Publications

* Equal Contribution
<> Presentation at a Workshop
[Media] coverage report link

Conferences

• Interpretable Mortality Simulation and Decision-Making Agent for Heart Transplantation.
  Yingtao Luo, Rema Padman, Reza Skandari, Arman Kilic.
  INFORMS Annual Meeting 2024 [Contributed Presentation].

• Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning.
  Jannik Deuschel*, Caleb N Ellington*, Yingtao Luo, Benjamin J Lengerich, Pascal Friederich, Eric P Xing.
  International Conference on Machine Learning (ICML 2024). [code] [arXiv]

• BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition.
  Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun.
  International Conference on Machine Learning (ICML 2024) [Spotlight Paper]. [arXiv]

• Fairness without Demographics on Electronic Health Records.
  Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu.
  AAAI 2024 SSS Clinical Foundation Models [Contributed Talk]. [code] [Paper]

• GSLB: The Graph Structure Learning Benchmark.
  Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen,
  Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu.
  Advances in Neural Information Processing Systems 36 (NeurIPS 2023). [code] [Paper]

• Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations.
  Yingtao Luo*, Qiang Liu*, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023).
  <NeurIPS 2022 AI for Science>. [code] [Paper] [Talk]

• Deep Stable Representation Learning on Electronic Health Records.
  Yingtao Luo, Zhaocheng Liu, Qiang Liu.
  IEEE International Conference on Data Mining (ICDM 2022). [code] [Paper] [arXiv]

• Learning differential operators for interpretable time series modeling.
  Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022). [Paper] [Poster]

• AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
  Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jaeboum Kim,
  Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim.
  ACM International Conference on Information and Knowledge Management (CIKM 2023). [Paper]

• STAN: Spatio-Temporal Attention Network for the Next Location Recommendation.
  Yingtao Luo, Qiang Liu, Zhaocheng Liu.
  The Web Conference (WWW 2021). [code] [Paper] [talk] [media (AI科技评论)].

Journals

• Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE).
  Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang.
  Physical Review Research. [code] [PDF] [Paper] [media (机器之心)]

• RMT-Net: Reject-aware Multi-Task Network for Financial Credit Scoring.
  Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang.
  IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). [Paper]

• Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures.
  Ying-Tao Luo, Peng-Qi Li, Dong-Ting Li, Yu-Gui Peng, Zhi-Guo Geng,
  Shu-Huan Xie, Yong Li, Andrea Alù, Jie Zhu, Xue-Feng Zhu.
  Research (Flagship Science AAAS Partner Journal). <NeurIPS 2020 ML for Physical Science>. [code] [Paper] [media (Science)]

• Deep spatial representation learning of polyamide nanofiltration membranes.
  Ziyang Zhang*, Yingtao Luo*, Huawen Peng, Yu Chen., Rong-Zhen Liao, QiangZhao.
  Journal of Membrane Science. <NeurIPS 2020 ML4Molecule>. [code] [Paper]