Yinlong Liu

ORCID: 0000-0002-6468-8233
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About
Contact & Profiles
Research Areas
  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Optical measurement and interference techniques
  • Image and Object Detection Techniques
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis
  • Heat transfer and supercritical fluids
  • Anomaly Detection Techniques and Applications
  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • MicroRNA in disease regulation
  • S100 Proteins and Annexins
  • Advanced Combustion Engine Technologies
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Advanced Neural Network Applications
  • Robot Manipulation and Learning
  • Human Pose and Action Recognition
  • Autophagy in Disease and Therapy
  • Adversarial Robustness in Machine Learning
  • Robotic Path Planning Algorithms
  • Robotic Mechanisms and Dynamics
  • Inflammasome and immune disorders
  • Heat Transfer Mechanisms
  • Advanced Sensor and Energy Harvesting Materials
  • Cancer-related molecular mechanisms research

City University of Macau
2023-2025

University of Macau
2023-2025

Henan Provincial People's Hospital
2016-2025

Institute of Information Engineering
2017-2024

Chinese Academy of Sciences
2017-2024

Beihang University
2018-2024

Fudan University
2017-2024

Shandong University
2024

University of Chinese Academy of Sciences
2024

Huashan Hospital
2021-2024

Although great progress has been made in generic object detection by advanced deep learning techniques, detecting small objects from images is still a difficult and challenging problem the field of computer vision due to limited size, less appearance, geometry cues, lack large-scale datasets targets. Improving performance wider significance many real-world applications, such as self-driving cars, unmanned aerial vehicles, robotics. In this article, first-ever survey recent studies...

10.1109/tsmc.2020.3005231 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2020-07-17

Based on the demands of compact heat exchangers and micro cooling channels applied for aviation thermal protection aero-engines, elbow local flow resistance characteristics supercritical pressure fuel RP-3 flowing in adiabatic horizontal serpentine tubes with inner diameter 1.8 mm mass flux 1179 kg/(m2·s) were experimentally studied. The long-short-tube method was used to obtain drop from total tube drop, effects system pressures (P/Pc = 1.72–2.58) geometry parameters including bend numbers...

10.1016/j.jppr.2023.02.009 article EN cc-by-nc-nd Propulsion and Power Research 2024-02-29

Abstract Highly sensitive and humidity‐resistive detection of the most common physical stimuli is primary importance for practical application in real‐time monitoring. Here, a simple yet effective strategy reported to achieve highly humidity‐stable hybrid composite that enables simultaneous accurate pressure temperature sensing single sensor. The improved electronic performance due enhanced planarity poly (3,‐4ethylenedioxythiophene) (PEDOT) charge transfer between PEDOT:polystyrene...

10.1002/adfm.202316088 article EN cc-by Advanced Functional Materials 2024-02-14

Objective: The study aimed to apply an artificial intelligence (AI)-assisted scoring system, and improve the diagnostic efficiency of Sclerosing adenosis early breast cancer. Methods: This retrospectively collected adenopathy patients (156 cases) cancer (150 in Henan Provincial People's Hospital from August 2020 April 2023. Results: area under curve model constructed by clinical ultrasound features combined AI predict identify two training group was 0.89 0.94, respectively. with best...

10.2147/bctt.s483496 article EN cc-by-nc Breast Cancer Targets and Therapy 2025-02-01

Melatonin functions as a crucial mediator of sterile neuroinflammation; however, the underlying mechanisms remain poorly understood. Dysfunctional mitochondria, main source reactive oxygen species, are impacted in inflammation activation. This study aimed to examine effect melatonin on via elimination damaged mitochondria after controlled cortical impact, an vivo model traumatic brain injury (TBI). Here, we demonstrated that inhibition mitophagy, selective degradation by autophagy, markedly...

10.1111/jpi.12337 article EN Journal of Pineal Research 2016-04-27

Mitochondrial energy production is essential for normal brain function. Traumatic injury (TBI) increases demands, results in the activation of mitochondrial respiration, associated with enhanced generation reactive oxygen species. This chain events triggers neuronal apoptosis via oxidation a mitochondria-specific phospholipid, cardiolipin (CL). One pathway through which cells can avoid elimination damaged mitochondria by mitophagy. Previously, we showed that externalization CL to surface...

10.1523/jneurosci.3415-17.2018 article EN cc-by-nc-sa Journal of Neuroscience 2019-01-09

Prokineticin-2 (Prok2) is an important secreted protein likely involved in the pathogenesis of several acute and chronic neurological diseases through currently unidentified regulatory mechanisms. The initial mechanical injury neurons by traumatic brain triggers multiple secondary responses including various cell death programs. One these ferroptosis, which associated with dysregulation iron thiols culminates fatal lipid peroxidation. Here, we explore role Prok2 neuronal ferroptosis vitro...

10.1038/s41467-021-24469-y article EN cc-by Nature Communications 2021-07-09

Point cloud registration is a fundamental problem in 3D computer vision. Outdoor LiDAR point clouds are typically large-scale and complexly distributed, which makes the challenging. In this paper, we propose an efficient hierarchical network named HRegNet for out-door registration. Instead of using all points clouds, performs on hierarchically extracted keypoints descriptors. The overall framework combines reliable features deeper layer precise position information shallower layers to...

10.1109/iccv48922.2021.01571 article EN 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2021-10-01

Gastrointestinal dysfunction is one of several physiologic complications in patients with traumatic brain injury (TBI). TBI can result increased intestinal permeability resulting from apoptosis epithelial cells, which contain a large number mitochondria for persisting barrier function. Autophagy damaged (mitophagy) controls the quality and regulates cellular homeostasis. However, exact mechanism mitophagy that underlies pathological changes induced by unknown. Here, we report decreases cell...

10.1089/neu.2016.4764 article EN Journal of Neurotrauma 2017-01-17

Programmed cell death is an important biological process that plays indispensable role in traumatic brain injury (TBI). Inhibition of necroptosis, a type programmed death, pivotal neuroprotection and preventing associated inflammatory responses. Our results showed necroptosis occurred human tissues after TBI. Necroptosis was also induced by controlled cortical impact (CCI) rat model TBI accompanied high translocation high-mobility group box-1 (HMGB1) to the cytoplasm. HMGB1 then passed...

10.3389/fnmol.2019.00222 article EN cc-by Frontiers in Molecular Neuroscience 2019-09-19

This paper presents a novel air-fuel heat exchanger used for the cooled cooling air technology in aero-engines. The helical tube weighing 1.1 kg with an area density of 214 m2/m3 can cool hot down 260 K at flow 0.3 kg/s relative airside pressure drop less than 0.6%. Empirical correlations by multiplying constant 1.06 and 0.837 well predict convective transfer coefficient respectively gas cross-flowing bundles. Furthermore, failure tests to simulate fuel control system fault flight mode...

10.1016/j.csite.2023.102715 article EN cc-by-nc-nd Case Studies in Thermal Engineering 2023-01-05

Rotation estimation plays a fundamental role in many computer vision and robot tasks. However, efficiently estimating rotation large inputs containing numerous outliers (i.e., mismatches) noise is recognized challenge. Many robust methods have been designed to address this Unfortunately, existing are often inapplicable due their long computation time the risk of local optima. In paper, we propose an efficient method. Specifically, our method first investigates geometric constraints involving...

10.48550/arxiv.2502.06337 preprint EN arXiv (Cornell University) 2025-02-10

Point cloud registration is a fundamental problem in 3D computer vision. Previous learning-based methods for LiDAR point can be categorized into two schemes: dense-to-dense matching and sparse-to-sparse methods. However, large-scale outdoor clouds, solving dense correspondences time-consuming, whereas sparse keypoint easily suffers from detection error. In this paper, we propose SDMNet, novel Sparse-to-Dense Matching Network registration. Specifically, SDMNet performs sequential stages:...

10.1109/tpami.2023.3265531 article EN IEEE Transactions on Pattern Analysis and Machine Intelligence 2023-04-07

Radar is among the most popular sensors in modern Intelligent Transportation Systems (ITSs), enabling weather-robust perception. The orientation and position of traffic radar relative to ITS coordinate system are necessary for perception fusion ITSs. However, due unknown target association, sparseness noisiness measurements, robust accurate extrinsic calibration challenging. In this paper, we propose a targetless method based on GPS overcome inconvenience during operation, because...

10.1109/tits.2023.3251183 article EN IEEE Transactions on Intelligent Transportation Systems 2023-03-14

Rotation motion in a three-dimensional physical world refers to an angular displacement of object around specific axis $\mathbb{R}^3$. It is typically formulated as non-linear and non-convex due the nonlinearity nonconvexity $\mathbb{SO}(3)$. However, this paper proposes new perspective that 3D rotation can be expressed by linear system without dropping any constraints increasing singularities. Moreover, two frequent cases, i.e., $\angle\left(\mathbf{R}\boldsymbol{x},\boldsymbol{y}\right)=0$...

10.20944/preprints202405.0982.v2 preprint EN 2025-02-17

<title>Abstract</title> Face detection and landmark localization are usually the fundamental important steps of facial analysis. The accuracy degradation any task has impacts on robustness downstream In most analysis systems, face detection, as two independent tasks, predicted sequentially with single-task detectors respectively, which suffer from higher complexity poorer consistency. contrast, multi-task joint more efficient have shared features. However, when tasks in one model, it is...

10.21203/rs.3.rs-3926744/v2 preprint EN cc-by Research Square (Research Square) 2025-03-28
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