{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T05:57:24Z","timestamp":1778306244712,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":73,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T00:00:00Z","timestamp":1724457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"University of California, Merced"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,25]]},"DOI":"10.1145\/3637528.3671533","type":"proceedings-article","created":{"date-parts":[[2024,8,25]],"date-time":"2024-08-25T04:55:12Z","timestamp":1724561712000},"page":"4862-4872","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2814-1166","authenticated-orcid":false,"given":"Yuning","family":"Chen","sequence":"first","affiliation":[{"name":"University of California, Merced, Merced, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8248-4894","authenticated-orcid":false,"given":"Kang","family":"Yang","sequence":"additional","affiliation":[{"name":"University of California, Merced, Merced, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1627-4194","authenticated-orcid":false,"given":"Zhiyu","family":"An","sequence":"additional","affiliation":[{"name":"University of California, Merced, Merced, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7087-4383","authenticated-orcid":false,"given":"Brady","family":"Holder","sequence":"additional","affiliation":[{"name":"University of California, Agriculture and Natural Resources, Parlier, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8671-8723","authenticated-orcid":false,"given":"Luke","family":"Paloutzian","sequence":"additional","affiliation":[{"name":"University of California, Agriculture and Natural Resources, Parlier, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6351-8657","authenticated-orcid":false,"given":"Khaled M.","family":"Bali","sequence":"additional","affiliation":[{"name":"University of California, Agriculture and Natural Resources, Parlier, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2732-6954","authenticated-orcid":false,"given":"Wan","family":"Du","sequence":"additional","affiliation":[{"name":"University of California, Merced, Merced, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,8,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Differentiable mpc for end-to-end planning and control. Advances in neural information processing systems 31","author":"Amos Brandon","year":"2018","unstructured":"Brandon Amos, Ivan Jimenez, Jacob Sacks, Byron Boots, and J Zico Kolter. 2018. Differentiable mpc for end-to-end planning and control. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_2_1_2_1","volume-title":"Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control. arXiv preprint arXiv:2403.00172","author":"An Zhiyu","year":"2024","unstructured":"Zhiyu An, Xianzhong Ding, and Wan Du. 2024. Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control. arXiv preprint arXiv:2403.00172 (2024)."},{"key":"e_1_3_2_1_3_1","volume-title":"Reward Bound for Behavioral Guarantee of Model-based Planning Agents. arXiv preprint arXiv:2402.13419","author":"An Zhiyu","year":"2024","unstructured":"Zhiyu An, Xianzhong Ding, and Wan Du. 2024. Reward Bound for Behavioral Guarantee of Model-based Planning Agents. arXiv preprint arXiv:2402.13419 (2024)."},{"key":"e_1_3_2_1_4_1","volume-title":"CLUE: Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation. In ACM BuildSys.","author":"An Zhiyu","year":"2023","unstructured":"Zhiyu An, Xianzhong Ding, Arya Rathee, and Wan Du. 2023. CLUE: Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation. In ACM BuildSys."},{"key":"e_1_3_2_1_5_1","volume-title":"Threshold effects and asymmetric price adjustments in US dairy markets. Canadian Journal of Agricultural Economics\/Revue canadienne d'agroeconomie 57, 2","author":"Awokuse Titus O","year":"2009","unstructured":"Titus O Awokuse and Xiaohong Wang. 2009. Threshold effects and asymmetric price adjustments in US dairy markets. Canadian Journal of Agricultural Economics\/Revue canadienne d'agroeconomie 57, 2 (2009), 269--286."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.agwat.2023.108296"},{"key":"e_1_3_2_1_7_1","volume-title":"Interaction between waterlogging injury and irradiance level in alfalfa. Crop science 42, 5","author":"Barta AL","year":"2002","unstructured":"AL Barta and RM Sulc. 2002. Interaction between waterlogging injury and irradiance level in alfalfa. Crop science 42, 5 (2002), 1529--1534."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2024.130818"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.2307\/2985674"},{"key":"e_1_3_2_1_10_1","unstructured":"California Department of Water Resources. 2014. Sustainable Groundwater Management Act (SGMA). https:\/\/water.ca.gov\/programs\/groundwater-management\/sgma-groundwater-management."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599396"},{"key":"e_1_3_2_1_12_1","volume-title":"Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho, Bart Van Merri\u00ebnboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014)."},{"key":"e_1_3_2_1_13_1","first-page":"20","article-title":"Oxygen transport to plant roots: modeling for physical understanding of soil aeration","volume":"67","author":"Cook FJ","year":"2003","unstructured":"FJ Cook and JH Knight. 2003. Oxygen transport to plant roots: modeling for physical understanding of soil aeration. Soil Science Society of America Journal 67, 1 (2003), 20--31.","journal-title":"Soil Science Society of America Journal"},{"key":"e_1_3_2_1_14_1","volume-title":"Managed winter flooding of alfalfa recharges ground water with minimal crop damage. California Agriculture 72, 1","author":"Dahlke Helen E","year":"2018","unstructured":"Helen E Dahlke, Andrew G Brown, Steve Orloff, Daniel H Putnam, and Toby O'Geen. 2018. Managed winter flooding of alfalfa recharges ground water with minimal crop damage. California Agriculture 72, 1 (2018)."},{"key":"e_1_3_2_1_15_1","volume-title":"Exploring deep reinforcement learning for holistic smart building control. ACM Transactions on Sensor Networks","author":"Ding Xianzhong","year":"2023","unstructured":"Xianzhong Ding, Alberto Cerpa, and Wan Du. 2023. Exploring deep reinforcement learning for holistic smart building control. ACM Transactions on Sensor Networks (2023)."},{"key":"e_1_3_2_1_16_1","volume-title":"Multi-zone HVAC Control with Model-Based Deep Reinforcement Learning. arXiv preprint arXiv:2302.00725","author":"Ding Xianzhong","year":"2023","unstructured":"Xianzhong Ding, Alberto Cerpa, and Wan Du. 2023. Multi-zone HVAC Control with Model-Based Deep Reinforcement Learning. arXiv preprint arXiv:2302.00725 (2023)."},{"key":"e_1_3_2_1_17_1","volume-title":"DRLIC: Deep Reinforcement Learning for Irrigation Control","author":"Ding Xianzhong","year":"2022","unstructured":"Xianzhong Ding and Wan Du. 2022. DRLIC: Deep Reinforcement Learning for Irrigation Control. In ACM\/IEEE IPSN."},{"key":"e_1_3_2_1_18_1","volume-title":"Optimizing irrigation efficiency using deep reinforcement learning in the field. ACM Transactions on Sensor Networks","author":"Ding Xianzhong","year":"2023","unstructured":"Xianzhong Ding and Wan Du. 2023. Optimizing irrigation efficiency using deep reinforcement learning in the field. ACM Transactions on Sensor Networks (2023)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599533"},{"key":"e_1_3_2_1_20_1","volume-title":"Water Stress and a Changing San Joaquin Valley","author":"Escriva-Bou Alvar","year":"2017","unstructured":"Alvar Escriva-Bou, Brian Gray, Sarge Green, Thomas Harter, Richard Howitt, Duncan MacEwan, and N Seavy. 2017. Water Stress and a Changing San Joaquin Valley. Public Policy Institute of California. https:\/\/www.ppic.org\/content\/pubs\/report\/R_0317EHR. pdf (2017)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i6.25914"},{"key":"e_1_3_2_1_22_1","volume-title":"DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. In International Conference on Learning Representations.","author":"Fan Wei","year":"2021","unstructured":"Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, and Tie-Yan Liu. 2021. DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.agwat.2021.107031"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/vzj2.20128"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/3618408.3618870"},{"key":"e_1_3_2_1_26_1","volume-title":"Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752","author":"Gu Albert","year":"2023","unstructured":"Albert Gu and Tri Dao. 2023. Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752 (2023)."},{"key":"e_1_3_2_1_27_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_28_1","volume-title":"International conference on machine learning. PMLR, 2901--2910","author":"Huang Biwei","year":"2019","unstructured":"Biwei Huang, Kun Zhang, Mingming Gong, and Clark Glymour. 2019. Causal discovery and forecasting in nonstationary environments with state-space models. In International conference on machine learning. PMLR, 2901--2910."},{"key":"e_1_3_2_1_29_1","volume-title":"Rapid groundwater decline and some cases of recovery in aquifers globally. Nature 625, 7996","author":"Jasechko Scott","year":"2024","unstructured":"Scott Jasechko, Hansj\u00f6rg Seybold, Debra Perrone, Ying Fan, Mohammad Shamsudduha, Richard G Taylor, Othman Fallatah, and James W Kirchner. 2024. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature 625, 7996 (2024), 715--721."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1029\/2018WR024019"},{"key":"e_1_3_2_1_31_1","volume-title":"A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings. Advances in Neural Information Processing Systems 36","author":"Lahn Nathaniel","year":"2024","unstructured":"Nathaniel Lahn, Sharath Raghvendra, and Kaiyi Zhang. 2024. A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Remi Lam Alvaro Sanchez-Gonzalez Matthew Willson Peter Wirnsberger Meire Fortunato Ferran Alet Suman Ravuri Timo Ewalds Zach Eaton-Rosen Weihua Hu et al. 2023. Learning skillful medium-range global weather forecasting. Science (2023) eadi2336.","DOI":"10.1126\/science.adi2336"},{"key":"e_1_3_2_1_33_1","volume-title":"Asynchronous federated reinforcement learning with policy gradient updates: Algorithm design and convergence analysis. arXiv preprint arXiv:2404.08003","author":"Lan Guangchen","year":"2024","unstructured":"Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, and Christopher G Brinton. 2024. Asynchronous federated reinforcement learning with policy gradient updates: Algorithm design and convergence analysis. arXiv preprint arXiv:2404.08003 (2024)."},{"key":"e_1_3_2_1_34_1","volume-title":"Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. Advances in Neural Information Processing Systems 36","author":"Lan Guangchen","year":"2024","unstructured":"Guangchen Lan, Han Wang, James Anderson, Christopher Brinton, and Vaneet Aggarwal. 2024. Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1080\/10643389.2022.2050160"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/OJIA.2021.3133477"},{"key":"e_1_3_2_1_37_1","volume-title":"Financial time-series forecasting: Towards synergizing performance and interoperability within a hybrid machine learning approach. arXiv preprint arXiv:2401.00534","author":"Liu Shun","year":"2023","unstructured":"Shun Liu, Kexin Wu, Chufeng Jiang, Bin Huang, and Danqing Ma. 2023. Financial time-series forecasting: Towards synergizing performance and interoperability within a hybrid machine learning approach. arXiv preprint arXiv:2401.00534 (2023)."},{"key":"e_1_3_2_1_38_1","volume-title":"iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. arXiv preprint arXiv:2310.06625","author":"Liu Yong","year":"2023","unstructured":"Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, and Mingsheng Long. 2023. iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. arXiv preprint arXiv:2310.06625 (2023)."},{"key":"e_1_3_2_1_39_1","volume-title":"Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting.","author":"Liu Yong","year":"2022","unstructured":"Yong Liu, Haixu Wu, Jianmin Wang, and Mingsheng Long. 2022. Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting. (2022)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450268.3453537"},{"key":"e_1_3_2_1_41_1","first-page":"1","article-title":"Leveraging the properties of mmwave signals for 3d finger motion tracking for interactive iot applications","volume":"6","author":"Liu Yilin","year":"2022","unstructured":"Yilin Liu, Shijia Zhang, Mahanth Gowda, and Srihari Nelakuditi. 2022. Leveraging the properties of mmwave signals for 3d finger motion tracking for interactive iot applications. Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, 3 (2022), 1--28.","journal-title":"Proceedings of the ACM on Measurement and Analysis of Computing Systems"},{"key":"e_1_3_2_1_42_1","volume-title":"Identifying agricultural managed aquifer recharge locations to benefit drinking water supply in rural communities. Water Resources Research 57, 3","author":"Marwaha Nisha","year":"2021","unstructured":"Nisha Marwaha, George Kourakos, Elad Levintal, and Helen E Dahlke. 2021. Identifying agricultural managed aquifer recharge locations to benefit drinking water supply in rural communities. Water Resources Research 57, 3 (2021), e2020WR028811."},{"key":"e_1_3_2_1_43_1","volume-title":"Examining Nitrate Leaching Potential and Nitrogen Cycle Dynamics under Agricultural Managed Aquifer Recharge in the Central Valley of California","author":"Murphy Nicholas Paul","unstructured":"Nicholas Paul Murphy. 2022. Examining Nitrate Leaching Potential and Nitrogen Cycle Dynamics under Agricultural Managed Aquifer Recharge in the Central Valley of California. University of California, Davis."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2020.114963"},{"key":"e_1_3_2_1_45_1","volume-title":"The Eleventh International Conference on Learning Representations.","author":"Nie Yuqi","year":"2022","unstructured":"Yuqi Nie, Nam H Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam. 2022. A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. In The Eleventh International Conference on Learning Representations."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1002\/2017WR020458"},{"key":"e_1_3_2_1_47_1","volume-title":"Helen E Dahlke, David A Doll, Rachel B Elkins, Allan Fulton, Graham E Fogg, Thomas Harter, Jan W Hopmans, Chuck Ingels, et al.","author":"O'Geen AT","year":"2015","unstructured":"AT O'Geen, Matthew BB Saal, Helen E Dahlke, David A Doll, Rachel B Elkins, Allan Fulton, Graham E Fogg, Thomas Harter, Jan W Hopmans, Chuck Ingels, et al. 2015. Soil suitability index identifies potential areas for groundwater banking on agricultural lands. California Agriculture 69, 2 (2015)."},{"key":"e_1_3_2_1_48_1","unstructured":"open-meteo. 2014. Free Weather API. https:\/\/open-meteo.com\/."},{"key":"e_1_3_2_1_49_1","volume-title":"International Conference on Learning Representations.","author":"Phatak Abhijeet","year":"2023","unstructured":"Abhijeet Phatak, Sharath Raghvendra, Chittaranjan Tripathy, and Kaiyi Zhang. 2023. Computing all optimal partial transports. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41893-019-0278-2"},{"key":"e_1_3_2_1_51_1","volume-title":"A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions. arXiv preprint arXiv:2405.03664","author":"Raghvendra Sharath","year":"2024","unstructured":"Sharath Raghvendra, Pouyan Shirzadian, and Kaiyi Zhang. 2024. A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions. arXiv preprint arXiv:2405.03664 (2024)."},{"key":"e_1_3_2_1_52_1","volume-title":"Castor: Causal Temporal Regime Structure Learning. arXiv preprint arXiv:2311.01412","author":"Rahmani Abdellah","year":"2023","unstructured":"Abdellah Rahmani and Pascal Frossard. 2023. Castor: Causal Temporal Regime Structure Learning. arXiv preprint arXiv:2311.01412 (2023)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467069"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.1667"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"crossref","unstructured":"Zhihao Shen Kang Yang Wan Du Xi Zhao and Jianhua Zou. 2019. DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction. In ACM SenSys.","DOI":"10.1145\/3356250.3360038"},{"key":"e_1_3_2_1_56_1","unstructured":"J Simnek M Sejna and M Th Van Genuchten. 1999. The HYDRUS-2D software package for simulating the two-dimensional movement of water heat and multiple solutes in variably-saturated media: Version 2.0. US Salinity Laboratory Agricultural Research Service."},{"key":"e_1_3_2_1_57_1","first-page":"2286","article-title":"Integration of Managed Aquifer Recharge into the Water Supply System in the Algarve Region","volume":"15","author":"Standen Kath","year":"2023","unstructured":"Kath Standen, Lu\u00eds Costa, Rui Hugman, and Jos\u00e9 Paulo Monteiro. 2023. Integration of Managed Aquifer Recharge into the Water Supply System in the Algarve Region, Portugal. Water 15, 12 (2023), 2286.","journal-title":"Portugal. Water"},{"key":"e_1_3_2_1_58_1","unstructured":"NRCS USDA. 1999. United States department of agriculture. Natural Resources Conservation Service. Plants Database. http:\/\/plants.usda.gov (accessed in 2000) (1999)."},{"key":"e_1_3_2_1_59_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_60_1","volume-title":"ClimODE: Climate Forecasting With Physics-informed Neural ODEs. In The Twelfth International Conference on Learning Representations.","author":"Verma Yogesh","year":"2023","unstructured":"Yogesh Verma, Markus Heinonen, and Vikas Garg. 2023. ClimODE: Climate Forecasting With Physics-informed Neural ODEs. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599392"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599849"},{"key":"e_1_3_2_1_63_1","volume-title":"International Conference on Learning Representations(ICLR).","author":"Wu Haixu","year":"2023","unstructured":"Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, and Mingsheng Long. 2023. TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. In International Conference on Learning Representations(ICLR)."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3570361.3592516"},{"key":"e_1_3_2_1_65_1","first-page":"173","article-title":"CloudEval-YAML: A Practical Benchmark for Cloud Configuration Generation","volume":"6","author":"Xu Yifei","year":"2024","unstructured":"Yifei Xu, Yuning Chen, Xumiao Zhang, Xianshang Lin, Pan Hu, Yunfei Ma, Songwu Lu, Wan Du, Zhuoqing Mao, Ennan Zhai, et al. 2024. CloudEval-YAML: A Practical Benchmark for Cloud Configuration Generation. Proceedings of Machine Learning and Systems 6 (2024), 173--195.","journal-title":"Proceedings of Machine Learning and Systems"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583120.3586969"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"crossref","unstructured":"Kang Yang Yuning Chen and Wan Du. 2024. OrchLoc: In-Orchard Localization via a Single LoRa Gateway and Generative Diffusion Model-based Fingerprinting. In ACM MobiSys.","DOI":"10.1145\/3643832.3661876"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3560905.3568547"},{"key":"e_1_3_2_1_69_1","volume-title":"A Low-Density Parity-Check Coding Scheme for LoRa Networking. ACM Transactions on Sensor Networks","author":"Yang Kang","year":"2024","unstructured":"Kang Yang and Wan Du. 2024. A Low-Density Parity-Check Coding Scheme for LoRa Networking. ACM Transactions on Sensor Networks (2024)."},{"key":"e_1_3_2_1_70_1","volume-title":"RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking","author":"Yang Kang","year":"2024","unstructured":"Kang Yang, Miaomiao Liu, and Wan Du. 2024. RALoRa: Rateless-Enabled Link Adaptation for LoRa Networking. IEEE\/ACM Transactions on Networking (2024), 1--16."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539274"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26317"},{"key":"e_1_3_2_1_73_1","volume-title":"Skilful nowcasting of extreme precipitation with NowcastNet. Nature 619, 7970","author":"Zhang Yuchen","year":"2023","unstructured":"Yuchen Zhang, Mingsheng Long, Kaiyuan Chen, Lanxiang Xing, Ronghua Jin, Michael I Jordan, and Jianmin Wang. 2023. Skilful nowcasting of extreme precipitation with NowcastNet. Nature 619, 7970 (2023), 526--532."}],"event":{"name":"KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Barcelona Spain","acronym":"KDD '24","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 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3671533","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3637528.3671533","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:04:19Z","timestamp":1750291459000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3671533"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,24]]},"references-count":73,"alternative-id":["10.1145\/3637528.3671533","10.1145\/3637528"],"URL":"https:\/\/doi.org\/10.1145\/3637528.3671533","relation":{},"subject":[],"published":{"date-parts":[[2024,8,24]]},"assertion":[{"value":"2024-08-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}