Guannan Zhang
Orcid: 0000-0002-7091-2318
According to our database1,
Guannan Zhang
authored at least 77 papers
between 2008 and 2024.
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Bibliography
2024
J. Sci. Comput., April, 2024
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation.
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Probabilistic Scheme for Semilinear Nonlocal Diffusion Equations with Volume Constraints.
SIAM J. Numer. Anal., December, 2023
Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation.
SIAM J. Sci. Comput., June, 2023
Improving the Expressive Power of Deep Neural Networks through Integral Activation Transform.
CoRR, 2023
Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation.
CoRR, 2023
ULMA: Unified Language Model Alignment with Demonstration and Point-wise Human Preference.
CoRR, 2023
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.
CoRR, 2023
CoRR, 2023
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation.
CoRR, 2023
CoRR, 2023
AntM<sup>2</sup>C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.
CoRR, 2023
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models.
CoRR, 2023
A pseudo-reversible normalizing flow for stochastic dynamical systems with various initial distributions.
CoRR, 2023
Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing.
CoRR, 2023
CoRR, 2023
Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Data Flow Risk Monitoring for Novel Power System Based on Bidirectional Interactive Protocol Traffic.
Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions.
CoRR, 2022
Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems.
J. Comput. Phys., 2021
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the 16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials.
CoRR, 2020
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient.
CoRR, 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy.
CoRR, 2020
A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization.
CoRR, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
A Domain Decomposition Model Reduction Method for Linear Convection-Diffusion Equations with Random Coefficients.
SIAM J. Sci. Comput., 2019
An Improved Discrete Least-Squares/Reduced-Basis Method for Parameterized Elliptic PDEs.
J. Sci. Comput., 2019
Learning nonlinear level sets for dimensionality reduction in function approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2017
Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients.
Numerische Mathematik, 2017
2016
Hyperspherical Sparse Approximation Techniques for High-Dimensional Discontinuity Detection.
SIAM Rev., 2016
Accelerating Stochastic Collocation Methods for Partial Differential Equations with Random Input Data.
SIAM/ASA J. Uncertain. Quantification, 2016
Numerical methods for a class of nonlocal diffusion problems with the use of backward SDEs.
Comput. Math. Appl., 2016
Explicit cost bounds of stochastic Galerkin approximations for parameterized PDEs with random coefficients.
Comput. Math. Appl., 2016
2015
A Hyperspherical Adaptive Sparse-Grid Method for High-Dimensional Discontinuity Detection.
SIAM J. Numer. Anal., 2015
2014
A Hybrid Sparse-Grid Approach for Nonlinear Filtering Problems Based on Adaptive-Domain of the Zakai Equation Approximations.
SIAM/ASA J. Uncertain. Quantification, 2014
An adaptive sparse-grid iterative ensemble Kalman filter approach for parameter field estimation.
Int. J. Comput. Math., 2014
Stochastic finite element methods for partial differential equations with random input data.
Acta Numer., 2014
2012
Error Analysis of a Stochastic Collocation Method for Parabolic Partial Differential Equations with Random Input Data.
SIAM J. Numer. Anal., 2012
2010
SIAM J. Numer. Anal., 2010
2008
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008