Jiaxu Liu
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View article: The Impact of Early Initiation of Intensive Lipid-Lowering Therapy on the Efficacy and Inflammatory Factors in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention
The Impact of Early Initiation of Intensive Lipid-Lowering Therapy on the Efficacy and Inflammatory Factors in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention Open
Objective: To investigate the impact of early initiation of intensive lipid-lowering therapy on the postoperative efficacy and inflammatory factors in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary interventio…
View article: Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics
Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics Open
Circulating blood proteomics enables minimally invasive biomarker discovery. Nanoparticle-based circulating plasma proteomics studies have reported varying number of proteins (ca 2000–7000), but it remains unclear whether a higher protein …
View article: Deep learning enables accurate diagnosis of acute cholecystitis and prediction of suppuration using noncontrast CT
Deep learning enables accurate diagnosis of acute cholecystitis and prediction of suppuration using noncontrast CT Open
View article: Bond-oriented selective hydrogenation of unsaturated aldehyde by the tailoring of electronic metal-support interaction
Bond-oriented selective hydrogenation of unsaturated aldehyde by the tailoring of electronic metal-support interaction Open
View article: Phase-Separated Multienzyme Condensates for Efficient Synthesis of Imines from Carboxylic Acids with Enhanced Dual-Cofactor Recycling
Phase-Separated Multienzyme Condensates for Efficient Synthesis of Imines from Carboxylic Acids with Enhanced Dual-Cofactor Recycling Open
Enzyme catalysis represents a promising approach for sustainable chemical synthesis, yet its industrial applications face limitations due to the inefficient regeneration and high cost of essential cofactors, such as adenosine-5′-triphospha…
View article: Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics
Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics Open
Circulating blood proteomics enables minimally invasive biomarker discovery. Nanoparticle (NP)-based circulating plasma proteomics studies have reported varying number of proteins, ranging from ca 2000 to 7000 but it’s not clear whether hi…
View article: Formation of hydrided Pt-Ce-H sites in efficient, selective oxidation catalysts
Formation of hydrided Pt-Ce-H sites in efficient, selective oxidation catalysts Open
Single-atom site catalysts can improve the rates and selectivity of many catalytic reactions. We have modified Pt 1 /CeO 2 single sites by combining them with molecular groups and with oxygen vacancies of the support. The new sites include…
View article: Construction of In‐Plane ZnIn<sub>2</sub>S<sub>4</sub>/In(OH)<sub>3</sub> Heterojunction with Boosted CO<sub>2</sub> Photoreduction Performance by a Three‐Phase Etching‐Hydrolysis Strategy
Construction of In‐Plane ZnIn<sub>2</sub>S<sub>4</sub>/In(OH)<sub>3</sub> Heterojunction with Boosted CO<sub>2</sub> Photoreduction Performance by a Three‐Phase Etching‐Hydrolysis Strategy Open
In this work, an in‐plane ZnIn 2 S 4 /In(OH) 3 (ZIS/IOH) heterojunction was fabricated with a gas–solid–liquid three‐phase etching‐hydrolysis strategy utilizing single‐unit‐cell ZnIn 2 S 4 nanosheets as the precursor. A portion of ZnIn 2 S…
View article: Development of a novel Cu (I) <i>π</i>‐complexation adsorbent for ultra‐deep desulfurization from a carbon dioxide stream
Development of a novel Cu (I) <i>π</i>‐complexation adsorbent for ultra‐deep desulfurization from a carbon dioxide stream Open
Desulfurization technology is rather difficult and urgently needed for carbon dioxide (CO 2 ) utilization in industry. A new Cu(I)‐based adsorbent was synthesized and examined for the capacity of removing carbonyl sulfide (COS) from a CO 2…
View article: Insight into Metal-Support Interactions of NiMo Hydrodesulfurization Catalysts and Their Variations During Application
Insight into Metal-Support Interactions of NiMo Hydrodesulfurization Catalysts and Their Variations During Application Open
View article: Phase-Separated Dual-Enzyme Protein Condensates Promote Biodegradation of Polyethylene Terephthalate and Phthalate Plasticizers
Phase-Separated Dual-Enzyme Protein Condensates Promote Biodegradation of Polyethylene Terephthalate and Phthalate Plasticizers Open
View article: Stereocatalytic Effect of CeO<sub>2</sub> for the Synthesis of <i>trans</i>‐3‐Penten‐2‐ol
Stereocatalytic Effect of CeO<sub>2</sub> for the Synthesis of <i>trans</i>‐3‐Penten‐2‐ol Open
The transformation of biobased alkanediols over heterogeneous catalysts is a major object. Here, a series of catalysts were prepared for 2,4‐pentanediol dehydration to 3‐penten‐2‐ol. Ceria‐based catalysts had a unique property of showing h…
View article: To Share or Not? Hybrid e‐Commerce Platform's Provision and Sharing Strategies of Consumer Credit Service
To Share or Not? Hybrid e‐Commerce Platform's Provision and Sharing Strategies of Consumer Credit Service Open
As a new financial innovation, consumer credit services are increasingly embraced by e‐commerce platforms. This paper presents a stylized model to determine when an e‐commerce platform should launch credit services and whether to share the…
View article: Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent Open
In this paper, we propose a novel framework for enhancing visual comprehension in autonomous driving systems by integrating visual language models (VLMs) with additional visual perception module specialised in object detection. We extend t…
View article: Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving Open
The integration of Large Language Models (LLMs) into autonomous driving systems demonstrates strong common sense and reasoning abilities, effectively addressing the pitfalls of purely data-driven methods. Current LLM-based agents require l…
View article: Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Open
While Hyperbolic Graph Neural Network (HGNN) has recently emerged as a powerful tool dealing with hierarchical graph data, the limitations of scalability and efficiency hinder itself from generalizing to deep models. In this paper, by envi…
View article: Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming Open
With the proliferation of red-teaming strategies for Large Language Models (LLMs), the deficiency in the literature about improving the safety and robustness of LLM defense strategies is becoming increasingly pronounced. This paper introdu…
View article: Taming the acidity of Ni 2 P/Al 2 O 3 by Pt modification for ultra-deep hydrodesulfurization of diesel
Taming the acidity of Ni 2 P/Al 2 O 3 by Pt modification for ultra-deep hydrodesulfurization of diesel Open
The design and development of hydrodesulfurization (HDS) catalysts with superior catalytic activity for the conversion of refractory organosulfur compounds has been highly desirable, but still remains challenging in the petroleum processin…
View article: PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction
PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction Open
The use of machine learning in fluid dynamics is becoming more common to expedite the computation when solving forward and inverse problems of partial differential equations. Yet, a notable challenge with existing convolutional neural netw…
View article: Representation-Based Robustness in Goal-Conditioned Reinforcement Learning
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning Open
While Goal-Conditioned Reinforcement Learning (GCRL) has gained attention, its algorithmic robustness against adversarial perturbations remains unexplored. The attacks and robust representation training methods that are designed for tradit…
View article: Heart–brain interaction in cardiogenic dementia: pathophysiology and therapeutic potential
Heart–brain interaction in cardiogenic dementia: pathophysiology and therapeutic potential Open
Diagnosis and treatment of patients with cardiovascular and neurologic diseases primarily focus on the heart and brain, respectively. An increasing number of preclinical and clinical studies have confirmed a causal relationship between hea…
View article: Numerical and experimental analysis of defects control in cross wedge rolling for titanium alloy workpieces
Numerical and experimental analysis of defects control in cross wedge rolling for titanium alloy workpieces Open
Through the optimization of tool parameters and the wedge shape, titanium alloy workpieces with excellent surface and internal qualities were formed by flat cross wedge rolling (CWR) adopting tools without surface grooves. Firstly, the the…
View article: U3DS<sup>3</sup>: Unsupervised 3D Semantic Scene Segmentation
U3DS<sup>3</sup>: Unsupervised 3D Semantic Scene Segmentation Open
Contemporary point cloud segmentation approaches largely rely on richly annotated 3D training data. However , it is both time-consuming and challenging to obtain consistently accurate annotations for such 3D scene data. Moreover, there is …
View article: Butadiene Hydrogenation on N-Doped Carbon-Hosted Non-Noble Metal Nanostructures
Butadiene Hydrogenation on N-Doped Carbon-Hosted Non-Noble Metal Nanostructures Open
View article: Enhancing The Sulfur Resistance of Mn/Hzsm-5 Catalyst For Selective Catalytic Reduction Of No X By Coupling the Adsorbent
Enhancing The Sulfur Resistance of Mn/Hzsm-5 Catalyst For Selective Catalytic Reduction Of No X By Coupling the Adsorbent Open
View article: ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning Open
While Goal-Conditioned Reinforcement Learning (GCRL) has gained attention, its algorithmic robustness against adversarial perturbations remains unexplored. The attacks and robust representation training methods that are designed for tradit…
View article: Defect-driven nanostructuring of low-nuclearity Pt-Mo ensembles for continuous gas-phase formic acid dehydrogenation
Defect-driven nanostructuring of low-nuclearity Pt-Mo ensembles for continuous gas-phase formic acid dehydrogenation Open
Supported metal clusters comprising of well-tailored low-nuclearity heteroatoms have great potentials in catalysis owing to the maximized exposure of active sites and metal synergy. However, atomically precise design of these architectures…
View article: U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation
U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation Open
Contemporary point cloud segmentation approaches largely rely on richly annotated 3D training data. However, it is both time-consuming and challenging to obtain consistently accurate annotations for such 3D scene data. Moreover, there is s…
View article: Combating Bilateral Edge Noise for Robust Link Prediction
Combating Bilateral Edge Noise for Robust Link Prediction Open
Although link prediction on graphs has achieved great success with the development of graph neural networks (GNNs), the potential robustness under the edge noise is still less investigated. To close this gap, we first conduct an empirical …
View article: DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Open
Hyperbolic graph convolutional networks (HGCNs) have demonstrated significant potential in extracting information from hierarchical graphs. However, existing HGCNs are limited to shallow architectures due to the computational expense of hy…