Jie Bu
Orcid: 0000-0002-6200-7908
According to our database1,
Jie Bu
authored at least 16 papers
between 2019 and 2023.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2023
Achieving More with Less: Learning Generalizable Neural Networks With Less Labeled Data and Computational Overheads.
PhD thesis, 2023
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation.
CoRR, 2023
CoRR, 2023
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.
Proceedings of the International Conference on Machine Learning, 2023
2022
<i>CoPhy</i>-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems.
ACM Trans. Intell. Syst. Technol., 2022
Robust multi-view subspace clustering based on consensus representation and orthogonal diversity.
Neural Networks, 2022
CoRR, 2022
2021
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM).
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
2020
Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics.
CoRR, 2020
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems.
Big Data, 2020
PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
2019
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids.
CoRR, 2019