Yuhua Zhou

Caduceus: MoE-enhanced Foundation Models Unifying Biological and Natural Language

Large Language Model Compression with Global Rank and Sparsity Optimization

BUDDY: BUdget-Driven DYnamic Depth Routing for Adaptive Large Language Models Inference

GeoSketch: A Neural-Symbolic Approach to Geometric Multimodal Reasoning with Auxiliary Line Construction and Affine Transformation

AdaKAN: Kolmogorov-Arnold Networks with Adaptive Spectral Decomposition for Time Series Forecasting

Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth

UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery

BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing

Efficient Fine-Tuning of Quantized LLMs via Three-Stage Optimization

Bi-Share LoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing