Causal Discovery with Bayesian Networks Inductive Transfer. - Haiyang Jia; Zuoxi Wu; Juan Chen 008; Bingguang Chen; Sicheng Yao (KSEM (1), 2018)

Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. - Peiyan Hu; Qi Meng; Bingguang Chen; Shiqi Gong; Yue Wang 017; Wei Chen 034; Rongchan Zhu; Zhi-Ming Ma; Tie-Yan Liu (CoRR, 2022)

Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations. - Rui Zhang 052; Peiyan Hu; Qi Meng; Yue Wang 017; Rongchan Zhu; Bingguang Chen; Zhi-Ming Ma; Tie-Yan Liu (CoRR, 2022)

Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. - Shiqi Gong; Peiyan Hu; Qi Meng; Yue Wang 017; Rongchan Zhu; Bingguang Chen; Zhiming Ma; Hao Ni; Tie-Yan Liu (AAAI, 2023)

Riemannian Neural Geodesic Interpolant. - Jiawen Wu; Bingguang Chen; Yuyi Zhou; Qi Meng; Rongchan Zhu; Zhi-Ming Ma (CoRR, 2025)

SPDEBench: An Extensive Benchmark for Learning Regular and Singular Stochastic PDEs. - Zheyan Li; Yuantu Zhu; Hao Ni; Siran Li; Bingguang Chen; Qi Meng (CoRR, 2025)