Publications

Generative Model

1. A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
   [Openreview]
   Huan He, William hao, Yuanzhe Xi, Yong Chen, Bradley Malin, Joyce Ho
   In International Conference on Learning Representations (ICLR) 2024
   

2. MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model
   [Arxiv(Full Version)]
   Huan He, Shifan Zhao, Joyce C Ho, Yuanzhe Xi
   

3. AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows
   [Paper] [Code]
   Difeng Cai, Yuliang Ji, Huan He, Qiang Ye, Yuanzhe Xi.
   In International Conference on Uncertainty in Artificial Intelligence (UAI) 2022.

4. GDA-AM: On the Effectiveness of Solving Minimax Optimizaton by Anderson Mixing
   [Arxiv(Full Version)] [Paper] [Code]
   Huan He, Shifan Zhao, Yuanzhe Xi, Joyce C Ho, Yousef Saad.
   In International Conference on Learning Representations (ICLR) 2022.

5. AGE: Enhancing the Convergence on GANs using Alternating extra-gradient with Gradient Extrapolation
   Huan He, Yuanzhe Xi, Joyce C Ho.
   In Deep Generative Models (DGMs) and Applications @ NeurIPS 2021 Oral.

Scientific Computing and Numerical Analysis

1. NLTGCR: A class of Nonlinear Acceleration Procedures based on Conjugate Residuals
   [Arxiv(Full Version)] [Paper]
   Huan He, Ziyuan Tang, Shifan Zhao, Yousef Saad, Yuanzhe Xi
   In SIAM Journal on Matrix Analysis and Applications (SIMAX).
   

2. Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches N [Arxiv(Full Version)]
   Ru Huang, Kai Chang, Huan He, Ruipeng Li, Yuanzhe Xi
   

3. An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian
   [Arxiv(Full Version)] [Paper]
   Huan He, Shifan Zhao, Yousef Saad, Joyce C Ho, Yuanzhe Xi
   

4. Fast and Accurate Tensor Decomposition without a High-Performance Computing Machin
   [Paper] [Code]
   Huan He, Yuanzhe Xi, Joyce C Ho.
   In International Conference on BigData (BIGDATA) 2020.

5. Accelerated SGD for tensor decomposition of sparse count data
   Huan He, Yuanzhe Xi, Joyce C Ho.
   In International Conference on Data Mining Workshops (ICDMW) 2020.

6. SGranite: Distributed tensor decomposition for large scale health analytics
   [Paper]
   Huan He, Jette Henderson, Joyce C Ho.
   In Proceedings of The Web Conference (WWW) 2019.

Machine Learning

1. Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
   [Arxiv(Full Version)] [Paper]
   Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik.
   In Conference on Neural Information Processing Systems (Neurips) 2023, Spotlight
   

2. Domain Adaptation for Time Series Under Feature and Label Shifts
   [Paper] [Code] [Talk]
   Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik.
   In International Conference on Machine Learning (ICML) 2023

3. GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
   [Paper] [Code]
   Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik.
   In International Conference on Learning Representations (ICLR) 2023.

4. SGranite: Distributed tensor decomposition for large scale health analytics
   [Paper]
   Huan He, Jette Henderson, Joyce C Ho.
   In Proceedings of The Web Conference (WWW) 2019.

5. Phenotyping through Semi-Supervised Tensor Factorization (PSST)
   [Paper]
   Jette Henderson, Huan He, Bradley A Malin, Joshua C Denny, Abel N Kho, Joydeep Ghosh, and Joyce C Ho.
   In AMIA Annual Symposium proceedings (AMIA) 2018.