{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T13:37:58Z","timestamp":1763732278208,"version":"3.45.0"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,3]]},"DOI":"10.1145\/3680207.3765266","type":"proceedings-article","created":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T13:20:32Z","timestamp":1763731232000},"page":"1091-1105","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["DD-LIVM: Pioneering Cross-Domain Photovoltaic Defect Detection Using Large Infrared-Visible Model"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8304-0844","authenticated-orcid":false,"given":"Yinan","family":"Zhu","sequence":"first","affiliation":[{"name":"HKUST, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4745-6526","authenticated-orcid":false,"given":"Meng","family":"Xue","sequence":"additional","affiliation":[{"name":"HKUST, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4862-5619","authenticated-orcid":false,"given":"Haiyan","family":"Hu","sequence":"additional","affiliation":[{"name":"HKUST, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9439-6725","authenticated-orcid":false,"given":"Cong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Jiangxing Intelligence Inc., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1706-5957","authenticated-orcid":false,"given":"Xiaoyi","family":"Fan","sequence":"additional","affiliation":[{"name":"Jiangxing Intelligence Inc., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9205-1881","authenticated-orcid":false,"given":"Qian","family":"Zhang","sequence":"additional","affiliation":[{"name":"HKUST, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1016\/j.solener.2019.08.061","article-title":"Improved outdoor thermography and processing of infrared images for defect detection in PV modules","volume":"190","author":"Akram M Waqar","year":"2019","unstructured":"M Waqar Akram, Guiqiang Li, Yi Jin, Xiao Chen, Changan Zhu, Xudong Zhao, M Aleem, and Ashfaq Ahmad. 2019. Improved outdoor thermography and processing of infrared images for defect detection in PV modules. Solar Energy 190 (2019), 549\u2013560.","journal-title":"Solar Energy"},{"key":"e_1_3_2_1_2_1","volume-title":"Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, and Fahad Shahbaz Khan.","author":"Awais Muhammad","year":"2025","unstructured":"Muhammad Awais, Muzammal Naseer, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, and Fahad Shahbaz Khan. 2025. Foundation Models Defining a New Era in Vision: a Survey and Outlook. IEEE Transactions on Pattern Analysis and Machine Intelligence (2025)."},{"key":"e_1_3_2_1_3_1","volume-title":"International Conference on Artificial Intelligence in Renewable Energetic Systems. Springer, 304\u2013311","author":"Boutana Yacine","year":"2024","unstructured":"Yacine Boutana, Sofiane Haddad, and Ammar Soukkou. 2024. Anomaly Detection and Classification of Solar Photovoltaic Modules Using Vision Transformers (ViT). In International Conference on Artificial Intelligence in Renewable Energetic Systems. Springer, 304\u2013311."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","first-page":"58498","DOI":"10.52202\/079017-1864","article-title":"Unified domain generalization and adaptation for multi-view 3d object detection","volume":"37","author":"Chang Gyusam","year":"2024","unstructured":"Gyusam Chang, Jiwon Lee, Donghyun Kim, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sujin Jang, and Sangpil Kim. 2024. Unified domain generalization and adaptation for multi-view 3d object detection. Advances in Neural Information Processing Systems 37 (2024), 58498\u201358524.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","first-page":"430","DOI":"10.55730\/1300-011X.3192","article-title":"Photovoltaic fault detection based on infrared and visible image augmentation and fusion","volume":"48","author":"XUEWEI CHAO, LIXIN ZHANG, YANG LI, CHAO","year":"2024","unstructured":"XUEWEI CHAO, LIXIN ZHANG, YANG LI, CHAO HUANG, and JING LI. 2024. Photovoltaic fault detection based on infrared and visible image augmentation and fusion. Turkish Journal of Agriculture and Forestry 48, 3 (2024), 430\u2013442.","journal-title":"Turkish Journal of Agriculture and Forestry"},{"key":"e_1_3_2_1_6_1","unstructured":"Kai Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong Xiaoxiao Li Shuyang Sun Wansen Feng Ziwei Liu Jiarui Xu et al. 2019. MMDetection: Open mmlab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155 (2019)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01679"},{"key":"e_1_3_2_1_8_1","unstructured":"DD-LIVM. 2025. DD-LIVM dataset samples of infrared-visible images. https:\/\/drive.google.com\/drive\/folders\/1-EMVcw5exQqCqP5eeL8RqvrUreGYwHWE?usp=sharing."},{"key":"e_1_3_2_1_9_1","volume-title":"A multi-stage model based on YOLOv3 for defect detection in PV panels based on IR and visible imaging by unmanned aerial vehicle. Renewable energy 193","author":"Tommaso Antonio Di","year":"2022","unstructured":"Antonio Di Tommaso, Alessandro Betti, Giacomo Fontanelli, and Benedetto Michelozzi. 2022. A multi-stage model based on YOLOv3 for defect detection in PV panels based on IR and visible imaging by unmanned aerial vehicle. Renewable energy 193 (2022), 941\u2013962."},{"key":"e_1_3_2_1_10_1","volume-title":"Visible-Infrared Image Alignment For Unmanned Aerial Vehicles: Benchmark and New Baseline","author":"Gao Zhinan","year":"2025","unstructured":"Zhinan Gao, Dongdong Li, Yangliu Kuai, Rui Chen, and Gongjian Wen. 2025. Visible-Infrared Image Alignment For Unmanned Aerial Vehicles: Benchmark and New Baseline. IEEE Transactions on Geoscience and Remote Sensing (2025)."},{"key":"e_1_3_2_1_11_1","volume-title":"DPDETR: Decoupled position detection transformer for infraredvisible object detection. arXiv preprint arXiv:2408.06123","author":"Guo Junjie","year":"2024","unstructured":"Junjie Guo, Chenqiang Gao, Fangcen Liu, and Deyu Meng. 2024. DPDETR: Decoupled position detection transformer for infraredvisible object detection. arXiv preprint arXiv:2408.06123 (2024)."},{"key":"e_1_3_2_1_12_1","volume-title":"European Conference on Computer Vision. Springer, 464\u2013481","author":"Guo Junjie","year":"2024","unstructured":"Junjie Guo, Chenqiang Gao, Fangcen Liu, Deyu Meng, and Xinbo Gao. 2024. Damsdet: Dynamic adaptive multispectral detection transformer with competitive query selection and adaptive feature fusion. In European Conference on Computer Vision. Springer, 464\u2013481."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08232-6"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02703"},{"key":"e_1_3_2_1_15_1","volume-title":"Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection. arXiv preprint arXiv:2503.02101","author":"He Boyong","year":"2025","unstructured":"Boyong He, Yuxiang Ji, Qianwen Ye, Zhuoyue Tan, and Liaoni Wu. 2025. Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection. arXiv preprint arXiv:2503.02101 (2025)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","first-page":"112186","DOI":"10.1016\/j.solener.2023.112186","article-title":"A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations","volume":"266","author":"Hijjawi Ula","year":"2023","unstructured":"Ula Hijjawi, Subhash Lakshminarayana, Tianhua Xu, Gian Piero Malfense Fierro, and Mostafizur Rahman. 2023. A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations. Solar Energy 266 (2023), 112186.","journal-title":"Solar Energy"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.solener.2022.03.018","article-title":"A novel framework on intelligent detection for module defects of PV plant combining the visible and infrared images","volume":"236","author":"Hong Feng","year":"2022","unstructured":"Feng Hong, Jie Song, Hang Meng, Rui Wang, Fang Fang, and Guangming Zhang. 2022. A novel framework on intelligent detection for module defects of PV plant combining the visible and infrared images. Solar Energy 236 (2022), 406\u2013416.","journal-title":"Solar Energy"},{"key":"e_1_3_2_1_20_1","volume-title":"Solar","volume":"4","author":"Hussain Muhammad","year":"2024","unstructured":"Muhammad Hussain and Rahima Khanam. 2024. In-depth review of yolov1 to yolov10 variants for enhanced photovoltaic defect detection. In Solar, Vol. 4. MDPI, 351\u2013386."},{"key":"e_1_3_2_1_21_1","volume-title":"Solar","volume":"5","author":"Khanam Rahima","year":"2025","unstructured":"Rahima Khanam, Tahreem Asghar, and Muhammad Hussain. 2025. Comparative Performance Evaluation of YOLOv5, YOLOv8, and YOLOv11 for Solar Panel Defect Detection. In Solar, Vol. 5. MDPI, 6."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i4.28076"},{"key":"e_1_3_2_1_24_1","volume-title":"Rethinking Features-Fused-Pyramid-Neck for Object Detection. In European Conference on Computer Vision. Springer, 74\u201390","author":"Li Hulin","year":"2024","unstructured":"Hulin Li. 2024. Rethinking Features-Fused-Pyramid-Neck for Object Detection. In European Conference on Computer Vision. Springer, 74\u201390."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_3_2_1_26_1","volume-title":"European Conference on Computer Vision. Springer, 420\u2013437","author":"Liu Fangcen","year":"2024","unstructured":"Fangcen Liu, Chenqiang Gao, Yaming Zhang, Junjie Guo, Jinghao Wang, and Deyu Meng. 2024. InfMAE: A foundation model in the infrared modality. In European Conference on Computer Vision. Springer, 420\u2013437."},{"key":"e_1_3_2_1_27_1","volume-title":"European Conference on Computer Vision. Springer, 213\u2013231","author":"Liu Jiahui","year":"2024","unstructured":"Jiahui Liu, Xin Wen, Shizhen Zhao, Yingxian Chen, and Xiaojuan Qi. 2024. Can OOD Object Detectors Learn from Foundation Models?. In European Conference on Computer Vision. Springer, 213\u2013231."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","first-page":"112245","DOI":"10.1016\/j.solener.2023.112245","article-title":"An efficient CNN-based detector for photovoltaic module cells defect detection in electroluminescence images","volume":"267","author":"Liu Qing","year":"2024","unstructured":"Qing Liu, Min Liu, Chenze Wang, and QM Jonathan Wu. 2024. An efficient CNN-based detector for photovoltaic module cells defect detection in electroluminescence images. Solar Energy 267 (2024), 112245.","journal-title":"Solar Energy"},{"key":"e_1_3_2_1_29_1","volume-title":"Rethinking domain generalization: Discriminability and generalizability","author":"Long Shaocong","year":"2024","unstructured":"Shaocong Long, Qianyu Zhou, Chenhao Ying, Lizhuang Ma, and Yuan Luo. 2024. Rethinking domain generalization: Discriminability and generalizability. IEEE Transactions on Circuits and Systems for Video Technology (2024)."},{"key":"e_1_3_2_1_30_1","volume-title":"Remote Sensing: A survey","author":"Lu Siqi","year":"2025","unstructured":"Siqi Lu, Junlin Guo, James R Zimmer-Dauphinee, Jordan M Nieusma, Xiao Wang, Steven A Wernke, Yuankai Huo, et al. 2025. Vision Foundation Models in Remote Sensing: A survey. IEEE Geoscience and Remote Sensing Magazine (2025)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","first-page":"114980","DOI":"10.1016\/j.rser.2024.114980","article-title":"Methodological approaches for resource recovery from end-of-life panels of different generations of photovoltaic technologies-A review","volume":"207","author":"Mukwevho Nehemiah","year":"2025","unstructured":"Nehemiah Mukwevho, Andile Mkhohlakali, Napo Ntsasa, James Sehata, Luke Chimuka, James Tshilongo, and Mokgehle R Letsoalo. 2025. Methodological approaches for resource recovery from end-of-life panels of different generations of photovoltaic technologies-A review. Renewable and Sustainable Energy Reviews 207 (2025), 114980","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"e_1_3_2_1_32_1","volume-title":"A survey on deep domain adaptation and tiny object detection challenges, techniques and datasets. arXiv preprint arXiv:2107.07927","author":"Muzammul Muhammed","year":"2021","unstructured":"Muhammed Muzammul and Xi Li. 2021. A survey on deep domain adaptation and tiny object detection challenges, techniques and datasets. arXiv preprint arXiv:2107.07927 (2021)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/j.mset.2019.07.002","article-title":"An overview of solar power (PV systems) integration into electricity grids","volume":"2","author":"Nwaigwe KN","year":"2019","unstructured":"KN Nwaigwe, Philemon Mutabilwa, and Edward Dintwa. 2019. An overview of solar power (PV systems) integration into electricity grids. Materials Science for Energy Technologies 2, 3 (2019), 629\u2013633.","journal-title":"Materials Science for Energy Technologies"},{"key":"e_1_3_2_1_34_1","unstructured":"Maxime Oquab Timoth\u00e9e Darcet Th\u00e9o Moutakanni Huy Vo Marc Szafraniec Vasil Khalidov Pierre Fernandez Daniel Haziza Francisco Massa Alaaeldin El-Nouby et al. 2023. Dinov2: Learning robust visual features without supervision. arXiv preprint arXiv:2304.07193 (2023)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2024.118866"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710772"},{"key":"e_1_3_2_1_37_1","volume-title":"A review of solar photovoltaic technologies. Renewable and sustainable energy reviews 15, 3","author":"Parida Bhubaneswari","year":"2011","unstructured":"Bhubaneswari Parida, Selvarasan Iniyan, and Ranko Goic. 2011. A review of solar photovoltaic technologies. Renewable and sustainable energy reviews 15, 3 (2011), 1625\u20131636."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","first-page":"118718","DOI":"10.1016\/j.enconman.2024.118718","article-title":"An innovative transformer neural network for fault detection and classification for photovoltaic modules","volume":"314","author":"Ramadan EA","year":"2024","unstructured":"EA Ramadan, Nada M Moawad, Belal A Abouzalm, Ali A Sakr, Wessam F Abouzaid, and Ghada M El-Banby. 2024. An innovative transformer neural network for fault detection and classification for photovoltaic modules. Energy Conversion and Management 314 (2024), 118718.","journal-title":"Energy Conversion and Management"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3070507"},{"key":"e_1_3_2_1_40_1","volume-title":"International Conference on Image, Vision and Intelligent Systems. Springer, 236\u2013248","author":"Sun Yuxuan","year":"2023","unstructured":"Yuxuan Sun, Yuanqin Meng, Qingbo Wang, Minghua Tang, Tao Shen, and Qingwang Wang. 2023. Visible and infrared image fusion for object detection: a survey. In International Conference on Image, Vision and Intelligent Systems. Springer, 236\u2013248."},{"key":"e_1_3_2_1_41_1","volume-title":"Module defect detection and diagnosis for intelligent maintenance of solar photovoltaic plants: Techniques, systems and perspectives. Energy","author":"Tang Wuqin","year":"2024","unstructured":"Wuqin Tang, Qiang Yang, Zhou Dai, and Wenjun Yan. 2024. Module defect detection and diagnosis for intelligent maintenance of solar photovoltaic plants: Techniques, systems and perspectives. Energy (2024), 131222."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"e_1_3_2_1_43_1","volume-title":"Proceedings of the IEEE\/CVF international conference on computer vision. 3623\u20133632","author":"Wang Guan'an","year":"2019","unstructured":"Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, and Zengguang Hou. 2019. RGB-infrared cross-modality person reidentification via joint pixel and feature alignment. In Proceedings of the IEEE\/CVF international conference on computer vision. 3623\u20133632."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6894"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"38","author":"Wu Fan","year":"2024","unstructured":"Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, and Nanyang Ye. 2024. G-nas: Generalizable neural architecture search for single domain generalization object detection. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38. 5958\u20135966."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00363"},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 5541\u20135549","author":"Xiao Yiming","year":"2024","unstructured":"Yiming Xiao, Fanman Meng, Qingbo Wu, Linfeng Xu, Mingzhou He, and Hongliang Li. 2024. Gm-detr: Generalized muiltispectral detection transformer with efficient fusion encoder for visible-infrared detection. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 5541\u20135549."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","first-page":"e0310742","DOI":"10.1371\/journal.pone.0310742","article-title":"ST-YOLO: A defect detection method for photovoltaic modules based on infrared thermal imaging and machine vision technology","volume":"19","author":"Xie Hanfei","year":"2024","unstructured":"Hanfei Xie, Baoxi Yuan, Chengyu Hu, Yujie Gao, Feng Wang, Chunlan Wang, Yuqian Wang, and Peng Chu. 2024. ST-YOLO: A defect detection method for photovoltaic modules based on infrared thermal imaging and machine vision technology. PloS one 19, 12 (2024), e0310742.","journal-title":"PloS one"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109347"},{"key":"e_1_3_2_1_50_1","first-page":"6113260","article-title":"PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels","volume":"2024","author":"Yin Wang","year":"2024","unstructured":"Wang Yin, Zhao Jingyong, Xie Gang, Zhao Zhicheng, and Hu Xiao. 2024. PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels. International Journal of Photoenergy 2024, 1 (2024), 6113260.","journal-title":"International Journal of Photoenergy"},{"key":"e_1_3_2_1_51_1","first-page":"58423","article-title":"Towards Unsupervised Model Selection for Domain Adaptive Object Detection","volume":"37","author":"Yu Hengfu","year":"2024","unstructured":"Hengfu Yu, Jinhong Deng, Wen Li, and Lixin Duan. 2024. Towards Unsupervised Model Selection for Domain Adaptive Object Detection. Advances in Neural Information Processing Systems 37 (2024), 58423\u201358444.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_52_1","volume-title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation. CAAI Artificial Intelligence Research","author":"Zheng Peng","year":"2024","unstructured":"Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, and Nicu Sebe. 2024. Bilateral Reference for High-Resolution Dichotomous Image Segmentation. CAAI Artificial Intelligence Research (2024)."},{"key":"e_1_3_2_1_53_1","volume-title":"Domain generalization: A survey","author":"Zhou Kaiyang","year":"2022","unstructured":"Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy. 2022. Domain generalization: A survey. IEEE transactions on pattern analysis and machine intelligence 45, 4 (2022), 4396\u20134415."},{"key":"e_1_3_2_1_54_1","volume-title":"Open world object detection in the era of foundation models. arXiv preprint arXiv:2312.05745","author":"Zohar Orr","year":"2023","unstructured":"Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, and Kuan-Chieh Wang. 2023. Open world object detection in the era of foundation models. arXiv preprint arXiv:2312.05745 (2023)."}],"event":{"name":"ACM MOBICOM '25: 31st Annual International Conference on Mobile Computing and Networking","location":"Kerry Hotel, Hong Kong Hong Kong China","acronym":"ACM MOBICOM '25","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 31st Annual International Conference on Mobile Computing and Networking"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3680207.3765266","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T13:23:55Z","timestamp":1763731435000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3680207.3765266"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,3]]},"references-count":54,"alternative-id":["10.1145\/3680207.3765266","10.1145\/3680207"],"URL":"https:\/\/doi.org\/10.1145\/3680207.3765266","relation":{},"subject":[],"published":{"date-parts":[[2025,11,3]]},"assertion":[{"value":"2025-11-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}