Interferometric speckle visibility spectroscopy (iSVS) for measuring decorrelation time and dynamics of moving samples with enhanced signal-to-noise ratio and relaxed reference requirements

Kavli Affiliate: Changhuei Yang | First 5 Authors: Yu Xi Huang, Simon Mahler, Jerome Mertz, Changhuei Yang, | Summary: Diffusing wave spectroscopy (DWS) is a group of techniques used to measure the dynamics of a scattering medium in a non-invasive manner. DWS methods rely on detecting the speckle light field from the moving scattering media […]


Continue.. Interferometric speckle visibility spectroscopy (iSVS) for measuring decorrelation time and dynamics of moving samples with enhanced signal-to-noise ratio and relaxed reference requirements

Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Rui Cao, Yilin Luo, Jinhua Xu, Xiaofei Luo, Ku Geng | Summary: Photoacoustic computed tomography (PACT) is emerging as a new technique for functional brain imaging, primarily due to its capabilities in label-free hemodynamic imaging. Despite its potential, the transcranial application of PACT has encountered hurdles, […]


Continue.. Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging

Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Rui Cao, Yilin Luo, Jinhua Xu, Xiaofei Luo, Ku Geng | Summary: Photoacoustic computed tomography (PACT) is emerging as a new technique for functional brain imaging, primarily due to its capabilities in label-free hemodynamic imaging. Despite its potential, the transcranial application of PACT has encountered hurdles, […]


Continue.. Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging

Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI

Kavli Affiliate: Lihong Wang | First 5 Authors: Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens | Summary: Brain structural MRI has been widely used to assess the future progression of cognitive impairment (CI). Previous learning-based studies usually suffer from the issue of small-sized labeled training data, while there exist a huge […]


Continue.. Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI

High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Bohan Li, Zhiquan Yuan, Warren Jin, Lue Wu, Joel Guo | Summary: By self-injection-locking a 1560 nm distributed feedback semiconductor laser to a high-$Q$ silicon nitride resonator, a high-coherence 780 nm second harmonic signal is generated via the photogalvanic-induced second-order nonlinearity. A record-low frequency noise floor […]


Continue.. High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Bohan Li, Zhiquan Yuan, Warren Jin, Lue Wu, Joel Guo | Summary: By self-injection-locking a 1560 nm distributed feedback semiconductor laser to a high-$Q$ silicon nitride resonator, a high-coherence 780 nm second harmonic signal is generated via the photogalvanic-induced second-order nonlinearity. A record-low frequency noise floor […]


Continue.. High-coherence hybrid-integrated 780 nm source by self-injection-locked second-harmonic generation in a high-Q silicon-nitride resonator

Mode-locked laser in nanophotonic lithium niobate

Kavli Affiliate: Alireza Marandi | First 5 Authors: Qiushi Guo, Ryoto Sekine, James A. Williams, Benjamin K. Gutierrez, Robert M. Gray | Summary: Mode-locked lasers (MLLs) have enabled ultrafast sciences and technologies by generating ultrashort pulses with peak powers substantially exceeding their average powers. Recently, tremendous efforts have been focused on realizing integrated MLLs not […]


Continue.. Mode-locked laser in nanophotonic lithium niobate

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Little attention has been paid on underline{EA}rly underline{R}umor underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we construct BEARD, a new underline{B}enchmark dataset […]


Continue.. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Little attention has been paid on underline{EA}rly underline{R}umor underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we construct BEARD, a new underline{B}enchmark dataset […]


Continue.. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Few-shot or zero-shot fact verification only relies on a few or no labeled training examples. In this paper, we propose a novel method called ProToCo, to underline{Pro}mpt pre-trained language models (PLMs) underline{To} be underline{Co}nsistent, for improving the factuality assessment […]


Continue.. Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models