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20152026
most citedFast Super-Resolution Imaging with Ultra-High Labeling Density Achieved by Joint Tagging Super-Resolution Optical Fluctuation Imaging (JT-SOFI)

74 citations · 189 across the 26 of their papers we have counts for

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Showing 2023Show all

11 papers · 1 filter

quant-ph2023★ 1 cited

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks

Hao-kai Zhang, Chenghong Zhu, Mingrui Jing +1

Quantum neural networks (QNNs) have been a promising framework in pursuing near-term quantum advantage in various fields, where many applications can be viewed as learning a quantu…

cs.LG2023★ 2 cited

On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay

Yicheng Li, Haobo Zhang, Qian Lin

The widely observed 'benign overfitting phenomenon' in the neural network literature raises the challenge to the 'bias-variance trade-off' doctrine in the statistical learning theo…

stat.ML2023★ 1 cited

Optimal Rate of Kernel Regression in Large Dimensions

Weihao Lu, Haobo Zhang, Yicheng Li +2

We perform a study on kernel regression for large-dimensional data (where the sample size is polynomially depending on the dimension of the samples, i.e., for…

cs.CR2023★ 5 cited

Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks

Hongcheng Gao, Hao Zhang, Yinpeng Dong +1

Text-to-image (T2I) diffusion models (DMs) have shown promise in generating high-quality images from textual descriptions. The real-world applications of these models require parti…

physics.optics2023

Probing Ring Resonator Sensor Based on Vernier Effect

Wenwen Zhang, Hao Zhang

The Vernier effect has seen extensive application in optical structures, serving to augment the free spectral range (FSR). A substantial FSR is vital in a myriad of applications in…

cs.LG2023★ 3 cited

Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model

Yibo Miao, Hongcheng Gao, Hao Zhang +1

The detection of machine-generated text, especially from large language models (LLMs), is crucial in preventing serious social problems resulting from their misuse. Some methods tr…

cond-mat.str-el2023★ 2 cited

Renormalized Classical Theory of Quantum Magnets

David Dahlbom, Hao Zhang, Zoha Laraib +3

We derive a renormalized classical spin (RCS) theory for quantum magnets by constraining a generalized classical theory that includes all multipolar fluctuations to a red…

math.ST2023★ 1 cited

On the Optimality of Misspecified Spectral Algorithms

Haobo Zhang, Yicheng Li, Qian Lin

In the misspecified spectral algorithms problem, researchers usually assume the underground true function , a less-smooth interpolation space of a re…

cs.CV2023★ 2 cited

RCA: Region Conditioned Adaptation for Visual Abductive Reasoning

Hao Zhang, Yeo Keat Ee, Basura Fernando

Visual abductive reasoning aims to make likely explanations for visual observations. We propose a simple yet effective Region Conditioned Adaptation, a hybrid parameter-efficient f…

astro-ph.HE2023★ 1 cited

The origin of power-law spectra in relativistic magnetic reconnection

Hao Zhang, Lorenzo Sironi, Dimitrios Giannios +1

Magnetic reconnection is often invoked as a source of high-energy particles, and in relativistic astrophysical systems it is regarded as a prime candidate for powering fast and bri…

cond-mat.mes-hall2023★ 1 cited

Charge and Energy Transfer Dynamics of Hybridized Exciton-Polaritons in 2D Halide Perovskites

Surendra B. Anantharaman, Jason Lynch, Christopher E. Stevens +14

Excitons, bound electron-hole pairs, in Two-Dimensional Hybrid Organic Inorganic Perovskites (2D HOIPs) are capable of forming hybrid light-matter states known as exciton-polariton…