output
20112026
most citedSlim-neck by GSConv: A lightweight-design for real-time detector architectures

628 citations

77 papers

gr-qc2026★ 1 cited

Repetitive Penrose process in Konoplya-Zhidenko rotating non-Kerr black holes

Xiao-Xiong Zeng, Dong-Ping Su, Ke Wang

This paper investigates the repetitive Penrose process in Konoplya-Zhidenko rotating non-Kerr black hole, exploring the influence of the deformation parameter on the repetitive Pen…

gr-qc2025★ 2 cited

Probing Observable Features of Lorentz violation in Low-Energy Hořava Gravity with Accretion Disk Images of Black Hole

Meng-Die Zhao, Yu-Yan Wang, Ke-Jian He +1

In this paper, we study the observable signatures of Lorentz violation (LV) in low-energy Horava gravity by simulating the images and polarization features of rotating LV black hol…

astro-ph.HE2025★ 1 cited

Imaging and Polarimetric Signatures of Konoplya-Zhidenko Black Holes with Various Thick Disk

Xinyu Wang, Yukang Wang, Xiao-Xiong Zeng

We investigate the imaging properties of spherically symmetric Konoplya-Zhidenko (KZ) black holes surrounded by geometrically thick accretion flows, adopting a phenomenological rad…

cs.CV2025★ 5 cited

A biologically inspired separable learning vision model for real-time traffic object perception in Dark

Hulin Li, Qiliang Ren, Jun Li +3

Fast and accurate object perception in low-light traffic scenes has attracted increasing attention. However, due to severe illumination degradation and the lack of reliable visual…

cs.LG2025★ 7 cited

Evaluating Pavement Deterioration Rates Due to Flooding Events Using Explainable AI

Lidan Peng, Lu Gao, Feng Hong +1

Flooding can damage pavement infrastructure significantly, causing both immediate and long-term structural and functional issues. This research investigates how flooding events aff…

cs.CV2025★ 30 cited

Rethinking Features-Fused-Pyramid-Neck for Object Detection

Hulin Li

Multi-head detectors typically employ a features-fused-pyramid-neck for multi-scale detection and are widely adopted in the industry. However, this approach faces feature misalignm…

math.AP2024

On the existence of multiple normalized solutions for a class of fractional Choquard equations with mixed nonlinearities

Yongpeng Chen, Zhipeng Yang, Jianjun Zhang

We investigate the existence of normalized solutions for the following nonlinear fractional Choquard equation: $$ (-Δ)^s u+V(εx)u=λu+\left(I_α*|u|^q\right)|u|^{q-2} u+\left(I_α*|u|…

math.AP2024

Existence and nonexistence of least energy positive solutions to critical Schrödinger systems with Hardy potential

Song You, Jianjun Zhang

We are concerned with the following coupled Schrödinger system with Hardy potential in the critical case \begin{equation*} \begin{cases} -Δu_{i}-\frac{λ_{i}}{|x|^2}u_{i}=|u_i|^{2^*…

cond-mat.mtrl-sci2023★ 56 cited

Unconventional mechanical and thermal behaviors of MOF CALF-20

Dong Fan, Supriyo Naskar, Guillaume Maurin

CALF-20 was recently identified as a novel benchmark sorbent for CO capture at the industrial scale, however comprehensive atomistic insight into its mechanical/thermal propert…

cs.LG2023★ 3 cited

ShiftKD: Benchmarking Knowledge Distillation under Distribution Shift

Songming Zhang, Yuxiao Luo, Ziyu Lyu +1

Knowledge Distillation (KD) transfers knowledge from large models to small models and has recently achieved remarkable success. However, the reliability of existing KD methods in r…

gr-qc2023★ 69 cited

Investigating shadow images and rings of the charged Horndeski black hole illuminated by various thin accretions

Xiao-Jun Gao, Tao-Tao Sui, Xiao-Xiong Zeng +2

In this paper, we investigate the shadows and rings of the charged Horndeski black hole illuminated by accretion flow that is both geometrically and optically thin. We consider two…

cs.LG2022★ 32 cited

Broad Learning System with Takagi-Sugeno Fuzzy Subsystem for Tobacco Origin Identification based on Near Infrared Spectroscopy

Di Wang, Simon X. Yang

Tobacco origin identification is significantly important in tobacco industry. Modeling analysis for sensor data with near infrared spectroscopy has become a popular method for rapi…

cs.LG2022★ 11 cited

Intelligent Feature Extraction, Data Fusion and Detection of Concrete Bridge Cracks: Current Development and Challenges

Di Wang, Simon X. Yang

As a common appearance defect of concrete bridges, cracks are important indices for bridge structure health assessment. Although there has been much research on crack identificatio…

gr-qc2022★ 71 cited

QED and accretion flow models effect on optical appearance of Euler-Heisenberg black holes

Xiao-Xiong Zeng, Ke-Jian He, Guo-Ping Li +2

Taking the quantum electrodynamics (QED) effect into account, we investigate the geometrical-optics appearance of the Euler-Heisenberg (EH) black hole (BH) under the different accr…

gr-qc2022★ 63 cited

The Optical Appearance of Charged Four-Dimensional Gauss-Bonnet Black Hole with Strings Cloud and Non-Commutative Geometry Surrounded by Various Accretions Profiles

Xiao-Xiong Zeng, M. Israr Aslam, Rabia Saleem

Thanks for the releasing image of supermassive black holes (BHs) by the event horizon telescope (EHT) at the heart of the galaxy. After the discovery of this mysterious objec…

cs.CV2022★ 628 cited

Slim-neck by GSConv: A lightweight-design for real-time detector architectures

Hulin Li, Jun Li, Hanbing Wei +3

Real-time object detection is significant for industrial and research fields. On edge devices, a giant model is difficult to achieve the real-time detecting requirement and a light…

cond-mat.str-el2022★ 8 cited

Anyonic braiding via quench dynamics in fractional quantum Hall liquids

Jie Li, Dan Ye, Chen-Xin Jiang +3

In a Laughlin fractional quantum Hall state, one- and two-quasihole states can be obtained by diagonalizing the many-body Hamiltonian with a trapping potential or, for larger syste…

cond-mat.mtrl-sci2022★ 2 cited

First-principles perspective on full-spectrum infrared photodetectors from doping an excitonic insulator

Jing Liu, Yuanchang Li

Innovations in imaging technology involves finding strategies and materials suitable for detection applications over the entire infrared range. Herein, we propose a new design conc…

hep-th2022★ 39 cited

Holographic Einstein Ring of a Charged AdS Black Hole

Yuxuan Liu, Qian Chen, Xiao-Xiong Zeng +2

Taking into account that the real quantum materials are engineered generically at a finite chemical potential, we investigate the Einstein ring structure for the lensed response of…

math.AP2021★ 14 cited

On the Kirchhoff equation with prescribed mass and general nonlinearities

Xiaoyu Zeng, Jianjun Zhang, Yimin Zhang +1

In the present paper, we apply a global branch approach to study the existence, non-existence and multiplicity of positive normalized solutions $(λ_c, u_c)\in \mathbb{R}\times H^1(…

stat.AP2021★ 14 cited

Bayesian spectral density approach for identification and uncertainty quantification of bridge section's flutter derivatives operated in turbulent flow

Xiaolei Chu, Wei Cui, Peng Liu +2

This study presents a Bayesian spectral density approach for identification and uncertainty quantification of flutter derivatives of bridge sections utilizing buffeting displacemen…

hep-th2021★ 105 cited

The shadows and observational appearance of a noncommutative black hole surrounded by various profiles of accretions

Xiao-Xiong Zeng, Guo-Ping Li, Ke-Jian He

The accretion around the black hole plays a pivotal role in the theoretical analysis of black hole shadow, and of the black hole observation in particular. In this paper, we mainly…

cs.SC2021

On the probability of generating a primitive matrix

Jingwei Chen, Yong Feng, Yang Liu +1

Given a integer primitive matrix (i.e., a matrix can be extended to an unimodular matrix over the integers) with the maximal absolute value of entr…

cs.IT2021

Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network

Miao Zhang, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam +4

This paper investigates a machine learning-based power allocation design for secure transmission in a cognitive radio (CR) network. In particular, a neural network (NN)-based appro…