Xiao Zhang

38

Papers

22

Total Citations

Papers (38)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph

Hierarchical Implicit Neural Emulators

NeurIPS 2025arXiv

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization

Nested Diffusion Models Using Hierarchical Latent Priors

An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control

TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models

NaMa: Neighbor

Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations

Conditional Language Learning with Context

P2SGrad: Refined Gradients for Optimizing Deep Face Models

Normalized Diversification

AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection

Automatic Spatially-Aware Fashion Concept Discovery

Range Loss for Deep Face Recognition With Long-Tailed Training Data

SegSort: Segmentation by Discriminative Sorting of Segments

RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification

Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

Trigger3:Refining Query Correction via Adaptive Model Selector

An Adaptive Empirical Bayesian Method for Sparse Deep Learning

Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness

Self-Supervised Visual Representation Learning from Hierarchical Grouping

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?

Reward Imputation with Sketching for Contextual Batched Bandits

Asynchronous Distributed Variational Gaussian Process for Regression

A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery

Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow

A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery

Incremental Randomized Sketching for Online Kernel Learning