Yi Xu
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View article: In situ and in-depth characterization of high quality factor resonance by spatial-resolved asynchronous-sampling terahertz spectroscopy (SPRATS)
In situ and in-depth characterization of high quality factor resonance by spatial-resolved asynchronous-sampling terahertz spectroscopy (SPRATS) Open
View article: Understanding Chinese Society Through Audience Reviews of American Films: Gender and Regional Perspectives
Understanding Chinese Society Through Audience Reviews of American Films: Gender and Regional Perspectives Open
Our study employs computational methods to explore gender and regional differences in Chinese audiences’ preferences for American films and TV dramas, using a rich dataset of Douban movie reviews. We applied advanced topic modeling techniq…
View article: GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction Open
Reconstructing accurate surfaces with radiance fields has achieved remarkable progress in recent years. However, prevailing approaches, primarily based on Gaussian Splatting, are increasingly constrained by representational bottlenecks. In…
View article: Transition Radiation Field Enhanced Laser Proton Acceleration Employing Near-Critical-Density Foam
Transition Radiation Field Enhanced Laser Proton Acceleration Employing Near-Critical-Density Foam Open
Laser-driven protons with ultrafast temporal properties hold great promise for applications, ranging from tumor therapy to compact accelerators. Hybrid acceleration mechanisms that combine multiple field contributions proves critical for a…
View article: REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems Open
Sequential recommendation aims to predict a user's next action in large-scale recommender systems. While traditional methods often suffer from insufficient information interaction, recent generative recommendation models partially address …
View article: MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation Open
Recommender systems traditionally represent items using unique identifiers (ItemIDs), but this approach struggles with large, dynamic item corpora and sparse long-tail data, limiting scalability and generalization. Semantic IDs, derived fr…
View article: Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities Open
Malignant brain tumors have become an aggressive and dangerous disease that leads to death worldwide.Multi-modal MRI data is crucial for accurate brain tumor segmentation, but missing modalities common in clinical practice can severely deg…
View article: Probing the isospin mixing in the 72Kr compound nucleus via GDR γ decay
Probing the isospin mixing in the 72Kr compound nucleus via GDR γ decay Open
View article: Anion Doping Induced Topotactic Phase Transition in Ruddlesden–Popper Cobaltites
Anion Doping Induced Topotactic Phase Transition in Ruddlesden–Popper Cobaltites Open
Thin films of correlated oxides are exceptional platforms for magnetoionics due to their capacity to accommodate significant changes in charge density (i.e., oxidation states) through chemical redox reactions. Ruddlesden‐Popper oxides open…
View article: Cryopreservation as a versatile strategy for the construction and application of organoids
Cryopreservation as a versatile strategy for the construction and application of organoids Open
Organoids are three-dimensional structures derived from stem cells that recapitulate the gene expression profiles and functional characteristics of their tissue of origin, rendering them invaluable tools for disease modeling, drug screenin…
View article: Atomistic Mechanisms of the Crystallographic Orientation‐Dependent Cu<sub>1.8</sub>S Conductive Channel Formation in Cu<sub>2</sub>S‐Based Memristors
Atomistic Mechanisms of the Crystallographic Orientation‐Dependent Cu<sub>1.8</sub>S Conductive Channel Formation in Cu<sub>2</sub>S‐Based Memristors Open
Achieving multiple types of resistive switching in a single material with controlled ionic motion is a key challenge in neuromorphic computing, traditionally addressed by combining materials with distinct switching behaviors. Here, Cu 2‐x …
View article: Revealing the chemical separated two-phase structure in lithium-manganese-rich cathode
Revealing the chemical separated two-phase structure in lithium-manganese-rich cathode Open
Lithium-manganese-rich (LMR) oxides are regarded as one of the most promising cathode materials for next-generation batteries. However, their poor rate capability and performance degradation during cycling present significant challenges fo…
View article: Grayscale-Assisted RGB Image Conversion from Near-Infrared Images
Grayscale-Assisted RGB Image Conversion from Near-Infrared Images Open
View article: Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities Open
Malignant brain tumors have become an aggressive and dangerous disease that leads to death worldwide. Multi-modal MRI data is crucial for accurate brain tumor segmentation, but missing modalities common in clinical practice can severely de…
View article: Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction
Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction Open
The Transformer has proven to be a significant approach in feature interaction for CTR prediction, achieving considerable success in previous works. However, it also presents potential challenges in handling feature interactions. Firstly, …
View article: Surface structure engineering of PtCu clusters enhances the performance of propane dehydrogenation
Surface structure engineering of PtCu clusters enhances the performance of propane dehydrogenation Open
View article: Deep empirical neural network for optical phase retrieval over a scattering medium
Deep empirical neural network for optical phase retrieval over a scattering medium Open
Supervised learning, a popular tool in modern science and technology, thrives on huge amounts of labeled data. Physics-enhanced deep neural networks offer an effective solution to alleviate the data burden by incorporating an analytical mo…
View article: Phase transition of Pb(Hf1-xTix)O3 with low Ti content near the antiferroelectric/ferroelectric phase boundary
Phase transition of Pb(Hf1-xTix)O3 with low Ti content near the antiferroelectric/ferroelectric phase boundary Open
View article: Iron-modified cement hydration regulates DOM transformation and carbon stabilization in soil-concrete systems during rainfall-runoff
Iron-modified cement hydration regulates DOM transformation and carbon stabilization in soil-concrete systems during rainfall-runoff Open
View article: High-fidelity robust decoding of multiplexed recording by deep learning
High-fidelity robust decoding of multiplexed recording by deep learning Open
Multiplexing information in light’s fundamental attributes to create supplementary orthogonal data channels has been well heralded as an effective means for optical data storage with greatly enhanced capacities. However, robust decoding me…
View article: Pie: Pooling CPU Memory for LLM Inference
Pie: Pooling CPU Memory for LLM Inference Open
The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill over to CPU memory; however, traditional GP…
View article: First Proof of Principle Experiment for Muon Production with Ultrashort High Intensity Laser
First Proof of Principle Experiment for Muon Production with Ultrashort High Intensity Laser Open
Muons, which play a crucial role in both fundamental and applied physics, have traditionally been generated through proton accelerators or from cosmic rays. With the advent of ultra-short high-intensity lasers capable of accelerating elect…
View article: Evolutionary Contrastive Distillation for Language Model Alignment
Evolutionary Contrastive Distillation for Language Model Alignment Open
The ability of large language models (LLMs) to execute complex instructions is essential for their real-world applications. However, several recent studies indicate that LLMs struggle with challenging instructions. In this paper, we propos…
View article: First Proof of Principle Experiment for Muon Production with Ultrashort High Intensity Laser
First Proof of Principle Experiment for Muon Production with Ultrashort High Intensity Laser Open
Muons, which play a crucial role in both fundamental and applied physics, have traditionally been generated through proton accelerators or from cosmic rays. With the advent of ultra-short high-intensity lasers capable of accelerating elect…
View article: Good Idea or Not, Representation of LLM Could Tell
Good Idea or Not, Representation of LLM Could Tell Open
In the ever-expanding landscape of academic research, the proliferation of ideas presents a significant challenge for researchers: discerning valuable ideas from the less impactful ones. The ability to efficiently evaluate the potential of…
View article: Superpixel Technique Enabled Spatial Phase Modulation Equalization for Power-Efficient Vortex Beam Generation
Superpixel Technique Enabled Spatial Phase Modulation Equalization for Power-Efficient Vortex Beam Generation Open
Realizing a spatial phase modulation (SPM) from 0 to 2π is vital for achieving precise light field manipulation, when the phase-only spatial light modulator (SLM) is driven by the voltage. However, insufficient bias voltage degrades the qu…
View article: Tailoring the Generalized 2D Airy Beam
Tailoring the Generalized 2D Airy Beam Open
Generalized two-dimensional (2D) Airy beam is a kind of self-accelerating beam with variable initial angle between its two wings, manifested itself as an initial angle determined parabolic trajectory during the free-space propagation. Howe…
View article: Non-orthogonal optical multiplexing empowered by deep learning
Non-orthogonal optical multiplexing empowered by deep learning Open
Orthogonality among channels is a canonical basis for optical multiplexing featured with division multiplexing, which substantially reduce the complexity of signal post-processing in demultiplexing. However, it inevitably imposes an upper …
View article: Dragonfly Wings-Inspired, Anti-Freezing, Ultra-Stretchable, and Transparent Nano-Structure Hydrogel for Non-Delayed Wearable Sensing at Low-Temperatures
Dragonfly Wings-Inspired, Anti-Freezing, Ultra-Stretchable, and Transparent Nano-Structure Hydrogel for Non-Delayed Wearable Sensing at Low-Temperatures Open
View article: Pouchitis Is Associated with Paneth Cell Dysfunction and Ameliorated by Exogenous Lysosome in a Rat Model Undergoing Ileal Pouch Anal Anastomosis
Pouchitis Is Associated with Paneth Cell Dysfunction and Ameliorated by Exogenous Lysosome in a Rat Model Undergoing Ileal Pouch Anal Anastomosis Open
Background: Pouchitis is a common complication of restorative proctocolectomy and ileal pouch anal anastomosis (IPAA) for ulcerative colitis (UC), significantly affecting the postoperative quality of life. Paneth cells play an important ro…