Bo Zhao
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View article: A Sixth-Order Iterative Scheme Through Weighted Rational Approximations for Computing the Matrix Sign Function
A Sixth-Order Iterative Scheme Through Weighted Rational Approximations for Computing the Matrix Sign Function Open
This work introduces a sixth-order multi-step iterative algorithm for obtaining the matrix sign function of nonsingular matrices. The presented methodology employs optimized rational approximations combined with strategically formulated we…
View article: Task-Aware KV Compression For Cost-Effective Long Video Understanding
Task-Aware KV Compression For Cost-Effective Long Video Understanding Open
Long-video understanding (LVU) remains a severe challenge for existing multimodal large language models (MLLMs), primarily due to the prohibitive computational cost. Recent approaches have explored KV compression to mitigate this issue, bu…
View article: HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer
HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer Open
Recent advancements in image generative foundation models have prioritized quality improvements but often at the cost of increased computational complexity and inference latency. To address this critical trade-off, we introduce HiDream-I1,…
View article: Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation Open
Dataset condensation aims to synthesize datasets with a few representative samples that can effectively represent the original datasets. This enables efficient training and produces models with performance close to those trained on the ori…
View article: Dynamic metabolomic and transcriptomic profiling reveals yellow flower development in Camellia perpetua, a rare continuously flowering golden Camellia species
Dynamic metabolomic and transcriptomic profiling reveals yellow flower development in Camellia perpetua, a rare continuously flowering golden Camellia species Open
The golden camellia, a highly valued ornamental plant, belongs to the Chrysantha section, the sole group in the Camellia genus that produces yellow flowers. The cultivation and broader application of this unique species have been significa…
View article: Early clinical outcome with lens position adjustment following implantable collamer lens surgery
Early clinical outcome with lens position adjustment following implantable collamer lens surgery Open
AIM: To observe early clinical outcome with lens position adjustment following the implantable collamer lens (ICL) surgery. METHODS: Sixty patients were selected for this retrospective study. One eye from each patient received Toric ICL fo…
View article: Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking Open
6D Object Pose Estimation is a crucial yet challenging task in computer vision, suffering from a significant lack of large-scale datasets. This scarcity impedes comprehensive evaluation of model performance, limiting research advancements.…
View article: Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming
Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming Open
In this article, a novel self-triggered approximate optimal neuro-control scheme is presented for nonlinear systems by utilizing adaptive dynamic programming (ADP). According to the Bellman principle of optimality, the cost function of the…
View article: Data-efficient model-based reinforcement learning with trajectory discrimination
Data-efficient model-based reinforcement learning with trajectory discrimination Open
Deep reinforcement learning has always been used to solve high-dimensional complex sequential decision problems. However, one of the biggest challenges for reinforcement learning is sample efficiency, especially for high-dimensional comple…
View article: Boundary optimization of inclined coal seam open-pit mine based on the ISSA–LSSVR coal price prediction method
Boundary optimization of inclined coal seam open-pit mine based on the ISSA–LSSVR coal price prediction method Open
As an important link in the complex system engineering project of open pit mining, the quality of the boundary determines the performance of the project to a large extent. However, changes in economic indicators may raise doubts about the …
View article: SFA-GAN: Structure-frequency-aware generative adversarial network for underwater image enhancement
SFA-GAN: Structure-frequency-aware generative adversarial network for underwater image enhancement Open
Influenced by light scattering, absorption and water impurities, the quality of underwater image is so poor that it poses a great challenge to underwater target detection, marine biological research and marine exploration. Thus, significan…
View article: Application of coal price prediction method based on ISSA-LSSVR method in state optimization design of inclined seam open-pit mine
Application of coal price prediction method based on ISSA-LSSVR method in state optimization design of inclined seam open-pit mine Open
As an important link in the complex system engineering project of open-pit mining, the quality of boundary determine the performance of the project to a large extent. However, the traditional design method cannot effectively measure the im…
View article: Optimisation of Working Line Length during the Period of Gently Inclined Slope in Tilted Coal Seam Open-Pit Mine
Optimisation of Working Line Length during the Period of Gently Inclined Slope in Tilted Coal Seam Open-Pit Mine Open
In the initial production phase of an inclined seam opencast mine, due to initial investment and production capacity constraints, zoning or phasing is usually used, resulting in changes in the length of the working line during the transiti…
View article: Evaluation of Four Commonly Used DNA Barcoding Loci for Ardisia Species Identification
Evaluation of Four Commonly Used DNA Barcoding Loci for Ardisia Species Identification Open
Ardisia plants have been used as medicinal plants for a long time in China. Traditional techniques such as morphological, microscopic, and chemical identification methods all have limitations in the species identification of Ardisia . For …
View article: At the Traffic Intersection, Stopping, or Walking? Pedestrian Path Prediction Based on KPOF-GPDM for Driving Assistance
At the Traffic Intersection, Stopping, or Walking? Pedestrian Path Prediction Based on KPOF-GPDM for Driving Assistance Open
Pedestrian detection has always been a research hotspot in the Advanced Driving Assistance System (ADAS) with great progress in recent years. However, for the ADAS, we not only need to detect the behavior of pedestrians in front of the veh…
View article: FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning Open
Federated learning (FL) is a promising privacy-preserving distributed machine learning methodology that allows multiple clients (i.e., workers) to collaboratively train statistical models without disclosing private training data. Due to th…
View article: DNA barcoding coupled with high resolution melting for rapid identification of <i>Ardisia gigantifolia</i> and its toxic adulterants
DNA barcoding coupled with high resolution melting for rapid identification of <i>Ardisia gigantifolia</i> and its toxic adulterants Open
Ardisia gigantifolia is a medicinal plant; its herbal medicinal product has played important roles in the ways of life of people in China. However, commercial products of this herbal medicine are frequently adulterated with Rhododendron mo…
View article: Species Quantification in Complex Herbal Formulas—Vector Control Quantitative Analysis as a New Method
Species Quantification in Complex Herbal Formulas—Vector Control Quantitative Analysis as a New Method Open
Product mislabeling and/or species fraud in Traditional Chinese Medicine (TCM) not only decrease TCM quality, but also pose a potential health issue to the end user. Up to now, methods to control TCM quality have been developed to detect s…
View article: Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention Open
Prevention of stroke with its associated risk factors has been one of the public health priorities worldwide. Emerging artificial intelligence technology is being increasingly adopted to predict stroke. Because of privacy concerns, patient…
View article: Observer-based Adaptive Controller Design for Nonlinear Saturation Systems With Output Constraints
Observer-based Adaptive Controller Design for Nonlinear Saturation Systems With Output Constraints Open
This paper presents an observer-based adaptive control for uncertain nonlinear systems with input saturation and output constraints. Backstepping technology is used in the controller design. A state observer is established to estimate the …
View article: Approximate Optimal Sliding Mode Tracking Control for Modular Reconfigurable Robots Based on Critic-only Structure
Approximate Optimal Sliding Mode Tracking Control for Modular Reconfigurable Robots Based on Critic-only Structure Open
In this paper, an approximate optimal sliding mode tracking control (SMTC) strategy is investigated for modular reconfigurable robots (MRRs) through critic-only structure-based adaptive dynamic programming (ADP) scheme. The SMTC is achieve…
View article: Observer-Based H Tracking Control Scheme and Its Application to Robot Arms
Observer-Based H Tracking Control Scheme and Its Application to Robot Arms Open
In this paper, an adaptive dynamic programming (ADP)-based H∞ tracking control method is proposed for unknown continuous-time nonlinear systems. By constructing a neural network (NN) observer with system input and output data, the dynamics…
View article: Adaptive near‐optimal controllers for non‐linear decentralised feedback stabilisation problems
Adaptive near‐optimal controllers for non‐linear decentralised feedback stabilisation problems Open
The authors focus on developing adaptive‐critic‐based near‐optimal controllers to solve continuous‐time non‐linear decentralised feedback stabilisation problems. The decentralised feedback control problem with respect to the matched interc…
View article: Application of barcode high-resolution melting for rapid authentication of the medicinal plant <i>Psammosilene tunicoides</i>
Application of barcode high-resolution melting for rapid authentication of the medicinal plant <i>Psammosilene tunicoides</i> Open
Psammosilene tunicoides is an important herb used in traditional Chinese medicine. It has been proved to benefit the stomach and treat rheumatism and gout. On the market, this herbal medicine is frequently adulterated by the related specie…