Rui Zhang

42

Papers

46

Total Citations

Papers (42)

3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering

Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct

EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models

SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection

OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis

Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?

QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation

NeurIPS 2025arXiv

QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code

NeurIPS 2025arXiv

Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models

Clean-Label Graph Backdoor Attack in the Node Classification Task

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning

Emergent Communication for Numerical Concepts Generalization

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model

AutoOS: Make Your OS More Powerful by Exploiting Large Language Models

Prompt-based Visual Alignment for Zero-shot Policy Transfer

Fixed-Point Back-Propagation Training

Domain-Specific Suppression for Adaptive Object Detection

ISNet: Shape Matters for Infrared Small Target Detection

Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization

Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement

Outpainting by Queries

Quantile Propagation for Wasserstein-Approximate Gaussian Processes

NeurIPS 2020arXiv

Distilling Object Detectors with Feature Richness

NeurIPS 2021arXiv

Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training

NeurIPS 2021arXiv

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning

NeurIPS 2022arXiv

Object-Category Aware Reinforcement Learning

NeurIPS 2022arXiv

Learning Domain-Aware Detection Head with Prompt Tuning

NeurIPS 2023arXiv

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression

NeurIPS 2023arXiv

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning

NeurIPS 2023arXiv

Emergent Communication for Rules Reasoning

NeurIPS 2023arXiv

ANPL: Towards Natural Programming with Interactive Decomposition

NeurIPS 2023arXiv

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning

Context Shift Reduction for Offline Meta-Reinforcement Learning

NeurIPS 2023arXiv