Wang Bin
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View article: Elucidating the Causal Relationships between Cerebrospinal Fluid Metabolites and Glioblastoma Multiforme Insights from Mendelian Randomization Study
Elucidating the Causal Relationships between Cerebrospinal Fluid Metabolites and Glioblastoma Multiforme Insights from Mendelian Randomization Study Open
Backgroud: The cerebrospinal fluid (CSF) metabolites could potentially direct reflecting the biochemical processes involved in central nervous system metabolism. This study aims to delineate the potential causal relationships between CSF m…
View article: Elucidating the Causal Relationships between Cerebrospinal Fluid Metabolites and Glioblastoma Multiforme Insights from Mendelian Randomization Study
Elucidating the Causal Relationships between Cerebrospinal Fluid Metabolites and Glioblastoma Multiforme Insights from Mendelian Randomization Study Open
Backgroud: The cerebrospinal fluid (CSF) metabolites could potentially direct reflecting the biochemical processes involved in central nervous system metabolism. This study aims to delineate the potential causal relationships between CSF m…
View article: OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe Open
Recent advancements in large reasoning models have fueled growing interest in extending such capabilities to multimodal domains. However, despite notable progress in visual reasoning, the lack of transparent and reproducible data curation …
View article: OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe Open
Recent advancements in large reasoning models have fueled growing interest in extending such capabilities to multimodal domains. However, despite notable progress in visual reasoning, the lack of transparent and reproducible data curation …
View article: OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe Open
Recent advancements in large reasoning models have fueled growing interest in extending such capabilities to multimodal domains. However, despite notable progress in visual reasoning, the lack of transparent and reproducible data curation …
View article: CCDC 2463628: Experimental Crystal Structure Determination
CCDC 2463628: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: Beyond Energy Functions and Numerical Integration: A New Methodology to Determine Transient Stability at the Initial State
Beyond Energy Functions and Numerical Integration: A New Methodology to Determine Transient Stability at the Initial State Open
This paper presents a novel method for transient stability analysis (TSA) that circumvents the limitations of sequential numerical integration and energy functions. The proposed method begins by constructing a trajectory-dependent stabilit…
View article: CCDC 2453558: Experimental Crystal Structure Determination
CCDC 2453558: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: Beyond Energy Functions and Numerical Integration: A New Methodology to Determine Transient Stability at the Initial State
Beyond Energy Functions and Numerical Integration: A New Methodology to Determine Transient Stability at the Initial State Open
This paper presents a novel method for transient stability analysis (TSA) that circumvents the limitations of sequential numerical integration and energy functions. The proposed method begins by constructing a trajectory-dependent stabilit…
View article: CCDC 2463624: Experimental Crystal Structure Determination
CCDC 2463624: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: CCDC 2463625: Experimental Crystal Structure Determination
CCDC 2463625: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: Beyond Energy Functions and Numerical Integration: A New Methodology to Determine Transient Stability at the Initial State
Beyond Energy Functions and Numerical Integration: A New Methodology to Determine Transient Stability at the Initial State Open
This paper presents a novel method for transient stability analysis (TSA) that circumvents the limitations of sequential numerical integration and energy functions. The proposed method begins by constructing a trajectory-dependent stabilit…
View article: Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection
Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection Open
Large Visual Language Models (LVLMs) now pose a serious yet overlooked privacy threat, as they can infer a social media user's geolocation directly from shared images, leading to unintended privacy leakage. While adversarial image perturba…
View article: Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection
Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection Open
Large Visual Language Models (LVLMs) now pose a serious yet overlooked privacy threat, as they can infer a social media user's geolocation directly from shared images, leading to unintended privacy leakage. While adversarial image perturba…
View article: Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection
Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection Open
Large Visual Language Models (LVLMs) now pose a serious yet overlooked privacy threat, as they can infer a social media user's geolocation directly from shared images, leading to unintended privacy leakage. While adversarial image perturba…
View article: Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes
Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes Open
Quantum networks and remote quantum entanglement serve as vital future quantum communication resources with broad applicability. A key direction lies in extending the baseline of optical interferometers to enhance angular resolution in int…
View article: Dynamic Gaussian Scene Reconstruction from Unsynchronized Videos
Dynamic Gaussian Scene Reconstruction from Unsynchronized Videos Open
Multi-view video reconstruction plays a vital role in computer vision, enabling applications in film production, virtual reality, and motion analysis. While recent advances such as 4D Gaussian Splatting (4DGS) have demonstrated impressive …
View article: Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes
Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes Open
Quantum networks and remote quantum entanglement serve as vital future quantum communication resources with broad applicability. A key direction lies in extending the baseline of optical interferometers to enhance angular resolution in int…
View article: MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling Open
We present MiroThinker v1.0, an open-source research agent designed to advance tool-augmented reasoning and information-seeking capabilities. Unlike previous agents that only scale up model size or context length, MiroThinker explores inte…
View article: Dynamic Gaussian Scene Reconstruction from Unsynchronized Videos
Dynamic Gaussian Scene Reconstruction from Unsynchronized Videos Open
Multi-view video reconstruction plays a vital role in computer vision, enabling applications in film production, virtual reality, and motion analysis. While recent advances such as 4D Gaussian Splatting (4DGS) have demonstrated impressive …
View article: Randomized Controlled Clinical Trial of Shenzhuo Formula in the Treatment of Macroalbuminuria in Diabetic Kidney Disease and Its Inflammation-Modulating Mechanisms
Randomized Controlled Clinical Trial of Shenzhuo Formula in the Treatment of Macroalbuminuria in Diabetic Kidney Disease and Its Inflammation-Modulating Mechanisms Open
Background Shenzhuo Formula (SZF), a modified Didang Tang, is used for diabetic kidney disease (DKD), though high-quality evidence is limited. Methods In a randomized, double-blind, double-dummy, active-controlled, multicenter trial, irbes…
View article: Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes
Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes Open
Quantum networks and remote quantum entanglement serve as vital future quantum communication resources with broad applicability. A key direction lies in extending the baseline of optical interferometers to enhance angular resolution in int…
View article: MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling Open
We present MiroThinker v1.0, an open-source research agent designed to advance tool-augmented reasoning and information-seeking capabilities. Unlike previous agents that only scale up model size or context length, MiroThinker explores inte…
View article: Randomized Controlled Clinical Trial of Shenzhuo Formula in the Treatment of Macroalbuminuria in Diabetic Kidney Disease and Its Inflammation-Modulating Mechanisms
Randomized Controlled Clinical Trial of Shenzhuo Formula in the Treatment of Macroalbuminuria in Diabetic Kidney Disease and Its Inflammation-Modulating Mechanisms Open
Background Shenzhuo Formula (SZF), a modified Didang Tang, is used for diabetic kidney disease (DKD), though high-quality evidence is limited. Methods In a randomized, double-blind, double-dummy, active-controlled, multicenter trial, irbes…
View article: MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling Open
We present MiroThinker v1.0, an open-source research agent designed to advance tool-augmented reasoning and information-seeking capabilities. Unlike previous agents that only scale up model size or context length, MiroThinker explores inte…
View article: Dynamic Gaussian Scene Reconstruction from Unsynchronized Videos
Dynamic Gaussian Scene Reconstruction from Unsynchronized Videos Open
Multi-view video reconstruction plays a vital role in computer vision, enabling applications in film production, virtual reality, and motion analysis. While recent advances such as 4D Gaussian Splatting (4DGS) have demonstrated impressive …
View article: Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning Open
Large language models (LLMs) have shown great promise in the medical domain, achieving strong performance on several benchmarks. However, they continue to underperform in real-world medical scenarios, which often demand stronger context-aw…
View article: Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning Open
Large language models (LLMs) have shown great promise in the medical domain, achieving strong performance on several benchmarks. However, they continue to underperform in real-world medical scenarios, which often demand stronger context-aw…
View article: Mixture-of-Channels: Exploiting Sparse FFNs for Efficient LLMs Pre-Training and Inference
Mixture-of-Channels: Exploiting Sparse FFNs for Efficient LLMs Pre-Training and Inference Open
Large language models (LLMs) have demonstrated remarkable success across diverse artificial intelligence tasks, driven by scaling laws that correlate model size and training data with performance improvements. However, this scaling paradig…
View article: Mixture-of-Channels: Exploiting Sparse FFNs for Efficient LLMs Pre-Training and Inference
Mixture-of-Channels: Exploiting Sparse FFNs for Efficient LLMs Pre-Training and Inference Open
Large language models (LLMs) have demonstrated remarkable success across diverse artificial intelligence tasks, driven by scaling laws that correlate model size and training data with performance improvements. However, this scaling paradig…