Jie Bu - RankMe

17 papers A* 3A 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Achieving More with Less: Learning Generalizable Neural Networks With Less Labeled Data and Computational Overheads. Jie Bu
2023	J	`jnl`	Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation. CoRR M. Maruf, Arka Daw, Amartya Dutta, Jie Bu, Anuj Karpatne
2023	J	`jnl`	Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation. CoRR Jie Bu, Kazi Sajeed Mehrab, Anuj Karpatne
2023	A*	`conf`	Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling. ICML Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
2022	J	`jnl`	Rethinking the Importance of Sampling in Physics-informed Neural Networks. CoRR Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
2022	J	`jnl`	Robust multi-view subspace clustering based on consensus representation and orthogonal diversity. Neural Networks Nan Zhao, Jie Bu
2021	A*	`conf`	Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). NeurIPS Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne
2021	J	`jnl`	Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM). CoRR Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne
2021	—	`conf`	Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems. AAAI Spring Symposium: MLPS Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne
2021	A*	`conf`	PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. ICDM Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
2021	A	`conf`	Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs. SDM Jie Bu, Anuj Karpatne
2021	J	`jnl`	Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs. CoRR Jie Bu, Anuj Karpatne
2020	J	`jnl`	Beyond Observed Connections : Link Injection. CoRR Jie Bu, M. Maruf, Arka Daw
2020	J	`jnl`	Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics. CoRR Jie Bu, Mohannad Elhamod, Christopher Singh, Matthew Redell, Wei-Cheng Lee, Anuj Karpatne
2020	A	`conf`	PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. SDM Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
2020	J	`jnl`	Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. Big Data Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
2019	J	`jnl`	Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. CoRR Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne