{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:31:17Z","timestamp":1772119877303,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","funder":[{"name":"CSIRO?National Science Foundation (US) AI Research Collaboration Program","award":["IIS-2302786"],"award-info":[{"award-number":["IIS-2302786"]}]},{"name":"Australian Research Council (ARC) Future Fellowships","award":["FT210100097"],"award-info":[{"award-number":["FT210100097"]}]},{"name":"Australian Research Council (ARC) Discovery Projects","award":["DP240101547"],"award-info":[{"award-number":["DP240101547"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761541","type":"proceedings-article","created":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T01:03:42Z","timestamp":1762563822000},"page":"5822-5830","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4822-9858","authenticated-orcid":false,"given":"Bo","family":"Li","sequence":"first","affiliation":[{"name":"Griffith University, Gold Coast, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0269-8006","authenticated-orcid":false,"given":"Yingqi","family":"Feng","sequence":"additional","affiliation":[{"name":"Florida Atlantic University, Boca Raton, FL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6833-4811","authenticated-orcid":false,"given":"Ming","family":"Jin","sequence":"additional","affiliation":[{"name":"Griffith University, Gold Coast, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0915-7787","authenticated-orcid":false,"given":"Xin","family":"Zheng","sequence":"additional","affiliation":[{"name":"Griffith University, Gold Coast, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6915-4468","authenticated-orcid":false,"given":"Yufei","family":"Tang","sequence":"additional","affiliation":[{"name":"Florida Atlantic University, Boca Raton, Fort Pierce, FL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9475-2593","authenticated-orcid":false,"given":"Laurent","family":"Cherubin","sequence":"additional","affiliation":[{"name":"Florida Atlantic University, Boca Raton, Fort Pierce, FL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2890-0057","authenticated-orcid":false,"given":"Can","family":"Wang","sequence":"additional","affiliation":[{"name":"Griffith University, Gold Coast, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6718-7584","authenticated-orcid":false,"given":"Alan Wee-Chung","family":"Liew","sequence":"additional","affiliation":[{"name":"Griffith University, Gold Coast, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9466-1672","authenticated-orcid":false,"given":"Qinghua","family":"Lu","sequence":"additional","affiliation":[{"name":"Data61, CISRO, Alexandria, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2170-7544","authenticated-orcid":false,"given":"Jingwei","family":"Yao","sequence":"additional","affiliation":[{"name":"Griffith University, Gold Coast, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2642-5467","authenticated-orcid":false,"given":"Hong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Griffith University, Gold Coast, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0794-527X","authenticated-orcid":false,"given":"Shirui","family":"Pan","sequence":"additional","affiliation":[{"name":"Griffith University, Gold Coast, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4129-9611","authenticated-orcid":false,"given":"Xingquan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Florida Atlantic University, Boca Raton, FL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-023-00727-2"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.010"},{"key":"e_1_3_2_1_3_1","volume-title":"Nearest neighbor imputation algorithms: a critical evaluation. BMC medical informatics and decision making 16","author":"Beretta Lorenzo","year":"2016","unstructured":"Lorenzo Beretta and Alessandro Santaniello. 2016. Nearest neighbor imputation algorithms: a critical evaluation. BMC medical informatics and decision making 16 (2016), 197--208."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1029\/JC093iC08p09223"},{"key":"e_1_3_2_1_5_1","volume-title":"Geographically weighted regression: a method for exploring spatial nonstationarity. Geographical analysis 28, 4","author":"Brunsdon Chris","year":"1996","unstructured":"Chris Brunsdon, A Stewart Fotheringham, and Martin E Charlton. 1996. Geographically weighted regression: a method for exploring spatial nonstationarity. Geographical analysis 28, 4 (1996), 281--298."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5670\/oceanog.2015.08"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06106-3"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/7137310"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.3389\/fmars.2024.1151868"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00837-0"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ocemod.2011.09.004"},{"key":"e_1_3_2_1_12_1","volume-title":"Generative adversarial nets. Advances in neural information processing systems 27","author":"Goodfellow Ian J","year":"2014","unstructured":"Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. Advances in neural information processing systems 27 (2014)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceano.2022.07.007"},{"key":"e_1_3_2_1_14_1","unstructured":"Shengnan Guo Tonglong Wei Yiheng Huang Miaomiao Zhao Ran Chen Yan Lin Youfang Lin and Huaiyu Wan. 2024. An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data. arXiv:2412.04733 [cs.LG] https:\/\/arxiv.org\/abs\/2412.04733"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00306"},{"key":"e_1_3_2_1_16_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1175\/JTECH-D-14-00179.1"},{"key":"e_1_3_2_1_18_1","volume-title":"International conference on machine learning. PMLR, 2921--2930","author":"Hwang Uiwon","year":"2019","unstructured":"Uiwon Hwang, Dahuin Jung, and Sungroh Yoon. 2019. Hexagan: Generative adversarial nets for real world classification. In International conference on machine learning. PMLR, 2921--2930."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs14143300"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICAML51583.2020.00014"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1214\/23-AOAS1850"},{"key":"e_1_3_2_1_22_1","volume-title":"How expressive are spectral-temporal graph neural networks for time series forecasting? arXiv preprint arXiv:2305.06587","author":"Jin Ming","year":"2023","unstructured":"Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, and Shirui Pan. 2023. How expressive are spectral-temporal graph neural networks for time series forecasting? arXiv preprint arXiv:2305.06587 (2023)."},{"key":"e_1_3_2_1_23_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=cGDAkQo1C0p","author":"Kim Taesung","year":"2022","unstructured":"Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, and Jaegul Choo. 2022. Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=cGDAkQo1C0p"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/322"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1080\/15481603.2023.2166377"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3117593"},{"key":"e_1_3_2_1_27_1","first-page":"5851","article-title":"Fine-grained urban flow inference with incomplete data","volume":"35","author":"Li Jiyue","year":"2022","unstructured":"Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, and Philip S Yu. 2022. Fine-grained urban flow inference with incomplete data. IEEE Transactions on Knowledge and Data Engineering 35, 6 (2022), 5851--5864.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00173"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.14355\/ijrsa.2013.0304.08"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679829"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-14-6445-2021"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1175\/JTECH-D-13-00241.1"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1002\/2015JC011343"},{"key":"e_1_3_2_1_34_1","volume-title":"Human induced salinity changes impact marine organisms and ecosystems. Global change biology 29, 17","author":"R\u00f6thig Till","year":"2023","unstructured":"Till R\u00f6thig, Stacey M Trevathan-Tackett, Christian R Voolstra, Cliff Ross, Samuel Chaffron, Paul J Durack, Laura M Warmuth, and Michael Sweet. 2023. Human induced salinity changes impact marine organisms and ecosystems. Global change biology 29, 17 (2023), 4731--4749."},{"key":"e_1_3_2_1_35_1","volume-title":"Links between salinity variation in the Caribbean and North Atlantic thermohaline circulation. Nature 428, 6979","author":"Schmidt Matthew W","year":"2004","unstructured":"Matthew W Schmidt, Howard J Spero, and David W Lea. 2004. Links between salinity variation in the Caribbean and North Atlantic thermohaline circulation. Nature 428, 6979 (2004), 160--163."},{"key":"e_1_3_2_1_36_1","volume-title":"Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. arXiv preprint arXiv:2505.23352","author":"Shen Xu","year":"2025","unstructured":"Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, and Xin Wang. 2025. Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. arXiv preprint arXiv:2505.23352 (2025)."},{"key":"e_1_3_2_1_37_1","volume-title":"Effects of changing salinity on the ecology of the marine environment. Stressors in the marine environment: physiological and ecological responses","author":"Smyth Katie","year":"2016","unstructured":"Katie Smyth and Mike Elliott. 2016. Effects of changing salinity on the ecology of the marine environment. Stressors in the marine environment: physiological and ecological responses; societal implications (2016), 161--174."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1175\/JTECH-D-19-0168.1"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3125012"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.6.520"},{"key":"e_1_3_2_1_41_1","unstructured":"George Veronis. 1972. On properties of seawater defined by temperature salinity and pressure. (1972)."},{"key":"e_1_3_2_1_42_1","volume-title":"Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned. arXiv preprint arXiv:1905.09418","author":"Voita Elena","year":"2019","unstructured":"Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, and Ivan Titov. 2019. Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned. arXiv preprint arXiv:1905.09418 (2019)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.05.033"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsr2.2004.12.023"},{"key":"e_1_3_2_1_45_1","volume-title":"International Conference on Learning Representations.","author":"Yoon Jinsung","year":"2018","unstructured":"Jinsung Yoon, William R Zame, and Mihaela Van Der Schaar. 2018. Deep sensing: Active sensing using multi-directional recurrent neural networks. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00848"},{"key":"e_1_3_2_1_47_1","article-title":"A global relationship between the ocean water cycle and near surface salinity","volume":"116","author":"Yu Lisan","year":"2011","unstructured":"Lisan Yu. 2011. A global relationship between the ocean water cycle and near surface salinity. Journal of Geophysical Research: Oceans 116, C10 (2011).","journal-title":"Journal of Geophysical Research: Oceans"},{"key":"e_1_3_2_1_48_1","volume-title":"International Conference on Machine Learning. PMLR, 41300--41313","author":"Zhang Xinlu","year":"2023","unstructured":"Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, and Linda Ruth Petzold. 2023. Improving medical predictions by irregular multimodal electronic health records modeling. In International Conference on Machine Learning. PMLR, 41300--41313."},{"key":"e_1_3_2_1_49_1","volume-title":"International Conference on Machine Learning. PMLR, 42159--42186","author":"Zhao He","year":"2023","unstructured":"He Zhao, Ke Sun, Amir Dezfouli, and Edwin V Bonilla. 2023. Transformed distribution matching for missing value imputation. In International Conference on Machine Learning. PMLR, 42159--42186."},{"key":"e_1_3_2_1_50_1","volume-title":"Test-Time Graph Neural Dataset Search With Generative Projection. In Forty-second International Conference on Machine Learning.","author":"Zheng Xin","year":"2025","unstructured":"Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, and Shirui Pan. 2025. Test-Time Graph Neural Dataset Search With Generative Projection. In Forty-second International Conference on Machine Learning."},{"key":"e_1_3_2_1_51_1","volume-title":"Online GNN Evaluation Under Test-time Graph Distribution Shifts. In The Twelfth International Conference on Learning Representations.","author":"Zheng Xin","year":"2024","unstructured":"Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, and Shirui Pan. 2024. Online GNN Evaluation Under Test-time Graph Distribution Shifts. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_52_1","volume-title":"Gnnevaluator: Evaluating gnn performance on unseen graphs without labels. Advances in Neural Information Processing Systems 36","author":"Zheng Xin","year":"2024","unstructured":"Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, and Shirui Pan. 2024. Gnnevaluator: Evaluating gnn performance on unseen graphs without labels. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_1_53_1","volume-title":"Xingquan Zhu, and Shirui Pan.","author":"Zheng Xin","year":"2024","unstructured":"Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, and Shirui Pan. 2024. Structure-free graph condensation: From large-scale graphs to condensed graph-free data. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107261"}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","location":"Seoul Republic of Korea","acronym":"CIKM '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the 34th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746252.3761541","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T01:16:38Z","timestamp":1765502198000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761541"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":54,"alternative-id":["10.1145\/3746252.3761541","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761541","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2025-11-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}