MEERNet: Multi-source EEG-based Emotion Recognition Network for Generalization Across Subjects and Sessions. - Hao Chen 081; Zhunan Li; Ming Jin 006; Jinpeng Li 002 (EMBC, 2021)

EEG-based Emotion Recognition Using Graph Convolutional Network with Learnable Electrode Relations. - Ming Jin 006; Hao Chen 081; Zhunan Li; Jinpeng Li 002 (EMBC, 2021)

Reducing the Calibration Effort of EEG Emotion Recognition using Domain Adaptation with Soft Labels. - Zhunan Li; Hao Chen 081; Ming Jin 006; Jinpeng Li 002 (EMBC, 2021)

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition. - Hao Chen 081; Ming Jin 006; Zhunan Li; Cunhang Fan; Jinpeng Li 002; Huiguang He (CoRR, 2021)

Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges. - Enwei Zhu; Yiyang Liu 002; Ming Jin 006; Jinpeng Li 002 (CoRR, 2022)

Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition. - Zhunan Li; Enwei Zhu; Ming Jin 006; Cunhang Fan; Huiguang He; Ting Cai 001; Jinpeng Li 002 (IEEE J. Biomed. Health Informatics, 2022)

Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition. - Ming Jin 006; Jinpeng Li 002 (ACM Multimedia, 2023)

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition. - Ming Jin 006; Enwei Zhu; Changde Du; Huiguang He; Jinpeng Li 002 (CoRR, 2023)

EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition. - Ming Jin 006; Danni Zhang; Gangming Zhao; Changde Du; Jinpeng Li 002 (CoRR, 2024)

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition. - Ming Jin 006; Changde Du; Huiguang He; Ting Cai 001; Jinpeng Li 002 (IEEE Trans. Multim., 2024)