L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders. - Ruikang Ouyang; Andrew Elliott; Stratis Limnios; Mihai Cucuringu; Gesine Reinert (COMPLEX NETWORKS (1), 2023)

BEnDEM:A Boltzmann Sampler Based on Bootstrapped Denoising Energy Matching. - Ruikang Ouyang; Bo Qiang; José Miguel Hernández-Lobato (CoRR, 2024)

No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers. - Jiajun He 003; Yuanqi Du; Francisco Vargas 001; Dinghuai Zhang; Shreyas Padhy; Ruikang Ouyang; Carla P. Gomes; José Miguel Hernández-Lobato (CoRR, 2025)

Progressive Tempering Sampler with Diffusion. - Severi Rissanen; Ruikang Ouyang; Jiajun He 003; Wenlin Chen; Markus Heinonen; Arno Solin; José Miguel Hernández-Lobato (CoRR, 2025)