{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T09:04:24Z","timestamp":1765357464622,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Science Foundation of China","award":["U22B2052"],"award-info":[{"award-number":["U22B2052"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1145\/3581783.3611859","type":"proceedings-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T07:27:12Z","timestamp":1698391632000},"page":"7758-7766","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Bilevel Generative Learning for Low-Light Vision"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7848-2187","authenticated-orcid":false,"given":"Yingchi","family":"Liu","sequence":"first","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0975-2711","authenticated-orcid":false,"given":"Zhu","family":"Liu","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5125-0198","authenticated-orcid":false,"given":"Long","family":"Ma","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2085-2676","authenticated-orcid":false,"given":"Jinyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8991-4188","authenticated-orcid":false,"given":"Xin","family":"Fan","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5997-2646","authenticated-orcid":false,"given":"Zhongxuan","family":"Luo","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, Dalian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9554-0565","authenticated-orcid":false,"given":"Risheng","family":"Liu","sequence":"additional","affiliation":[{"name":"Dalian University of Technology & Peng Cheng Laboratory, Dalian, China"}]}],"member":"320","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"volume-title":"Learning to see in the dark","author":"Chen Chen","key":"e_1_3_2_2_1_1","unstructured":"Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun. 2018a. Learning to see in the dark. In IEEE CVPR. 3291--3300."},{"key":"e_1_3_2_2_2_1","volume-title":"Instance Segmentation in the Dark. arXiv preprint arXiv:2304.14298","author":"Chen Linwei","year":"2023","unstructured":"Linwei Chen, Ying Fu, Kaixuan Wei, Dezhi Zheng, and Felix Heide. 2023. Instance Segmentation in the Dark. arXiv preprint arXiv:2304.14298 (2023)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff and Hartwig Adam. 2018b. Encoder-decoder with atrous separable convolution for semantic image segmentation. In ECCV. 801--818.","DOI":"10.1007\/978-3-030-01234-2_49"},{"volume-title":"Multitask aet with orthogonal tangent regularity for dark object detection","author":"Cui Ziteng","key":"e_1_3_2_2_4_1","unstructured":"Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, and Tatsuya Harada. 2021. Multitask aet with orthogonal tangent regularity for dark object detection. In IEEE CVPR. 2553--2562."},{"key":"e_1_3_2_2_5_1","volume-title":"Andrew Beng Jin Teoh, and Jiajun Shen","author":"Dong Xingbo","year":"2022","unstructured":"Xingbo Dong, Wanyan Xu, Zhihui Miao, Lan Ma, Chao Zhang, Jiewen Yang, Zhe Jin, Andrew Beng Jin Teoh, and Jiajun Shen. 2022. Abandoning the Bayer-filter to see in the dark. In IEEE CVPR. 17431--17440."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"e_1_3_2_2_7_1","volume-title":"Luc Van Gool, and Radu Timofte","author":"Gu Shuhang","year":"2019","unstructured":"Shuhang Gu, Yawei Li, Luc Van Gool, and Radu Timofte. 2019. Self-guided network for fast image denoising. In IEEE CVPR. 2511--2520."},{"key":"e_1_3_2_2_8_1","volume-title":"Junhui Hou, Sam Kwong, and Runmin Cong.","author":"Guo Chunle","year":"2020","unstructured":"Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, and Runmin Cong. 2020. Zero-reference deep curve estimation for low-light image enhancement. In IEEE CVPR. 1780--1789."},{"volume-title":"Deep fourier-based exposure correction network with spatial-frequency interaction","author":"Huang Jie","key":"e_1_3_2_2_9_1","unstructured":"Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, and Zhiwei Xiong. 2022a. Deep fourier-based exposure correction network with spatial-frequency interaction. In ECCV. Springer, 163--180."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Jie Huang Man Zhou Yajing Liu Mingde Yao Feng Zhao and Zhiwei Xiong. 2022b. Exposure-consistency representation learning for exposure correction. In ACM MM. 6309--6317.","DOI":"10.1145\/3503161.3547829"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.12.315"},{"key":"e_1_3_2_2_12_1","first-page":"2340","article-title":"Enlightengan: Deep light enhancement without paired supervision","volume":"30","author":"Jiang Yifan","year":"2021","unstructured":"Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, and Zhangyang Wang. 2021. Enlightengan: Deep light enhancement without paired supervision. IEEE TIP, Vol. 30 (2021), 2340--2349.","journal-title":"IEEE TIP"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Dian Jin Long Ma Risheng Liu and Xin Fan. 2021. Bridging the gap between low-light scenes: Bilevel learning for fast adaptation. In ACM MM. 2401--2409.","DOI":"10.1145\/3474085.3475404"},{"key":"e_1_3_2_2_14_1","volume-title":"Towards fast and light-weight restoration of dark images. arXiv preprint arXiv:2011.14133","author":"Lamba Mohit","year":"2020","unstructured":"Mohit Lamba, Atul Balaji, and Kaushik Mitra. 2020. Towards fast and light-weight restoration of dark images. arXiv preprint arXiv:2011.14133 (2020)."},{"volume-title":"Restoring extremely dark images in real time","author":"Lamba Mohit","key":"e_1_3_2_2_15_1","unstructured":"Mohit Lamba and Kaushik Mitra. 2021. Restoring extremely dark images in real time. In IEEE CVPR. 3487--3497."},{"key":"e_1_3_2_2_16_1","first-page":"713","article-title":"Learning a coordinated network for detail-refinement multiexposure image fusion","volume":"33","author":"Li Jiawei","year":"2022","unstructured":"Jiawei Li, Jinyuan Liu, Shihua Zhou, Qiang Zhang, and Nikola K Kasabov. 2022. Learning a coordinated network for detail-refinement multiexposure image fusion. IEEE TCSVT, Vol. 33, 2 (2022), 713--727.","journal-title":"IEEE TCSVT"},{"volume-title":"DSFD: dual shot face detector","author":"Li Jian","key":"e_1_3_2_2_17_1","unstructured":"Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Jilin Li, and Feiyue Huang. 2019. DSFD: dual shot face detector. In IEEE CVPR. 5060--5069."},{"key":"e_1_3_2_2_18_1","first-page":"1609","article-title":"Recurrent exposure generation for low-light face detection","volume":"24","author":"Liang Jinxiu","year":"2021","unstructured":"Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, and Yong Xu. 2021. Recurrent exposure generation for low-light face detection. IEEE TMM , Vol. 24 (2021), 1609--1621.","journal-title":"IEEE TMM"},{"key":"e_1_3_2_2_19_1","first-page":"105","article-title":"Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion","volume":"32","author":"Liu Jinyuan","year":"2021","unstructured":"Jinyuan Liu, Xin Fan, Ji Jiang, Risheng Liu, and Zhongxuan Luo. 2021a. Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion. IEEE TCSVT, Vol. 32, 1 (2021), 105--119.","journal-title":"IEEE TCSVT"},{"key":"e_1_3_2_2_20_1","first-page":"5026","article-title":"Attention-guided global-local adversarial learning for detail-preserving multi-exposure image fusion","volume":"32","author":"Liu Jinyuan","year":"2022","unstructured":"Jinyuan Liu, Jingjie Shang, Risheng Liu, and Xin Fan. 2022c. Attention-guided global-local adversarial learning for detail-preserving multi-exposure image fusion. IEEE TCSVT, Vol. 32, 8 (2022), 5026--5040.","journal-title":"IEEE TCSVT"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.02.027"},{"key":"e_1_3_2_2_22_1","volume-title":"Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application. arXiv preprint arXiv:2205.10146","author":"Liu Risheng","year":"2022","unstructured":"Risheng Liu, Jiaxin Gao, Xuan Liu, and Xin Fan. 2022a. Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application. arXiv preprint arXiv:2205.10146 (2022)."},{"key":"e_1_3_2_2_23_1","first-page":"1653","article-title":"Knowledge-driven deep unrolling for robust image layer separation","volume":"31","author":"Liu Risheng","year":"2019","unstructured":"Risheng Liu, Zhiying Jiang, Xin Fan, and Zhongxuan Luo. 2019. Knowledge-driven deep unrolling for robust image layer separation. IEEE TNNLS, Vol. 31, 5 (2019), 1653--1666.","journal-title":"IEEE TNNLS"},{"key":"e_1_3_2_2_24_1","first-page":"1261","article-title":"A bilevel integrated model with data-driven layer ensemble for multi-modality image fusion","volume":"30","author":"Liu Risheng","year":"2020","unstructured":"Risheng Liu, Jinyuan Liu, Zhiying Jiang, Xin Fan, and Zhongxuan Luo. 2020. A bilevel integrated model with data-driven layer ensemble for multi-modality image fusion. IEEE TIP , Vol. 30 (2020), 1261--1274.","journal-title":"IEEE TIP"},{"key":"e_1_3_2_2_25_1","volume-title":"Implicitly-searched and Meta-initialized Deep Model for Image Fusion. arXiv preprint arXiv:2305.15862","author":"Liu Risheng","year":"2023","unstructured":"Risheng Liu, Zhu Liu, Jinyuan Liu, Xin Fan, and Zhongxuan Luo. 2023 a. A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion. arXiv preprint arXiv:2305.15862 (2023)."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3212995"},{"volume-title":"Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement","author":"Liu Risheng","key":"e_1_3_2_2_27_1","unstructured":"Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, and Zhongxuan Luo. 2021b. Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement. In IEEE CVPR. 10561--10570."},{"key":"e_1_3_2_2_28_1","volume-title":"2023 b. Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion. arXiv preprint arXiv:2305.12236","author":"Liu Zhu","year":"2023","unstructured":"Zhu Liu, Jinyuan Liu, Guanyao Wu, Xin Fan, and Risheng Liu. 2023 b. Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion. arXiv preprint arXiv:2305.12236 (2023)."},{"key":"e_1_3_2_2_29_1","volume-title":"2023 c. Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. IJCAI","author":"Liu Zhu","year":"2023","unstructured":"Zhu Liu, Jinyuan Liu, Guanyao Wu, Long Ma, Xin Fan, and Risheng Liu. 2023 c. Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond. IJCAI (2023)."},{"key":"e_1_3_2_2_30_1","volume-title":"Bilevel Fast Scene Adaptation for Low-Light Image Enhancement. arXiv preprint arXiv:2306.01343","author":"Ma Long","year":"2023","unstructured":"Long Ma, Dian Jin, Nan An, Jinyuan Liu, Xin Fan, and Risheng Liu. 2023. Bilevel Fast Scene Adaptation for Low-Light Image Enhancement. arXiv preprint arXiv:2306.01343 (2023)."},{"volume-title":"Toward fast, flexible, and robust low-light image enhancement","author":"Ma Long","key":"e_1_3_2_2_31_1","unstructured":"Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, and Zhongxuan Luo. 2022. Toward fast, flexible, and robust low-light image enhancement. In IEEE CVPR. 5637--5646."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abm6074"},{"volume-title":"Improving extreme low-light image denoising via residual learning","author":"Maharjan Paras","key":"e_1_3_2_2_33_1","unstructured":"Paras Maharjan, Li Li, Zhu Li, Ning Xu, Chongyang Ma, and Yue Li. 2019. Improving extreme low-light image denoising via residual learning. In IEEE ICME. IEEE, 916--921."},{"key":"e_1_3_2_2_34_1","first-page":"4695","article-title":"No-reference image quality assessment in the spatial domain","volume":"21","author":"Mittal Anish","year":"2012","unstructured":"Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik. 2012a. No-reference image quality assessment in the spatial domain. IEEE TIP, Vol. 21, 12 (2012), 4695--4708.","journal-title":"IEEE TIP"},{"key":"e_1_3_2_2_35_1","first-page":"209","article-title":"Making a ?completely blind\" image quality analyzer","volume":"20","author":"Mittal Anish","year":"2012","unstructured":"Anish Mittal, Rajiv Soundararajan, and Alan C Bovik. 2012b. Making a ?completely blind\" image quality analyzer. IEEE SPL, Vol. 20, 3 (2012), 209--212.","journal-title":"IEEE SPL"},{"key":"e_1_3_2_2_36_1","volume-title":"ACDC: The adverse conditions dataset with correspondences for semantic driving scene understanding","author":"Sakaridis Christos","year":"2021","unstructured":"Christos Sakaridis, Dengxin Dai, and Luc Van Gool. 2021. ACDC: The adverse conditions dataset with correspondences for semantic driving scene understanding. In IEEE ICCV. 10765--10775."},{"key":"e_1_3_2_2_37_1","first-page":"430","article-title":"Image information and visual quality","volume":"15","author":"Sheikh Hamid R","year":"2006","unstructured":"Hamid R Sheikh and Alan C Bovik. 2006. Image information and visual quality. IEEE TIP, Vol. 15, 2 (2006), 430--444.","journal-title":"IEEE TIP"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101828"},{"key":"e_1_3_2_2_39_1","first-page":"3538","article-title":"Naturalness preserved enhancement algorithm for non-uniform illumination images","volume":"22","author":"Wang Shuhang","year":"2013","unstructured":"Shuhang Wang, Jin Zheng, Hai-Miao Hu, and Bo Li. 2013. Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE TIP, Vol. 22, 9 (2013), 3538--3548.","journal-title":"IEEE TIP"},{"key":"e_1_3_2_2_40_1","volume-title":"Unsupervised Face Detection in the Dark","author":"Wang Wenjing","year":"2022","unstructured":"Wenjing Wang, Xinhao Wang, Wenhan Yang, and Jiaying Liu. 2022. Unsupervised Face Detection in the Dark. IEEE TPAMI (2022)."},{"key":"e_1_3_2_2_41_1","volume-title":"Deep retinex decomposition for low-light enhancement. arXiv preprint arXiv:1808.04560","author":"Wei Chen","year":"2018","unstructured":"Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu. 2018. Deep retinex decomposition for low-light enhancement. arXiv preprint arXiv:1808.04560 (2018)."},{"key":"e_1_3_2_2_42_1","volume-title":"Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement","author":"Wu Wenhui","year":"2022","unstructured":"Wenhui Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, and Jianmin Jiang. 2022. Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement. In IEEE CVPR. 5901--5910."},{"volume-title":"Learning to restore low-light images via decomposition-and-enhancement","author":"Xu Ke","key":"e_1_3_2_2_43_1","unstructured":"Ke Xu, Xin Yang, Baocai Yin, and Rynson WH Lau. 2020. Learning to restore low-light images via decomposition-and-enhancement. In IEEE CVPR. 2281--2290."},{"key":"e_1_3_2_2_44_1","first-page":"2677","article-title":"RawFormer: An Efficient Vision Transformer for Low-Light RAW Image Enhancement","volume":"29","author":"Xu Wanyan","year":"2022","unstructured":"Wanyan Xu, Xingbo Dong, Lan Ma, Andrew Beng Jin Teoh, and Zhixian Lin. 2022a. RawFormer: An Efficient Vision Transformer for Low-Light RAW Image Enhancement. IEEE SPL, Vol. 29 (2022), 2677--2681.","journal-title":"IEEE SPL"},{"volume-title":"SNR-aware low-light image enhancement","author":"Xu Xiaogang","key":"e_1_3_2_2_45_1","unstructured":"Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, and Jiaya Jia. 2022b. SNR-aware low-light image enhancement. In IEEE CVPR. 17714--17724."},{"volume-title":"From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement","author":"Yang Wenhan","key":"e_1_3_2_2_46_1","unstructured":"Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, and Jiaying Liu. 2020a. From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement. In IEEE CVPR. 3063--3072."},{"key":"e_1_3_2_2_47_1","first-page":"5737","article-title":"Advancing image understanding in poor visibility environments: A collective benchmark study","volume":"29","author":"Yang Wenhan","year":"2020","unstructured":"Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, et al. 2020b. Advancing image understanding in poor visibility environments: A collective benchmark study. IEEE TIP, Vol. 29 (2020), 5737--5752.","journal-title":"IEEE TIP"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"crossref","unstructured":"Jinghao Zhang Jie Huang Mingde Yao Man Zhou and Feng Zhao. 2022a. Structure-and Texture-Aware Learning for Low-Light Image Enhancement. In ACM MM. 6483--6492.","DOI":"10.1145\/3503161.3548359"},{"key":"e_1_3_2_2_49_1","first-page":"2378","article-title":"FSIM: A feature similarity index for image quality assessment","volume":"20","author":"Zhang Lin","year":"2011","unstructured":"Lin Zhang, Lei Zhang, Xuanqin Mou, and David Zhang. 2011. FSIM: A feature similarity index for image quality assessment. IEEE TIP, Vol. 20, 8 (2011), 2378--2386.","journal-title":"IEEE TIP"},{"volume-title":"The unreasonable effectiveness of deep features as a perceptual metric","author":"Zhang Richard","key":"e_1_3_2_2_50_1","unstructured":"Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018. The unreasonable effectiveness of deep features as a perceptual metric. In IEEE CVPR. 586--595."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01407-x"},{"key":"e_1_3_2_2_52_1","unstructured":"Yihua Zhang Guanhua Zhang Prashant Khanduri Mingyi Hong Shiyu Chang and Sijia Liu. 2022b. Revisiting and advancing fast adversarial training through the lens of bi-level optimization. In ICML. PMLR 26693--26712."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"crossref","unstructured":"Yonghua Zhang Jiawan Zhang and Xiaojie Guo. 2019. Kindling the darkness: A practical low-light image enhancer. In ACM MM. 1632--1640.","DOI":"10.1145\/3343031.3350926"}],"event":{"name":"MM '23: The 31st ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Ottawa ON Canada","acronym":"MM '23"},"container-title":["Proceedings of the 31st ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3611859","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3611859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:00:39Z","timestamp":1755820839000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3611859"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":53,"alternative-id":["10.1145\/3581783.3611859","10.1145\/3581783"],"URL":"https:\/\/doi.org\/10.1145\/3581783.3611859","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"2023-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}