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Shixiang Zhu

Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption

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Nov 19, 2024
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Recurrent Neural Goodness-of-Fit Test for Time Series

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Oct 17, 2024
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Optimizing Probabilistic Conformal Prediction with Vectorized Non-Conformity Scores

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Oct 17, 2024
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Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation

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Sep 17, 2024
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New User Event Prediction Through the Lens of Causal Inference

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Jul 10, 2024
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TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing

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Jun 23, 2024
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Counterfactual Fairness through Transforming Data Orthogonal to Bias

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Mar 26, 2024
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Bayesian Optimization with Hidden Constraints via Latent Decision Models

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Oct 27, 2023
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Detecting Electricity Service Equity Issues with Transfer Counterfactual Learning on Large-Scale Outage Datasets

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Oct 05, 2023
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Uncertainty-Aware Robust Learning on Noisy Graphs

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Jun 14, 2023
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