17 citations · 58 across the 10 of their papers we have counts for
13 papers
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations
Nilesh Kumar, Ruby Shrestha, Zhiyuan Li +1
Spurious correlation caused by subgroup underrepresentation has received increasing attention as a source of bias that can be perpetuated by deep neural networks (DNNs). Distributi…
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li +5
Prior knowledge about the imaging physics provides a mechanistic forward operator that plays an important role in image reconstruction, although myriad sources of possible errors i…
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning
Xiajun Jiang, Zhiyuan Li, Ryan Missel +6
Clinical adoption of personalized virtual heart simulations faces challenges in model personalization and expensive computation. While an ideal solution is an efficient neural surr…
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias
Kaifeng Lyu, Zhiyuan Li, Runzhe Wang +1
The generalization mystery of overparametrized deep nets has motivated efforts to understand how gradient descent (GD) converges to low-loss solutions that generalize well. Real-li…
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Limeng Qiao, Yuxuan Zhao, Zhiyuan Li +3
Few-shot object detection, which aims at detecting novel objects rapidly from extremely few annotated examples of previously unseen classes, has attracted significant research inte…
A reduced model for compressible viscous heat-conducting multicomponent flows
Chao Zhang, Lifeng Wang, Zhijun Shen +2
In the present paper we propose a reduced temperature non-equilibrium model for simulating multicomponent flows with inter-phase heat transfer, diffusion processes (including the v…