Search Results for author: Hao Xie

Found 7 papers, 5 papers with code

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

1 code implementation14 Dec 2023 T-H. Hubert Chan, Hao Xie, Mengshi Zhao

Our main result is that the privacy guarantee for the gradient ADMM variant can be amplified proportionally to the number of iterations.

Efficient Numerical Algorithm for Large-Scale Damped Natural Gradient Descent

no code implementations26 Oct 2023 Yixiao Chen, Hao Xie, Han Wang

We propose a new algorithm for efficiently solving the damped Fisher matrix in large-scale scenarios where the number of parameters significantly exceeds the number of available samples.

Deep Variational Free Energy Approach to Dense Hydrogen

1 code implementation13 Sep 2022 Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang

We developed a deep generative model-based variational free energy approach to the equations of state of dense hydrogen.

$m^\ast$ of two-dimensional electron gas: a neural canonical transformation study

1 code implementation10 Jan 2022 Hao Xie, Linfeng Zhang, Lei Wang

The quasiparticle effective mass $m^\ast$ of interacting electrons is a fundamental quantity in the Fermi liquid theory.

Ab-initio study of interacting fermions at finite temperature with neural canonical transformation

1 code implementation18 May 2021 Hao Xie, Linfeng Zhang, Lei Wang

The variational density matrix is parametrized by a permutation equivariant many-body unitary transformation together with a discrete probabilistic model.

Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit

no code implementations26 Aug 2020 Tiankuang Zhou, Xing Lin, Jiamin Wu, Yitong Chen, Hao Xie, Yipeng Li, Jintao Fan, Huaqiang Wu, Lu Fang, Qionghai Dai

Here, we propose an optoelectronic reconfigurable computing paradigm by constructing a diffractive processing unit (DPU) that can efficiently support different neural networks and achieve a high model complexity with millions of neurons.

Structured Illumination in Spatial-Orientational Hyperspace

1 code implementation14 Dec 2017 Karl Zhanghao, Xingye Chen, Wenhui Liu, Meiqi Li, Chunyan Shan, Xiao Wang, Kun Zhao, Amit Lai, Hao Xie, Qionghai Dai, Peng Xi

The dipole nature of chromophore is important for both super-resolution microscopy and imaging molecular structure, which is nevertheless neglected in most microscopies, even including structured illumination microscopy (SIM) with polarized excitations.

Optics

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