Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening
Z Yang, J Ji, S He, J Li, T He, R Bai, Z Zhu, YS Ong. Cited by 3
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Divdiff: A conditional diffusion model for diverse human motion prediction
H Yu, Y Hou, W Pei, YS Ong, Q Zhang. Cited by 9
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Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting
SC Nayak, S Dehuri, SB Cho. Cited by 4
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Waterseeker: Pioneering efficient detection of watermarked segments in large documents
L Pan, A Liu, Y Lu, Z Gao, Y Di, S Huang, L Wen, I King, PS Yu. Cited by 5
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Frnet: Frequency-based rotation network for long-term time series forecasting
X Zhang, S Feng, J Ma, H Lin, X Li, Y Ye, F Li, YS Ong. Cited by 10
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Diffusion model in normal gathering latent space for time series anomaly detection
J Han, S Feng, M Zhou, X Zhang, YS Ong, X Li. Cited by 5
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Multi-instance attention network for anomaly detection from multivariate time series
GB Jang, SB Cho. Cited by 10
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Adversarially robust few-shot learning via parameter co-distillation of similarity and class concept learners
J Dong, P Koniusz, J Chen, X Xie, YS Ong. Cited by 6
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Data-driven analysis of crustal and subduction seismic environments using interpretation of deep learning-based generalized ground motion models
J Fayaz, R Astroza, C Angione, M Medalla. Cited by 13
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Fedlfc: Towards efficient federated multilingual modeling with lora-based language family clustering
Z Guo, Y Zhang, Z Zhang, Z Xu, I King. Cited by 9
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Ease: Learning lightweight semantic feature adapters from large language models for ctr prediction
Z Qiu, J Zhu, Y Chen, G Cai, W Liu, Z Dong, I King. Cited by 9
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Surrogate models for seismic and pushover response prediction of steel special moment resisting frames
D Samadian, IB Muhit, A Occhipinti, N Dawood. Cited by 30