wovepaper — the arXiv observatory

The paper introduces OneShot, an end-to-end framework that jointly learns an index and ranking model for large‑scale retrieval, aligning index structure with ranking objectives and…

Publications (234)

Purely electronic nanometallic ReRAM

Augmentation Matters: A Mix-Paste Method for X-Ray Prohibited Item Detection under Noisy Annotations

Nucleon-Antinucleon Interaction from the Skyrme Model: II. Beyond the Product Ansatz

DPSformer: A long-tail-aware model for improving heavy rainfall prediction

Linear type conditional specifications for multivariate count variables

On Unified and Sharpened CMI Bounds for Generalization Errors

PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation

You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data

Integrated motion control and energy management of series hybrid electric vehicles: A multi-objective MPC approach

Cross-Demographic Portability of Deep NLP-Based Depression Models

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation

OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval

Layer-dependent pressure effect on electronic structures of 2D black phosphorus

A Robust and Accurate Approach to Detect Process Drifts from Event Streams

SIR Model with Stochastic Transmission

Generative Modeling of Convolutional Neural Networks

Learning FRAME Models Using CNN Filters

SWIPTNet: A Unified Deep Learning Framework for SWIPT based on GNN and Transfer Learning

Label-Noise Learning with Intrinsically Long-Tailed Data

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model

Optimal Online Transmission Policy in Wireless Powered Networks with Urgency-aware Age of Information

A Timed Calculus for Mobile Ad Hoc Networks

Comparing Rationality Between Large Language Models and Humans: Insights and Open Questions

FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning

Capability at a Glance: Design Guidelines for Intuitive Avatars Communicating Augmented Actions in Virtual Reality

Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects

Asynchronous Federated Clustering with Unknown Number of Clusters

On privacy preserving data release of linear dynamic networks

Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach

Learning Order Forest for Qualitative-Attribute Data Clustering

GNN-Enabled Optimization of Placement and Transmission Design for UAV Communications

Backtesting Expected Shortfall: Accounting for both duration and severity with bivariate orthogonal polynomials

ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over the Network Edge

Federated Semi-Supervised Learning with Annotation Heterogeneity

Multi-Waveguide Pinching Antennas for ISAC

A Multi-agent Framework for Physical Laws Discovery

Non-Markovian Character in Human Mobility: Online and Offline

Transitive Vision-Language Prompt Learning for Domain Generalization

LAGE: A Java Framework to reconstruct Gene Regulatory Networks from Large-Scale Continues Expression Data

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach

Pion correlation from Skyrmion-AntiSkyrmion annihilation

IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks

Privacy preserving distributed optimization using homomorphic encryption

Learning from Imperfect Text Guidance: Robust Long-Tail Visual Recognition with High-Noise Label

Dynamic Nanodomains Dictate Macroscopic Properties in Lead Halide Perovskites

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition

Scalability of Voltage-Controlled Filamentary and Nanometallic Resistance Memories

Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation

Probing Intrinsic Material Conductivity in Two-Terminal Devices: A Resistance-Difference Method

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

Near-field effects on cathodoluminescence outcoupling in perovskite thin films

The Causal-Noncausal Tail Processes

Energy Consumption Minimization in Secure Multi-antenna UAV-assisted MEC Networks with Channel Uncertainty

Minimum-error discrimination of entangled quantum states

Nucleon-Antinucleon Interaction from the Skyrme Model

Dual-Waveguide Pinching Antennas for PLS: Parallel Placement or Orthogonal Placement?

PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion

The 1st Data Science for Pavements Challenge

Lost in the Tail: Addressing Geographic Imbalance in Urban Visual Place Recognition

Low-Power Computer Vision: Status, Challenges, Opportunities

Vector-valued Privacy-Preserving Average Consensus

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering

Rethinking Publication: A Certification Framework for AI-Enabled Research

Apple Intelligence Foundation Language Models: Tech Report 2025

Discovering Redundant Activities in Event Logs for the Simplification of Process Models

Generative metamaterials based on large language models

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation

Nanotwin-Dominant Superstructures Selectively Grown on Anatase {001} Facets

On the relationship of the scaled phase space and Skyrme-coherent state treatments of proton antiproton annihilation at rest

NOMANet: A Graph Neural Network Enabled Power Allocation Scheme for NOMA

From Perception to Cognition: A Survey of Vision-Language Interactive Reasoning in Multimodal Large Language Models

Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters

The Chemical Evolution from Prestellar to Protostellar Cores: A New Multiphase Model With Bulk Diffusion and Photon Penetration

GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks

Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification

Spatially Adaptive SWIPT with Pinching Antenna under Probabilistic LoS Blockage

Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus

Nucleon-Antinucleon Annihilation in Large Nc QCD with rho and omega Mesons