Shenghua Zhong

14 papers A* 4A 1B 4Journal 1Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mutual-Guided Expert Collaboration for Cross-Subject EEG Classification.
CoRR
Zhi Zhang, Yan Liu, Zhejing Hu, Gong Chen, Jiannong Cao, Shenghua Zhong, Sean Fontaine, Changhong Jing, Shuqiang Wang
2025 B conf
Identity-domain Removal for Robust EEG-based Emotion Recognition.
ICMR
Wenchang Deng, Shenghua Zhong, Rongrong Lu, Yi Wang
2025 A* conf
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs.
IJCAI
Weixing Liu, Shenghua Zhong
2025 — conf
Multi-dimension Full Scene Integrated Visual Emotion Analysis Network.
CVM (3)
Weiye Peng, Shenghua Zhong
2025 — conf
PGN: Dynamic Prototype Learning in Local-Global Graph Networks for Cross-Task EEG Adaption.
BIBM
Yi Wang, Tao Ma, Jiaxi Wang, Shenghua Zhong, Jianqiang Li
2024 A* conf
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition.
AAAI
Zhi Zhang, Shenghua Zhong, Yan Liu
2024 A* conf
Effective Optimization of Root Selection Towards Improved Explanation of Deep Classifiers.
ACM Multimedia
Xin Zhang, Shenghua Zhong, Jianmin Jiang
2024 B conf
Fingerprinting in EEG Model IP Protection Using Diffusion Model.
ICMR
Tianyi Wang, Shenghua Zhong
2024 B conf
MarginFinger: Controlling Generated Fingerprint Distance to Classification boundary Using Conditional GANs.
ICMR
Weixing Liu, Shenghua Zhong
2024 A* conf
Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model.
AAAI
Zhejing Hu, Yan Liu, Gong Chen, Xiao Ma, Shenghua Zhong, Qianwen Luo
2024 A conf
Sal-Guide Diffusion: Saliency Maps Guide Emotional Image Generation through Adapter.
ICME
Xiangru Lin, Shenghua Zhong, Yan Liu, Gong Chen
2022 B conf
Explanations of Deep Networks on EEG Data via Interpretable Approaches.
CBMS
Chen Cui, Ying Zhang, Shenghua Zhong
2021 — conf
A Data-Driven Near-Optimization Approach for Smart Parking Management Platforms.
ICNSC
Mingyan Bai, Shenghua Zhong, Pengyu Yan, Zhibin Chen, Zhixian Zhang
2014 — conf
Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression.
MLMI
Zhen Yang, Shenghua Zhong, Aaron Carass, Sarah H. Ying, Jerry L. Prince