Chao Lü
YOU?
Author Swipe
View article: H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving
H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving Open
Deep learning (DL) has shown state-of-the-art performance in trajectory prediction, which is critical to safe navigation in autonomous driving (AD). However, most DL-based methods suffer from catastrophic forgetting, where adapting to a ne…
View article: The Fourth Monocular Depth Estimation Challenge
The Fourth Monocular Depth Estimation Challenge Open
This paper presents the results of the fourth edition of the Monocular Depth Estimation Challenge (MDEC), which focuses on zero-shot generalization to the SYNS-Patches benchmark, a dataset featuring challenging environments in both natural…
View article: Research on Students’ Utilization of Artificial Intelligence Based on Random Forest Model and PCA-K-means Algorithm
Research on Students’ Utilization of Artificial Intelligence Based on Random Forest Model and PCA-K-means Algorithm Open
This study delves into the impact of artificial intelligence on students’ learning.The paper pioneers the use of kmeans classification to reduce the dimensionality of features before the classification process, which minimizes redund…
View article: Biomineralized <i>in situ</i> catalytic nanoreactor integrated microneedle patch for on demand immunomodulator supply to combat psoriasis
Biomineralized <i>in situ</i> catalytic nanoreactor integrated microneedle patch for on demand immunomodulator supply to combat psoriasis Open
The endogenous immunomodulator adenosine (ADO) was expected to be potentialized as an efficacious mediator to combat psoriasis. However, its efficacy is severely hindered by its poor metabolic stability and insufficient accumulation at the…
View article: Effects of different soil water holding capacities on vegetable residue return and its microbiological mechanism
Effects of different soil water holding capacities on vegetable residue return and its microbiological mechanism Open
With the gradual expansion of the protected vegetable planting area, dense planting stubbles and increasing labor cost, the treatment of vegetable residues has become an urgent problem to be solved. Soil bacterial community structure plays…
View article: LADRC Based Digital Control DC-DC ASIC Design
LADRC Based Digital Control DC-DC ASIC Design Open
The Internet of Things (IoT) systems require power management modules to have the characteristics of low power consumption, high conversion efficiency, high integration, stable output, and good dynamic response. Due to its ease of tuning a…
View article: Maize leaf disease identification based on WG-MARNet
Maize leaf disease identification based on WG-MARNet Open
In deep learning-based maize leaf disease detection, a maize disease identification method called Network based on wavelet threshold-guided bilateral filtering, multi-channel ResNet, and attenuation factor (WG-MARNet) is proposed. This met…
View article: A Novel Sequence-to-Subgraph Framework for Diagnosis Classification
A Novel Sequence-to-Subgraph Framework for Diagnosis Classification Open
Text-based diagnosis classification is a critical problem in AI-enabled healthcare studies, which assists clinicians in making correct decision and lowering the rate of diagnostic errors. Previous studies follow the routine of sequence bas…
View article: An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data
An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data Open
Epilepsy is a complex brain disorder characterized by repetitive seizure events. Epilepsy patients often suffer from various and severe physical and psychological comorbidities (e.g., anxiety, migraine, and stroke). While general comorbidi…
View article: An Explainable Multi-Modal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data
An Explainable Multi-Modal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data Open
1 Abstract Epilepsy is a complex brain disorder characterized by repetitive seizure events. Epilepsy patients often suffer from various and severe physical and psychological co-morbidities (e.g. anxiety, migraine, stroke, etc.). While gene…
View article: The Graph-based Mutual Attentive Network for Automatic Diagnosis
The Graph-based Mutual Attentive Network for Automatic Diagnosis Open
The automatic diagnosis has been suffering from the problem of inadequate reliable corpus to train a trustworthy predictive model. Besides, most of the previous deep learning based diagnosis models adopt the sequence learning techniques (C…
View article: Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis Open
Automatic diagnosis systems have attracted increasing attention in recent years. The reinforcement learning (RL) is an attractive technique for building an automatic diagnosis system due to its advantages for handling sequential decision m…
View article: Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs
Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs Open
The automatic text-based diagnosis remains a challenging task for clinical use because it requires appropriate balance between accuracy and interpretability. In this paper, we attempt to propose a solution by introducing a novel framework …
View article: A Graphene Oxide Quantum Dots Embedded Charge Trapping Memory With Enhanced Memory Window and Data Retention
A Graphene Oxide Quantum Dots Embedded Charge Trapping Memory With Enhanced Memory Window and Data Retention Open
Graphene oxide quantum dots (GOQDs) are integrated with a charge trapping layer in a nonvolatile charge trapping memory. The device structures of Pd/SiO2/ZHO/SiO2/Si and Pd/SiO2/ZHO/GOQDs/SiO2/Si are fabricated, measured, and compared. The…
View article: A 2.1-ppm/°C all-MOSFET voltage reference with a 1.2-V supply voltage
A 2.1-ppm/°C all-MOSFET voltage reference with a 1.2-V supply voltage Open
This paper presents an ultra-low temperature coefficient sub-threshold voltage reference, which is based on a novel compensation principle without using any resistors or operational amplifiers. Being implemented on a 0.18 µm standard CMOS …
View article: A 1.2 V supply 0.58 ppm/°C CMOS bandgap voltage reference
A 1.2 V supply 0.58 ppm/°C CMOS bandgap voltage reference Open
A precision curvature-compensated bandgap reference (BGR) is proposed and implemented using a standard 0.18-µm CMOS process. With a new and precise circuit configuration, the thermal nonlinearity of emitter-base voltages can be fully compe…
View article: 98 pA, 0.17 ppm/V, −72 dB@100 Hz voltage reference for Internet-of-Things systems
98 pA, 0.17 ppm/V, −72 dB@100 Hz voltage reference for Internet-of-Things systems Open
This letter presents a pico-ampere level voltage reference with ultra-high performance of line regulation and power supply rejection ratio (PSRR) based on a self-regulation technique for Internet-of-Things (IoT) systems. Post-layout simula…
View article: Refining Wi-Fi Based Indoor Localization with Li-Fi Assisted Model Calibration in Smart Buildings
Refining Wi-Fi Based Indoor Localization with Li-Fi Assisted Model Calibration in Smart Buildings Open
In recent years, there has been an increasing number of information technologies utilized in buildings to advance the idea of "smart buildings". Among various potential techniques, the use of Wi-Fi based indoor positioning allows to locate…