Ruqi Zhang

This publication record appears to blend work from multiple researchers sharing the name Ruqi Zhang, but the core methodological thread centers on computational statistics and machine learning, particularly sampling algorithms (e.g., Markov Chain Monte Carlo, Langevin-based methods), Bayesian deep learning, and generative modeling. Related applications mentioned in the data include drug molecular design, combinatorial optimization, and diffusion-based planning, alongside unrelated publications on chemical engineering, medicine, and power systems that likely belong to a different author with the same name. Prospective students interested in probabilistic machine learning, Bayesian methods, and sampling-based optimization would find the core methodological work most relevant.

Publication counts have grown substantially in recent years, rising from single-digit annual totals earlier in the decade to 20 in 2025, suggesting an increasing or accelerating output, though this may partly reflect conflation of multiple same-named authors in the underlying data.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026