Yang Yang

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation

Neural Dynamics Self-Attention for Spiking Transformers

Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain

Positional Encoding for Spiking Transformers

Robust Spiking Neural Networks Against Adversarial Attacks

Topological Retrieval-Augmented Generation via Intersecting Evidence Paths

Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization

TP-Spikformer: Token Pruned Spiking Transformer

RAG-FGO: Enhancing RAG with Fungal Growth Optimizer for LLM Agents

Text summarization via global structure awareness

Beyond Audio-Visual Alignment: Unmasking Talking Head Deepfakes via Red Hue Discrepancies in HSV Color Space

Enhancing Reasoning Chains through GANs and Textual Gradient Feedback

Unlocking Coherent Reasoning in LLMs with Hierarchical Soft Prompts

Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models

Topology aware optimization of soft prompts

MemoryField: Exploiting Gravitational Field for Long-term Memory Management

More Than One Teacher: Adaptive Multi-Guidance Policy Optimization for Diverse Exploration

SCMF: Lightweight Retrieval-Augmented Generation via Retrieval Vector Compression

BSO: Binary Spiking Online Optimization Algorithm

Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling

Bipolar Self-attention for Spiking Transformers

Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks

An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective

Multi-View Graph Clustering via Node-Guided Contrastive Encoding

Spiking Vision Transformer with Saccadic Attention

Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models

Quantized Spike-driven Transformer