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Publication search results
found 114 matches
- 2024
- Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan:
A Gaussian mixture distribution-based adaptive sampling method for physics-informed neural networks. Eng. Appl. Artif. Intell. 135: 108770 (2024) - Changshi Li, Yuling Jiao, Jerry Zhijian Yang:
An error analysis for deep binary classification with sigmoid loss. Inf. Sci. 681: 121166 (2024) - Chenguang Duan, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang:
Current density impedance imaging with PINNs. J. Comput. Appl. Math. 452: 116120 (2024) - Yuan Gao, Jian Huang, Yuling Jiao:
Gaussian Interpolation Flows. J. Mach. Learn. Res. 25: 253:1-253:52 (2024) - Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. J. Mach. Learn. Res. 25: 88:1-88:75 (2024) - Xia Ji, Yuling Jiao, Xiliang Lu, Pengcheng Song, Fengru Wang:
Deep Ritz Method for Elliptical Multiple Eigenvalue Problems. J. Sci. Comput. 98(2): 48 (2024) - Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang:
Nonasymptotic Bounds for Adversarial Excess Risk under Misspecified Models. SIAM J. Math. Data Sci. 6(4): 847-868 (2024) - Jian Huang, Yuling Jiao, Xu Liao, Jin Liu, Zhou Yu:
Deep Dimension Reduction for Supervised Representation Learning. IEEE Trans. Inf. Theory 70(5): 3583-3598 (2024) - Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu:
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. AAAI 2024: 15868-15877 - Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang:
Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond. CoRR abs/2401.04535 (2024) - Jinyuan Chang, Zhao Ding, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang:
Deep Conditional Generative Learning: Model and Error Analysis. CoRR abs/2402.01460 (2024) - Cong Dong, Jiahai Yang, Yun Li, Yue Wu, Yufan Chen, Chenglong Li, Haoran Jiao, Xia Yin, Yuling Liu:
E-DoH: Elegantly Detecting the Depths of Open DoH Service on the Internet. CoRR abs/2403.12363 (2024) - Yuling Jiao, Yuhui Liu, Jerry Zhijian Yang, Cheng Yuan:
A Stabilized Physics Informed Neural Networks Method for Wave Equations. CoRR abs/2403.19090 (2024) - Yuan Gao, Jian Huang, Yuling Jiao, Shurong Zheng:
Convergence of Continuous Normalizing Flows for Learning Probability Distributions. CoRR abs/2404.00551 (2024) - Yuling Jiao, Yanming Lai, Yang Wang, Bokai Yan:
Convergence Analysis of Flow Matching in Latent Space with Transformers. CoRR abs/2404.02538 (2024) - Yuling Jiao, Lican Kang, Huazhen Lin, Jin Liu, Heng Zuo:
Latent Schr{\"o}dinger Bridge Diffusion Model for Generative Learning. CoRR abs/2404.13309 (2024) - Zhao Ding, Chenguang Duan, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang, Pingwen Zhang:
Characteristic Learning for Provable One Step Generation. CoRR abs/2405.05512 (2024) - Yuling Jiao, Yanming Lai, Yang Wang:
Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method. CoRR abs/2405.11451 (2024) - Yuling Jiao, Lican Kang, Jin Liu, Heng Peng, Heng Zuo:
Model Free Prediction with Uncertainty Assessment. CoRR abs/2405.12684 (2024) - Z. T. Wang, Qiuhao Chen, Yuxuan Du, Z. H. Yang, Xiaoxia Cai, Kaixuan Huang, Jingning Zhang, Kai Xu, Jun Du, Yinan Li, Yuling Jiao, Xingyao Wu, Wu Liu, Xiliang Lu, Huikai Xu, Yirong Jin, Ruixia Wang, Haifeng Yu, S. P. Zhao:
Quantum Compiling with Reinforcement Learning on a Superconducting Processor. CoRR abs/2406.12195 (2024) - Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang:
DRM Revisited: A Complete Error Analysis. CoRR abs/2407.09032 (2024) - Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang:
Unsupervised Transfer Learning via Adversarial Contrastive Training. CoRR abs/2408.08533 (2024) - Yuling Jiao, Yang Wang, Bokai Yan:
Approximation Bounds for Recurrent Neural Networks with Application to Regression. CoRR abs/2409.05577 (2024) - Yuling Jiao, Huazhen Lin, Yuchen Luo, Jerry Zhijian Yang:
Deep Transfer Learning: Model Framework and Error Analysis. CoRR abs/2410.09383 (2024) - 2023
- Zhanzhong Wang, Yan Wang, Yu-ling Jiao:
Uncertain Multi-Objective Hazardous Materials Transport Route Planning Considering Resilience and Low-Carbon. IEEE Access 11: 26921-26931 (2023) - Xinyi Yu, Jiashun Xiao, Mingxuan Cai, Yuling Jiao, Xiang Wan, Jin Liu, Can Yang:
PALM: a powerful and adaptive latent model for prioritizing risk variants with functional annotations. Bioinform. 39(2) (2023) - Xingdong Feng, Yuling Jiao, Lican Kang, Baqun Zhang, Fan Zhou:
Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning. J. Mach. Learn. Res. 24: 383:1-383:40 (2023) - Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu, Yuanyuan Yang:
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. J. Sci. Comput. 95(1): 28 (2023) - Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu, Yuanyuan Yang:
Correction to: Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension. J. Sci. Comput. 96(2): 58 (2023) - Yin Dai, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang:
Global Optimization via Schrödinger-Föllmer Diffusion. SIAM J. Control. Optim. 61(5): 2953-2980 (2023)
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