Wei Guo
- Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
- Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
- MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
- P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models