CDOCKER and λ-dynamics for prospective prediction in D3R Grand Challenge 2. - Xinqiang Ding; Ryan L. Hayes; Jonah Z. Vilseck; Murchtricia K. Charles; Charles L. Brooks III (J. Comput. Aided Mol. Des., 2018)

Improving Importance Weighted Auto-Encoders with Annealed Importance Sampling. - Xinqiang Ding; David J. Freedman (CoRR, 2019)

Computing Absolute Free Energy with Deep Generative Models. - Xinqiang Ding; Bin Zhang (CoRR, 2020)

Contrastive Learning of Coarse-Grained Force Fields. - Xinqiang Ding; Bin Zhang (CoRR, 2022)

Bayesian Multistate Bennett Acceptance Ratio Methods. - Xinqiang Ding (CoRR, 2023)

OpenABC enables flexible, simplified, and efficient GPU accelerated simulations of biomolecular condensates. - Shuming Liu 003; Cong Wang; Andrew P. Latham; Xinqiang Ding; Bin Zhang 041 (PLoS Comput. Biol., 2023)