Hu, Bin
Nanjing General Hospital of Nanjing Military Command · Nanjing University
14 papers on CoChatORCID 0000-0003-3514-5413
Most cited papers
- Verified
EEG Based Emotion Recognition: A Tutorial and Review
Li, X., Zhang, Y., Tiwari, P., Song, D., Hu, B., Yang, M., Zhao, Z., Kumar, N., & Marttinen, P. (2023) · ACM Computing Surveys
Emotion and Mood RecognitionEEG and Brain-Computer Interfaces
Cited by 508
- Verified
A multi-modal open dataset for mental-disorder analysis
Cai, H., Yuan, Z., Gao, Y., Sun, S., Li, N., Tian, F., Xiao, H., Li, J., Yang, Z., Li, X., et al. (2022) · Scientific Data
Emotion and Mood RecognitionEEG and Brain-Computer Interfaces
Cited by 293
- Verified
SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG
Xing, X., Li, Z., Xu, T., Shu, L., Hu, B., & Xu, X. (2019) · Frontiers in Neurorobotics
Emotion and Mood RecognitionEEG and Brain-Computer Interfaces
Cited by 269
- Verified
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Rao, H., Xu, S., Hu, X., Cheng, J., & Hu, B. (2021) · Information Sciences
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 235
- Verified
Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction
Li, Y., Liu, Y., Guo, Y.-Z., Liao, X.-F., Hu, B., & Yu, T. (2022) · IEEE Transactions on Cybernetics
EEG and Brain-Computer InterfacesEpilepsy research and treatment
Cited by 196
- Verified
Effect of Antipsychotic Medication Alone vs Combined With Psychosocial Intervention on Outcomes of Early-Stage Schizophrenia: A Randomized, 1-Year Study
Guo, X., Zhai, J., Liu, Z., Fang, M., Wang, B., Wang, C., Hu, B., Sun, X., Lv, L., Lu, Z., et al. (2010) · Archives of General Psychiatry
Schizophrenia research and treatmentPsychiatric care and mental health services
Cited by 142
- Verified
Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients
Busch, F., Hoffmann, L., Xu, L., Zhang, L. J., Hu, B., García-Juárez, I., Toapanta-Yanchapaxi, L. N., Gorelik, N., Gorelik, V., Rodriguez-Granillo, G. A., et al. (2025) · JAMA Network Open
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 124
- Verified
Acoustic differences between healthy and depressed people: a cross-situation study
Wang, J., Zhang, L., Liu, T., Pan, W., Hu, B., & Zhu, T. (2019) · BMC Psychiatry
Emotion and Mood RecognitionVoice and Speech Disorders
Cited by 98
- Verified
Quantum beetle antennae search: a novel technique for the constrained portfolio optimization problem
Khan, A. T., Cao, X., Li, S., Hu, B., & Katsikis, V. N. (2021) · Science China Information Sciences
Metaheuristic Optimization Algorithms ResearchRisk and Portfolio Optimization
Cited by 98
- Verified
Resting-state time-varying analysis reveals aberrant variations of functional connectivity in autism
Yao, Z., Hu, B., Xie, Y., Zheng, F., Liu, G., Chen, X., & Zheng, W. (2016) · Frontiers in Human Neuroscience
Functional Brain Connectivity StudiesAutism Spectrum Disorder Research
Cited by 74
- Verified
Study on feature selection methods for depression detection using three-electrode EEG data
Cai, H., Chen, Y., Han, J., Zhang, X., & Hu, B. (2018) · Interdisciplinary Sciences: Computational Life Sciences
EEG and Brain-Computer InterfacesEmotion and Mood Recognition
Cited by 68
- Verified
Dynamic alignment and fusion of multimodal physiological patterns for stress recognition
Zhang, X., Wei, X., Zhou, Z., Zhao, Q., Zhang, S., Yang, Y., Li, R., & Hu, B. (2024) · IEEE Transactions on Affective Computing
Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control
Cited by 38
- Verified
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Hu, B., Zhao, C., Zhang, P., Zhou, Z., Yang, Y., Xu, Z., & Liu, B. (2023) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 15
- Verified
Decider: A Dual-System Rule-Controllable Decoding Framework for Language Generation
Xu, C., Lan, T., Ji, Y., Yu, C., Wang, W., Gao, J., Dong, Q., Qian, K., Li, P., Bi, W., et al. (2025) · IEEE Transactions on Knowledge and Data Engineering
Topic ModelingNatural Language Processing Techniques
Cited by 2
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