{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T19:16:26Z","timestamp":1765307786769,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","funder":[{"name":"National Natural Science Foundation of China","award":["No. U2333211"],"award-info":[{"award-number":["No. U2333211"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["No. ZYGX2024Z004"],"award-info":[{"award-number":["No. ZYGX2024Z004"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project of Sichuan Engineering Technology Research Center for Civil Aviation Flight Technology and Flight Safety","award":["No. GY2024-27D"],"award-info":[{"award-number":["No. GY2024-27D"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755525","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T05:44:48Z","timestamp":1761371088000},"page":"5745-5754","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Toward Reliable Emotion Recognition: Alleviating Label Noise and Reducing Uncertain Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7990-0707","authenticated-orcid":false,"given":"Chengzhe","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1921-1460","authenticated-orcid":false,"given":"Wenqing","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1212-4476","authenticated-orcid":false,"given":"Chenyang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1538-5789","authenticated-orcid":false,"given":"Tongjie","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5974-1717","authenticated-orcid":false,"given":"Yalan","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.28"},{"key":"e_1_3_2_1_2_1","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Alayrac Jean-Baptiste","year":"2019","unstructured":"Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, and Pushmeet Kohli. 2019. Are labels required for improving adversarial robustness? Advances in Neural Information Processing Systems, Vol. 32 (2019)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.778488"},{"key":"e_1_3_2_1_4_1","volume-title":"VAE-CapsNet: A common emotion information extractor for cross-subject emotion recognition. Knowledge-Based Systems","author":"Chen Huayu","year":"2025","unstructured":"Huayu Chen, Junxiang Li, Huanhuan He, Shuting Sun, Jing Zhu, Xiaowei Li, and Bin Hu. 2025. VAE-CapsNet: A common emotion information extractor for cross-subject emotion recognition. Knowledge-Based Systems (2025), 113018."},{"key":"e_1_3_2_1_5_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_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3169001"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/NER.2013.6695876"},{"key":"e_1_3_2_1_8_1","volume-title":"Toward emotion aware computing: an integrated approach using multichannel neurophysiological recordings and affective visual stimuli","author":"Frantzidis Christos A","year":"2010","unstructured":"Christos A Frantzidis, Charalampos Bratsas, Christos L Papadelis, Evdokimos Konstantinidis, Costas Pappas, and Panagiotis D Bamidis. 2010. Toward emotion aware computing: an integrated approach using multichannel neurophysiological recordings and affective visual stimuli. IEEE transactions on Information Technology in Biomedicine, Vol. 14, 3 (2010), 589-597."},{"key":"e_1_3_2_1_9_1","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"Ganin Yaroslav","year":"2016","unstructured":"Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, Fran\u00e7ois Laviolette, Mario March, and Victor Lempitsky. 2016. Domain-adversarial training of neural networks. Journal of machine learning research, Vol. 17, 59 (2016), 1-35.","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104811"},{"key":"e_1_3_2_1_11_1","volume-title":"Tagging Continuous Labels for EEG-based Emotion Classification. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 1-4.","author":"Gu Rong-Fei","year":"2023","unstructured":"Rong-Fei Gu, Li-Ming Zhao, Wei-Long Zheng, and Bao-Liang Lu. 2023. Tagging Continuous Labels for EEG-based Emotion Classification. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 1-4."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2781732"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681406"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613797"},{"key":"e_1_3_2_1_15_1","volume-title":"Large brain model for learning generic representations with tremendous EEG data in BCI. arXiv preprint arXiv:2405.18765","author":"Jiang Wei-Bang","year":"2024","unstructured":"Wei-Bang Jiang, Li-Ming Zhao, and Bao-Liang Lu. 2024b. Large brain model for learning generic representations with tremendous EEG data in BCI. arXiv preprint arXiv:2405.18765 (2024)."},{"key":"e_1_3_2_1_16_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_17_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"e_1_3_2_1_18_1","first-page":"403","volume-title":"ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, proceedings, part V 25","author":"Li He","year":"2018","unstructured":"He Li, Yi-Ming Jin, Wei-Long Zheng, and Bao-Liang Lu. 2018a. Cross-subject emotion recognition using deep adaptation networks. In Neural information processing: 25th international conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, proceedings, part V 25. Springer, 403-413."},{"key":"e_1_3_2_1_19_1","volume-title":"Dividemix: Learning with noisy labels as semi-supervised learning. arXiv preprint arXiv:2002.07394","author":"Li Junnan","year":"2020","unstructured":"Junnan Li, Richard Socher, and Steven CH Hoi. 2020a. Dividemix: Learning with noisy labels as semi-supervised learning. arXiv preprint arXiv:2002.07394 (2020)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447740"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2020.2999337"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-018-9829-1"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2885474"},{"key":"e_1_3_2_1_24_1","volume-title":"Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE","author":"Li Ziyi","year":"2024","unstructured":"Ziyi Li, Li-Ming Zhao, Wei-Long Zheng, and Bao-Liang Lu. 2024b. Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1806-1810."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3210158"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2048568"},{"key":"e_1_3_2_1_27_1","volume-title":"Enhancing EEG-Based Cross-Subject Emotion Recognition via Adaptive Source Joint Domain Adaptation","author":"Liu Ke","year":"2024","unstructured":"Ke Liu, Xin Luo, Wenrui Zhu, Zhuliang Yu, Hong Yu, Bin Xiao, and Wei Wu. 2024. Enhancing EEG-Based Cross-Subject Emotion Recognition via Adaptive Source Joint Domain Adaptation. IEEE Transactions on Affective Computing (2024)."},{"key":"e_1_3_2_1_28_1","unstructured":"Ilya Loshchilov Frank Hutter et al. 2017. Fixing weight decay regularization in adam. arXiv preprint arXiv:1711.05101 Vol. 5 (2017)."},{"key":"e_1_3_2_1_29_1","volume-title":"Neethu Robinson, A Prasad Vinod, Seong-Whan Lee, and Cuntai Guan.","author":"Mane Ravikiran","year":"2021","unstructured":"Ravikiran Mane, Effie Chew, Karen Chua, Kai Keng Ang, Neethu Robinson, A Prasad Vinod, Seong-Whan Lee, and Cuntai Guan. 2021. FBCNet: A multi-view convolutional neural network for brain-computer interface. arXiv preprint arXiv:2104.01233 (2021)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2971600"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3164516"},{"key":"e_1_3_2_1_32_1","volume-title":"Information-theoretical learning of discriminative clusters for unsupervised domain adaptation. arXiv preprint arXiv:1206.6438","author":"Shi Yuan","year":"2012","unstructured":"Yuan Shi and Fei Sha. 2012. Information-theoretical learning of discriminative clusters for unsupervised domain adaptation. arXiv preprint arXiv:1206.6438 (2012)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3152527"},{"key":"e_1_3_2_1_34_1","first-page":"499","volume-title":"proceedings, part VII 14","author":"Wen Yandong","year":"2016","unstructured":"Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao. 2016. A discriminative feature learning approach for deep face recognition. In Computer vision-ECCV 2016: 14th European conference, amsterdam, the netherlands, October 11-14, 2016, proceedings, part VII 14. Springer, 499-515."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2877939"},{"key":"e_1_3_2_1_36_1","first-page":"3666","article-title":"Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning","author":"Ye Yalan","year":"2022","unstructured":"Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, and Li Lu. 2022. Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning.. In IJCAI. 3666-3672.","journal-title":"IJCAI."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01223"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01569-2"},{"key":"e_1_3_2_1_39_1","volume-title":"Evaluating multi-label classifiers with noisy labels. arXiv preprint arXiv:2102.08427","author":"Zhao Wenting","year":"2021","unstructured":"Wenting Zhao and Carla Gomes. 2021. Evaluating multi-label classifiers with noisy labels. arXiv preprint arXiv:2102.08427 (2021)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2016.2587290"},{"key":"e_1_3_2_1_41_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_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2015.2431497"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2994159"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2023.3288118"},{"key":"e_1_3_2_1_45_1","volume-title":"Understanding the interaction of adversarial training with noisy labels. arXiv preprint arXiv:2102.03482","author":"Zhu Jianing","year":"2021","unstructured":"Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan Kankanhalli, and Masashi Sugiyama. 2021. Understanding the interaction of adversarial training with noisy labels. arXiv preprint arXiv:2102.03482 (2021)."}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755525","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T19:14:37Z","timestamp":1765307677000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755525"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":45,"alternative-id":["10.1145\/3746027.3755525","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755525","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"}}]}}