Meihao Fan
Expertise in Hydro-climatology
Expertise in Hydro-climatology
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Singapore-MIT Alliance project and World Bank project
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Public Utilities Board (PUB) project
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PUB-TMSI-Monash University project
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ARC linkage grant and Department of Industry, NSW, Australia
Published in Wireless Communications and Mobile Computing, 2021
This paper is about Question Answering over Knowledge Base.
Recommended citation: Fan, Meihao, Lei Zhang, Siyao Xiao, and Yuru Liang. "Few-shot multi-hop question answering over knowledge base." arXiv preprint arXiv:2112.11909 (2021). https://onlinelibrary.wiley.com/doi/abs/10.1155/2022/8045535
Published in IEEE 40th International Conference on Data Engineering (ICDE), 2024
This paper is about LLM for Entity Resolution.
Recommended citation: Fan, Meihao, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, and Xiaoyong Du. "Cost-effective in-context learning for entity resolution: A design space exploration." In 2024 IEEE 40th International Conference on Data Engineering (ICDE), pp. 3696-3709. IEEE, 2024. https://ieeexplore.ieee.org/abstract/document/10597751
Published in , 2024
This paper is about Multi-agent framework for TableQA.
Recommended citation: Fan, Meihao, Ju Fan, Nan Tang, Lei Cao, Guoliang Li, and Xiaoyong Du. "AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework." arXiv preprint arXiv:2412.10422 (2024). https://arxiv.org/abs/2412.10422
Published in , 2025
This paper proposes Reward-SQL, a framework for improving Text-to-SQL reasoning using process-supervised reward models.
Recommended citation: Zhang, Yuxin, Meihao Fan, Ju Fan, Mingyang Yi, Yuyu Luo, Jian Tan, and Guoliang Li. "Reward-sql: Boosting text-to-sql via stepwise reasoning and process-supervised rewards." arXiv preprint arXiv:2505.04671 (2025). https://arxiv.org/pdf/2505.04671
The open-source R package NPRED is used to identify the meaningful predictors to the response from a large set of potential predictors.
The open-source software WASP is used for system modeling and prediction.
The open-source software WQM is used for post-processing numerical weather prediction.
Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems.
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Recommended citation: Jiang, Z., Molkenthin, F., & Sieker, H. (2016). Urban Surface Characteristics Study Using Time-area Function Model: A Case Study in Saudi Arabia. 12th International Conference on Hydroinformatics HIC 2016, Poster, Songdo Convensia Convention Center, 21-26 August 2016, FP-10.
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Recommended citation: Jiang, Z., Raghavan, S. V., Hur, J., Sun, Y., and Liong, S.-Y.: Impacts of Climate Change on Rice Crop Yields in Vietnam, Asia Oceania Geosciences Society (AOGS) 2017, Suntec Singapore Convention & Exhibition Centre, 6-11 August 2017, IG04-A026. Download talk here
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Recommended citation: Jiang, Z., Sharma, A., and Johnson, F.: Drought prediction for improved water resource management: A wavelet-based system prediction approach, STAHY 2019, Wentian Building, Hohai University, Nanjing, 19-20 October 2019. Download talk here
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Recommended citation: Jiang, Z., Sharma, A., and Johnson, F.: A wavelet-based method to analyse sustained hydrological anomalies under climate change, MODSIM 2019, National Convention Centre Canberra, 1-6 December 2019, K22. Download talk here
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Recommended citation: Sharma, A., Jiang, Z., and Johnson, F.: Forecasting drought revisited - the importance of spectral transformations to dominant atmospheric predictor variables, EGU General Assembly 2020, Online, 4-8 May 2020, EGU2020-12334, https://doi.org/10.5194/egusphere-egu2020-12334, 2020. Download talk here
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Recommended citation: Jiang, Z., Sharma, A. and Johnson, F., Hydro-climatological forecasting: A view from the spectral domain. In AGU Fall Meeting 2020. San Francisco, CA, USA, H184-07. Link Download PPT Video
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Recommended citation: Jiang, Z., Sharma, A., and Johnson, F.: Advanced wavelet-based variance transformation algorithms for ENSO forecasting over long lead times, MODSIM 2021, The University of Sydney and International Convention Centre, 5-10 December 2021, K5. Video
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Recommended citation: Jiang, Z., & Johnson F.: Applications of the wavelet-based method for postprocessing rainfall forecasts – Implications for urban flood forecasting, Asia Oceania Geosciences Society (AOGS) 2022, Singapore, 1-5 August 2022, HS37-A006. Download talk here
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Recommended citation: Jiang, Z., Sharma, A., & Johnson F.: Hydrologic forecasting over long lead times: A wavelet-based variance transformation approach, Asia Oceania Geosciences Society (AOGS) 2022, Singapore, 1-5 August 2022, HS34-A011. Download talk here
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Recommended citation: Jiang, Z., Choudhury, D., and Sharma, A.: Could the 2019-20 Australia bushfires or 2020-22 floods be predicted using CMIP decadal prediction?, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-10096, https://doi.org/10.5194/egusphere-egu23-10096, 2023. Download talk here
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Recommended citation: Johnson, F. and Jiang, Z.: Wavelet-based post-processing of NWP precipitation forecasts, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-14123, https://doi.org/10.5194/egusphere-egu23-14123, 2023. Download talk here
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Recommended citation: Jiang, Z., Kibria, G., and Sharma, A.: Enhancing water supply management through improved rainfall anomaly forecasting over medium to long term, International Union of Geodesy and Geophysics (IUGG) 2023, Berlin, Germany, 11–20 July 2023, IUGG23-4782, https://doi.org/10.57757/IUGG23-4782. Download talk here
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Recommended citation: Jiang, Z., Choudhury, D., and Sharma, A.: Unlocking the Future of Rainfall: Enhancing Interannual Forecasts with Spectral Transformations of CMIP Decadal Predictions, Asia Oceania Geosciences Society (AOGS) 2023, Singapore, 31 July-04 August 2023, HS10-A010. Download talk here
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Recommended citation: Jiang, Z., Kibria, G., and Sharma, A.: Navigating Water Resource Management: A Forecasting Framework for Interannual Drought Projections, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13279, https://doi.org/10.5194/egusphere-egu24-13279, 2024. Download talk here
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Recommended citation: Jiang, Z., Haberlandt, U., and Sharma, A.: Enhanced daily streamflow simulation for future climates using a non-parametric method with variable selection and transformation, Asia Oceania Geosciences Society (AOGS) 2024, South Korea, 23 June-28 June 2024, HS13-A009. Download talk here
Undergraduate course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2019
Masters course, School of Civil and Environmental Engineering, UNSW Sydney, 2023
Undergraduate course, School of Civil and Environmental Engineering, UNSW Sydney, 2024