Convergence Rate Analysis for Deep Ritz Method. - Chenguang Duan; Yuling Jiao; Yanming Lai; Xiliang Lu; Jerry Zhijian Yang (CoRR, 2021)

Analysis of Deep Ritz Methods for Laplace Equations with Dirichlet Boundary Conditions. - Chenguang Duan; Yuling Jiao; Yanming Lai; Xiliang Lu; Qimeng Quan; Jerry Zhijian Yang (CoRR, 2021)

Fast Excess Risk Rates via Offset Rademacher Complexity. - Chenguang Duan; Yuling Jiao; Lican Kang; Xiliang Lu; Jerry Zhijian Yang (ICML, 2023)

Current density impedance imaging with PINNs. - Chenguang Duan; Yuling Jiao; Xiliang Lu; Jerry Zhijian Yang (CoRR, 2023)

Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond. - Zhao Ding; Chenguang Duan; Yuling Jiao; Jerry Zhijian Yang (CoRR, 2024)

Characteristic Learning for Provable One Step Generation. - Zhao Ding; Chenguang Duan; Yuling Jiao; Ruoxuan Li; Jerry Zhijian Yang; Pingwen Zhang (CoRR, 2024)

Unsupervised Transfer Learning via Adversarial Contrastive Training. - Chenguang Duan; Yuling Jiao; Huazhen Lin; Wensen Ma; Jerry Zhijian Yang (CoRR, 2024)

Nonlinear Assimilation with Score-based Sequential Langevin Sampling. - Zhao Ding; Chenguang Duan; Yuling Jiao; Jerry Zhijian Yang; Cheng Yuan; Pingwen Zhang (CoRR, 2024)

Current density impedance imaging with PINNs. - Chenguang Duan; Junjun Huang; Yuling Jiao; Xiliang Lu; Jerry Zhijian Yang (J. Comput. Appl. Math., 2024)

Deep contrastive representation learning for supervised tasks. - Chenguang Duan; Yuling Jiao; Lican Kang; Jerry Zhijian Yang; Fusheng Zhou (Pattern Recognit., 2025)

Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network. - Zhao Ding; Chenguang Duan; Yuling Jiao; Jerry Zhijian Yang (IEEE Trans. Inf. Theory, 2025)