Zhichao Lu

Rethinking Code Similarity for Automated Algorithm Design with LLMs

Hierarchical Representations for Cross-task Automated Heuristic Design using LLMs

Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies

Rethinking Distance Metric Generalization in Neural Combinatorial Optimization for Vehicle Routing Problems

EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models

Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning

FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis

A Neural Architecture Dataset for Adversarial Robustness

SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning