River monitoring stations record multiple hydro-environmental variables over a common river-network topology. While their sampling frequencies and temporal dynamics differ substantially, shared riverine drivers imply that densely observed hydrological variables can inform sparsely sampled water-quality targets; the pra...
Yaotian Zhu, Ruiyao Xu, Zhaoyang Guan et al.· Proceedings of the 32nd ACM...· 0 citations
Modern machine learning techniques, particularly deep learning, have shown remarkable efficacy in numerous knowledge discovery and data mining applications. However, the advancement of these methods is frequently impeded by resource constraint challenges in many scenarios, such as limited labeled data (data-level), sma...
Chu-Xu Zhang, Kai-Ze Ding, D. Xu et al.· Proceedings of the 32nd ACM...· 0 citations
Lead optimization in drug discovery requires iteratively refining molecular candidates while preserving structural similarity to the original compound. Since each evaluation is costly, sample efficiency, the ability to achieve strong performance with limited oracle calls, becomes critical. Existing methods, from geneti...
Ziqing Wang, Yibo Wen, William Pattie et al.· Proceedings of the 32nd ACM...· 0 citations
Lead optimization in drug discovery requires iteratively refining molecular candidates while preserving structural similarity to the original compound. Since each evaluation is costly, sample efficiency, the ability to achieve strong performance with limited oracle calls, becomes critical. Existing methods, from geneti...
Ziqing Wang, Yibo Wen, William Pattie et al.· Proceedings of the 32nd ACM...· 0 citations
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