Search Results for author: Lu Cao

Found 12 papers, 2 papers with code

Investigating Rich Feature Sources for Conceptual Representation Encoding

no code implementations COLING (CogALex) 2020 Lu Cao, Yulong Chen, Dandan Huang, Yue Zhang

Functional Magnetic Resonance Imaging (fMRI) provides a means to investigate human conceptual representation in cognitive and neuroscience studies, where researchers predict the fMRI activations with elicited stimuli inputs.

Towards free-response paradigm: a theory on decision-making in spiking neural networks

no code implementations16 Apr 2024 Zhichao Zhu, Yang Qi, Wenlian Lu, Zhigang Wang, Lu Cao, Jianfeng Feng

The energy-efficient and brain-like information processing abilities of Spiking Neural Networks (SNNs) have attracted considerable attention, establishing them as a crucial element of brain-inspired computing.

Decision Making

Unified Predefined-time Stability Conditions of Nonlinear Systems with Lyapunov Analysis

no code implementations1 Apr 2024 Bing Xiao, Haichao Zhang, Shijie Zhao, Lu Cao

This brief gives a set of unified Lyapunov stability conditions to guarantee the predefined-time/finite-time stability of a dynamical systems.

Modeling iPSC-derived Endothelial Cell Transition in Tumor Angiogenesis using Petri Nets

no code implementations11 Mar 2024 Adéla Šterberová, Andreea Dincu, Stijn Oudshoorn, Vincent van Duinen, Lu Cao

Although the pipeline does not capture the entire complexity of tumor angiogenesis, we are able to capture the essence of endothelial cell transitions in tumor angiogenesis using this conceptually simplified solution.

Visualizing, Analyzing and Constructing L-System from Arborized 3D Model Using a Web Application

no code implementations11 Mar 2024 Nick van Nielen, Fons Verbeek, Lu Cao

The focus of this paper is to combine 3D visualization, analysis and L-system abstraction into a single web application.

Toward stochastic neural computing

2 code implementations23 May 2023 Yang Qi, Zhichao Zhu, Yiming Wei, Lu Cao, Zhigang Wang, Jie Zhang, Wenlian Lu, Jianfeng Feng

To account for the propagation of correlated neural variability, we derive from first principles a moment embedding for spiking neural network (SNN).

SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition

1 code implementation28 Apr 2023 Binqiang Wang, Gang Dong, YaQian Zhao, RenGang Li, Lu Cao, Lihua Lu

Moreover, we propose a pseudo dual-flow network based on this dataset, and verify the application potential of this dataset in the affective computing community.

Emotion Recognition Gesture Recognition

A Fast Feature Point Matching Algorithm Based on IMU Sensor

no code implementations3 Jan 2023 Lu Cao

To reduce time consuming when matching feature points in SLAM, an algorithm of using inertial measurement unit (IMU) to optimize the efficiency of image feature point matching is proposed.

Simultaneous Localization and Mapping

New results on inclusive $B\to X_{u} \ell ν$ decay from the Belle experiment

no code implementations12 Jan 2021 Lu Cao

We report on the measurement of inclusive charmless semileptonic B decays $B \to X_{u} \ell \nu$.

High Energy Physics - Experiment

Range Value-at-Risk: Multivariate and Extreme Values

no code implementations26 May 2020 Roba Bairakdar, Lu Cao, Melina Mailhot

Numerical and graphical examples are provided to examine the accuracy of the empirical estimators.

A new Majorana platform in an Fe-As bilayer superconductor

no code implementations1 Jul 2019 Wenyao Liu, Lu Cao, Shiyu Zhu, Lingyuan Kong, Guangwei Wang, Michal Papaj, Peng Zhang, Yabin Liu, Hui Chen, Geng Li, Fazhi Yang, Takeshi Kondo, Shixuan Du, Guanghan Cao, Shik Shin, Liang Fu, Zhiping Yin, Hong-Jun Gao, Hong Ding

On the other hand, some iron-pnictide (Fe-As) superconductors, such as LiFeAs, have been demonstrated to have a similar topological band structure, yet no MZM has been observed in its vortex cores, raising a question of universality of MZM presence in iron-based superconductors.

Superconductivity Strongly Correlated Electrons

Mimicing the Kane-Mele type spin orbit interaction by spin-flexual phonon coupling in graphene devices

no code implementations28 Mar 2015 Zhanbin Bai, Rui Wang, Yazhou Zhou, Tianru Wu, Jianlei Ge, Jing Li, Yuyuan Qin, Fucong Fei, Lu Cao, Xuefeng Wang, Xinran Wang, Shuai Zhang, Liling Sun, You Song, Fengqi Song

On the efforts of enhancing the spin orbit interaction (SOI) of graphene for seeking the dissipationless quantum spin Hall devices, unique Kane-Mele type SOI and high mobility samples are desired.

Mesoscale and Nanoscale Physics

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