Shandian Zhe

1. Multi-Fidelity Bayesian Optimization via Deep Neural Networks
   2020/07/06 by Shibo Li, Li, Shibo, Wei Xing +5 · 6 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Multi-Resolution Active Learning of Fourier Neural Operators
   2023/09/29 by Shibo Li, Xin Yu, Li, Shibo +9 · 6 citations
   Computer Science · Materials Science · Physics and Astronomy · #Machine Learning and Algorithms #Machine Learning in Materials Science #Model Reduction and Neural Networks
3. Macroscopic traffic flow modeling with physics regularized Gaussian process: A new insight into machine learning applications in transportation
   2021/04/01 by Yun Yuan, Zhao Zhang, Xianfeng Terry Yang +1 · 3 citations
4. Batch Multi-Fidelity Active Learning with Budget Constraints
   2022/10/23 by Shibo Li, Jeff M. Phillips, Li, Shibo +7 · 3 citations
   Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Algorithms and Data Compression
5. A kernel framework for learning differential equations and their solution operators
   2024/02/15 by Da Long, Nicole Mrvaljević, Shandian Zhe +1 · 3 citations
   Decision Sciences · Engineering · Physics and Astronomy · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Structural Health Monitoring Techniques
6. ElastoGen: 4D Generative Elastodynamics
   2024/05/23 by Yutao Feng, Feng, Yutao, Yintong Shang +17 · 3 citations
   Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG) #Manufacturing Process and Optimization
7. Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
   2024/10/15 by Zhitong Xu, Xu, Zhitong, Da Long +9 · 4 citations
   Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Model Reduction and Neural Networks #Numerical methods for differential equations
8. Conditional Expectation Propagation
   2019/10/27 by Zheng Wang, Wang, Zheng, Shandian Zhe +1 · 1 citation
   Computer Science · #Error Correcting Code Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
9. Physics Informed Deep Kernel Learning
   2020/06/08 by Zheng Wang, Wang, Zheng, Wei Xing +5 · 1 citation
   Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
10. Deep Multi-Fidelity Active Learning of High-dimensional Outputs
    2020/12/02 by Shibo Li, Robert M. Kirby, Li, Shibo +3 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Model Reduction and Neural Networks