Zichen Liang
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View article: KAC: Kolmogorov-Arnold Classifier for Continual Learning
KAC: Kolmogorov-Arnold Classifier for Continual Learning Open
Continual learning requires models to train continuously across consecutive tasks without forgetting. Most existing methods utilize linear classifiers, which struggle to maintain a stable classification space while learning new tasks. Insp…
View article: A Formulation–Process–Product Integrated Design Method for Accelerating Pharmaceutical Tablet Development via the High-Shear Wet Granulation and Tableting Route
A Formulation–Process–Product Integrated Design Method for Accelerating Pharmaceutical Tablet Development via the High-Shear Wet Granulation and Tableting Route Open
Background/Objectives: Tablet is the most popular oral solid dosage form, and high-shear wet granulation and tableting (HSWGT) is a versatile technique for manufacturing tablets. The conventional pharmaceutical development for HSWGT is car…
View article: Store-operated calcium entry enhances the polarization and chemotaxis of neutrophils in the peripheral venous blood of patients with bronchial asthma by upregulating ERM protein
Store-operated calcium entry enhances the polarization and chemotaxis of neutrophils in the peripheral venous blood of patients with bronchial asthma by upregulating ERM protein Open
The polarization and chemotaxis of neutrophils in the venous blood of patients with asthma are increased. This may be due to the abnormal expression and distribution of ERM and F-actin as a result of abnormal SOCE function.
View article: Using a Material Library to Understand the Change of Tabletability by High Shear Wet Granulation
Using a Material Library to Understand the Change of Tabletability by High Shear Wet Granulation Open
Understanding the tabletability change of materials after granulation is critical for the formulation and process design in tablet development. In this paper, a material library consisting of 30 pharmaceutical materials was used to summari…
View article: Globally-Optimal Inlier Maximization for Relative Pose Estimation Under Planar Motion
Globally-Optimal Inlier Maximization for Relative Pose Estimation Under Planar Motion Open
Planar motion constraint occurs in visual odometry (VO) and SLAM for Automated Guided Vehicles (AGVs) or mobile robots in general. Conventionally, two-point solvers can be nested to RANdom SAmple Consensus to reject outliers in real data, …
View article: Deep learning for LiDAR-only and LiDAR-fusion 3D perception: a survey
Deep learning for LiDAR-only and LiDAR-fusion 3D perception: a survey Open
The perception system for robotics and autonomous cars relies on the collaboration among multiple types of sensors to understand the surrounding environment. LiDAR has shown great potential to provide accurate environmental information, an…
View article: NeuroBiometric: An eye blink based biometric authentication system using an event-based neuromorphic vision sensor
NeuroBiometric: An eye blink based biometric authentication system using an event-based neuromorphic vision sensor Open
The rise of the Internet and identity authentication systems has brought convenience to people's lives but has also introduced the potential risk of privacy leaks. Existing biometric authentication systems based on explicit and static feat…
View article: Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset
Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset Open
Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, such as the RGB-D camera. Compared to traditional frame-based …
View article: Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset
Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset Open
Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, such as RGB-D camera. Compared to traditional frame-based comp…