{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:40:56Z","timestamp":1786120856940,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T00:00:00Z","timestamp":1786147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Science and Technology Major Project","award":["2024ZD1700104"],"award-info":[{"award-number":["2024ZD1700104"]}]},{"name":"National Natural Science Foundation of China","award":["52574191"],"award-info":[{"award-number":["52574191"]}]},{"name":"National Natural Science Foundation of China","award":["62072220"],"award-info":[{"award-number":["62072220"]}]},{"name":"National Natural Science Foundation of China","award":["62472311"],"award-info":[{"award-number":["62472311"]}]},{"name":"Young top talents of Liaoning \"Xingliao Talent Program","award":["XLYC2203003"],"award-info":[{"award-number":["XLYC2203003"]}]},{"name":"Liaoning Provincial Department of Education Research Platform Construction Project","award":["LJ232510140001"],"award-info":[{"award-number":["LJ232510140001"]}]},{"name":"Central Government Guides Local Science and Technology Development Fund (Liaoning Province Free Exploration Category-Provincial Youth A)","award":["2026JH6\/101100002"],"award-info":[{"award-number":["2026JH6\/101100002"]}]},{"name":"the Science and Technology Joint Program of Liaoning Province (Natural Science Foundation for Doctorate Scientific Research Starting Project)","award":["2025-BSLH-159"],"award-info":[{"award-number":["2025-BSLH-159"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,8,9]]},"DOI":"10.1145\/3770855.3818982","type":"proceedings-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T17:15:43Z","timestamp":1786036543000},"page":"10819-10830","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Deformation Localization Theory Guided Transfer Learning for Mining-induced Seismicity Risk Zone Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4524-1647","authenticated-orcid":false,"given":"Linlin","family":"Ding","sequence":"first","affiliation":[{"name":"Liaoning University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8860-5714","authenticated-orcid":false,"given":"Chenli","family":"Zhu","sequence":"additional","affiliation":[{"name":"Liaoning University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1565-2076","authenticated-orcid":false,"given":"Yuda","family":"Li","sequence":"additional","affiliation":[{"name":"Liaoning University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2011-3427","authenticated-orcid":false,"given":"Aina","family":"Wang","sequence":"additional","affiliation":[{"name":"Liaoning University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8167-2965","authenticated-orcid":false,"given":"Yishan","family":"Pan","sequence":"additional","affiliation":[{"name":"Liaoning University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9651-0651","authenticated-orcid":false,"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin University, Tian jin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,8]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"V11, 1","author":"Agliardi Federico","year":"2020","unstructured":"Federico Agliardi, Marco M Scuderi, Nicoletta Fusi, and Cristiano Collettini. 2020. Slow-to-fast transition of giant creeping rockslides modulated by undrained loading in basal shear zones. Nature communications, V11, 1 (2020), 1352."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jrmge.2020.05.009"},{"key":"e_1_3_2_2_3_1","volume-title":"V9, 1","author":"Cheng Xianggang","year":"2023","unstructured":"Xianggang Cheng, Wei Qiao, and Hu He. 2023. Study on deep learning methods for coal burst risk prediction based on mining-induced seismicity quantification. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, V9, 1 (2023), 145."},{"key":"e_1_3_2_2_4_1","volume-title":"V251","author":"Cui Zhiquan","year":"2024","unstructured":"Zhiquan Cui, Yanlin Lu, Xu Yan, and Shuya Cui. 2024. Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning. Expert Systems with Applications, V251 (2024), 123969."},{"key":"e_1_3_2_2_5_1","volume-title":"V55, 8","author":"Dai Lianpeng","year":"2022","unstructured":"Lianpeng Dai, Yishan Pan, Chengguo Zhang, Aiwen Wang, Ismet Canbulat, Tianwei Shi, Chunchen Wei, Ronghuan Cai, Feiyu Liu, and Xuepeng Gao. 2022. New criterion of critical mining stress index for risk evaluation of roadway rockburst. Rock Mechanics and Rock Engineering, V55, 8 (2022), 4783-4799."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/BESC57393.2022.9995230"},{"key":"e_1_3_2_2_7_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 Marchand, and Victor Lempitsky. 2016. Domain-adversarial training of neural networks. Journal of Machine Learning Research, V17, 59 (2016), 1-35.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_8_1","volume-title":"V13","author":"Gretton Arthur","year":"2012","unstructured":"Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Sch\u00f6lkopf, and Alexander Smola. 2012. A kernel two-sample test. Journal of Machine Learning Research, V13 (2012), 723-773."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3558745"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2024.105834"},{"key":"e_1_3_2_2_11_1","volume-title":"V48, 1","author":"Hao Shengwang","year":"2007","unstructured":"Shengwang Hao, Haiying Wang, Mengfei Xia, Fujiu Ke, and Yilong Bai. 2007. Relationship between strain localization and catastrophic rupture. Theoretical and Applied Fracture Mechanics, V48, 1 (2007), 41-49."},{"key":"e_1_3_2_2_12_1","volume-title":"V59","author":"He Shifeng","year":"2025","unstructured":"Shifeng He, Heping Xie, Minghui Li, Feng Cui, Jingyang Zhang, Jun Lu, and Farui Shi. 2025. The Spatial Hazard Early Warning Method for Coal Burst Based on Fusion of Multi-parameter Indicators. Rock Mechanics and Rock Engineering, V59 (2025), 3309-3335."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599853"},{"key":"e_1_3_2_2_14_1","volume-title":"2026 b. Dynamic domain-adversarial neural network for population-based structural health monitoring. Structural Health Monitoring","author":"Li Dan","year":"2026","unstructured":"Dan Li, Hao Zhang, Fei Ren, Wenhao Wang, and Jian Zhang. 2026 b. Dynamic domain-adversarial neural network for population-based structural health monitoring. Structural Health Monitoring (2026), 14759217261423223."},{"key":"e_1_3_2_2_15_1","volume-title":"V124","author":"Li Xuelong","year":"2021","unstructured":"Xuelong Li, Shaojie Chen, Enyuan Wang, and Zhonghui Li. 2021. Rockburst mechanism in coal rock with structural surface and the microseismic (MS) and electromagnetic radiation (EMR) response. Engineering Failure Analysis, V124 (2021), 105396."},{"key":"e_1_3_2_2_16_1","first-page":"967","article-title":"Transfer learning based search space design for hyperparameter tuning","author":"Li Yang","year":"2022","unstructured":"Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, and Bin Cui. 2022. Transfer learning based search space design for hyperparameter tuning. In Proceedings of SIGKDD. 967-977.","journal-title":"Proceedings of SIGKDD."},{"key":"e_1_3_2_2_17_1","volume-title":"V170","author":"Li Ziyang","year":"2026","unstructured":"Ziyang Li, Xiaochun Xiao, Jun Xu, Baijian Wu, and Yishan Pan. 2026 a. Experimental and numerical study on the anti-impact performance of fluted tapered tube. Tunnelling and Underground Space Technology, V170 (2026), 107418."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compgeo.2025.107412"},{"key":"e_1_3_2_2_19_1","first-page":"185","article-title":"Study on localization method of coal rock deformation for rock burst prediction","volume":"48","author":"Pan Yishan","year":"2023","unstructured":"Yishan Pan, Yimin Song, Chenli Zhu, He Ren, and Hailiang Xu. 2023. Study on localization method of coal rock deformation for rock burst prediction. Journal of China Coal Society, V48, 1 (2023), 185-198.","journal-title":"Journal of China Coal Society"},{"key":"e_1_3_2_2_20_1","volume-title":"V287","author":"Qiao Guodong","year":"2023","unstructured":"Guodong Qiao, Zegong Liu, Changping Yi, Kui Gao, and Gaoyuan Xuan. 2023. Quantitative assessment of the effect of in-situ stresses on blast-induced damage to rock. Computers & Structures, V287 (2023), 107116."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmst.2025.08.002"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"e_1_3_2_2_23_1","volume-title":"Prediction of relatively high-energy seismic events using spatial-temporal parametrisation of mining-induced seismicity. Rock Mechanics and Rock Engineering","author":"Si Guangyao","year":"2020","unstructured":"Guangyao Si, Wu Cai, Shuyu Wang, and Xu Li. 2020. Prediction of relatively high-energy seismic events using spatial-temporal parametrisation of mining-induced seismicity. Rock Mechanics and Rock Engineering (2020), 1-22."},{"key":"e_1_3_2_2_24_1","first-page":"22","article-title":"Weather image recognition based on transfer learning","volume":"40","author":"Sun Weishuai","year":"2021","unstructured":"Weishuai Sun. 2021. Weather image recognition based on transfer learning. Journal of Xihua University (Natural Science Edition), V40, 1 (2021), 22-26.","journal-title":"Journal of Xihua University (Natural Science Edition)"},{"key":"e_1_3_2_2_25_1","volume-title":"V138","author":"Tian Jichen","year":"2024","unstructured":"Jichen Tian, Chen Chen, Xiang Lu, Yanling Li, and Jiankang Chen. 2024. Deep transfer learning-based time-varying model for deformation monitoring of high earth-rock dams. Engineering Applications of Artificial Intelligence, V138 (2024), 109310."},{"key":"e_1_3_2_2_26_1","first-page":"2573","article-title":"Dynamic identification method and its application of multiple geophysical indicators in impact danger areas","volume":"49","author":"Wang Aiwen","year":"2024","unstructured":"Aiwen Wang, Chao Li, Yishan Pan, Yimin Song, Dewei Fan, Chuanqi Wei, Xinhe Yu, and Chuang Lu. 2024a. Dynamic identification method and its application of multiple geophysical indicators in impact danger areas. Journal of China Coal Society, V49, 06 (2024), 2573-2588.","journal-title":"Journal of China Coal Society"},{"key":"e_1_3_2_2_27_1","volume-title":"V15, 15","author":"Wang Huaixiu","year":"2025","unstructured":"Huaixiu Wang and Haomiao Wang. 2025. Research on Microseismic Magnitude Prediction Method Based on Improved Residual Network and Transfer Learning. Applied Sciences, V15, 15 (2025), 8246."},{"key":"e_1_3_2_2_28_1","volume-title":"V2022","author":"Wang Tao","year":"2022","unstructured":"Tao Wang, Weizhong Zhang, Hongbao Zhao, Lina Ge, Wenpu Li, and Huan Zhang. 2022b. Strain Field Evolution and Constitutive Model of Coal considering the Effect of Beddings. Lithosphere, V2022, 1 (2022), 2724512."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2022.105034"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","first-page":"3973","DOI":"10.1016\/j.jrmge.2024.08.022","article-title":"Evolution characteristics of an induced electric charge signal and identification method of charge for instability failure in loaded coal","volume":"17","author":"Wang Wei","year":"2024","unstructured":"Wei Wang, Like Zhao, Yishan Pan, Hongbin Li, Hao Luo, Xueqi Zhang, Yonghui Xiao, Shuwei Hu, and Xiaoliang Li. 2024b. Evolution characteristics of an induced electric charge signal and identification method of charge for instability failure in loaded coal. Journal of Rock Mechanics and Geotechnical Engineering, V17, 7 (2024), 3973-3993.","journal-title":"Journal of Rock Mechanics and Geotechnical Engineering"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.3390\/s18124436"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmst.2024.01.003"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1177\/1056789519857121"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2024.105888"},{"key":"e_1_3_2_2_36_1","first-page":"1785","article-title":"Graphlora: Structure-aware contrastive low-rank adaptation for cross-graph transfer learning","author":"Yang ZheRui","year":"2025","unstructured":"ZheRui Yang, Jindong Han, ChangDong Wang, and Hao Liu. 2025. Graphlora: Structure-aware contrastive low-rank adaptation for cross-graph transfer learning. In Proceedings of SIGKDD. 1785-1796.","journal-title":"Proceedings of SIGKDD."},{"key":"e_1_3_2_2_37_1","volume-title":"V168","author":"Yuan Xiao","year":"2026","unstructured":"Xiao Yuan, Shuying Wang, Tongming Qu, Junhao Zeng, Pengfei Liu, and Xiangsheng Chen. 2026. Knowledge-assisted deep transfer learning for muck clogging identification during mechanized shield tunneling. Tunnelling and Underground Space Technology, V168 (2026), 107124."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40789-022-00562-5"},{"key":"e_1_3_2_2_39_1","volume-title":"V430","author":"Zhou XiaoPing","year":"2024","unstructured":"XiaoPing Zhou and XiangLong Yu. 2024. Transfer learning enhanced nonlocal energy-informed neural network for quasi-static fracture in rock-like materials. Computer Methods in Applied Mechanics and Engineering, V430 (2024), 117226."}],"event":{"name":"KDD '26: The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Jeju Island Republic of Korea","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T01:20:27Z","timestamp":1786065627000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3770855.3818982"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,8]]},"references-count":39,"alternative-id":["10.1145\/3770855.3818982","10.1145\/3770855"],"URL":"https:\/\/doi.org\/10.1145\/3770855.3818982","relation":{},"subject":[],"published":{"date-parts":[[2026,8,8]]},"assertion":[{"value":"2026-08-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}