhao, Na Chen, Minoru Okada

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2022

Intelligent Reflecting Surface Aided Network under Interference toward 6G Applications.

Na Chen, Chengbo Liu, Haohui Jia, Minoru Okada

IEEE Netw., 2022

Non-deterministic Quantization for mmWave Beam Prediction.

Haohui Jia, Na Chen, Renyuan Zhang, Minoru Okada

Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Non-deterministic Sparse Feature Learning for Reliable Beam Prediction in mmWave Massive MIMO Systems.

Haohui Jia, Chengbo Liu, Zaoshi Wang, Na Chen, Minoru Okada

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Feature Quantization Convolutional Neural Networks for CSI Feedback in Massive MIMO Systems.

Haohui Jia, Na Chen, Hui Gao, Minoru Okada

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Memory Shared Spatial Attention Neural Network for Reliable Beam Prediction.

Haohui Jia, Na Chen, Minoru Okada

Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks.

Haohui Jia, Ziwei Yang, Pei Gao, Man Wu, Chen Li, Yirong Kan, Renyuan Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2019

Joint Sparse Channel Estimation in Downlink NOMA System.

Haohui Jia, Na Chen, Takeshi Higashino, Minoru Okada

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019