activity
20082023
most citedAntiferromagnetic Half-skyrmions and Bimerons at room temperature

227 citations · 391 across the 20 of their papers we have counts for

collaborators

20 papers

cond-mat.str-el2023

Switching of ferrotoroidal domains via an intermediate mixed state in the multiferroic Y-type hexaferrite BaSrMgFeO

Jiahao Chen, Francis Chmiel, Jieyi Liu +3

We report a detailed study of the magnetic field switching of ferrotoroidal/multiferroic domains in the Y-type hexaferrite compound BaSrMgFeO. By…

cs.CV2023★ 1 cited

Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution

Jiahao Chen, Bing Su

How to estimate the uncertainty of a given model is a crucial problem. Current calibration techniques treat different classes equally and thus implicitly assume that the distributi…

cs.LG2022★ 4 cited

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity

Faisal Hamman, Jiahao Chen, Sanghamitra Dutta

Existing regulations prohibit model developers from accessing protected attributes (gender, race, etc.), often resulting in fairness assessments on populations without knowing thei…

cs.LG2022★ 4 cited

Differentially Private Counterfactuals via Functional Mechanism

Fan Yang, Qizhang Feng, Kaixiong Zhou +2

Counterfactual, serving as one emerging type of model explanation, has attracted tons of attentions recently from both industry and academia. Different from the conventional featur…

astro-ph.EP2022★ 2 cited

Three-step Formation of Diamonds in Shock-compressed Hydrocarbons: Decomposition, Species Separation, and Nucleation

Bo Chen, Qiyu Zeng, Xiaoxiang Yu +4

The accumulation and circulation of carbon-hydrogen dictate the chemical evolution of ice giant planets. Species separation and diamond precipitation have been reported in carbon-h…

cs.LG2022★ 1 cited

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale

Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen +3

The success of DNNs is driven by the counter-intuitive ability of over-parameterized networks to generalize, even when they perfectly fit the training data. In practice, test error…