Bo Du

D$^2$GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View Reconstruction

Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning

Epistemic-Aware Vision–Language Foundation Model for Fetal Ultrasound Interpretation

Better, Faster: Harnessing Self-Improvement in Large Reasoning Models

DiT360: High-Fidelity Panoramic Image Generation via Hybrid Training

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation

Intra-Trajectory Consistency for Reward Modeling

UMC: A Unified Approach for Resilient Control of Legged Robots Across Masked Malfunction Training

MAPO: MIXED ADVANTAGE POLICY OPTIMIZATION

Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG

GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution

Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings

HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning

Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making

Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning

DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration

OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration

AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation

Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs

Backdoor Cleaning without External Guidance in MLLM Fine-tuning

Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning

Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning

Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging

MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning

Goal-Conditioned Reinforcement Learning with Virtual Experiences

Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient

FusionBench: A Comprehensive Benchmark of Deep Model Fusion

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need

Balancing Token Efficiency and Structural Accuracy in LLMs Image Generation by Combining VQ-VAE and Diffusion Tokenizers