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Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.

Z. Li, Y. Fang, Y. Li, K. Ren, Y. Wang, X. Luo, J. Duan, C. Huang, D. Li, и L. Qiu. SMC, стр. 196-201. IEEE, (2023)

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Kan Ren

Kan Jiang

Pauline Kan

Guizhi Kan

Triantafillia Kan

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Activation Maximization Generative Adversarial Nets.Z. Zhou, H. Cai, S. Rong, Y. Song, K. Ren, W. Zhang, J. Wang, и Y. Yu. ICLR (Poster), OpenReview.net, (2018)Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.Y. Fang, Z. Tang, K. Ren, W. Liu, L. Zhao, J. Bian, D. Li, W. Zhang, Y. Yu, и T. Liu. KDD, стр. 4003-4012. ACM, (2023)A Deep Recurrent Survival Model for Unbiased Ranking.J. Jin, Y. Fang, W. Zhang, K. Ren, G. Zhou, J. Xu, Y. Yu, J. Wang, X. Zhu, и K. Gai. SIGIR, стр. 29-38. ACM, (2020)Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.S. Ding, K. Hu, Z. Zhang, K. Ren, W. Zhang, J. Yu, J. Wang, и Y. Shi. CoRR, (2024)Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling.Y. Fang, K. Ren, C. Shan, Y. Shen, Y. Li, W. Zhang, Y. Yu, и D. Li. AAAI, стр. 7530-7538. AAAI Press, (2023)CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.B. Jing, D. Zhou, K. Ren, и C. Yang. CoRR, (2024)Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling.K. Yi, Y. Wang, K. Ren, и D. Li. NeurIPS, (2023)Pulses Classification Based on Sparse Auto-Encoders Neural Networks.K. Ren, H. Ye, G. Gu, и Q. Chen. IEEE Access, (2019)3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.X. Zhu, K. chih Lee, G. Zhou, B. Jiang, Z. Wang, R. Tang, K. Ren, Q. Ai, и W. Zhang. KDD, стр. 4187-4188. ACM, (2021)Towards Inference Efficient Deep Ensemble Learning.Z. Li, K. Ren, Y. Yang, X. Jiang, Y. Yang, и D. Li. AAAI, стр. 8711-8719. AAAI Press, (2023)

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