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Hanru Bai

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2020 – today

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2025
[c3]
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  dblp key:
  - conf/iclr/ZhengBD25
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Ronghua Zheng, Hanru Bai, Weiyang Ding:
KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting. ICLR 2025
[c2]
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Hanru Bai, Weiyang Ding:
KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis. ICML 2025
[i2]
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  - journals/corr/abs-2510-12220
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Hanru Bai, Weiyang Ding, Difan Zou:
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory. CoRR abs/2510.12220 (2025)
[i1]
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  - journals/corr/abs-2512-09267
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Ce Wang, Weihang Dai, Hanru Bai, Xiaomeng Li:
Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation. CoRR abs/2512.09267 (2025)
2024
[j1]
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  - journals/kbs/BaiHZ24
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Hanru Bai, Ming Huang, Ping Zhong:
Precise feature selection via non-convex regularized graph embedding and self-representation for unsupervised learning. Knowl. Based Syst. 296: 111900 (2024)
2023
[c1]
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  - electronic edition @ nips.cc (open access)
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  - conf/nips/DaiDBC023
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Weihang Dai, Yao Du, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li:
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation. NeurIPS 2023

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