Yang Yi
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View article: The Faintest, Extremely Variable X-ray Tidal Disruption Event from a Supermassive Black Hole Binary?
The Faintest, Extremely Variable X-ray Tidal Disruption Event from a Supermassive Black Hole Binary? Open
Tidal disruption events (TDEs), which occur when stars enter the tidal radii of supermassive black holes (SMBHs) and are subsequently torn apart by their tidal forces, represent intriguing phenomena that stimulate growing research interest…
View article: BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment
BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment Open
Conditional image generation enhances text-to-image synthesis with structural, spatial, or stylistic priors, but current methods face challenges in handling conflicts between sources. These include 1) input-level conflicts, where the condi…
View article: Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport
Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport Open
Merging models fine-tuned for different tasks into a single unified model has become an increasingly important direction for building versatile, efficient multi-task systems. Existing approaches predominantly rely on parameter interpolatio…
View article: Are Image-to-Video Models Good Zero-Shot Image Editors?
Are Image-to-Video Models Good Zero-Shot Image Editors? Open
Large-scale video diffusion models show strong world simulation and temporal reasoning abilities, but their use as zero-shot image editors remains underexplored. We introduce IF-Edit, a tuning-free framework that repurposes pretrained imag…
View article: Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport
Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport Open
Merging models fine-tuned for different tasks into a single unified model has become an increasingly important direction for building versatile, efficient multi-task systems. Existing approaches predominantly rely on parameter interpolatio…
View article: BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment
BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment Open
Conditional image generation enhances text-to-image synthesis with structural, spatial, or stylistic priors, but current methods face challenges in handling conflicts between sources. These include 1) input-level conflicts, where the condi…
View article: Are Image-to-Video Models Good Zero-Shot Image Editors?
Are Image-to-Video Models Good Zero-Shot Image Editors? Open
Large-scale video diffusion models show strong world simulation and temporal reasoning abilities, but their use as zero-shot image editors remains underexplored. We introduce IF-Edit, a tuning-free framework that repurposes pretrained imag…
View article: Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight
Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight Open
Recent advances in Vision-Language-Action (VLA) models demonstrate that visual signals can effectively complement sparse action supervisions. However, letting VLA directly predict high-dimensional visual states can distribute model capacit…
View article: Gut microbiota signature in a cohort of Chinese patients with rosacea
Gut microbiota signature in a cohort of Chinese patients with rosacea Open
View article: Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight
Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight Open
Recent advances in Vision-Language-Action (VLA) models demonstrate that visual signals can effectively complement sparse action supervisions. However, letting VLA directly predict high-dimensional visual states can distribute model capacit…
View article: Gut microbiota signature in a cohort of Chinese patients with rosacea
Gut microbiota signature in a cohort of Chinese patients with rosacea Open
Background: Rosacea is a chronic inflammatory skin disease characterized by diverse symptoms and variable clinical progression, which can significantly impair patients' quality of life and mental health. The exact etiology of rosacea remai…
View article: Multi-Text Guided Few-Shot Semantic Segmentation
Multi-Text Guided Few-Shot Semantic Segmentation Open
Recent CLIP-based few-shot semantic segmentation methods introduce class-level textual priors to assist segmentation by typically using a single prompt (e.g., a photo of class). However, these approaches often result in incomplete activati…
View article: Multi-Text Guided Few-Shot Semantic Segmentation
Multi-Text Guided Few-Shot Semantic Segmentation Open
Recent CLIP-based few-shot semantic segmentation methods introduce class-level textual priors to assist segmentation by typically using a single prompt (e.g., a photo of class). However, these approaches often result in incomplete activati…
View article: EZH2 crosstalk with RNA methylation promotes prostate cancer progression through modulation of m6A autoregulation pathway
EZH2 crosstalk with RNA methylation promotes prostate cancer progression through modulation of m6A autoregulation pathway Open
N6-methyladenosine (m6A), the most predominant RNA modification in humans, participates in various fundamental and pathological bioprocesses. Dynamic manipulation of m6A deposition in the transcriptome is critical for cancer progression, w…
View article: EZH2 crosstalk with RNA methylation promotes prostate cancer progression through modulation of m6A autoregulation pathway
EZH2 crosstalk with RNA methylation promotes prostate cancer progression through modulation of m6A autoregulation pathway Open
N6-methyladenosine (m6A), the most predominant RNA modification in humans, participates in various fundamental and pathological bioprocesses. Dynamic manipulation of m6A deposition in the transcriptome is critical for cancer progression, w…
View article: PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning Open
High-dimensional data often contain low-dimensional signals obscured by structured background noise, which limits the effectiveness of standard PCA. Motivated by contrastive learning, we address the problem of recovering shared signal subs…
View article: PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning Open
High-dimensional data often contain low-dimensional signals obscured by structured background noise, which limits the effectiveness of standard PCA. Motivated by contrastive learning, we address the problem of recovering shared signal subs…
View article: PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning Open
High-dimensional data often contain low-dimensional signals obscured by structured background noise, which limits the effectiveness of standard PCA. Motivated by contrastive learning, we address the problem of recovering shared signal subs…
View article: Analysis of the economic benefits and feasibility of the same-city delivery model for donor human milk (SCDM-DHM)
Analysis of the economic benefits and feasibility of the same-city delivery model for donor human milk (SCDM-DHM) Open
The SCDM-DHM is an adaptation of existing international approaches to the unique infrastructure and policy environment in China. The SCDM-DHM improved breastfeeding rate in the NICU without a human milk bank and remained cost-efficient, de…
View article: Analysis of the economic benefits and feasibility of the same-city delivery model for donor human milk (SCDM-DHM)
Analysis of the economic benefits and feasibility of the same-city delivery model for donor human milk (SCDM-DHM) Open
The SCDM-DHM is an adaptation of existing international approaches to the unique infrastructure and policy environment in China. The SCDM-DHM improved breastfeeding rate in the NICU without a human milk bank and remained cost-efficient, de…
View article: An Alternative Method to Confirm the Tidal Inspiral of Hot Jupiter Kepler-1658b
An Alternative Method to Confirm the Tidal Inspiral of Hot Jupiter Kepler-1658b Open
The tidal decay phenomenon of hot Jupiters has been a significant research topic. Multiple hot Jupiters have been observed by missions including the Kepler space telescope and the Transiting Exoplanet Survey Satellite (TESS) to confirm the…
View article: Ringdown of a black hole embedded in a Burkert dark matter halo
Ringdown of a black hole embedded in a Burkert dark matter halo Open
We construct a new static, spherically symmetric black hole spacetime embedded in a dark matter halo whose density follows the cored Burkert profile. Starting from the halo-only geometry determined by the rotation curve relation, we solve …
View article: An axisymmetric shock breakout indicated by prompt polarized emission from the type II supernova 2024ggi
An axisymmetric shock breakout indicated by prompt polarized emission from the type II supernova 2024ggi Open
The death of massive stars is triggered by an infall-induced bounce shock that disrupts the star. How such a shock is launched and propagates through the star is a decade-long puzzle. Some models assume that the shock can be reenergized by…
View article: Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models
Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models Open
Text-to-music generation technology is progressing rapidly, creating new opportunities for musical composition and editing. However, existing music editing methods often fail to preserve the source music's temporal structure, including mel…
View article: An Alternative Method to Confirm the Tidal Inspiral of Hot Jupiter Kepler-1658b
An Alternative Method to Confirm the Tidal Inspiral of Hot Jupiter Kepler-1658b Open
The tidal decay phenomenon of hot Jupiters has been a significant research topic. Multiple hot Jupiters have been observed by missions including the Kepler space telescope and the Transiting Exoplanet Survey Satellite (TESS) to confirm the…
View article: Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models
Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models Open
Text-to-music generation technology is progressing rapidly, creating new opportunities for musical composition and editing. However, existing music editing methods often fail to preserve the source music's temporal structure, including mel…
View article: Ringdown of a black hole embedded in a Burkert dark matter halo
Ringdown of a black hole embedded in a Burkert dark matter halo Open
We construct a new static, spherically symmetric black hole spacetime embedded in a dark matter halo whose density follows the cored Burkert profile. Starting from the halo-only geometry determined by the rotation curve relation, we solve …
View article: Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models
Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models Open
Text-to-music generation technology is progressing rapidly, creating new opportunities for musical composition and editing. However, existing music editing methods often fail to preserve the source music's temporal structure, including mel…
View article: Ringdown of a black hole embedded in a Burkert dark matter halo
Ringdown of a black hole embedded in a Burkert dark matter halo Open
We construct a new static, spherically symmetric black hole spacetime embedded in a dark matter halo whose density follows the cored Burkert profile. Starting from the halo-only geometry determined by the rotation curve relation, we solve …
View article: Beyond Uniform Deletion: A Data Value-Weighted Framework for Certified Machine Unlearning
Beyond Uniform Deletion: A Data Value-Weighted Framework for Certified Machine Unlearning Open
As the right to be forgotten becomes legislated worldwide, machine unlearning mechanisms have emerged to efficiently update models for data deletion and enhance user privacy protection. However, existing machine unlearning algorithms frequ…