{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T21:24:11Z","timestamp":1774646651635,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":68,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2025JBMC030"],"award-info":[{"award-number":["2025JBMC030"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755354","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T06:54:15Z","timestamp":1761375255000},"page":"5687-5696","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["MoCERNet: A Modality-Complete Modeling Framework for Emotion Recognition in Physiological Signals under Imperfect Modal Matching"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-7204-2338","authenticated-orcid":false,"given":"Tianzuo","family":"Xin","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1017-2231","authenticated-orcid":false,"given":"Jing","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Big Data and Artificial Intelligence in Transportation &amp; School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8201-2299","authenticated-orcid":false,"given":"Xiyuan","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3668-2950","authenticated-orcid":false,"given":"Xiaojun","family":"Ning","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8057-0217","authenticated-orcid":false,"given":"Zhiyang","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5143-3645","authenticated-orcid":false,"given":"Youfang","family":"Lin","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence &amp; School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40846-019-00505-7"},{"key":"e_1_3_2_1_2_1","volume-title":"The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage. Brain and cognition","author":"Bechara Antoine","year":"2004","unstructured":"Antoine Bechara. 2004. The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage. Brain and cognition, Vol. 55, 1 (2004), 30-40."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CINE.2016.22"},{"key":"e_1_3_2_1_4_1","volume-title":"Jie Du, Chen Li, Hongtao Wang, and Chi-Man Vong.","author":"Chen Chuangquan","year":"2024","unstructured":"Chuangquan Chen, Zhencheng Li, Kit Ian Kou, Jie Du, Chen Li, Hongtao Wang, and Chi-Man Vong. 2024. Comprehensive multisource learning network for cross-subject multimodal emotion recognition. IEEE Transactions on Emerging Topics in Computational Intelligence (2024)."},{"key":"e_1_3_2_1_5_1","volume-title":"DISD-Net: A dynamic interactive network with self-distillation for cross-subject multi-modal emotion recognition","author":"Cheng Cheng","year":"2025","unstructured":"Cheng Cheng, Wenzhe Liu, Xinying Wang, Lin Feng, and Ziyu Jia. 2025. DISD-Net: A dynamic interactive network with self-distillation for cross-subject multi-modal emotion recognition. IEEE Transactions on Multimedia (2025)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413552"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/79.911197"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-7793.2000.t01-1-00259.x"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.20-08-03033.2000"},{"key":"e_1_3_2_1_10_1","volume-title":"Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems","author":"Defferrard Micha\u00ebl","year":"2016","unstructured":"Micha\u00ebl Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems, Vol. 29 (2016)."},{"key":"e_1_3_2_1_11_1","volume-title":"Lggnet: Learning from local-global-graph representations for brain-computer interface","author":"Ding Yi","year":"2023","unstructured":"Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng, and Cuntai Guan. 2023. Lggnet: Learning from local-global-graph representations for brain-computer interface. IEEE Transactions on Neural Networks and Learning Systems (2023)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3169001"},{"key":"e_1_3_2_1_13_1","first-page":"1","article-title":"A multi-dimensional graph convolution network for EEG emotion recognition","volume":"71","author":"Du Guanglong","year":"2022","unstructured":"Guanglong Du, Jinshao Su, Linlin Zhang, Kang Su, Xueqian Wang, Shaohua Teng, and Peter Xiaoping Liu. 2022. A multi-dimensional graph convolution network for EEG emotion recognition. IEEE Transactions on Instrumentation and Measurement, Vol. 71 (2022), 1-11.","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.entcs.2019.04.009"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.1000716"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612208"},{"key":"e_1_3_2_1_17_1","volume-title":"Bin Hu, and Tong Zhang.","author":"Gong Xinrong","year":"2024","unstructured":"Xinrong Gong, CL Philip Chen, Bin Hu, and Tong Zhang. 2024. Ciabl: Completeness-induced adaptative broad learning for cross-subject emotion recognition with eeg and eye movement signals. IEEE Transactions on Affective Computing (2024)."},{"key":"e_1_3_2_1_18_1","first-page":"3071","article-title":"Multimodal emotion recognition from eye image, eye movement and EEG using deep neural networks. In 2019 41st annual international conference of the IEEE engineering in medicine and biology society (EMBC)","author":"Guo Jiang-Jian","year":"2019","unstructured":"Jiang-Jian Guo, Rong Zhou, Li-Ming Zhao, and Bao-Liang Lu. 2019. Multimodal emotion recognition from eye image, eye movement and EEG using deep neural networks. In 2019 41st annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE, 3071-3074.","journal-title":"IEEE"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681579"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3617503","article-title":"GJFusion: A channel-level correlation construction method for multimodal physiological signal fusion","volume":"20","author":"Huang Wuliang","year":"2023","unstructured":"Wuliang Huang, Yiqiang Chen, Xinlong Jiang, Teng Zhang, and Qian Chen. 2023. GJFusion: A channel-level correlation construction method for multimodal physiological signal fusion. ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 20, 2 (2023), 1-23.","journal-title":"ACM Transactions on Multimedia Computing, Communications and Applications"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413724"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475583"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3110665"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. 3069-3077","author":"Jia Ziyu","year":"2024","unstructured":"Ziyu Jia, Fengming Zhao, Yuzhe Guo, Hairong Chen, Tianzi Jiang, and Brainnetome Center. 2024. Multi-level disentangling network for cross-subject emotion recognition based on multimodal physiological signals. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. 3069-3077."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446937"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613797"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096511"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2024.3357656"},{"key":"e_1_3_2_1_29_1","volume-title":"MMDA: A Multimodal and Multisource Domain Adaptation Method for Cross-Subject Emotion Recognition From EEG and Eye Movement Signals","author":"Jim\u00e9nez-Guarneros Magdiel","year":"2024","unstructured":"Magdiel Jim\u00e9nez-Guarneros, Gibran Fuentes-Pineda, and Jonas Grande-Barreto. 2024. MMDA: A Multimodal and Multisource Domain Adaptation Method for Cross-Subject Emotion Recognition From EEG and Eye Movement Signals. IEEE Transactions on Computational Social Systems (2024)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3551924"},{"key":"e_1_3_2_1_31_1","volume-title":"DREAMER: A database for emotion recognition through EEG and ECG signals from wireless low-cost off-the-shelf devices","author":"Katsigiannis Stamos","year":"2017","unstructured":"Stamos Katsigiannis and Naeem Ramzan. 2017. DREAMER: A database for emotion recognition through EEG and ECG signals from wireless low-cost off-the-shelf devices. IEEE journal of biomedical and health informatics, Vol. 22, 1 (2017), 98-107."},{"key":"e_1_3_2_1_32_1","volume-title":"Deap: A database for emotion analysis","author":"Koelstra Sander","year":"2011","unstructured":"Sander Koelstra, Christian Muhl, Mohammad Soleymani, Jong-Seok Lee, Ashkan Yazdani, Touradj Ebrahimi, Thierry Pun, Anton Nijholt, and Ioannis Patras. 2011. Deap: A database for emotion analysis; using physiological signals. IEEE transactions on affective computing, Vol. 3, 1 (2011), 18-31."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSIE55183.2023.10175312"},{"key":"e_1_3_2_1_34_1","volume-title":"2009 Annual International Conference of the IEEE Engineering in medicine and biology society. ieee, 1223-1226","author":"Li Mu","year":"2009","unstructured":"Mu Li and Bao-Liang Lu. 2009. Emotion classification based on gamma-band EEG. In 2009 Annual International Conference of the IEEE Engineering in medicine and biology society. ieee, 1223-1226."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104989"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.112379"},{"key":"e_1_3_2_1_37_1","volume-title":"Exploring EEG features in cross-subject emotion recognition. Frontiers in neuroscience","author":"Li Xiang","year":"2018","unstructured":"Xiang Li, Dawei Song, Peng Zhang, Yazhou Zhang, Yuexian Hou, and Bin Hu. 2018. Exploring EEG features in cross-subject emotion recognition. Frontiers in neuroscience, Vol. 12 (2018), 162."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3210158"},{"key":"e_1_3_2_1_39_1","volume-title":"The Twelfth International Conference on Learning Representations.","author":"Liu Chenyu","year":"2024","unstructured":"Chenyu Liu, Xinliang Zhou, Zhengri Zhu, Liming Zhai, Ziyu Jia, and Yang Liu. 2024b. VBH-GNN: variational Bayesian heterogeneous graph neural networks for cross-subject emotion recognition. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_40_1","volume-title":"EEG-based multimodal emotion recognition: A machine learning perspective","author":"Liu Huan","year":"2024","unstructured":"Huan Liu, Tianyu Lou, Yuzhe Zhang, Yixiao Wu, Yang Xiao, Christian S Jensen, and Dalin Zhang. 2024a. EEG-based multimodal emotion recognition: A machine learning perspective. IEEE Transactions on Instrumentation and Measurement (2024)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3083525"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612277"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350871"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612555"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681365"},{"key":"e_1_3_2_1_46_1","volume-title":"A multimodal database for affect recognition and implicit tagging","author":"Soleymani Mohammad","year":"2011","unstructured":"Mohammad Soleymani, Jeroen Lichtenauer, Thierry Pun, and Maja Pantic. 2011. A multimodal database for affect recognition and implicit tagging. IEEE transactions on affective computing, Vol. 3, 1 (2011), 42-55."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2817622"},{"key":"e_1_3_2_1_48_1","unstructured":"Zijia Song Zelin Zang Yelin Wang Guozheng Yang Wanyu Chen Miaoyu Wang Stan Z Li et al. 2024. Set-CLIP: Exploring Aligned Semantic From Low-Alignment Multimodal Data Through A Distribution View. arXiv preprint arXiv:2406.05766 (2024)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70093-9_86"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102129"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.3025777"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0327(00)00338-4"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2008.08.004"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2025.3561439"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00306"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-019-01056-8"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475701"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2021.3100868"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2024.3394436"},{"key":"e_1_3_2_1_60_1","volume-title":"CL Philip Chen, and Tong Zhang","author":"Ye Mengqing","year":"2022","unstructured":"Mengqing Ye, CL Philip Chen, and Tong Zhang. 2022. Hierarchical dynamic graph convolutional network with interpretability for EEG-based emotion recognition. IEEE transactions on neural networks and learning systems (2022)."},{"key":"e_1_3_2_1_61_1","volume-title":"Emotion recognition from multimodal physiological signals using a regularized deep fusion of kernel machine","author":"Zhang Xiaowei","year":"2020","unstructured":"Xiaowei Zhang, Jinyong Liu, Jian Shen, Shaojie Li, Kechen Hou, Bin Hu, Jin Gao, and Tong Zhang. 2020. Emotion recognition from multimodal physiological signals using a regularized deep fusion of kernel machine. IEEE transactions on cybernetics, Vol. 51, 9 (2020), 4386-4399."},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350957"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-13149-8"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ad3987"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3233184"},{"key":"e_1_3_2_1_66_1","volume-title":"Emotionmeter: A multimodal framework for recognizing human emotions","author":"Zheng Wei-Long","year":"2018","unstructured":"Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, and Andrzej Cichocki. 2018. Emotionmeter: A multimodal framework for recognizing human emotions. IEEE transactions on cybernetics, Vol. 49, 3 (2018), 1110-1122."},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2023.3288118"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124001"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","location":"Dublin Ireland","acronym":"MM '25","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755354","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T04:03:09Z","timestamp":1765339389000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755354"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":68,"alternative-id":["10.1145\/3746027.3755354","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755354","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}