{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T14:26:51Z","timestamp":1779892011975,"version":"3.53.1"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","funder":[{"name":"STI 2030?Major Projects","award":["2021ZD0201500"],"award-info":[{"award-number":["2021ZD0201500"]}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["62201002, 6247077204"],"award-info":[{"award-number":["62201002, 6247077204"]}]},{"name":"Excellent Youth Foundation of Anhui Scientific Committee","award":["2408085Y034"],"award-info":[{"award-number":["2408085Y034"]}]},{"name":"Cloud Ginger XR-1"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755579","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:37:21Z","timestamp":1761377841000},"page":"612-620","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["DHGCN: Dual HyperGraph Convolutional Network for EEG-Based Auditory Attention Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6509-5520","authenticated-orcid":false,"given":"Jian","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5001-4020","authenticated-orcid":false,"given":"Yingjie","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6318-8803","authenticated-orcid":false,"given":"Cunhang","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5938-5409","authenticated-orcid":false,"given":"Huabin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4530-4422","authenticated-orcid":false,"given":"Zhao","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2834-5548","authenticated-orcid":false,"given":"Liang","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"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\/ICASSP.2018.8462278"},{"key":"e_1_3_2_1_2_1","volume-title":"Kai Keng Ang, and Chai Quek","author":"Arvaneh Mahnaz","year":"2011","unstructured":"Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, and Chai Quek. 2011. Optimizing the channel selection and classification accuracy in EEG-based BCI. IEEE transactions on biomedical engineering, Vol. 58, 6 (2011), 1865-1873."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107637"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.12720\/jait.15.10.1089-1105"},{"key":"e_1_3_2_1_5_1","volume-title":"Optimizing spatial filters for robust EEG single-trial analysis","author":"Blankertz Benjamin","year":"2007","unstructured":"Benjamin Blankertz, Ryota Tomioka, Steven Lemm, Motoaki Kawanabe, and Klaus-Robert Muller. 2007. Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal processing magazine, Vol. 25, 1 (2007), 41-56."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2023.3294242"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2021.3125283"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC46164.2021.9630902"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447633"},{"key":"e_1_3_2_1_11_1","volume-title":"Quantifying attentional modulation of auditory-evoked cortical responses from single-trial electroencephalography. Frontiers in human neuroscience","author":"Choi Inyong","year":"2013","unstructured":"Inyong Choi, Siddharth Rajaram, Lenny A Varghese, and Barbara G Shinn-Cunningham. 2013. Quantifying attentional modulation of auditory-evoked cortical responses from single-trial electroencephalography. Frontiers in human neuroscience, Vol. 7 (2013), 115."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/ejn.13790"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1205381109"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.05.003"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106580"},{"key":"e_1_3_2_1_16_1","volume-title":"Seeing helps hearing: A multi-modal dataset and a mamba-based dual branch parallel network for auditory attention decoding. Information Fusion","author":"Fan Cunhang","year":"2025","unstructured":"Cunhang Fan, Hongyu Zhang, Qinke Ni, Jingjing Zhang, Jianhua Tao, Jian Zhou, Jiangyan Yi, Zhao Lv, and Xiaopei Wu. 2025. Seeing helps hearing: A multi-modal dataset and a mamba-based dual branch parallel network for auditory attention decoding. Information Fusion (2025), 102946."},{"key":"e_1_3_2_1_17_1","volume-title":"Psychoacoustics: facts and models","author":"Fastl Hugo","unstructured":"Hugo Fastl and Eberhard Zwicker. 2006. Psychoacoustics: facts and models. Vol. 22. Springer Science & Business Media."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.04.026"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2021.3075932"},{"key":"e_1_3_2_1_21_1","volume-title":"Speaker-independent auditory attention decoding without access to clean speech sources. Science advances","author":"Han Cong","year":"2019","unstructured":"Cong Han, James O'Sullivan, Yi Luo, Jose Herrero, Ashesh D Mehta, and Nima Mesgarani. 2019. Speaker-independent auditory attention decoding without access to clean speech sources. Science advances, Vol. 5, 5 (2019), eaav6134."},{"key":"e_1_3_2_1_22_1","volume-title":"The cocktail party problem. Neural computation","author":"Haykin Simon","year":"2005","unstructured":"Simon Haykin and Zhe Chen. 2005. The cocktail party problem. Neural computation, Vol. 17, 9 (2005), 1875-1902."},{"key":"e_1_3_2_1_23_1","volume-title":"Using the International 10-20 EEG System for Positioning of Transcranial Magnetic Stimulation. Brain topography","author":"Herwig Uwe","year":"2003","unstructured":"Uwe Herwig, Peyman Satrapi, and Carlos Sch\u00f6nfeldt-Lecuona. 2003. Using the International 10-20 EEG System for Positioning of Transcranial Magnetic Stimulation. Brain topography, Vol. 16 (02 2003), 95-9."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Jianwen Jiang Yuxuan Wei Yifan Feng Jingxuan Cao and Yue Gao. 2019. Dynamic Hypergraph Neural Networks. In IJCAI-19. 2635-2641.","DOI":"10.24963\/ijcai.2019\/366"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ac975c"},{"key":"e_1_3_2_1_26_1","volume-title":"Using neuroimaging to understand the cortical mechanisms of auditory selective attention. Hearing research","author":"Lee Adrian KC","year":"2014","unstructured":"Adrian KC Lee, Eric Larson, Ross K Maddox, and Barbara G Shinn-Cunningham. 2014. Using neuroimaging to understand the cortical mechanisms of auditory selective attention. Hearing research, Vol. 307 (2014), 111-120."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2082539"},{"key":"e_1_3_2_1_28_1","first-page":"233","volume-title":"Nature","volume":"485","author":"Mesgarani Nima","year":"2012","unstructured":"Nima Mesgarani and Edward F Chang. 2012. Selective cortical representation of attended speaker in multi-talker speech perception. Nature, Vol. 485, 7397 (2012), 233-236."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054000"},{"key":"e_1_3_2_1_30_1","unstructured":"Qinke Ni Hongyu Zhang Cunhang Fan Shengbing Pei Chang Zhou and Zhao Lv. 2024. DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection. In IJCAI-24. 3115-3123."},{"key":"e_1_3_2_1_31_1","volume-title":"Nima Mesgarani, Siddharth Rajaram, John J Foxe, Barbara G Shinn-Cunningham, Malcolm Slaney, Shihab A Shamma, and Edmund C Lalor.","author":"O'sullivan James A","year":"2015","unstructured":"James A O'sullivan, Alan J Power, Nima Mesgarani, Siddharth Rajaram, John J Foxe, Barbara G Shinn-Cunningham, Malcolm Slaney, Shihab A Shamma, and Edmund C Lalor. 2015. Attentional selection in a cocktail party environment can be decoded from single-trial EEG. Cerebral cortex, Vol. 25, 7 (2015), 1697-1706."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/NER52421.2023.10123792"},{"key":"e_1_3_2_1_33_1","volume-title":"Science","volume":"342","author":"Park Hae-Jeong","year":"2013","unstructured":"Hae-Jeong Park and Karl Friston. 2013. Structural and functional brain networks: from connections to cognition. Science, Vol. 342, 6158 (2013), 1238411."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ace73f"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2022.3140246"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.56481"},{"key":"e_1_3_2_1_37_1","first-page":"1782","volume-title":"Cerebral Cortex","volume":"33","author":"Wang Yezhou","year":"2022","unstructured":"Yezhou Wang, Jessica Royer, Bo-yong Park, Reinder Vos de Wael, Sara Larivi\u00e8re, Shahin Tavakol, Raul Rodriguez-Cruces, Casey Paquola, Seok-Jun Hong, Daniel S Margulies, Jonathan Smallwood, Sofie L Valk, Alan C Evans, and Boris C Bernhardt. 2022. Long-range functional connections mirror and link microarchitectural and cognitive hierarchies in the human brain. Cerebral Cortex, Vol. 33, 5 (05 2022), 1782-1798."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1523357113"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10448013"},{"key":"e_1_3_2_1_41_1","volume-title":"Hypergcn: A new method for training graph convolutional networks on hypergraphs. Advances in neural information processing systems","author":"Yadati Naganand","year":"2019","unstructured":"Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, and Partha Talukdar. 2019. Hypergcn: A new method for training graph convolutional networks on hypergraphs. Advances in neural information processing systems, Vol. 32 (2019)."},{"key":"e_1_3_2_1_42_1","first-page":"31688","article-title":"Darnet: Dual attention refinement network with spatiotemporal construction for auditory attention detection","volume":"37","author":"Yan Sheng","year":"2024","unstructured":"Sheng Yan, Cunhang Fan, Hongyu Zhang, Xiaoke Yang, Jianhua Tao, and Zhao Lv. 2024. Darnet: Dual attention refinement network with spatiotemporal construction for auditory attention detection. Advances in Neural Information Processing Systems, Vol. 37 (2024), 31688-31707.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ad4f1a"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2015.2431497"}],"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\/3746027.3755579","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T05:05:43Z","timestamp":1765343143000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755579"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":44,"alternative-id":["10.1145\/3746027.3755579","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755579","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"}}]}}